<?xml version="1.0" encoding="utf-8" standalone="no"?><Article>
<ArticleInfo ArticleType="OriginalPaper" ContainsESM="Yes" Language="En" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0">
<ArticleID/>
<ArticleDOI>
<?InsertOnReleaseDOI DOI?>
</ArticleDOI>
<ArticleSequenceNumber>0</ArticleSequenceNumber>
<ArticleTitle Language="En" OutputMedium="All"><Annotation Category="Discrepancy" ID="1" RuleID="PrimaryArticleTitleDiscrepancy_01" Status="ignored"/>Pregnancy and Postpartum Nutritional Wants and Needs in Athletes: A Cross-Sectional Survey in the United Kingdom and Republic of Ireland</ArticleTitle>
<ArticleCategory>OriginalPaper</ArticleCategory>
<ArticleFirstPage>1</ArticleFirstPage>
<ArticleLastPage>1</ArticleLastPage>
<ArticleHistory>
<RegistrationDate>
<Year>
<?InsertOnReleaseYear OnlineYear?>
</Year>
<Month>
<?InsertOnReleaseMonth OnlineMonth?>
</Month>
<Day>
<?InsertOnReleaseDay OnlineDay?>
</Day>
</RegistrationDate>
<OnlineDate>
<Year>
<?InsertOnReleaseYear OnlineYear?>
</Year>
<Month>
<?InsertOnReleaseMonth OnlineMonth?>
</Month>
<Day>
<?InsertOnReleaseDay OnlineDay?>
</Day>
</OnlineDate>
</ArticleHistory>
<ArticleCopyright>
<CopyrightHolderName>
<?InsertOnReleaseOnlineCopyrightName CopyrightName?>
</CopyrightHolderName>
<CopyrightYear>2018</CopyrightYear>
</ArticleCopyright>
<ArticleContext>
<JournalID>44410</JournalID>
<VolumeIDStart>
<?InsertOnReleaseVolumeIDStart VolumeIDStart?>
</VolumeIDStart>
<VolumeIDEnd>
<?InsertOnReleaseVolumeIDEnd VolumeIDEnd?>
</VolumeIDEnd>
<IssueIDStart>
<?InsertOnReleaseIssueIDStart IssueIDStart?>
</IssueIDStart>
<IssueIDEnd>
<?InsertOnReleaseIssueIDEnd IssueIDEnd?>
</IssueIDEnd>
</ArticleContext>
</ArticleInfo>
<ArticleHeader>
<AuthorGroup><Annotation Category="Discrepancy" ID="2" RuleID="MismatchInAuthorNames_01" Status="ignored" Values="Catherine V.  George"/>
<Author AffiliationIDS="Aff1 Aff2" AuthorGuidID="c7a4c6e1-631a-4f99-be3e-d6cb6a10698c" EqualContribution="No" ID="Au1" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>IrelandCatherine</GivenName>
<GivenName>V.</GivenName>
<FamilyName>George</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff1" AuthorGuidID="d3a6e6be-8446-4a35-bb00-2e94eba5745f" EqualContribution="No" ID="Au2" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Zoë</GivenName>
<FamilyName>Bell</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff1 Aff3" AuthorGuidID="3012071c-cee7-48bb-85f5-a273709b7c22" EqualContribution="No" ID="Au3" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Michèle</GivenName>
<FamilyName>Renard</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff1" AuthorGuidID="5806b211-7da2-4046-b267-c5b506ef6e1d" EqualContribution="No" ID="Au4" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Elizabeth</GivenName>
<FamilyName>Brown</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff4" AuthorGuidID="2dfab808-cfc1-4265-88ce-ebef995ed188" EqualContribution="No" ID="Au5" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Paulina</GivenName>
<FamilyName>Kloskowska</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff5" AuthorGuidID="75e22efc-339f-4202-a002-30795d23142a" EqualContribution="No" ID="Au6" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Laura</GivenName>
<FamilyName>Edwards</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff6" AuthorGuidID="22c74b98-96f2-4a52-813d-f550d419bbac" EqualContribution="No" ID="Au7" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Alexandra</GivenName>
<FamilyName>Newman</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff6" AuthorGuidID="0dec158f-17f6-4588-94f7-92263bc25e46" EqualContribution="No" ID="Au8" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Andri</GivenName>
<FamilyName>Rauber</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff2" AuthorGuidID="c22048d6-f0ce-4169-9e75-22cd88dd0cce" EqualContribution="No" ID="Au9" SubmissionCorrespondingAuthor="No">
<AuthorName>
<GivenName>Angela</GivenName>
<GivenName>C.</GivenName>
<FamilyName>Flynn</FamilyName>
</AuthorName>
</Author>
<Author AffiliationIDS="Aff1 Aff7" AuthorGuidID="4d48fd61-80a6-444c-80d4-5528d9c8950c" CorrespondingAffiliationID="Aff7" EqualContribution="No" ID="Au10" SubmissionCorrespondingAuthor="No">
<AuthorName>
<Prefix>Dr</Prefix>
<GivenName>Fiona</GivenName>
<FamilyName>Lavelle</FamilyName>
</AuthorName>
<Contact>
<Email>Fiona.lavelle@kcl.ac.uk</Email>
</Contact>
</Author>
<Affiliation AuthorGuidID="c7a4c6e1-631a-4f99-be3e-d6cb6a10698c d3a6e6be-8446-4a35-bb00-2e94eba5745f 3012071c-cee7-48bb-85f5-a273709b7c22 5806b211-7da2-4046-b267-c5b506ef6e1d 4d48fd61-80a6-444c-80d4-5528d9c8950c" ID="Aff1"><Annotation Category="Discrepancy" ID="3" RuleID="MismatchInCorrAuthorAffiliationsCountry_01" Status="ignored" Values="Fiona Lavelle"/>
<OrgDivision>Department of Nutritional Sciences, School of Life Course &amp; Population Sciences</OrgDivision>
<OrgName>King’s College London</OrgName>
<OrgAddress>
<City>London</City>
<Country Code="GB">United Kingdom</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="c7a4c6e1-631a-4f99-be3e-d6cb6a10698c c22048d6-f0ce-4169-9e75-22cd88dd0cce" ID="Aff2">
<OrgDivision>School of Population Health</OrgDivision>
<OrgName>Royal College of Surgeons Ireland</OrgName>
<OrgAddress>
<City>Dublin</City>
<Country Code="IE">Ireland</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="3012071c-cee7-48bb-85f5-a273709b7c22" ID="Aff3">
<OrgDivision>SHE Research Centre, Department of Sport and Health Sciences</OrgDivision>
<OrgName>Technological University of the Shannon</OrgName>
<OrgAddress>
<City>Athlone</City>
<Country Code="IE">Ireland</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="2dfab808-cfc1-4265-88ce-ebef995ed188" ID="Aff4">
<OrgDivision>Physiotherapy Department, School of Life Course and Population Sciences</OrgDivision>
<OrgName>King’s College London</OrgName>
<OrgAddress>
<City>London</City>
<Country Code="GB">United Kingdom</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="75e22efc-339f-4202-a002-30795d23142a" ID="Aff5">
<OrgDivision>King’s Sport &amp; Wellness</OrgDivision>
<OrgName>King’s College London</OrgName>
<OrgAddress>
<City>London</City>
<Country Code="GB">United Kingdom</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="22c74b98-96f2-4a52-813d-f550d419bbac 0dec158f-17f6-4588-94f7-92263bc25e46" ID="Aff6">
<OrgName>UK Sport</OrgName>
<OrgAddress>
<City>London</City>
<Country Code="GB">United Kingdom</Country>
</OrgAddress>
</Affiliation>
<Affiliation AuthorGuidID="4d48fd61-80a6-444c-80d4-5528d9c8950c" ID="Aff7">
<OrgDivision>Department of Nutritional Sciences</OrgDivision>
<OrgName>King’s College London</OrgName>
<OrgAddress>
<Street>150 Stamford Street</Street>
<Postcode>SE1 9NH</Postcode>
<City>London</City>
<Country Code="GB">United Kingdom</Country>
</OrgAddress>
</Affiliation>
</AuthorGroup>
<RawAuthorGroup>
<Para ID="Par1">
<Emphasis Type="Bold">Catherine V. George</Emphasis>
<Superscript>
<Emphasis Type="Bold">1,2</Emphasis>
</Superscript>, <Emphasis Type="Bold">Zoë Bell</Emphasis><Superscript><Emphasis Type="Bold">1</Emphasis></Superscript>, <Emphasis Type="Bold">Michèle Renard</Emphasis><Superscript><Emphasis Type="Bold">1,3</Emphasis></Superscript>, <Emphasis Type="Bold">Elizabeth Brown</Emphasis><Superscript><Emphasis Type="Bold">1</Emphasis></Superscript>, <Emphasis Type="Bold">Paulina Kloskowska</Emphasis><Superscript><Emphasis Type="Bold">4</Emphasis></Superscript>, <Emphasis Type="Bold">Laura Edwards</Emphasis><Superscript><Emphasis Type="Bold">5</Emphasis></Superscript>, <Emphasis Type="Bold">Alexandra Newman</Emphasis><Superscript><Emphasis Type="Bold">6</Emphasis></Superscript>, <Emphasis Type="Bold">Andri Rauber</Emphasis><Superscript><Emphasis Type="Bold">6</Emphasis></Superscript>, <Emphasis Type="Bold">Angela C. Flynn</Emphasis><Superscript><Emphasis Type="Bold">2</Emphasis></Superscript>, <Emphasis Type="Bold">and Fiona Lavelle</Emphasis><Superscript><Emphasis Type="Bold">1*</Emphasis></Superscript></Para>
<Para ID="Par2">
<Superscript>1</Superscript>Department of Nutritional Sciences, School of Life Course &amp; Population Sciences, King’s College London, London, United Kingdom</Para>
<Para ID="Par3">
<Superscript>2</Superscript>School of Population Health, Royal College of Surgeons Ireland, Dublin, Ireland</Para>
<Para ID="Par4">
<Superscript>3</Superscript>SHE Research Centre, Department of Sport and Health Sciences, Technological University of the Shannon, Athlone, Ireland</Para>
<Para ID="Par5">
<Superscript>4</Superscript>Physiotherapy Department, School of Life Course and Population Sciences, King’s College London, London, United Kingdom</Para>
<Para ID="Par6">
<Superscript>5</Superscript>King’s Sport &amp; Wellness, King’s College London, London, United Kingdom</Para>
<Para ID="Par7">
<Superscript>6</Superscript>UK Sport, London, United Kingdom</Para>
<Para ID="Par8">
<Emphasis Type="Bold">*Corresponding author; Dr Fiona Lavelle, King’s College London, Department of Nutritional Sciences, 150 Stamford Street, London, SE1 9NH, United Kingdom; Fiona.lavelle@kcl.ac.uk</Emphasis>
</Para>
</RawAuthorGroup>
<Abstract ID="Abs1" Language="En" OutputMedium="All">
<Heading>Abstract</Heading>
<AbstractSection ID="ASec1">
<Heading>Background</Heading>
<Para ID="Par9" POI="True"><Annotation ID="4" RuleID="IdentifyHumanEthicsAndConsentToParticipate_01" Status="ignored"/>There is a need to continue to understand, nutrition, and overall health and wellbeing of athletes during pregnancy and postpartum. This study aimed to explore nutritional perceptions, needs, preferences, and concerns of female athletes in the United Kingdom (UK) and Republic of Ireland (ROI) during pregnancy and postpartum. An exploratory cross-sectional online survey was conducted between April and May 2024 among athletes ≥ 18 years who had experienced a pregnancy while competing (or retiring due to pregnancy) within the last eight years. Descriptive analyses were conducted for the full sample and stratified by pregnancy status and athlete level. Group differences were assessed using chi-square and McNemar’s test.</Para>
</AbstractSection>
<AbstractSection ID="ASec2">
<Heading>Results</Heading>
<Para ID="Par10">287 athletes (34.7 ± 3.8years) from 48 different primary sporting types and activities completed the survey. 44% were elite and 56% active non-elite. Only 21.6% of athletes received nutrition advice during pregnancy and 10.8% during postpartum, with no significant differences between levels (pregnancy: p = 0.61; postpartum: p = 0.81). Most advice focused on general healthy eating and supplementation, while athletes expressed a strong preference for specific nutrition for athletes during pregnancy or postpartum, supplement use, and return-to-sport nutrition, ideally delivered by registered dietitians/nutritionists or sporting organisations in addition to general and sport healthcare providers.</Para>
</AbstractSection>
<AbstractSection ID="ASec3">
<Heading>Conclusion</Heading>
<Para ID="Par11">Pregnant and postpartum athletes in the UK and ROI receive limited nutrition support that did not meet the demands of training, recovery or return to sport. There is a clear need for athlete-specific nutrition education and coordinated care pathways between maternity and sport performance systems.</Para>
</AbstractSection>
</Abstract>
<KeywordGroup Language="En" OutputMedium="All">
<Heading>Key words:</Heading>
<Keyword>Pregnancy</Keyword>
<Keyword>Postpartum</Keyword>
<Keyword>Athlete</Keyword>
<Keyword>Nutrition</Keyword>
<Keyword>Sports Nutrition</Keyword>
<Keyword>Physical Activity</Keyword>
<Keyword>Supplementation</Keyword>
<Keyword>Performance</Keyword>
<Keyword>Training</Keyword>
<Keyword>Guidance</Keyword>
<Keyword>Health</Keyword>
</KeywordGroup>
</ArticleHeader>
<Body><Annotation Category="Information" ID="5" RuleID="MissingConsentToParticipate_01" Status="ignored"/><Annotation Category="Information" ID="6" RuleID="HumanEthicsDecission_01" Status="neutral"/>
<Section1 ID="Sec1">
<Heading>Background</Heading>
<Para ID="Par12">An increasing number of females are engaging in physical activity, including structured exercise and competitive sport, during pregnancy and postpartum (1, 2), leading to a growing body of research, rising media visibility, and the ongoing professionalisation of women’s sport. As a result, many female athletes are choosing to pursue pregnancy and parenthood while maintaining exercise and training loads, competitive careers, return-to-play timelines, and childcare arrangements that were not previously considered feasible, particularly within high-performance sporting environments (3). This evolving landscape highlights the need to continue to understand how pregnancy and postpartum intersect with training, nutrition, and the health and wellbeing of athletes of all abilities.</Para>
<Para ID="Par13">Nutrition during pregnancy and postpartum is a well-established determinant of maternal and infant health. Key micronutrients, including iron, zinc, iodine, long-chain polyunsaturated fatty acids, and vitamins A, B6, B12 and folate, play essential roles in early pregnancy by influencing oxidative stress, immune function, methylation, and cellular differentiation during critical developmental periods such as implantation, placenta function and organ formation (4). Nutrition guidance during pregnancy and postpartum generally promotes a balanced dietary pattern in line with national healthy eating recommendations, adequate folic acid and vitamin D intake, moderation of foods high in sugar and saturated fat, and avoidance of alcohol and specific high-risk foods (5, 6). Suboptimal maternal nutrition has implications on both short- and long-term outcomes including, 1) neonatal: increased risk of preterm birth and low birthweight; 2) metabolic: increased risk of gestational diabetes and gestational hypertension, cardiovascular disease and type 2 diabetes; and 3) developmental: impaired cognitive development and altered growth trajectories in infancy and childhood (4).</Para>
<Para ID="Par14">Female athletes have unique physiological, training and performance demands that require tailored nutritional strategies (7). During pregnancy, basal metabolic rate and micronutrient requirements increase to support maternal tissue expansion and fetal development, while the energy expenditure associated with ongoing training is often maintained (8, 9). This can exacerbate the risk of inadequate energy and nutrition intake and low energy availability, concerns already well recognised in female athletes (10). Such that, insufficient energy or nutrient intake during this period has the potential to adversely affect maternal metabolic regulation, fetal growth trajectories, and training adaptation or performance capacity. Exercise during pregnancy is associated with numerous health benefits and growing evidence indicates that high volume and/or long duration exercise, common features of high calibre athletic training, during pregnancy are not associated with adverse maternal or neonatal outcomes (11). This could suggest that the primary consideration is whether energy intake adequately matches elevated physiological demands rather than exercise participation itself. In the postpartum period, additional factors, including recovery from childbirth, breastfeeding-related energy requirements, sleep disruption and return-to-sport timelines may further influence nutritional status and behaviours (12). Despite this, there remains a lack of empirical data specific to pregnant and postpartum athletes related to nutrition (13).</Para>
<Para ID="Par15">While some elite sport organisations have introduced pregnancy and maternity policies for athletes (14–20), these efforts have focused on physical training adaptations and return-to-play timelines rather than comprehensive dietary guidance. Qualitative data from elite female athletes in the United Kingdom (UK) shows that nutrition and supplementation guidance during pregnancy and postpartum was limited across sporting disciplines, organisations, governing bodies and medical providers (13, 21). For example, several athletes reported difficulty identifying Informed-Sport certified folic acid supplements, despite clear public health recommendations advising 400 µg of folic acid daily before conception and through the first trimester to reduce neural tube defects (5). Addressing this gap necessitates the provision of evidence-based nutritional guidance specifically tailored to the unique requirements of females in elite sport. It is still unclear when nutrition guidance should be delivered, what it should consist of, and who is best placed to provide it. Importantly, there is limited understanding of what information athletes themselves consider most relevant or valuable during pregnancy and postpartum. Ensuring that athletes’ priorities inform future guidance is critical to developing support that is both acceptable and effective (22). This cross-sectional study therefore aimed to explore female athletes’ nutritional perceptions, needs, preferences and concerns in the UK and Republic of Ireland (ROI) during pregnancy and postpartum, and investigate how these differed by pregnancy status and athlete level.</Para>
</Section1>
<Section1 ID="Sec2">
<Heading>Methods</Heading>
<Para ID="Par16"><Annotation Category="Information" ID="7" RuleID="IdentifyEthicsStatements_01" Status="neutral" Values="Humans Ethics Statement"/> This study was approved by King’s College London’s ethics committee (Ref No: LRU/DP-23/24-41676) and was conducted in line with the guidance given in the Declaration of Helsinki. Methodological information is reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist (23) <Emphasis Type="Bold">(see Additional file 1).</Emphasis> The protocol was registered on the Open Science Framework (24).</Para>
<Section2 ID="Sec3">
<Heading>Study Design and Sample</Heading>
<Para ID="Par17" POI="True">An exploratory cross-sectional online survey was conducted and hosted on Qualtrics XM software (Provo, UT). Between April and May 2024, a convenience sample of athletes was recruited using multiple strategies including dissemination through researcher networks, UK Sport and King’s Sport networks and social media (e.g., X, Instagram, Facebook and LinkedIn). Participants were eligible if they were &gt; 18 years, had experienced a pregnancy while competing (or retiring due to pregnancy) within the last eight years, willing and able to give informed consent and a resident of the UK or ROI.</Para>
<Para ID="Par18">Athlete level was assessed in the survey using a training and performance calibre framework (25). Following the consensus set by the International Olympic Committee (26) and previous research (3, 27), elite athletes were defined as individuals who are part of any national team or other high-level representative teams in any sport, as organised by a National Sports Federation. Such that, “Elite Athletes” defined in this study, encompass Tiers 3 (Highly Trained/National Level), 4 (Elite/International Level) and 5 (World Class) from the performance calibre framework (25) and “Active Non-Elite” encompass Tiers 1 (Recreationally Active) and 2 (Trained/Developmental).</Para>
</Section2>
</Section1>
<Section1 ID="Sec4">
<Heading>Survey Development and Design</Heading>
<Para ID="Par19" POI="True">A research team with expertise in behavioural nutrition, sports and exercise science, maternal and child health, sport standards and operations, and survey development and validation, developed and tested the questionnaire. Key topics of importance for investigation were identified in previous qualitative research (13, 21) and reviewed by two members of UK Sport (AN, AR), representing the female athletes. Where possible existing reliable and validated instruments were used for the survey (25, 28–30), otherwise researcher developed measures were used. The survey included a combination of dichotomous, multiple choice, matrix and open-ended questions on sociodemographic, athlete and sporting characteristics, pregnancy and postpartum nutritional support and preferences, experienced pregnancy and postpartum symptoms, performance changes and supplementation behaviours. An overview of these measures is provided in Table <InternalRef RefID="Tab1">1</InternalRef>.</Para>
<Para ID="Par20">
<Table Float="Yes" ID="Tab1">
<Caption Language="En">
<CaptionNumber>Table 1</CaptionNumber>
<CaptionContent>
<SimplePara><Emphasis Type="Bold">Dimensions assessed, and main variables recorded to answer the research questions</Emphasis></SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="4">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<thead>
<row>
<entry align="left" colname="c1">
<SimplePara>Dimension assessed</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Main variable</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Response categories</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>Reference</SimplePara>
</entry>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Demographic characteristics</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Sex/gender, age, country/region, marital status, education, occupation status</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Demographic questions, multiple choice</SimplePara>
</entry>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pregnancy and Postpartum Characteristics</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Currently pregnant, pregnancy week, number of months postpartum, number of children, retired from athletic career, reason for retirement, year of retirement, pregnancy symptoms experienced.</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Multiple choice, dichotomous, open-ended questions, matrix questions</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>25, 30</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Exercise/Sport Characteristics</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Type of primary sport, number of years participating in primary sport, highest level played/competed at in primary sport, current frequency of exercise (hours/week), timing of and types of changes made to training or competition schedule during pregnancy, perceived performance changes due to experiencing a pregnancy, experience of pregnancy symptoms during each trimester, time to return to same or similar performance calibre postpartum, retired from athletic career, reason for retirement, year of retirement.</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Multiple choice, dichotomous, open-ended questions</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>25, 28–30</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Support Access and Nutritional Concerns in Pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Participants were asked if they had access to sporting organisation or National Governing Body pregnancy and/or maternity guidelines, access to nutrition advice during pregnancy, changes made during pregnancy as a result of the advice, from whom/where the advice received came from, and in what format was the advice provided. Participants were then asked if all their questions and/or concerns during pregnancy were addressed, what nutrition advice during pregnancy they wanted to receive, from whom/where and in what format they wanted to receive it.</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Multiple choice, dichotomous, open-ended questions</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Support Access and Nutritional Concerns in Postpartum</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Participants were asked if they had access to nutrition advice during postpartum and/or returning to sport, changes made during postpartum and/or returning to sport as a result of the advice, from whom/where the advice received came from, and in what format was the advice provided. Participants were then asked if all their questions and/or concerns during postpartum were addressed, what nutrition advice during postpartum they wanted to receive, from whom/where and in what format they wanted to receive it. Participants were then asked to identify perceived challenges during postpartum</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Multiple choice, dichotomous, open-ended questions</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Supplementation Behaviours</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>Reason for using sport or pregnancy dietary supplements</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Multiple choice</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>29</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
</Section1>
<Section1 ID="Sec5">
<Heading>Face Validity, Review and Piloting</Heading>
<Para ID="Par21">Face validity was obtained by research team members not involved in initial development, reviewing the questionnaire using their knowledge and experience in the relevant areas. The questionnaire had a two-stage face validity process. Stage one included the presentation of the questionnaire contents to two experts in the field: one with a background in exercise research and one with a background in maternal health and nutrition. Both experts were provided with a document containing a template to complete with a column added for them to conclude if they ‘Agree’ or ‘Disagree’ with each survey question and a column for additional comments. They were asked to consider if each question was appropriate to gather the information needed for the intended outcomes of the survey.</Para>
<Para ID="Par22">A second round of face validity was then conducted after the initial round of feedback was received and relevant amendments made. This face validity review gathered feedback using the same template from a further five experts with a background in either exercise research or maternal health. Two female postpartum athletes based in the United States and two recreationally active women (one pregnant and one postpartum) based in the ROI piloted the survey to ensure clarity of questions, usability, and length of time of completion.</Para>
</Section1>
<Section1 ID="Sec6">
<Heading>Data Collection</Heading>
<Para ID="Par23" POI="True"><Annotation Category="Information" ID="8" RuleID="IdentifyEthicsStatements_01" Status="neutral" Values="Adult Consent To Participate Written"/> Prior to starting the survey, participants were provided with a participation information leaflet and to confirm consent. Participants were also made aware that they could leave the survey at any time. After confirming consent, the initial screening questions confirmed participant's eligibility. All participants were informed that by participating in the survey they consented for their data to be used. Forced responses was enforced to ensure no missing data.</Para>
<Para ID="Par24">The target sample size was 300, informed by previous cross-sectional research in 112 UK female athletes (31) and women’s health cross-sectional research in 252 athletes internationally (32).</Para>
<Section2 ID="Sec7">
<Heading>Data analysis</Heading>
<Para ID="Par25">Data were analysed using STATA/SE Version 18 (STATA Corp, 2023). Descriptive and inferential analyses were conducted for the full sample and stratified by pregnancy status (pregnant and postpartum) and athlete level (“Elite” and “Active Non-Elite"). Continuous variables such as age, months postpartum were assessed for normality using the Shapiro-Wilk test. Normally distributed variables were reported as means ± standard deviations (SD) and skewed variables were reported as medians with interquartile ranges (IQR). Categorical variables such as type of nutrition advice were summarised as counts and percentages, with 95% confidence intervals where appropriate. Forced responses were used to ensure no missing data. Chi-square tests were used to assess group differences by athlete level (elite vs. active non-elite) for two outcomes: receiving nutrition advice and whether all nutritional questions and concerns were addressed in pregnancy and postpartum. For these categorical outcomes, chi-square tests were used. McNemar’s tests were then used to evaluate within-participant differences between these two outcomes.</Para>
</Section2>
<Section2 ID="Sec8">
<Heading>Open-ended Data Analysis</Heading>
<Para ID="Par26">Conventional content analysis (33) was used to analyse the open ended responses. First, all open responses were read. Upon re-reading, each response was assigned a code. These codes were then grouped into clusters of related meaning to form categories. Non-coherent or irrelevant responses to the question were not coded during analysis. This was repeated for each open-response question. Frequencies of prominent codes were reported alongside narrative descriptions.</Para>
</Section2>
</Section1>
<Section1 ID="Sec9">
<Heading>Results</Heading>
<Section2 ID="Sec10">
<Heading>Participants</Heading>
<Para ID="Par27" POI="True">The survey was accessed by 604 participants. 317 respondents were not included due to either not completing the survey (n = 295) or not matching the inclusion criteria: identifying sex as male (n = 1), under the age of 18 (n = 1), not currently pregnant or experienced a pregnancy within the last 8 years (n = 9) or residents of countries outside the UK and ROI (n = 11). The final sample consisted of 287 eligible participants. 286 (99.7%) participants identified as a woman and 1 (0.04%) as non-binary. Of these, 126 (44%) classified themselves as elite athletes and 161 (56%) as active non-elite. The mean age of participants was 34.7 years (SD 3.8). Most participants were based in England (77%), with smaller representations from the Republic of Ireland (12%), Wales (4%), Scotland (4%), and Northern Ireland (4%). At the time of survey completion, 30% of participants (n = 87) were pregnant and 70% (n = 200) were postpartum, with a median postpartum duration of 9 months (IQR = 17). Among those pregnant (n = 87; 30%), 19 (22%) were in their first trimester, 29 (29%) in the second, and 43 (49%) in the third. Over half of the participants (n = 161; 56%) had one child, while 55 (19%) were nulliparous, 52 (18%) had two children and 19 (7%) had three or more children <Emphasis Type="Bold">(see</Emphasis> Table <InternalRef RefID="Tab2">2</InternalRef><Emphasis Type="Bold">).</Emphasis></Para>
<Para ID="Par28">
<Table Float="Yes" ID="Tab2">
<Caption Language="En">
<CaptionNumber>Table 2</CaptionNumber>
<CaptionContent>
<SimplePara>Participant Characteristics</SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="4">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<thead>
<row>
<entry align="left" colname="c1"/>
<entry align="left" colname="c2">
<SimplePara>Overall</SimplePara>
<SimplePara>(n = 287)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Tier 3–5: Elite</SimplePara>
<SimplePara>(n = 126)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>Tier 1–2: Active Non-Elite</SimplePara>
<SimplePara>(n = 161)</SimplePara>
</entry>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Age (years), mean (SD)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">34.7 (3.83)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>34.8 (4.16)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>34.5 (3.56)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Country/Region, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>England</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">222 (77.35)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>91 (72.22)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>131 (81.37)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Scotland</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">10 (3.48)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (3.97)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (3.11)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Wales</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">11 (3.83)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>7 (5.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Northern Ireland</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">10 (3.48)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (4.76)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Republic of Ireland</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">34 (11.85)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>17 (13.49)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>17 (10.56)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Education Level, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Secondary school</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">5 (1.74)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Leaving Certificate</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">9 (3.14)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>4 (3.17)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (3.11)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Undergraduate</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">116 (40.42)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>48 (38.10)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>69 (42.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Postgraduate</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">157 (54.70)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>73 (57.94)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>84 (52.17)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Ethnicity, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>White (e.g. English, Scottish, Welsh, Irish)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">260 (90.59)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>119 (94.44)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>142 (87.58)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Asian/Asian British/Asian Irish etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">6 (2.09)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (3.11)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Black/African/Caribbean/Black British etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">5 (1.74)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Mixed/Multiple ethnic groups</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">12 (4.18)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>4 (3.17)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>8 (4.97)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Any other ethnic group</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">4 (1.39)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Employment Status, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Full-time paid work</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">139 (48.43)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>58 (46.03)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>81 (50.31)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Part-time paid work</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">43 (14.98)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>18 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24 (15.53)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>In full-time higher education (college/university)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">4 (1.39)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Unemployed</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">1 (0.35)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Full-time parent</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">10 (3.48)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>7 (5.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Full-time paid athlete</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">6 (2.09)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (4.67)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pregnancy/Maternity Leave</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">84 (29.27)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>35 (27.78)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>49 (30.43)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pregnancy Status</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">Pregnant, n (%)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">87 (30.31)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">38 (30.16)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">49 (30.43)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">First Trimester</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="BoldItalic">19 (21.84)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Italic">6 (15.79)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Italic">13 (26.53)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">Second Trimester</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="BoldItalic">29 (28.74)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Italic">12 (31.58)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Italic">13 (26.53)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">Third Trimester</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="BoldItalic">43 (49.43)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Italic">20 (52.63)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Italic">23 (46.94)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">Postpartum, n (%)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">200 (69.69)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">88 (69.84)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">112 (69.57)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara><Emphasis Type="Italic">Time postpartum (months), median, IQR</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="BoldItalic">9 (17)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Italic">9.5 (18)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Italic">9 (15)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Number of children <Emphasis Type="Italic">n (%)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>0</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">55 (19.16)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>18 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>37 (22.98)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>1</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">161 (56.10)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>69 (54.76)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>92 (57.14)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>2</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">52 (18.12)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>28 (22.22)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24 (14.91)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>3+</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">19 (6.62)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>11 (8.73)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>8 (4.97)</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
</Section2>
<Section2 ID="Sec11">
<Heading>Sport Participation and Training Behaviours during Pregnancy and Postpartum</Heading>
<Para ID="Par29" POI="True">Participants reported engaging in 48 different primary sporting types and activities, including endurance, strength and power-based, and individual and team sports. The majority of participants (n = 243; 85%) reported currently participating in their reported primary sport or activity, while 44 (15%) identified as retired or stopping their primary sport or activity. Among those who had retired, the most cited reasons for retirement were pregnancy (n = 12; 27%), and a desire to pursue other passions (n = 12; 27%) <Emphasis Type="Bold">(see</Emphasis> Table <InternalRef RefID="Tab3">3</InternalRef><Emphasis Type="Bold">).</Emphasis></Para>
<Para ID="Par30">
<Table Float="Yes" ID="Tab3">
<Caption Language="En">
<CaptionNumber>Table 3</CaptionNumber>
<CaptionContent>
<SimplePara>Sporting Characteristics</SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="4">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<thead>
<row>
<entry align="left" colname="c1"/>
<entry align="left" colname="c2">
<SimplePara>Overall</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Tier 3–5: Elite</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>Tier 1–2: Active Non-Elite</SimplePara>
</entry>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Primary Sport, n(%)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">(n = 287)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">(n = 126)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">(n = 161)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Athletics</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>12 (4.18)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>8 (6.35)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Ballet</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Basketball</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Beach Volleyball</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Bouldering</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (1.39)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (1.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Boxing</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Brazilian Jiu Jitsu</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Camogie</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Canoe Slalom</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Cheerleading</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Climbing</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (1.39)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (1.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>CrossFit</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>30 (10.45)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (4.76)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24 (14.91)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Cycling</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>13 (4.53)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (4.76)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>7 (4.35)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Dance</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Dragonboat</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Football</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>5 (1.74)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Gaelic football</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>14 (4.88)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>5 (3.97)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>9 (5.59)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Gymnastics</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>HIIT</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Hockey</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>9 (3.14)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>7 (5.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (1.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Hyrox</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Lacrosse</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Mixed Martial Arts</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Marathon</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>20 (6.97)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>7 (5.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>13 (8.07)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Motorcycle Trials</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Mountain biking</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Muay Thai</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Netball</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (2.79)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>4 (3.17)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (2.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Olympic Weightlifting</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (1.05)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (1.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Para cycling</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Powerlifting</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Roller Derby</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Rowing</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Rugby</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (3.14)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>5 (3.97)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Running</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>79 (27.53)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>24 (19.05)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>55 (34.16)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Strength Training</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (1.05)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (1.24)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Swimming</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>9 (3.14)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (4.76)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Taekwondo</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Tennis</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Triathlon</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>23 (8.01)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>13 (10.32)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>10 (6.21)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Ultimate frisbee</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Ultra Marathon</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Volleyball</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (0.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Walking</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Weightlifting</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>5 (1.74)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (1.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Yoga</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (0.35)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (0.62)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Activity Status, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Active</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">243 (84.67)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>93 (73.81)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>148 (93.08)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Retired</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">44 (15.33)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>33 (26.19)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>11 (6.92)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Retirement Reason, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">12 (27.27)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>10 (30.30)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>COVID</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">2 (4.54)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (6.06)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Decline in Physical Ability</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">4 (9.09)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>3 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Financial Security</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">2 (4.54)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>1 (3.03)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Injury</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">7 (15.90)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>6 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Mental or Emotional Burnout</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">2 (4.54)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (6.06)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pursue a different passion</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">12 (27.27)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>9 (27.27)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (27.27)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Prefer Not to Say</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">2 (4.54)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Other</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">1 (2.27)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
<Para ID="Par31">Athletes reported a variety of training modifications during pregnancy, with reported training behaviours decreasing with each successive trimester <Emphasis Type="Bold">(see Additional file 2).</Emphasis> Qualitative responses revealed that the type of training most altered was cardiovascular or endurance-based (n = 91) activity such as running and cycling, with most reporting reducing intensity (n = 17) and duration (n = 9) of sessions. When reductions in intensity were reported, most athletes avoided high-intensity intervals or activities that elevated heart rate or caused excessive fatigue due to guidance provided by a healthcare professional, anatomical changes in the body or perceived social perception. Additional reasons for reported modifications of training or exercise duration or frequency were to accommodate symptoms such as fatigue or nausea (n = 27). Some described shifting toward strength training with reduced loads or lower-impact movements (n = 47). In addition, athletes reported ceasing or substantially reducing participation in specific activities including contact sports, climbing, and other impact-based exercise (n = 18). Additionally, athletes described additions or adjustments to exercise such as incorporating pelvic floor rehabilitation exercises (n = 32) or avoiding supine movements (n = 9).</Para>
<Para ID="Par32">Among those who were postpartum (n = 200; 70%), 136 (68%) reported resuming training after childbirth, and 76 (87%) of currently pregnant individuals intended to return to training postpartum. The median return-to-sport time was 6 months (IQR = 9), though 54 (30%) had reported that they had not yet returned at the time of the survey. In open-ended responses, athletes reported struggling to return to their previous performance levels postpartum, citing musculoskeletal injury, issues or discomforts (n = 38), fatigue or changes in energy levels (n = 27), reduced fitness and performance capacity (n = 24), or strength or muscle loss (n = 24). Overall, participants highlighted these and other factors as perceived barriers to returning to sport postpartum <Emphasis Type="Bold">(See</Emphasis> Table <InternalRef RefID="Tab4">4</InternalRef><Emphasis Type="Bold">).</Emphasis> Additional responses revealed that many athletes self-managed return to sport performance changes (n = 58), while few reported seeking specialist support (n = 6).</Para>
<Para ID="Par33">
<Table Float="Yes" ID="Tab4">
<Caption Language="En">
<CaptionNumber>Table 4</CaptionNumber>
<CaptionContent>
<SimplePara>Reported Perceived Barriers to Returning to Sport Postpartum</SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="4">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<thead>
<row>
<entry align="left" colname="c1"/>
<entry align="left" colname="c2">
<SimplePara>Overall</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>Tier 3–5: Elite</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>Tier 1–2: Active Non-Elite</SimplePara>
</entry>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Perceived Barriers, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">(n = 287)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">(n = 126)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">(n = 161)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Body Image</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">162 (56.45)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>73 (57.94)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>89 (55.28)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Childcare (i.e. provisions, costs)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">249 (86.76)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>114 (90.48)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>135 (83.85)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Drop in Funding</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">47 (16.38)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>21 (16.67)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>26 (16.15)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Drop in Ranking</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">38 (13.24)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>21 (16.67)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>17 (10.56)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Family Support</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">132 (45.99)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>63 (50.00)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>69 (42.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Finances</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">112 (39.02)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>57 (45.24)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>55 (34.16)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Infant Feeding Practices</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">205 (71.43)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>94 (74.60)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>111 (68.94)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Injury Concerns</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">127 (44.25)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>58 (46.03)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>69 (42.86)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Lack of Energy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">195 (67.94)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>84 (66.67)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>111 (68.94)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pelvic Floor Health</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">192 (66.90)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>86 (68.25)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>106 (65.85)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sleep</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">224 (78.05)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>99 (78.57)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>125 (77.64)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sporting Contracts</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">24 (8.36)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>14 (11.11)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>10 (6.21)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Travel</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">97 (33.80)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>55 (43.65)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>42 (26.09)</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
</Section2>
<Section2 ID="Sec12">
<Heading>Pregnancy and Postpartum Symptoms &amp; current dietary and supplementation adaptations</Heading>
<Para ID="Par34">Participants reported a range of physical and emotional symptoms during pregnancy. Fatigue was the most common, especially in the first trimester (81%), followed by nausea/vomiting (70%), and anxiety about the baby’s health (64%). Other prevalent symptoms included anxiety about delivery, back pain, pelvic discomfort, constipation, mood swings, and heartburn <Emphasis Type="Bold">(See Additional file 3).</Emphasis></Para>
<Para ID="Par35">Primary reasons for supplement use were to improve health (n = 115), preconception/pregnancy health (n = 112), postpartum health (n = 101), recovery (n = 69), and performance (n = 44). When asked about the specific changes participants made to their nutrition during pregnancy, participants (n = 52, 18%) reported in open-ended responses primarily on taking pregnancy-safe supplements (n = 29) with some specifying nutrients such as iron, folic acid and omega-3s, increasing caloric intake (n = 18), avoiding high-risk foods such as unpasteurised cheese and deli meats (n = 11), and reducing or eliminating caffeine (n = 10). These changes were guided by either healthcare professionals or self-directed research. Further changes were often reported as symptom-driven, especially in response to nausea (n = 7), or gastrointestinal issues (n = 3). During the postpartum period, participants who made changes (n = 21) mainly reported improving overall diet to support breastfeeding (n = 9), increasing calories (n = 8) and keeping hydrated (n = 7), and including supplements (n = 8), specifically highlighting iron (n = 2), vitamin D (n = 2) and calcium (n = 1). When reporting changes specific to returning to sport (n = 5), athletes either reported that they took their energy needs for breastfeeding into account in addition to training (n = 2) and ensuring they fueled properly before and after each training session to support performance and recovery (n = 3).</Para>
</Section2>
<Section2 ID="Sec13">
<Heading>Pregnancy and Postpartum Nutrition current support and athlete wants</Heading>
<Para ID="Par36">Only 21.6% (n = 62) of participants reported receiving any nutrition advice during pregnancy. This was consistent across athlete tiers, with slightly higher proportions among elite athletes (n = 29; 23%) than active non-elite athletes (n = 33; 21%), though this difference was not significant (χ²(1, n = 287) = 0.26, p = 0.61). Based on the proportion that did receive advice, most advice received related to pregnancy supplement intake (n = 55; 89%) and general healthy eating (n = 54; 87%). However, athletes expressed a preference for more specific guidance tailored to their dual needs as pregnant individuals and as athletes. Specifically, many wanted advice on athlete-specific nutrition during pregnancy (n = 228; 79%) or sport supplements to take during pregnancy (n = 151; 53%). These patterns were consistent across elite and non-elite subgroups. Of those that did receive advice, sources and formats of advice varied NHS or public healthcare professionals (including Midwife, Obstetrician and GP) (n = 44; 77%) and the internet (n = 32; 52%) were cited as the most common sources in the format of private consultations (n = 37; 60%), information sheets (n = 28; 45%) and online searches (n = 30; 49%). Athletes reported preferring more information from either sporting/team registered nutritionists and dietitians (n = 134; 47%), any registered nutritionists and dietitians (n = 100; 35%) or sporting organisations (n = 102; 36%) and <Emphasis Type="Bold">(See</Emphasis> Table <InternalRef RefID="Tab5">5</InternalRef><Emphasis Type="Bold">).</Emphasis> Participants who reported receiving nutrition advice were significantly less likely to indicate that all their nutrition information needs were met during pregnancy (McNemar’s χ²(1, N = 287) = 9.24, p = 0.002; OR = 0.68, 95% CI [0.53, 0.87]).</Para>
<Para ID="Par37">
<Table Float="Yes" ID="Tab5">
<Caption Language="En">
<CaptionNumber>Table 5</CaptionNumber>
<CaptionContent>
<SimplePara>Types, Sources, and Formats of Nutrition Advice Received and Preferred During Pregnancy</SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="8">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<colspec align="left" colname="c5" colnum="5"/>
<colspec align="left" colname="c6" colnum="6"/>
<colspec align="left" colname="c7" colnum="7"/>
<colspec align="left" colname="c8" colnum="8"/>
<thead>
<row>
<entry align="left" colname="c1"/>
<entry align="left" nameend="c3" namest="c2">
<SimplePara>Overall</SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>Tier 3–5: Elite</SimplePara>
</entry>
<entry align="left" nameend="c7" namest="c6">
<SimplePara>Tier 1–2: Active Non-Elite</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Received nutrition support, n (%)</SimplePara>
</entry>
<entry align="left" nameend="c3" namest="c2">
<SimplePara><Emphasis Type="Bold">62 (21.60)</Emphasis></SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>29 (23.02)</SimplePara>
</entry>
<entry align="left" nameend="c7" namest="c6">
<SimplePara>33 (20.49)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Type of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 62)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 287)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 29)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 126)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 33)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 161)</Emphasis></SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>General Healthy Eating Advice</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>54 (87.10)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>196 (68.29)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>24 (82.76)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>40 (31.75)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>30 (90.91)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>56 (34.8)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Specific Nutrition Advice for Athletes during Pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>11 (17.74)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>228 (79.44)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (13.79)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>104 (82.54)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>7 (21.21)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>124 (77.02)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Symptom Management</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>21 (33.87)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>131 (46.64)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>7 (24.14)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>62 (49.21)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>14 (42.42)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>69 (42.86)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Pregnancy Supplement Intake</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>55 (88.71)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>155 (54.01)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>26 (89.66)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>68 (53.97)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>29 (87.88)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>87 (54.04)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sport Supplement Intake</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (12.90)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>151 (52.61)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (10.34)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>64 (50.79)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (15.15)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>87 (54.04)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Specific Meal Composition/Quantities</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (6.45)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>89 (31.01)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (3.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>37 (29.37)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>3 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>52 (32.30)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fluid Intake and Hydration</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>28 (45.16)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>103 (35.89)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>12 (41.38)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>41 (32.54)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>16 (48.48)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>62 (38.51)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Body Image</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>6 (19.68)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>100 (34.84)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (3.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>41 (32.54)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (15.15)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>59 (36.65)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Relationship with Food</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (4.84)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>79 (27.53)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (3.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>32 (25.40)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (6.06)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>47 (29.19)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Source of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5"/>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7"/>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sporting Organisation/National Governing Body</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (1.61)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>102 (35.54)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (3.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>45 (35.71)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>57 (35.40)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sports or Team Nutritionist/Registered Dietitian</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>7 (11.29)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>134 (46.69)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (17.24)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>59 (46.83)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (6.06)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>75 (46.58)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Any other Nutritionist/Registered Dietitian</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>9 (14.52)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>100 (34.84)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (10.34)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>40 (31.75)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>6 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>60 (37.27)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sports or Team Coach, Trainer, Physician, Physiotherapist or Performance Lifestyle Advisors</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>6 (9.68)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>98 (34.14)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (3.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>40 (31.75)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (15.15)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>58 (36.02)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Any other Coach, Trainer, Physician, Physiotherapist or Performance Lifestyle Advisors</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>6 (9.68)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>50 (17.42)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (10.34)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>14 (11.11)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>3 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>36 (22.36)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Private Midwife, Obstetrician or GP</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>10 (16.13)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>51 (17.77)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>6 (20.69)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>24 (19.05)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>4 (12.12)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>27 (16.77)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>NHS or Public Midwife, Obstetrician or GP</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>48 (77.42)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>178 (62.02)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>22 (75.86)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>65 (51.59)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>26 (78.79)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>113 (70.19)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fellow athlete who has experienced a pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>21 (33.87)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>147 (51.22)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>10 (34.48)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>63 (50.00)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>11 (33.33)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>84 (52.17)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fellow athlete who hasn’t experienced a pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>2 (0.70)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>2 (1.24)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Family/Spouse/Partner/Friends</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>17 (27.42)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>37 (12.89)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>9 (31.03)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>13 (10.32)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>8 (24.24)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>24 (14.91)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Internet (e.g. search engines, websites, blogs, news articles, webinar etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>32 (51.61)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>94 (32.75)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>12 (41.38)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>36 (28.57)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>20 (60.61)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>58 (36.02)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Social Media (e.g. Instagram, Twitter, Facebook etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>9 (14.52)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>43 (14.98)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (13.79)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>18 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (15.15)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>25 (15.53)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Format of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5"/>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7"/>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Private Consultation</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>37 (59.68)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>165 (57.49)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>21 (72.41)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>75 (69.52)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>16 (48.48)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>90 (55.90)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Information Sheet/Brochure</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>28 (45.16)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>169 (58.89)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>13 (44.83)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>74 (58.73)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>15 (45.45)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>95 (59.01)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Lesson/Class/Webinar</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (4.84)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>104 (36.24)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (10.34)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>48 (38.10)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (3.03)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>56 (34.78)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Presentation/Workshop</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (6.45)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>36 (12.54)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (6.90)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>17 (13.49)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (6.06)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>19 (11.80)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Team Meeting/Briefing</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (12.90)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>135 (47.04)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (6.90)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>53 (42.06)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (15.15)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>82 (50.93)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Online/Internet (e.g. search engines, websites, blogs, news articles, webinars, social media posts etc.)</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>30 (48.39)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>149 (51.92)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>12 (41.38)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>54 (42.86)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>18 (55.55)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>95 (59.01)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>No Alternative Preference</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3">
<SimplePara>10 (3.48)</SimplePara>
</entry>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5">
<SimplePara>2 (1.59)</SimplePara>
</entry>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7">
<SimplePara>8 (4.97)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c8"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>All Questions/Concerns Answered, n (%)</SimplePara>
</entry>
<entry align="left" nameend="c3" namest="c2">
<SimplePara><Emphasis Type="Bold">91 (31.70)</Emphasis></SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>41 (32.54)</SimplePara>
</entry>
<entry align="left" nameend="c8" namest="c6">
<SimplePara>50 (31.06)</SimplePara>
</entry>
</row>
<row>
<entry align="left" nameend="c8" namest="c1">
<SimplePara>There were no significant differences between athlete levels in participants who received nutrition advice (p = 0.61) or difference between athlete levels in participants with all questions and concerns answered (p = 0.80).</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
<Para ID="Par38">During postpartum, 10.8% (n = 25) received nutrition advice, with no significant difference between athlete levels (χ²(1, n = 231) = 0.11, p = 0.81). Most advice focused on breastfeeding and mixed feeding (n = 20; 80%) and general healthy eating (n = 13; 52%). However, in addition to these, athletes reported that they wanted specific nutrition advice for athletes during postpartum (n = 146; 63%), return to sport (n = 182; 79%), postpartum (n = 146; 65%), sport supplement intake (n = 117; 51%), injury prevention (n = 131; 57%) and body image support (n = 96, 42%). These preferences were consistent across athlete tiers. Similar to the findings in pregnancy, most participants reported receiving information from an NHS or public healthcare professional (including Midwife, Obstetrician and GP) (n = 10; 40%) or from the internet (n = 10; 40%) in the format of private consultations (n = 15; 60%), information sheets (n = 8; 32%) and online searches (n = 13; 52%). Preferences again indicated a desire for more support from sporting/team registered nutritionists and dietitians (n = 116; 50%) or any registered nutritionists and dietitians (n = 120; 52%) <Emphasis Type="Bold">(see</Emphasis> Table <InternalRef RefID="Tab6">6</InternalRef><Emphasis Type="Bold">).</Emphasis> Participants who reported receiving postpartum nutrition advice were not significantly likely to indicate that all their postpartum nutrition information needs were met (McNemar’s χ²(1, N = 199) = 0.04, p = 0.84; OR = 0.92, 95% CI [0.38, 2.19]), indicating alignment between receiving advice and perceived adequacy of information during the postpartum period.</Para>
<Para ID="Par39">
<Table Float="Yes" ID="Tab6">
<Caption Language="En">
<CaptionNumber>Table 6</CaptionNumber>
<CaptionContent>
<SimplePara>Types, Sources, and Formats of Nutrition Advice Received and Preferred During Postpartum.</SimplePara>
</CaptionContent>
</Caption>
<tgroup cols="7">
<colspec align="left" colname="c1" colnum="1"/>
<colspec align="left" colname="c2" colnum="2"/>
<colspec align="left" colname="c3" colnum="3"/>
<colspec align="left" colname="c4" colnum="4"/>
<colspec align="left" colname="c5" colnum="5"/>
<colspec align="left" colname="c6" colnum="6"/>
<colspec align="left" colname="c7" colnum="7"/>
<thead>
<row>
<entry align="left" colname="c1"/>
<entry align="left" nameend="c3" namest="c2">
<SimplePara>Overall</SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>Tier 3–5: Elite</SimplePara>
</entry>
<entry align="left" nameend="c7" namest="c6">
<SimplePara>Tier 1–2: Active Non-Elite</SimplePara>
</entry>
</row>
</thead>
<tbody>
<row>
<entry align="left" colname="c1">
<SimplePara>Received nutrition support, n (%)</SimplePara>
</entry>
<entry align="left" nameend="c3" namest="c2">
<SimplePara>25 (10.8)</SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>11 (10.28)</SimplePara>
</entry>
<entry align="left" nameend="c7" namest="c6">
<SimplePara>14 (11.3)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Type of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 25)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 231)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 11)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 107)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara><Emphasis Type="Bold">Received</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 14)</Emphasis></SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara><Emphasis Type="Bold">Preferred</Emphasis></SimplePara>
<SimplePara><Emphasis Type="Bold">(n = 124)</Emphasis></SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>General Healthy Eating Advice</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>13 (52.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>105 (45.45)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>6 (54.55)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>44 (41.12)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>7 (50.00)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>61 (49.49)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Specific Nutrition Advice for Athletes during Postpartum</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (12.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>146 (63.20)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (27.27)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>65 (60.75)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>81 (65.32)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Specific Nutrition Advice for Athletes during Returning to Sport</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>5 (20.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>182 (78.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (27.27)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>90 (84.11)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>92 (74.19)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sport Supplement Intake</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (8.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>117 (50.65)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>63 (58.88)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (7.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>54 (43.55)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Postpartum Supplement Intake</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>9 (36.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>149 (64.50)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (27.27)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>74 (69.16)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>6 (42.86)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>75 (60.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Specific Meal Composition/Quantities</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (16.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>71 (30.74)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>30 (28.04)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>41 (33.06)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Breastfeeding/Mixed Feeding</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>20 (80.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>170 (73.59)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>7 (64.64)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>79 (73.83)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>13 (92.86)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>91 (73.39)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Injury Prevention</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (8.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>131 (56.71)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>64 (659.81)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>67 (54.03)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fluid Intake and Hydration</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (32.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>77 (33.33)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (36.36)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>27 (25.23)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>4 (28.57)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>50 (40.32)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Body Image</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (12.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>96 (41.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>44 (41.12)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>52 (41.94)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Relationship with Food</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (8.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>65 (28.14)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>36 (33.64)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (7.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>29 (23.39)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Source of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5"/>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sporting Organisation/National Governing Body</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (8.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>102 (44.16)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>54 (50.47)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>48 (38.71)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sports or Team Nutritionist/Registered Dietitian</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>6 (24.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>116 (50.22)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (45.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>60 (56.07)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (7.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>56 (45.16)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Any other Nutritionist/Registered Dietitian</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>4 (16.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>120 (51.95)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>52 (48.60)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>3 (21.43)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>68 (54.84)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Sports or Team Coach, Trainer, Physician, Physiotherapist or Performance Lifestyle Advisors</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (16.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>84 (36.36)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>40 (37.38)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>44 (35.48)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Any other Coach, Trainer, Physician, Physiotherapist or Performance Lifestyle Advisors</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (12.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>66 (298.57)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>26 (24.30)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>3 (21.43)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>40 (32.26)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Private Midwife, Obstetrician or GP</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>2 (8.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>66 (28.57)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>34 (31.78)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (7.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>32 (25.81)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>NHS or Public Midwife, Obstetrician or GP</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>10 (40.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>147 (63.64)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (36.36)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>63 (58.88)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>6 (42.86)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>84 (67.76)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fellow athlete who has experienced a pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>6 (24.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>107 (46.32)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>3 (27.27)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>49 (45.79)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>3 (21.43)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>58 (46.77)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Fellow athlete who hasn’t experienced a pregnancy</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (4.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>7 (3.03)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>3 (2.80)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>4 (3.23)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Family/Spouse/Partner/Friends</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>3 (12.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>23 (9.96)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>7 (6.54)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>16 (12.90)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Internet (e.g. search engines, websites, blogs, news articles, webinar etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>10 (40.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>96 (41.56)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>35 (32.71)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>8 (57.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>61 (49.19)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Social Media (e.g. Instagram, Twitter, Facebook etc.)</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>4 (16.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>48 (20.78)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>21 (219.63)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>4 (28.57)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>27 (21.77)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Format of Nutrition advice, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3"/>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5"/>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7"/>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Private Consultation</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>15 (60.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>32 (13.85)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>7 (63.64)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>21 (19.63)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>6 (42.86)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>11 (8.87)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Information Sheet/Brochure</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>8 (32.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>18 (7.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>4 (36.36)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>9 (8.41)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (35.71)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>9 (7.26)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Lesson/Class/Webinar</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>6 (24.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>154 (66.67)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>2 (18.18)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>73 (68.22)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>1 (7.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>81 (65.32)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Presentation/Workshop</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (4.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>18 (7.79)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>11 (10.28)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>2 (14.29)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>7 (5.65)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Team Meeting/Briefing</SimplePara>
</entry>
<entry align="left" colname="c2">
<SimplePara>1 (4.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>136 (58.87)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>1 (9.09)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>66 (61.68)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>5 (35.71)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>70 (56.45)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>Online/Internet (e.g. search engines, websites, blogs, news articles, webinars, social media posts etc.)</SimplePara> </entry>
<entry align="left" colname="c2">
<SimplePara>13 (52.00)</SimplePara>
</entry>
<entry align="left" colname="c3">
<SimplePara>102 (44.16)</SimplePara>
</entry>
<entry align="left" colname="c4">
<SimplePara>5 (45.45)</SimplePara>
</entry>
<entry align="left" colname="c5">
<SimplePara>47 (43.93)</SimplePara>
</entry>
<entry align="left" colname="c6">
<SimplePara>8 (57.14)</SimplePara>
</entry>
<entry align="left" colname="c7">
<SimplePara>55 (44.35)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>No Alternative Preference, n (%)</SimplePara>
</entry>
<entry align="left" colname="c2"/>
<entry align="left" colname="c3">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c4"/>
<entry align="left" colname="c5">
<SimplePara>0 (0)</SimplePara>
</entry>
<entry align="left" colname="c6"/>
<entry align="left" colname="c7">
<SimplePara>0 (0)</SimplePara>
</entry>
</row>
<row>
<entry align="left" colname="c1">
<SimplePara>All Questions or Concerns Answered, n (%)</SimplePara>
</entry>
<entry align="left" nameend="c3" namest="c2">
<SimplePara><Emphasis Type="Bold">26 (11.26)</Emphasis></SimplePara>
</entry>
<entry align="left" nameend="c5" namest="c4">
<SimplePara>11 (10.28)</SimplePara>
</entry>
<entry align="left" nameend="c7" namest="c6">
<SimplePara>15 (12.10)</SimplePara>
</entry>
</row>
<row>
<entry align="left" nameend="c7" namest="c1">
<SimplePara>There were no significant difference between athlete levels in participants who received nutrition advice (p = 0.81) or difference between athlete levels in participants with all questions and concerns answered (p = 0.83).</SimplePara>
</entry>
</row>
</tbody>
</tgroup>
</Table>
</Para>
</Section2>
</Section1>
<Section1 ID="Sec14">
<Heading>Discussion</Heading>
<Para ID="Par40">This study highlights significant gaps in existing nutritional support for elite and non-elite female athletes in the UK and ROI. Fewer than one in four athletes received advice during pregnancy and only approximately one in ten postpartum. When advice was provided, it centred primarily on general population guidance such as general healthy eating and routine supplementation. While this information is necessary, it does not meet the needs of athletes who continue to train during pregnancy or plan to return to exercise and sport postpartum. Athletes in this study consistently expressed a desire for advice that acknowledged the dual demands of pregnancy and sport, including fuelling strategies to maintain training where appropriate, managing breastfeeding-related energy requirements and making informed sport-supplement decisions. The absence of such tailored guidance is particularly notable in elite environments, where broader pregnancy and maternity policies now exist in several national governing bodies, yet nutrition-specific direction remains limited (14–20). A recent narrative review (15) on return-to-play protocols for postpartum female footballers highlighted that while breastfeeding is highly energy-demanding, it is not negatively affected by moderate to vigorous exercise when caloric needs are met and appropriate nutritional support is in place, further underscoring the need to understand and integrate sport-specific postpartum nutrition pathways. This gap is clinically relevant given the well-established risks associated with low energy availability and Relative Energy Deficiency in Sport (REDs) among female athletes, which may be heightened during pregnancy and postpartum when energy demands fluctuate significantly. Emerging evidence also suggests that a history of low energy availability and REDs may be linked to adverse perinatal outcomes, underscoring the need for proactive, continuity of support for athletes as they move through pregnancy, postpartum recovery, and into subsequent pregnancies (34).</Para>
<Para ID="Par41"><Annotation Category="SREP" ID="9" RuleID="IdentifyCAMTerms_01" Status="attended" Values="holistic"/>Success in sport, as well as transition out of it, rely on a holistic approach to athlete development that integrates lifestyle practices, performance strategies, psychological skills, education and supportive social relationships (35). Female athletes are particularly vulnerable to low energy availability, micronutrient deficiencies, body image expectations and psychological stress, due in part to performance pressures and limited access to female-specific coaching and medical expertise (36). These vulnerabilities can become more pronounced during major life transitions such as pregnancy and postpartum, when physiological, sociocultural and identity-related demands increase (3, 12). Our findings show that the low level of nutrition support observed was similar among elite and non-elite athletes, indicating that inadequate provision is systemic rather than resource dependent. This suggests that the issue is not solely a matter of access to performance environments but instead reflects broader infrastructure and knowledge gaps across both sport and healthcare systems.</Para>
<Para ID="Par42">Existing evidence shows that nutrition education in medical, midwifery and allied health training is often minimal, variable and insufficient to equip practitioners to provide personalised nutrition care (37). Similarly, sport and exercise science and coaching qualifications have historically lacked structured content on the female athlete (38), especially pregnancy, postpartum recovery or breastfeeding-related fuelling (39). Although specialised courses and initiatives are beginning to emerge in some sport systems, particularly in response to concerns around REDs and women’s health in high-performance contexts, their integration into routine training pathways remains limited (40). As a result, healthcare and sport practitioners may be uncertain in supporting athletes during pregnancy and early postpartum, leaving athletes to seek advice independently or self-manage their nutrition needs.</Para>
<Para ID="Par43">In this study, athletes most often received guidance from general healthcare providers such as midwives, GPs and obstetricians, professionals who play essential roles in pregnancy care but may not be equipped to offer sport-specific nutrition advice. In contrast, athletes expressed a clear preference for receiving support from registered sport nutritionist and dietitians or sport organisations, reflecting a belief that these sources hold the contextual knowledge required to address the demands of training and competition. Supplement use is widespread in elite sport to help maintain micronutrient status and support performance (41, 42). In this study, many participants continued to use supplements during and after pregnancy, but highlighted the need for clearer, pregnancy-safe, sport-specific guidance to ensure appropriate and compliant use. Strengthening collaboration between maternity services, primary care and sport performance systems may therefore be critical to improving support, especially within the elite context where demands are increased. Further research into specific referral pathways and knowledge translation of fueling among both practitioners and athletes in each context is warranted.</Para>
<Para ID="Par44">Implications for performance and return to sport are notable. Most athletes in this study reported modifying their training during pregnancy, often reducing intensity or shifting toward lower-impact or strength-based activities. While these adjustments are appropriate in response to physiological changes, symptoms or personal comfort, they alter energy requirements and recovery needs. Nutrition is a modifiable factor that can influence energy restoration, tissue recovery and training adaptation (43). Yet, without guidance that accounts for varying metabolic demands, breastfeeding status, sleep disruption and staged return-to-play progression, athletes are left to navigate these challenges alone. Improving access to dynamic athlete-specific nutrition support may therefore not only benefit maternal health but also contribute to a safer return to exercise and sport.</Para>
<Para ID="Par45"><Annotation Category="Information" ID="10" RuleID="IdentifyEthicsStatements_01" Status="neutral" Values="Human Accordance Statement"/> These findings underscore the consideration to embed pregnancy and postpartum-specific nutrition content into medical, sport science and performance nutrition education, alongside the development of practical, evidence-based guidelines and resources tailored to athletic populations. Embedding this knowledge within existing education and continuing professional development offers feasible opportunities to improve support, while reducing reliance on athletes to self-manage nutritional demands.</Para>
<Section2 ID="Sec15">
<Heading>Strengths and Limitations</Heading>
<Para ID="Par46">This study has several strengths. Notably, it is the first large-scale investigation in the UK, ROI and globally to examine the supports, wants and needs as it relates to nutrition for elite and recreational athletes during pregnancy and/or postpartum. It targeted elite and recreational athletes, a group often overlooked in pregnancy and exercise research (7). As our study explored both pregnancy and postpartum, it offers a more complete picture of the athletes’ experiences. As with all retrospective designs, this study has limitations that must be acknowledged. First is recall bias, participants' experiences of pregnancy and postpartum may be inaccurate or incomplete. Due to the exploratory nature of the study, a sample size calculation is not applicable. Generalisability may be limited by the non-probability sampling, therefore the representativeness of all female athletes cannot be assumed (31, 32). Furthermore, while a broad range of athletes across calibres, representing a large number of sports was achieved, it is worth noting that the sample was highly educated and of a white ethnic background. Although support and advice was extremely limited within this sample, future research should include those from diverse ethnic and educational backgrounds to assess whether there were further gaps or barriers for this group.</Para>
</Section2>
</Section1>
<Section1 ID="Sec16">
<Heading>Conclusion</Heading>
<Para ID="Par47">This research highlights the lack of nutrition advice being provided to athletes during pregnancy and postpartum. Elite and non-elite athletes reported similar experiences, suggesting that the absence of tailored nutrition support reflects broader system-level gaps in practitioner training, resource availability and care pathways, rather than differences in individual athletic ability or organisation-level provision. Despite this, athletes expressed a need for guidance that addresses the demands of both pregnancy and athletic participation, including fuelling for modified training demands, managing breastfeeding-related energy requirements and making informed supplementation decisions. Additional research is needed to understand if and how pregnancy and postpartum-specific nutrition education can be effectively integrated into medical, midwifery, sport science and performance nutrition curriculum, and how clear referral pathways between maternity care and sport performance environments can be established, especially at the elite level. <Annotation Category="Information" ID="11" RuleID="IdentifyEthicsStatements_01" Status="neutral" Values="Human Accordance Statement"/> Developing evidence-based, athlete-centred guidelines has the potential to enhance health, facilitate safer and more sustainable return to exercise and sport and help retain females in sport during and after pregnancy.</Para>
</Section1>
</Body>

<ArticleBackmatter>
<AbbreviationGroup>
<Heading>Abbreviations</Heading>
<DefinitionList>
<DefinitionListEntry>
<Term>UK</Term>
<Description>
<Para ID="Par48">United Kingdom</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>ROI</Term>
<Description>
<Para ID="Par49">Republic of Ireland</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>STROBE</Term>
<Description>
<Para ID="Par50">Strengthening the Reporting of Observational Studies in Epidemiology</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>AN</Term>
<Description>
<Para ID="Par51">Alexandra Newman</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>AR</Term>
<Description>
<Para ID="Par52">Andri Rauber</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>IQR</Term>
<Description>
<Para ID="Par53">Interquartile Range</Para>
</Description>
</DefinitionListEntry>
<DefinitionListEntry>
<Term>REDs</Term>
<Description>
<Para ID="Par54">Relatively Energy Deficiency in Sport</Para>
</Description>
</DefinitionListEntry>
</DefinitionList>
</AbbreviationGroup>
<Ethics>
<Heading>Declarations</Heading>
<FormalPara ID="FPar1" RenderingStyle="Style1">
<Heading>Ethics approval</Heading>
<Para ID="Par55">This study was approved by King’s College London’s ethics committee <Emphasis Type="Bold">{</Emphasis>Ref No: LRU/DP-23/24-41676} and conducted in line with the guidance given in the Declaration of Helsinki.</Para>
</FormalPara>
</Ethics>
<Ethics>
<Heading>
<Emphasis Type="Bold">Consent</Emphasis>
</Heading>
<FormalPara ID="FPar2" RenderingStyle="Style1">
<Heading>Informed consent</Heading>
<Para ID="Par56">was obtained from all individual participants included in the study.</Para>
</FormalPara>
</Ethics>
<DataAvailability><Annotation ID="12" RuleID="GoldenMetadataIdentified_01" Status="Neutral"/><Heading>Data Availability</Heading><SimplePara>The participants of this study did not give written consent for their data to be shared publicly, so due to the sensitive nature of the research supporting data is not available.</SimplePara></DataAvailability>
<Ethics>
<FormalPara ID="FPar3" RenderingStyle="Style1">
<Heading>Competing interests</Heading>
<Para ID="Par57">The authors have no financial or non-financial interests to declare.</Para>
</FormalPara>
</Ethics>
<FundingInformation><Annotation Category="Completeness" ID="13" RuleID="IdentifyFundingInformationInArticle_01" Status="Neutral"/>
<Heading>Funding</Heading>
<SimplePara>This work was supported by the King’s Together Fund (King’s College London)</SimplePara>
</FundingInformation>
<AuthorContribution><Annotation ID="14" RuleID="GoldenMetadataIdentified_01" Status="Neutral"/><Annotation Category="Completeness" ID="15" RuleID="AuthorContributionPresent_02" Status="ignored" Values="IrelandCatherine V. George"/><Heading>Author Contribution</Heading><SimplePara>Conceptualisation: FL ACF, CVG, ZB, MR; Funding Acquisition: FL, ACF, ZB, MR, PK, LE, AN, AR; Data curation: FL, CVG, ZB; Methodology: FL, ACF, ZB, MR, CVG, AN, AR, PK, LE; Investigation: FL, CVG, ZB, MR, EB; Project Administration: FL; Supervision: FL, ZB, ACF; Formal Analysis: CVG, FL, ACF; Writing – Original Draft preparation: CVG; Writing – Review &amp; Editing: All authors.</SimplePara></AuthorContribution>
<Ethics>
<FormalPara ID="FPar4" RenderingStyle="Style1">
<Heading>Authors Information</Heading>
<Para ID="Par58">Catherine V. George: 0009-0006-5306-8414</Para>
<Para ID="Par59">Zoë Bell: 0000-0003-2416-4184</Para>
<Para ID="Par60">Michèle Renard: 0000-0003-4517-1316</Para>
<Para ID="Par61">Paulina Kloskowska: 0000-0002-2975-993X</Para>
<Para ID="Par62">Angela C. Flynn: 0000-0001-8438-1506</Para>
<Para ID="Par63">Fiona Lavelle: 0000-0002-1211-0261</Para>
</FormalPara>
</Ethics>
<Appendix ID="App1" OutputMedium="Online">
<Section1 ID="Sec17">
<Heading>Electronic Supplementary Material</Heading>
<Para ID="Par64">Below is the link to the electronic supplementary material</Para>
<Para ID="Par65">
<MediaObject ID="MOESM1">
<DataObject FileRef="Additional file 3.docx">
<Caption Language="En">
<CaptionContent>
<SimplePara>Supplementary Material 1</SimplePara>
</CaptionContent>
</Caption>
</DataObject>
</MediaObject>
</Para>
<Para ID="Par66">
<MediaObject ID="MOESM2">
<DataObject FileRef="Additional file 1.docx">
<Caption Language="En">
<CaptionContent>
<SimplePara>Supplementary Material 2</SimplePara>
</CaptionContent>
</Caption>
</DataObject>
</MediaObject>
</Para>
<Para ID="Par67">
<MediaObject ID="MOESM3">
<DataObject FileRef="Additional file 2.docx">
<Caption Language="En">
<CaptionContent>
<SimplePara>Supplementary Material 3</SimplePara>
</CaptionContent>
</Caption>
</DataObject>
</MediaObject>
</Para>
</Section1>
</Appendix>
<Bibliography ID="Bib1">
<Heading>References</Heading>
<Citation ID="CR1">
<BibUnstructured>1. McGannon KR, Busanich R. Athletes and motherhood. Routledge international handbook of sport psychology: Routledge; 2016. p. 286 − 95.</BibUnstructured>
<!--<BibSource>1. McGannon KR, Busanich R. Athletes and motherhood. Routledge international handbook of sport psychology: Routledge; 2016. p. 286&#x2009;&#x2212;&#x2009;95.</BibSource>-->
</Citation>
<Citation ID="CR2">
<BibUnstructured>2. McGannon KR, McMahon J, Gonsalves CA. Juggling motherhood and sport: A qualitative study of the negotiation of competitive recreational athlete mother identities. Psychology of Sport and Exercise. 2018;36:41 − 9.</BibUnstructured>
<!--<BibSource>2. McGannon KR, McMahon J, Gonsalves CA. Juggling motherhood and sport: A qualitative study of the negotiation of competitive recreational athlete mother identities. Psychology of Sport and Exercise. 2018;36:41&#x2009;&#x2212;&#x2009;9.</BibSource>-->
</Citation>
<Citation ID="CR3">
<BibUnstructured>3. Titova J, Davenport MH, Humphrys A, Hayman M. Barriers and enablers encountered by elite athletes during preconception and pregnancy: a mixed-methods systematic review. British Journal of Sports Medicine. 2024:bjsports-2024-108380.</BibUnstructured>
<!--<BibSource>3. Titova J, Davenport MH, Humphrys A, Hayman M. Barriers and enablers encountered by elite athletes during preconception and pregnancy: a mixed-methods systematic review. British Journal of Sports Medicine. 2024:bjsports-2024-108380.</BibSource>-->
</Citation>
<Citation ID="CR4">
<BibUnstructured>4. Marshall NE, Abrams B, Barbour LA, Catalano P, Christian P, Friedman JE, et al. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol. 2022;226(5):607 − 32.</BibUnstructured>
<!--<BibSource>4. Marshall NE, Abrams B, Barbour LA, Catalano P, Christian P, Friedman JE, et al. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol. 2022;226(5):607&#x2009;&#x2212;&#x2009;32.</BibSource>-->
</Citation>
<Citation ID="CR5">
<BibUnstructured>5. Maternal and child nutrition: nutrition and weight management in pregnancy, and nutrition in children up to 5 years National Institute for Health and Care Excellence2025 [NG247:[Available from: https://www.nice.org.uk/guidance/ng247.</BibUnstructured>
<!--<BibSource>5. Maternal and child nutrition: nutrition and weight management in pregnancy, and nutrition in children up to 5 years National Institute for Health and Care Excellence2025 [NG247:[Available from: https://www.nice.org.uk/guidance/ng247.</BibSource>-->
</Citation>
<Citation ID="CR6">
<BibUnstructured>6. Healthy eating during pregnancy Health Service Executive2025 [Available from: https://www2.hse.ie/pregnancy-birth/keeping-well/food-drink/healthy-eating/.</BibUnstructured>
<!--<BibSource>6. Healthy eating during pregnancy Health Service Executive2025 [Available from: https://www2.hse.ie/pregnancy-birth/keeping-well/food-drink/healthy-eating/.</BibSource>-->
</Citation>
<Citation ID="CR7">
<BibUnstructured>7. Holtzman B, Ackerman KE. Recommendations and Nutritional Considerations for Female Athletes: Health and Performance. Sports Medicine. 2021;51(1):43–57.</BibUnstructured>
<!--<BibSource>7. Holtzman B, Ackerman KE. Recommendations and Nutritional Considerations for Female Athletes: Health and Performance. Sports Medicine. 2021;51(1):43&#x2013;57.</BibSource>-->
</Citation>
<Citation ID="CR8">
<BibUnstructured>8. King JC. Physiology of pregnancy and nutrient metabolism. The American Journal of Clinical Nutrition. 2000;71(5):1218S-25S.</BibUnstructured>
<!--<BibSource>8. King JC. Physiology of pregnancy and nutrient metabolism. The American Journal of Clinical Nutrition. 2000;71(5):1218S-25S.</BibSource>-->
</Citation>
<Citation ID="CR9">
<BibUnstructured>9. Butte NF, Wong WW, Treuth MS, Ellis KJ, O'Brian Smith E. Energy requirements during pregnancy based on total energy expenditure and energy deposition. Am J Clin Nutr. 2004;79(6):1078-87.</BibUnstructured>
<!--<BibSource>9. Butte NF, Wong WW, Treuth MS, Ellis KJ, O'Brian Smith E. Energy requirements during pregnancy based on total energy expenditure and energy deposition. Am J Clin Nutr. 2004;79(6):1078-87.</BibSource>-->
</Citation>
<Citation ID="CR10">
<BibUnstructured>10. Jagim AR, Fields J, Magee MK, Kerksick CM, Jones MT. Contributing Factors to Low Energy Availability in Female Athletes: A Narrative Review of Energy Availability, Training Demands, Nutrition Barriers, Body Image, and Disordered Eating. Nutrients. 2022;14(5).</BibUnstructured>
<!--<BibSource>10. Jagim AR, Fields J, Magee MK, Kerksick CM, Jones MT. Contributing Factors to Low Energy Availability in Female Athletes: A Narrative Review of Energy Availability, Training Demands, Nutrition Barriers, Body Image, and Disordered Eating. Nutrients. 2022;14(5).</BibSource>-->
</Citation>
<Citation ID="CR11">
<BibUnstructured>11. Davenport MH, Meah VL, Ruchat SM, Davies GA, Skow RJ, Barrowman N, et al. Impact of prenatal exercise on neonatal and childhood outcomes: a systematic review and meta-analysis. Br J Sports Med. 2018;52(21):1386-96.</BibUnstructured>
<!--<BibSource>11. Davenport MH, Meah VL, Ruchat SM, Davies GA, Skow RJ, Barrowman N, et al. Impact of prenatal exercise on neonatal and childhood outcomes: a systematic review and meta-analysis. Br J Sports Med. 2018;52(21):1386-96.</BibSource>-->
</Citation>
<Citation ID="CR12">
<BibUnstructured>12. Tighe BJ, Williams SL, Porter C, Hayman M. Barriers and enablers influencing female athlete return-to-sport postpartum: a scoping review. Br J Sports Med. 2023;57(22):1450-6.</BibUnstructured>
<!--<BibSource>12. Tighe BJ, Williams SL, Porter C, Hayman M. Barriers and enablers influencing female athlete return-to-sport postpartum: a scoping review. Br J Sports Med. 2023;57(22):1450-6.</BibSource>-->
</Citation>
<Citation ID="CR13">
<BibUnstructured>13. Caro CV, Trow S, Bell Z, Flynn AC, Lavelle F. The Translation of Policy to Person: A Qualitative Analysis of Elite Athletes’ Perceptions of Pregnancy in the United Kingdom. Sports Medicine. 2025.</BibUnstructured>
<!--<BibSource>13. Caro CV, Trow S, Bell Z, Flynn AC, Lavelle F. The Translation of Policy to Person: A Qualitative Analysis of Elite Athletes&#x2019; Perceptions of Pregnancy in the United Kingdom. Sports Medicine. 2025.</BibSource>-->
</Citation>
<Citation ID="CR14">
<BibUnstructured>14. Davenport MH, Bains G, Hayman M, Cai C, Mkumbuzi NS, McHugh T-L. Advancing gender equity in sport: a scoping review of international sport federation policies for pregnant, postpartum and parenting elite athletes. British Journal of Sports Medicine. 2025:bjsports-2024-109135.</BibUnstructured>
<!--<BibSource>14. Davenport MH, Bains G, Hayman M, Cai C, Mkumbuzi NS, McHugh T-L. Advancing gender equity in sport: a scoping review of international sport federation policies for pregnant, postpartum and parenting elite athletes. British Journal of Sports Medicine. 2025:bjsports-2024-109135.</BibSource>-->
</Citation>
<Citation ID="CR15">
<BibUnstructured>15. Hassan A, Brockwell E, Dufour S, Dohi M, Davenport MH. Kicking Off Motherhood: Considering Return to Play Postpartum in the Footballer. Sports Med. 2025.</BibUnstructured>
<!--<BibSource>15. Hassan A, Brockwell E, Dufour S, Dohi M, Davenport MH. Kicking Off Motherhood: Considering Return to Play Postpartum in the Footballer. Sports Med. 2025.</BibSource>-->
</Citation>
<Citation ID="CR16">
<BibUnstructured>16. Hassan A, Dufour S, Brockwell E, Dohi M, Davenport MH. Pregnant Pitches: Navigating Football Before and During Pregnancy. Sports Med. 2025.</BibUnstructured>
<!--<BibSource>16. Hassan A, Dufour S, Brockwell E, Dohi M, Davenport MH. Pregnant Pitches: Navigating Football Before and During Pregnancy. Sports Med. 2025.</BibSource>-->
</Citation>
<Citation ID="CR17">
<BibUnstructured>17. Pregnancy Guidance and Support for UK Sport Funded Athletes. UK Sport; 2021.</BibUnstructured>
<!--<BibSource>17. Pregnancy Guidance and Support for UK Sport Funded Athletes. UK Sport; 2021.</BibSource>-->
</Citation>
<Citation ID="CR18">
<BibUnstructured>18. Kari B, Raul A, Ruben B, Wendy JB, Gregory ALD, Michael D, et al. Exercise and pregnancy in recreational and elite athletes: 2016/2017 evidence summary from the IOC expert group meeting, Lausanne. Part 5. Recommendations for health professionals and active women. British Journal of Sports Medicine. 2018;52(17):1080.</BibUnstructured>
<!--<BibSource>18. Kari B, Raul A, Ruben B, Wendy JB, Gregory ALD, Michael D, et al. Exercise and pregnancy in recreational and elite athletes: 2016/2017 evidence summary from the IOC expert group meeting, Lausanne. Part 5. Recommendations for health professionals and active women. British Journal of Sports Medicine. 2018;52(17):1080.</BibSource>-->
</Citation>
<Citation ID="CR19">
<BibUnstructured>19. McHugh T-LF, Davenport MH. Development of sport policy and practice recommendations for pregnant, postpartum and parenting Canadian high-performance athletes. BMJ Open Sport &amp; Exercise Medicine. 2024;10(3):e001888.</BibUnstructured>
<!--<BibSource>19. McHugh T-LF, Davenport MH. Development of sport policy and practice recommendations for pregnant, postpartum and parenting Canadian high-performance athletes. BMJ Open Sport &#x0026; Exercise Medicine. 2024;10(3):e001888.</BibSource>-->
</Citation>
<Citation ID="CR20">
<BibUnstructured>20. The Parenthood Recommendations2025. Available from: https://www.ausport.gov.au/ais/fphi/parenthood-recommendations.</BibUnstructured>
<!--<BibSource>20. The Parenthood Recommendations2025. Available from: https://www.ausport.gov.au/ais/fphi/parenthood-recommendations.</BibSource>-->
</Citation>
<Citation ID="CR21">
<BibUnstructured>21. O'Leary N, Caro C, Trow S, Bell Z, Payne E, Silverio SA, et al. Returning to sport after pregnancy: A qualitative study of elite female athletes in the UK. 2024.</BibUnstructured>
<!--<BibSource>21. O'Leary N, Caro C, Trow S, Bell Z, Payne E, Silverio SA, et al. Returning to sport after pregnancy: A qualitative study of elite female athletes in the UK. 2024.</BibSource>-->
</Citation>
<Citation ID="CR22">
<BibUnstructured>22. Holden J, Wagstaff CRD, Wadey R, Brown P. Navigating athlete development in elite sport: Understanding the barriers to the provision of performance lifestyle service in England. Psychology of Sport and Exercise. 2025;77:102779.</BibUnstructured>
<!--<BibSource>22. Holden J, Wagstaff CRD, Wadey R, Brown P. Navigating athlete development in elite sport: Understanding the barriers to the provision of performance lifestyle service in England. Psychology of Sport and Exercise. 2025;77:102779.</BibSource>-->
</Citation>
<Citation ID="CR23">
<BibUnstructured>23. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344-9.</BibUnstructured>
<!--<BibSource>23. von Elm E, Altman DG, Egger M, Pocock SJ, G&#x00F8;tzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol. 2008;61(4):344-9.</BibSource>-->
</Citation>
<Citation ID="CR24">
<BibUnstructured>24. George CV, Bell Z, Renard M, Brown E, Edwards L, Kloskowska P, et al. An investigation of the wants and needs for Pregnancy in Athletes and their postpartum return to sport in relation to Nutrition (The PAN project). 2024.</BibUnstructured>
<!--<BibSource>24. George CV, Bell Z, Renard M, Brown E, Edwards L, Kloskowska P, et al. An investigation of the wants and needs for Pregnancy in Athletes and their postpartum return to sport in relation to Nutrition (The PAN project). 2024.</BibSource>-->
</Citation>
<Citation ID="CR25">
<BibUnstructured>25. McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, et al. Defining Training and Performance Caliber: A Participant Classification Framework. Int J Sports Physiol Perform. 2022;17(2):317 − 31.</BibUnstructured>
<!--<BibSource>25. McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, et al. Defining Training and Performance Caliber: A Participant Classification Framework. Int J Sports Physiol Perform. 2022;17(2):317&#x2009;&#x2212;&#x2009;31.</BibSource>-->
</Citation>
<Citation ID="CR26">
<BibUnstructured>26. Bø K, Artal R, Barakat R, Brown W, Davies GA, Dooley M, et al. Exercise and pregnancy in recreational and elite athletes: 2016 evidence summary from the IOC expert group meeting, Lausanne. Part 1—exercise in women planning pregnancy and those who are pregnant. British Journal of Sports Medicine. 2016;50(10):571 − 89.</BibUnstructured>
<!--<BibSource>26. B&#x00F8; K, Artal R, Barakat R, Brown W, Davies GA, Dooley M, et al. Exercise and pregnancy in recreational and elite athletes: 2016 evidence summary from the IOC expert group meeting, Lausanne. Part 1&#x2014;exercise in women planning pregnancy and those who are pregnant. British Journal of Sports Medicine. 2016;50(10):571&#x2009;&#x2212;&#x2009;89.</BibSource>-->
</Citation>
<Citation ID="CR27">
<BibUnstructured>27. Dalhaug EM, Sanda B, Bø K, Brown WJ, Sundgot-Borgen J, Haakstad LAH. Exceeding the guidelines: A descriptive study of exercise, pregnancy, maternal and neonatal health outcomes in elite and recreational athletes. BMC Pregnancy and Childbirth. 2025;25(1):475.</BibUnstructured>
<!--<BibSource>27. Dalhaug EM, Sanda B, B&#x00F8; K, Brown WJ, Sundgot-Borgen J, Haakstad LAH. Exceeding the guidelines: A descriptive study of exercise, pregnancy, maternal and neonatal health outcomes in elite and recreational athletes. BMC Pregnancy and Childbirth. 2025;25(1):475.</BibSource>-->
</Citation>
<Citation ID="CR28">
<BibUnstructured>28. Forsdick VK, Harris R, Saw R, Hayman M, Buckling H, Sundgot-Borgen J, et al. Exploring Australian high-performance athletes’ perceptions and experiences of sport participation during pregnancy and post-pregnancy: Development and test-retest reliability of the Mum-Alete Survey. Physical Therapy in Sport. 2022;58:80 − 6.</BibUnstructured>
<!--<BibSource>28. Forsdick VK, Harris R, Saw R, Hayman M, Buckling H, Sundgot-Borgen J, et al. Exploring Australian high-performance athletes&#x2019; perceptions and experiences of sport participation during pregnancy and post-pregnancy: Development and test-retest reliability of the Mum-Alete Survey. Physical Therapy in Sport. 2022;58:80&#x2009;&#x2212;&#x2009;6.</BibSource>-->
</Citation>
<Citation ID="CR29">
<BibUnstructured>29. Renard M, Kelly DT, N NC, Lavelle F, C ÓC. Cooking and food skills confidence of team sport athletes in Ireland. Nutr Bull. 2023;48(3):329 − 42.</BibUnstructured>
<!--<BibSource>29. Renard M, Kelly DT, N NC, Lavelle F, C &#x00D3;C. Cooking and food skills confidence of team sport athletes in Ireland. Nutr Bull. 2023;48(3):329&#x2009;&#x2212;&#x2009;42.</BibSource>-->
</Citation>
<Citation ID="CR30">
<BibUnstructured>30. Taim BC, Lye J, Suppiah HT, Chan TW, Chia M, Clarke A. Menstrual cycle characteristics, perceived impact on performance, and barriers to communication: Perspectives of high-performance adolescent athletes in Singapore. Scandinavian Journal of Medicine &amp; Science in Sports. 2024;34(1):e14488.</BibUnstructured>
<!--<BibSource>30. Taim BC, Lye J, Suppiah HT, Chan TW, Chia M, Clarke A. Menstrual cycle characteristics, perceived impact on performance, and barriers to communication: Perspectives of high-performance adolescent athletes in Singapore. Scandinavian Journal of Medicine &#x0026; Science in Sports. 2024;34(1):e14488.</BibSource>-->
</Citation>
<Citation ID="CR31">
<BibUnstructured>31. Sharps FRJ, Wilson LJ, Graham CA, Curtis C. Prevalence of disordered eating, eating disorders and risk of low energy availability in professional, competitive and recreational female athletes based in the United Kingdom. Eur J Sport Sci. 2022;22(9):1445-51.</BibUnstructured>
<!--<BibSource>31. Sharps FRJ, Wilson LJ, Graham CA, Curtis C. Prevalence of disordered eating, eating disorders and risk of low energy availability in professional, competitive and recreational female athletes based in the United Kingdom. Eur J Sport Sci. 2022;22(9):1445-51.</BibSource>-->
</Citation>
<Citation ID="CR32">
<BibUnstructured>32. Kamemoto K, Yamada M, Matsuda T, Ogata H, Tanaka N, Sakamaki-Sunaga M. Relationship between weight management and menstrual status in female athletes: a cross-sectional survey. Women Health. 2021;61(8):819 − 27.</BibUnstructured>
<!--<BibSource>32. Kamemoto K, Yamada M, Matsuda T, Ogata H, Tanaka N, Sakamaki-Sunaga M. Relationship between weight management and menstrual status in female athletes: a cross-sectional survey. Women Health. 2021;61(8):819&#x2009;&#x2212;&#x2009;27.</BibSource>-->
</Citation>
<Citation ID="CR33">
<BibUnstructured>33. Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qualitative health research. 2005;15(9):1277-88.</BibUnstructured>
<!--<BibSource>33. Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qualitative health research. 2005;15(9):1277-88.</BibSource>-->
</Citation>
<Citation ID="CR34">
<BibUnstructured>34. Jones PAT, Brockwell E, Dufour S, Hassan A, Matenchuk BA, Davenport MH. The lasting impacts of relative energy deficiency in sport imposed on pregnancy health outcomes: A survey-based investigation. J Sport Health Sci. 2025;14:101072.</BibUnstructured>
<!--<BibSource>34. Jones PAT, Brockwell E, Dufour S, Hassan A, Matenchuk BA, Davenport MH. The lasting impacts of relative energy deficiency in sport imposed on pregnancy health outcomes: A survey-based investigation. J Sport Health Sci. 2025;14:101072.</BibSource>-->
</Citation>
<Citation ID="CR35">
<BibUnstructured>35. Burns L, Weissensteiner JR, Cohen M, Bird SR. A survey of elite and pre-elite athletes’ perceptions of key support, lifestyle and performance factors. BMC Sports Science, Medicine and Rehabilitation. 2022;14(1):2.</BibUnstructured>
<!--<BibSource>35. Burns L, Weissensteiner JR, Cohen M, Bird SR. A survey of elite and pre-elite athletes&#x2019; perceptions of key support, lifestyle and performance factors. BMC Sports Science, Medicine and Rehabilitation. 2022;14(1):2.</BibSource>-->
</Citation>
<Citation ID="CR36">
<BibUnstructured>36. Wasserfurth P, Palmowski J, Hahn A, Krüger K. Reasons for and Consequences of Low Energy Availability in Female and Male Athletes: Social Environment, Adaptations, and Prevention. Sports Medicine - Open. 2020;6(1):44.</BibUnstructured>
<!--<BibSource>36. Wasserfurth P, Palmowski J, Hahn A, Kr&#x00FC;ger K. Reasons for and Consequences of Low Energy Availability in Female and Male Athletes: Social Environment, Adaptations, and Prevention. Sports Medicine - Open. 2020;6(1):44.</BibSource>-->
</Citation>
<Citation ID="CR37">
<BibUnstructured>37. Khiri N, Howells K. Nutritional Education in Medical Curricula and Clinical Practice: A Scoping Review on the Knowledge Deficit Amongst Medical Students and Doctors. J Hum Nutr Diet. 2025;38(2):e70031.</BibUnstructured>
<!--<BibSource>37. Khiri N, Howells K. Nutritional Education in Medical Curricula and Clinical Practice: A Scoping Review on the Knowledge Deficit Amongst Medical Students and Doctors. J Hum Nutr Diet. 2025;38(2):e70031.</BibSource>-->
</Citation>
<Citation ID="CR38">
<BibUnstructured>38. Stone ME, Chapman P, Khasnis U, Collins D. Addressing the Shortage of Women in High-Performance Sport: What Is Known and What We Need to Know. Psychology International. 2025;7(3):74.</BibUnstructured>
<!--<BibSource>38. Stone ME, Chapman P, Khasnis U, Collins D. Addressing the Shortage of Women in High-Performance Sport: What Is Known and What We Need to Know. Psychology International. 2025;7(3):74.</BibSource>-->
</Citation>
<Citation ID="CR39">
<BibUnstructured>39. Santos-Rocha R, Szumilewicz A. Fostering the social and physical challenges of female recreational or professional athletes in pregnancy and postpartum. BMC Pregnancy and Childbirth. 2024;24(1):128.</BibUnstructured>
<!--<BibSource>39. Santos-Rocha R, Szumilewicz A. Fostering the social and physical challenges of female recreational or professional athletes in pregnancy and postpartum. BMC Pregnancy and Childbirth. 2024;24(1):128.</BibSource>-->
</Citation>
<Citation ID="CR40">
<BibUnstructured>40. McNulty K, Taim BC, Freemas J, Hassan A, Brantner C, Oleka C, et al. Research Across the Female Life Cycle: Reframing the Narrative for Health and Performance in Athletic Females and Showcasing Solutions to Drive Advancements in Research and Translation. Women in Sport and Physical Activity Journal. 2024;32.</BibUnstructured>
<!--<BibSource>40. McNulty K, Taim BC, Freemas J, Hassan A, Brantner C, Oleka C, et al. Research Across the Female Life Cycle: Reframing the Narrative for Health and Performance in Athletic Females and Showcasing Solutions to Drive Advancements in Research and Translation. Women in Sport and Physical Activity Journal. 2024;32.</BibSource>-->
</Citation>
<Citation ID="CR41">
<BibUnstructured>41. Maughan RJ, Burke LM, Dvorak J, Larson-Meyer DE, Peeling P, Phillips SM, et al. IOC Consensus Statement: Dietary Supplements and the High-Performance Athlete. International Journal of Sport Nutrition and Exercise Metabolism. 2018;28(2):104 − 25.</BibUnstructured>
<!--<BibSource>41. Maughan RJ, Burke LM, Dvorak J, Larson-Meyer DE, Peeling P, Phillips SM, et al. IOC Consensus Statement: Dietary Supplements and the High-Performance Athlete. International Journal of Sport Nutrition and Exercise Metabolism. 2018;28(2):104&#x2009;&#x2212;&#x2009;25.</BibSource>-->
</Citation>
<Citation ID="CR42">
<BibUnstructured>42. Close GL, Kasper AM, Walsh NP, Maughan RJ. "Food First but Not Always Food Only": Recommendations for Using Dietary Supplements in Sport. Int J Sport Nutr Exerc Metab. 2022;32(5):371 − 86.</BibUnstructured>
<!--<BibSource>42. Close GL, Kasper AM, Walsh NP, Maughan RJ. "Food First but Not Always Food Only": Recommendations for Using Dietary Supplements in Sport. Int J Sport Nutr Exerc Metab. 2022;32(5):371&#x2009;&#x2212;&#x2009;86.</BibSource>-->
</Citation>
<Citation ID="CR43">
<BibUnstructured>43. Smith-Ryan AE, Hirsch KR, Saylor HE, Gould LM, Blue MNM. Nutritional Considerations and Strategies to Facilitate Injury Recovery and Rehabilitation. J Athl Train. 2020;55(9):918 − 30.</BibUnstructured>
<!--<BibSource>43. Smith-Ryan AE, Hirsch KR, Saylor HE, Gould LM, Blue MNM. Nutritional Considerations and Strategies to Facilitate Injury Recovery and Rehabilitation. J Athl Train. 2020;55(9):918&#x2009;&#x2212;&#x2009;30.</BibSource>-->
</Citation>
</Bibliography>
</ArticleBackmatter><submission-metadata><Submission-Metadata Rules="ArticleTitle Abstract "/><RoleBasedAnnotationDisplay DynamicView="True"/><Submission-Metadata-Present>Yes</Submission-Metadata-Present><ArticleTitle Language="EN">Pregnancy and Postpartum Nutritional Wants and Needs in Athletes: A Cross-Sectional Survey in the United Kingdom and Republic of</ArticleTitle></submission-metadata>
</Article>