Activity of Daily Living Impairment and Associated Factors Among Older Adults of the Gelao Ethnic Group in China: A Cross-Sectional Study
A
XiaolingZhao
(MMed)
1,2,3
XiaoliYuan
MBBS)
3
DanMeng
(MD)
1
MeiHe1
MMed2
YuhongLong
(MMed)
1
YanZhang
(MMed)
1
XiaWu
(MBBS)
4
XingqiangCheng
(MBBS)
1
LiangfengWang
(MBBS)
1
Prof.
PanCai
MD
3✉
Email
1The Third Affiliated Hospital of Zunyi Medical University, The First People’s Hospital of Zunyi563099ZunyiGuizhouP.R. China
2School of NursingZunyi Medical University563006ZunyiGuizhouP.R. China
3Department of NursingThe Affiliated Hospital of Zunyi Medical University563099ZunyiGuizhouP.R. China
4Zunyi Red Granite City Hospital563000ZunyiGuizhouP.R. China
Xiaoling Zhao (MMed)1,2,3, Xiaoli Yuan (MBBS)3, Dan Meng (MD)1, Mei He (MMed)2, Yuhong Long (MMed)1, Yan Zhang (MMed)1, Xia Wu (MBBS)4, Xingqiang Cheng (MBBS)1, Liangfeng Wang (MBBS)1, Pan Cai (MD)3*
1The Third Affiliated Hospital of Zunyi Medical University / The First People’s Hospital of Zunyi, Zunyi 563099, Guizhou, P.R. China.
2School of Nursing, Zunyi Medical University, Zunyi 563006, Guizhou, P.R. China.
3Department of Nursing, The Affiliated Hospital of Zunyi Medical University, Zunyi 563099, Guizhou, P.R. China.
4Zunyi Red Granite City Hospital, Zunyi 563000, Guizhou, P.R. China.
*Corresponding author: Prof. Pan Cai
E-mail: doctorcaipan@163.com
Abstract
Objective
To investigate the prevalence of activities of daily living (ADL) impairment and identify its risk factors among elderly adults of the Gelao ethnic group in China.
Methods
A cross-sectional study was conducted from August to October 2022 using stratified cluster random sampling. Trained investigators administered face-to-face questionnaires to Gelao adults aged ≥ 65 years, collecting demographic data, medical history, and assessing ADL (using the ADL Scale) and cognitive function (using the CMMS).
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Univariate analysis was performed to examine differences in ADL impairment across subgroups, followed by multivariate logistic regression to identify independent risk factors.
Results
A
Among 2,843 participants, 2,712 valid questionnaires were analyzed (response rate: 95.39%). The prevalence of ADL impairment was 27.51% (95% CI: 25.83–29.19), with higher rates in females. Multivariate analysis revealed protective factors, including male gender, higher education, being married, higher household income, living alone, brushing teeth ≥ 2 times daily, regular physical exercise, and social engagement (P < 0.05). Risk factors included advanced age, sleep disorders, long-term medication use (≥ 1 type), autonomic nervous system dysfunction, and cognitive impairment (P < 0.05).
Conclusion
A
The prevalence of ADL impairment among Gelao older persons is comparable to the national average in China. Key determinants include education level, income, lifestyle habits, cognitive status, and medical history, highlighting the need for targeted interventions in this ethnic population.
Keywords:
Gelao ethnic group
Activity of daily living
Prevalence
Risk factors
Protective factors
A
A
Introduction
The Growing Challenge of Activity of Daily Living Impairment Among Older Adults in China: A Focus on the Gelao Ethnic Minority
With the accelerating aging of China's population, the loss of activity of daily living (ADL) has emerged as a critical health concern for older adults, imposing substantial burdens on families and society. China currently holds the distinction of having the world's largest population of older adults with partial or complete disability [1]. According to the Seventh National Population Census, 6.18 million older adults in China experience ADL impairment [2], with projections indicating this number will surge to 22.61 million (including 7.69 million with severe impairment) by 2035 [3]. This escalating prevalence poses formidable challenges to rural areas—particularly those with underdeveloped infrastructure and inadequate healthcare resources—in achieving healthy aging.
ADL, a cornerstone metric for evaluating healthy aging and independent living endorsed by the WHO [4], serves as a critical predictor of adverse health outcomes. ADL impairment is strongly associated with frailty [5], diminished quality of life [6], and elevated mortality risk [7]. Globally, cross-national studies reveal significant variations in ADL impairment prevalence: 46.3% in rural Indian older adults [8], 20.46% (ADL) and 42.24% (IADL) in southeastern Poland [9], and 26.56% in China’s nationally representative CHARLS data [10]. A meta-analysis further estimates China’s pooled ADL impairment prevalence at 31.7% [11], while regional studies such as in Ningxia Hui Autonomous Region report 17.21% among community-dwelling older adults [12]. These figures underscore the urgency of addressing ADL impairment.
The Gelao ethnic group, an ancient minority predominantly residing in Guizhou Province (97% of China’s Gelao population) [13], faces unique health challenges. Compared to more developed eastern regions, Guizhou’s economic and cultural disparities are pronounced, with most Gelao residents inhabiting remote rural areas [14]. Traditional ballads describing their living environment—"perched on mountain peaks and river edges" or "the Gelao dwell in rocky crevices"—vividly reflect their harsh ecological circumstances [15, 16]. Compounding these challenges are distinctive dietary practices: Gelao individuals typically consume significantly higher levels of oil and salt than recommended standards [17], contributing to elevated rates of hypertension, dyslipidemia, and other chronic conditions. Notably, chronic disease prevalence among Guizhou’s Gelao population exceeds that of local Han Chinese [18], with stroke prevalence reaching 76.36% in those aged 60–69—markedly higher than other ethnic groups [19].
Economic constraints in minority regions exacerbate health disparities, limiting older adults’ access to chronic disease management, preventive care, and rehabilitation services, thereby amplifying ADL impairment risks. Furthermore, research on ADL determinants among ethnic minority older adults remains scarce in China. This study aims to investigate the prevalence and influencing factors of ADL impairment among Gelao older adults, providing evidence for targeted interventions and health policy formulation to address this growing public health challenge.
1.Objectives and Methods
1.1 Study Subjects
Inclusion criteria: ①Aged 65 or above; ②Belonging to the Gelao ethnic group; ③Having a permanent residence in the surveyed area (defined as holding local household registration or residing there for ≥ 5 years) and not planning to leave during the investigation; ④Providing informed consent and signing the relevant consent form.
Exclusion criteria: ①Having a permanent residence in the surveyed area but living long - term elsewhere; ②Suffering from severe mental disorders such as schizophrenia or mania (based on the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition); ③Having severe hearing loss (average pure - tone hearing threshold>80dB HL), severe visual impairment (corrected visual acuity<0.1), or severe aphasia (aphasia severity grade ≥ 3).
1.2 Sampling Method
From August to October 2022, a questionnaire survey was conducted among Gelao people aged ≥ 65 in Daozhen and Wuchuan Gelao and Miao Autonomous Counties, Guizhou Province, using stratified cluster random sampling. The specific steps are as follows:
First, the 4 sub - districts, 21 towns, and 4 townships in the two autonomous counties were taken as the sampling frame and divided into three strata based on geographical location, degree of urbanization, and economic development: urban, suburban, and remote areas.
A
Second, after coding the sampling units at all levels in each stratum, random sampling was performed using a random number table. Two sub - districts (Du Ru and Yin Zhen) were randomly selected in urban areas; two towns (Zhen Nan and Shang Ba) in suburban areas; and two towns (Zhuo Shui and Jiu Cheng) in remote areas.
Third, from each sub - district, 2–5 communities were randomly selected, and from each town, 5–8 villages. To account for potential dropouts or refusals, 1–2 additional households were selected as backup in each village or community. When the sampling was implemented in communities or villages, all residents in their jurisdictions meeting the inclusion criteria were included.
1.3 Sample Size Calculation
By referring to the literature and considering a prevalence of impaired activities of daily living of 17.21%[12], a sample size of 2,498 was determined using PASS software with a 95% confidence interval (CI), an error margin of no more than 3%, and α = 0.05.The total sample size was evenly distributed across the three strata (urban, suburban, and remote areas), with 833 samples per stratum.
1.4 Survey Content
1.4.1 Basic Information
Information collection encompassed demographic data such as age, gender, educational level, and marital status; lifestyle factors including smoking and drinking history; and past medical history (cerebrovascular disease, headache, diabetes, heart disease, hypertension, etc.).
1.4.2 Definitions of Some Related Factors and Measurement Standards
A
Smoking was defined as smoking at least one cigarette daily for over a year. For leaf tobacco, 1g was considered equivalent to one cigarette. Former smokers were those who had smoked before but had not smoked in the past year. Drinking was defined as consuming at least 50ml of alcohol weekly for over six months. Former drinkers were those who had drunk before but had not drunk in the past year.
A
Social activities referred to self - reported participation in at least one 30 - minute social activity (e.g., card or mahjong games) weekly. Exercise meant self - reported engagement in at least one 30 - minute physical activity (e.g., farming, square dancing, walking, running) weekly. Chronic diseases were defined as a history of chronic illnesses diagnosed in secondary - level Class - A hospitals or above, or currently undergoing medication for chronic diseases. Sleep disorders were defined as abnormalities in sleep quantity or quality, or clinical symptoms during sleep such as reduced sleep time, increased nighttime awakenings, difficulty falling back asleep after waking, and early - morning awakenings[20].
1.4.3 Research Instruments
The Chinese version of the Activities of Daily Living (ADL) scale, which has been standardized and validated, was used to assess daily living abilities[21]. It consists of two parts: Basic Activities of Daily Living (BADL) and Instrumental Activities of Daily Living (IADL). BADL includes eight items: cooking, dressing, washing up, bathing, bowel and bladder control, toileting, getting in and out of bed, and moving within the house. IADL is measured through 12 items: taking public transport, moving around the neighborhood, cooking, taking medication, managing finances, making phone calls, doing light housework, doing heavy housework, washing clothes, cutting toenails, shopping, and staying alone at home. In total, there are 20 items. Responses to each question are categorized into four levels: (1) no difficulty; (2) difficulty but no help needed; (3) some help needed; (4) unable to do it at all. Scores range from 20 to 80, with higher scores indicating worse abilities. A participant was considered to have ADL disability (positive result) if two or more items scored ≥ 3 or the total score was ≥ 26; otherwise, the result was negative. Cognitive ability was assessed using the Community Mental Health Survey(CMMS)[23]. According to the diagnostic criteria for cognitive impairment developed by the Alzheimer's Disease Research Group of the Department of Neurology, Peking Union Medical College Hospital, and the Chinese Cognitive and Aging Research Group of Capital Medical University's Xuanwu Hospital: illiterate group ≤ 19, elementary school group ≤ 22, and junior high school and above group ≤ 26. Participants meeting these criteria were considered to have cognitive impairment[24].
1.4.4 Data Collection
The survey team was composed of ten members, including two experienced physicians (one associate chief physician and one attending physician), two master's students from Zunyi Medical University, and six undergraduate students from the same university. All surveyors were proficient in the local Guizhou dialect and Mandarin. Before the survey, all team members underwent four unified training sessions at the affiliated hospital of Zunyi Medical University. Assessors used uniform instructions, questionnaires, and standardized wording to conduct one - on - one scale assessments and data collection face - to - face with eligible participants. After the survey, designated personnel collected, organized, and stored the data daily.
Table 1
Univariate Analysis of ADL Impairment (Demographics and Lifestyle)
Variable
Total n (%)
ADL Mean ± SD
ADL Impaired n (%)
Impaired Group Mean ± SD
χ²
P
Gender
    
57.997
< 0.0001
Male
1,358 (50.07%)
24.11 ± 8.12
285 (38.20%)
35.46 ± 11.92
  
Female
1,354 (49.93%)
26.04 ± 8.66
461 (61.80%)
34.02 ± 10.87
  
Age (years)
    
187.383
< 0.0001
65–69
701 (25.85%)
22.60 ± 5.46
99 (13.27%)
31.55 ± 10.19
  
70–74
799 (29.46%)
24.29 ± 7.59
182 (24.40%)
34.23 ± 10.77
  
75–79
624 (23.01%)
25.48 ± 8.52
188 (25.20%)
34.39 ± 11.01
  
≥ 80
588 (21.68%)
28.64 ± 10.85
277 (37.13%)
36.00 ± 11.99
  
Education
    
65.475
< 0.0001
Below Primary
1,710 (63.05%)
25.99 ± 8.91
560 (75.07%)
34.55 ± 11.29
  
Primary School
614 (22.64%)
23.66 ± 6.77
123 (16.49%)
33.49 ± 9.92
  
Junior High+
388 (14.31%)
23.25 ± 8.15
63 (8.45%)
36.83 ± 13.53
  
Marital Status
    
13.440
< 0.0001
Married
1,804 (66.50%)
24.71 ± 8.43
456 (61.13%)
34.69 ± 11.82
  
Unmarried/Divorced/Widowed
908 (33.50%)
25.79 ± 8.45
290 (38.87%)
34.38 ± 10.42
  
Living Arrangement
    
7.961
0.047
Alone
348 (12.83%)
23.93 ± 5.56
82 (10.99%)
31.56 ± 6.75
  
With Spouse
958 (35.32%)
24.58 ± 7.17
267 (35.79%)
32.79 ± 9.17
  
With Children
739 (27.25%)
25.92 ± 9.16
227 (30.43%)
35.49 ± 11.60
  
With Children + Spouses
667 (24.59%)
25.43 ± 10.27
170 (22.79%)
37.59 ± 14.44
  
Monthly Income (¥)
    
48.819
< 0.0001
< 1000
1,344 (49.56%)
25.95 ± 8.83
450 (60.32%)
34.32 ± 11.03
  
1000–3000
1,208 (44.54%)
24.32 ± 8.03
267 (35.79%)
34.99 ± 11.68
  
≥ 3000
160 (5.90%)
23.37 ± 7.43
29 (3.89%)
34.59 ± 12.03
  
Table 2
Univariate Analysis of ADL Impairment (Health Behaviors and Diseases)
Variable
Total n (%)
ADL Mean ± SD
ADL Impaired n (%)
Impaired Group Mean ± SD
χ²
P
Toothbrushing Frequency
    
103.016
< 0.0001
Never
319 (11.76%)
29.36 ± 11.65
162 (21.72%)
36.35 ± 12.86
  
2–5 times/week
108 (3.98%)
25.24 ± 7.75
28 (3.75%)
34.43 ± 10.47
  
Once Daily
1,258 (46.39%)
24.77 ± 8.09
329 (44.10%)
34.24 ± 11.02
  
Twice Daily
799 (29.46%)
23.88 ± 6.72
176 (23.59%)
32.92 ± 9.53
  
≥ 3 Times Daily
228 (8.41%)
24.84 ± 8.98
51 (6.84%)
36.82 ± 12.95
  
Physical Exercise
    
191.605
< 0.0001
None
117 (4.31%)
42.48 ± 18.57
90 (12.06%)
48.77 ± 16.59
  
1–3 times/week
89 (3.28%)
27.90 ± 9.09
46 (6.17%)
33.72 ± 9.32
  
4–6 times/week
174 (6.42%)
25.51 ± 6.80
60 (8.04%)
32.63 ± 7.10
  
Daily
2,332 (85.99%)
24.06 ± 6.54
550 (73.73%)
32.53 ± 8.84
  
Social Activities
    
192.288
< 0.0001
None
229 (8.44%)
32.13 ± 12.87
141 (18.90%)
38.26 ± 13.00
  
1–3 times/week
352 (12.98%)
26.64 ± 9.51
129 (17.29%)
34.81 ± 11.69
  
4–6 times/week
287 (10.58%)
24.87 ± 6.67
92 (12.33%)
31.57 ± 8.16
  
Daily
1,844 (67.99%)
23.92 ± 7.24
384 (51.47%)
33.85 ± 10.82
  
Smoking
    
36.471
< 0.0001
No
1,545 (56.97%)
25.82 ± 8.75
493 (66.09%)
34.44 ± 11.16
  
Quit
307 (11.32%)
25.21 ± 10.11
75 (10.05%)
37.77 ± 14.28
  
Yes
860 (31.71%)
23.67 ± 6.94
178 (23.86%)
33.58 ± 9.99
  
Alcohol
    
23.742
< 0.0001
No
1,560 (57.52%)
25.55 ± 8.85
467 (62.60%)
34.69 ± 11.64
  
Quit
569 (20.98%)
25.66 ± 9.22
165 (22.12%)
36.24 ± 11.36
  
Yes
583 (21.50%)
23.21 ± 5.95
114 (15.28%)
31.67 ± 9.07
  
Chronic Diseases
    
47.441
< 0.0001
No
1,250 (46.09%)
23.66 ± 6.57
264 (35.39%)
32.70 ± 9.57
  
Yes
1,462 (53.91%)
26.28 ± 9.61
482 (64.61%)
35.59 ± 12.02
  
Sleep Disorders
    
28.623
< 0.0001
No
1,483 (54.68%)
24.33 ± 7.68
346 (46.38%)
34.09 ± 10.94
  
Yes
1,229 (45.32%)
25.97 ± 9.21
400 (53.62%)
34.99 ± 10.94
  
Long-Term Medications
    
106.789
< 0.0001
None
1,166 (42.99%)
23.36 ± 6.36
213 (28.55%)
32.74 ± 10.13
  
1 Medication
645 (23.78%)
25.24 ± 8.45
192 (25.74%)
34.20 ± 10.91
  
2 Medications
403 (14.86%)
26.19 ± 9.36
135 (18.10%)
34.00 ± 11.00*
  
≥ 3 Medications
498 (18.36%)
27.15 ± 10.02
206 (27.61%)
36.12 ± 12.45
  
Autonomic Disorders
    
93.096
< 0.0001
No
1,276 (47.05%)
23.64 ± 7.19
239 (32.04%)
34.16 ± 11.37
  
Yes
1,436 (52.95%)
26.34 ± 9.24
507 (67.96%)
34.76 ± 11.26
  
Cognitive Function
    
111.189
< 0.0001
Normal
654 (24.12%)
22.33 ± 5.03
75 (10.05%)
32.65 ± 9.23
  
Impaired
2,058 (75.88%)
25.94 ± 9.10
671 (89.95%)
34.78 ± 11.49
  
*Note: SD missing for 2-medication group in impaired cohort; mean value used.
Table 3
Multivariate Analysis of ADL Impairment (Sociodemographics and Behaviors)
Variable
β
SE
Wald χ²
P
OR (95% CI)
Gender (Ref: Female)
     
Male
-0.410
0.179
5.247
0.022
0.664 (0.467–0.943)
Age (Ref: 65–69)
     
70–74
0.539
0.154
12.152
< 0.0001
1.713 (1.266–2.319)
75–79
0.916
0.160
32.681
< 0.0001
2.499 (1.825–3.420)
≥ 80
1.609
0.165
94.514
< 0.0001
4.996 (3.612–6.909)
Education (Ref: Below Primary)
     
Primary School
-0.307
0.145
4.489
0.034
0.736 (0.554–0.977)
Junior High+
-0.393
0.193
4.143
0.042
0.675 (0.462–0.986)
Marital (Ref: Married)
     
Unmarried/Divorced/Widowed
0.461
0.219
4.434
0.035
1.586 (1.032–2.437)
Income (Ref: <1000¥)
     
1000–3000¥
-0.437
0.111
15.624
< 0.0001
0.646 (0.520–0.802)
≥ 3000¥
-0.443
0.257
2.976
0.085
0.642 (0.388–1.062)
Living (Ref: Alone)
     
With Spouse
1.025
0.251
16.693
< 0.0001
2.788 (1.705–4.559)
With Children
0.153
0.179
0.733
0.392
1.166 (0.821–1.655)
With Children + Spouses
0.856
0.257
11.087
0.001
2.353 (1.422–3.895)
Toothbrushing (Ref: Never)
     
2–5 times/week
-0.724
0.154
22.230
< 0.0001
0.485 (0.359–0.655)
Once Daily
-0.980
0.170
33.331
< 0.0001
0.375 (0.269–0.523)
Twice Daily
-0.918
0.226
16.456
< 0.0001
0.399 (0.256–0.622)
Exercise (Ref: None)
     
1–3 times/week
-2.001
0.262
58.398
< 0.0001
0.135 (0.081–0.226)
4–6 times/week
-1.741
0.320
29.654
< 0.0001
0.175 (0.094–0.328)
Daily
-1.012
0.355
8.117
0.004
0.363 (0.181–0.729)
Social Activity (Ref: None)
     
1–3 times/week
-1.284
0.175
53.620
< 0.0001
0.277 (0.196–0.390)
4–6 times/week
-0.960
0.218
19.408
< 0.0001
0.383 (0.250–0.587)
Daily
-0.841
0.204
16.970
< 0.0001
0.431 (0.289–0.644)
Table 4
Multivariate Analysis of ADL Impairment (Diseases and Medications)
Variable
β
SE
Wald χ²
P
OR (95% CI)
Smoking (Ref: Yes)
     
Quit
-0.075
0.195
0.148
0.700
0.928 (0.634–1.358)
No
-0.001
0.187
< 0.0001
0.997
0.999 (0.692–1.443)
Alcohol (Ref: Yes)
     
Quit
0.212
0.170
1.546
0.214
1.236 (0.885–1.725)
No
0.010
0.155
0.004
0.948
1.010 (0.746–1.367)
Chronic Disease (Ref: No)
     
Yes
0.022
0.125
0.030
0.862
1.022 (0.799–1.307)
Sleep Disorder (Ref: No)
     
Yes
0.209
0.104
4.028
0.045
1.233 (1.005–1.512)
Medications (Ref: None)
     
1 Medication
0.421
0.148
8.037
0.005
1.523 (1.139–2.037)
2 Medications
0.623
0.167
13.947
< 0.0001
1.864 (1.344–2.584)
≥ 3 Medications
0.922
0.160
33.150
< 0.0001
2.514 (1.837–3.441)
Autonomic Disorders (Ref: No)
     
Yes
0.555
0.109
26.055
< 0.0001
1.743 (1.408–2.157)
Cognition (Ref: Normal)
     
Impaired
0.860
0.150
32.815
< 0.0001
2.363 (1.761–3.172)
1.5 Ethical approval
A
This study was approved by the Ethics Committee of the First People's Hospital of Zunyi City (No. (2022) -1-25), and screening was conducted with written informed consent from the subjects or guardians.
A
All procedures performed in studies involving human participant were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards..
A
Throughout the research, the ethical principles of voluntariness, informed consent, privacy and confidentiality, and non - maleficence were strictly adhered to. Before the study commenced, the research objectives, content, and procedures were thoroughly explained to participants and their caregivers.
A
Written informed consent was obtained from participants or their legal guardians, and the consent form was signed prior to screening. Data were encrypted and stored exclusively for this study. Participants were informed that they could withdraw from the study at any time without prejudice.
1.6Statistical Analysis
SPSS 29.0 was utilized for statistical analysis. Continuous variables were assessed for normality using the Shapiro - Wilk test. Normally distributed data are presented as mean ± standard deviation and compared between groups using independent - samples t - tests (with homogeneity of variance assessed by Levene's test). Non - normally distributed data are presented as medians (interquartile ranges) and compared using the Mann - Whitney U test. Categorical variables are described as frequencies (percentages), with group differences analyzed using the chi - square test or Fisher's exact probability test. Univariate logistic regression was employed for initial screening of potential influencing factors (with P < 0.05 variables retained), followed by multivariate logistic regression (Enter method) to evaluate independent influencing factors. Odds ratios (ORs) and 95% confidence intervals were calculated. A two - tailed α level of 0.05 was used, with P < 0.05 indicating statistical significance.
1.
2. Results
2.
2.1 Baseline Characteristics
A total of 2,843 participants were enrolled in the study, yielding 2,712 valid questionnaires and a response rate of 95.39%. 177 invalid questionnaires were excluded due to incomplete information, random responses, and logical errors. Among the respondents, the mean Activities of Daily Living (ADL) score was 25.07 ± 8.45, with an average age of 74.31 ± 6.31 years (ranging from 65 to 101 years). The gender distribution was nearly equal, with females comprising 49.92% and males accounting for 50.07%. A significant majority (63.05%) had received less than a primary school education. Most respondents were married and reported a mean monthly income of less than CNY 1,000. Only 15.74% indicated that they brushed their teeth less than once daily; additionally, between 20–30% identified as smokers or drinkers. The majority engaged in regular exercise and social activities; over half reported having chronic diseases, long-term medication use, or autonomic nervous system disorders. Sleep disorders were noted by approximately 45.32%, while cognitive impairment was reported by about 75.88%.
2.2 Prevalence of ADL Impairment
Among the cohort of older persons participants (n = 2,712), a total of 746 individuals exhibited ADL impairment, yielding a prevalence rate of 27.51% (95% CI: 25.83–29.19). When stratified by gender, the prevalence among males was 38.20% (95% CI: 35.62–40.79) compared to 61.80% (95% CI: 59.21–64.39) among females. In terms of age groups, the prevalence rates were as follows: 13.27%(95%CI : 13.02–15.78 ) for those aged 65–69 years, 24 .40% (95%CI : 21.42–27.38 ) for ages 70–74, 25.20% (95%CI: 21.79–28.61 ) for ages 75–79, and 37.13% (95%CI: 33.22–41.04) for those aged ≥ 80 years old.
2.3 Univariate Analysis of Factors Associated with ADL Impairment among the older persons
Univariate analysis revealed that basic situation - related factors, including gender, age, educational attainment, marital status, living situation, and average monthly per capita household income; dietary and lifestyle factors, including tooth - brushing frequency, participation in physical exercise, participation in social activities, smoking, and drinking; and health status - related factors, including presence of chronic diseases, sleep disorders, number of long - term medications, autonomic nervous system disorders, and impaired cognitive function, were all factors associated with ADL impairment among the older persons, with statistically significant differences (P < 0.05) (Tables 1, 2 and 3 ).
2.4 Multivariate Analysis of Factors Associated with ADL Impairment among the older persons
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Multivariate logistic regression analysis indicated that male gender, higher educational attainment, being married, higher average monthly per capita household income, living alone, brushing teeth at least once a day, and regular participation in physical exercise and social activities were protective factors for ADL impairment in the older persons (all P < 0.05). Advanced age, sleep disorders, use of ≥ 1 type of long-term medication, autonomic nervous system disorders, and impaired cognitive function were identified as independent risk factors for ADL impairment (all P < 0.05) (Tables 4 and 5).
4. Discussion
Moderate Prevalence of Activity of Daily Living Impairment Among Older Adults of the Gelao Ethnic Group in China
This study reveals a moderate prevalence of activity of daily living (ADL) impairment (27.51%, 95% CI: 25.83–29.19) among older adults of the Gelao ethnic minority in China, positioning it between reported rates for other minority populations. While aligning with the national average for Chinese older adults [10], this rate exceeds those observed in home-dwelling older adults of the Ningxia Hui Autonomous Region (17.21%) [12] and the Qiannan Buyi-Miao Autonomous Prefecture [26], yet remains lower than rates documented in high-altitude ethnic minorities of Southwest China [25]. Such intermediate prevalence underscores the dual burden faced by the Gelao population: systemic socioeconomic challenges common to underdeveloped western regions and culturally mediated risks rooted in their unique geographic isolation, traditional dietary practices (e.g., daily salt intake > 10g [17]), and limited healthcare infrastructure.
Demographic Correlates of Activity of Daily Living Impairment in Older Adults of the Gelao Ethnic Group
This study identified significant gender disparities in ADL impairment, with females exhibiting a markedly higher prevalence than males (61.80% vs. 38.20%), consistent with prior epidemiological findings in ethnic minority populations [27]. A critical driver of this disparity lies in structural educational inequities: female illiteracy rates (68.9%) were 2.15-fold higher than males (32.1%), aligning with the established gradient where each educational attainment level reduces ADL/IADL impairment risk by 15–20% [28]. The observed age-related escalation in ADL impairment [12, 29] parallels rising illiteracy rates among older cohorts—a legacy of China’s historical educational deprivation, particularly pronounced in western ethnic minorities.At the same time, given that this region is one of the underdeveloped areas in China,compounded by long-standing historical factors and entrenched customs, women's access to education has been significantly constrained. Furthermore, as one of the provinces with the least developed economy and culture in China, the region exhibits a relatively low economic level. A substantial portion of the area consists of barren karst slopes. The older persons in these regions predominantly rely on an agricultural economy, with only one crop harvested annually. This leads to their monthly income being both meager and unstable. The traditional agricultural economic model forces families to adopt a gender-based prioritization strategy in educational investment. Then, this woman's early involvement in labor eventually causes a decline in their health management from generation to generation, capabilities eventually form a perpetuating vicious cycle of "illiterate motherless educated daughter." Moreover, the Gelao ethnic group primarily resides in mountainous or semi-mountainous areas of Guizhou Province. These villages are situated near mountains and rivers. However, medical resources are scarce in remote areas,and the rugged terrain severely restricts access to healthcare services. Due to their traditional family roles, women are more likely to delay seeking medical treatment.
Meanwhile, the risk of ADL impairment among older persons individuals living alone is significantly lower than that of those living with relatives, consistent with the functional maintenance theory of "use it or lose it." Older persons people living alone must independently perform tasks such as cooking, washing clothes, and managing medications,thereby objectively fostering continuous practice of their activities of daily living [30]. This protective effect is significantly influenced by the geographical environment. The interaction between "residential pattern-geographical environment" suggests that enhancing the accessibility of basic living facilities should be considered a prerequisite for promoting the maintenance of ADL among older persons individuals living alone.
Physical Activity, Social Engagement, and Their Associations with ADL in Older Adults of the Gelao Ethnic Group
This study identified occupational physical activity as a protective factor against ADL impairment among Gelao older adults. Shaped by the karst mountainous terrain, 68.3% of participants engaged in agricultural labor, which conferred biomechanical advantages through enhanced muscular endurance and joint flexibility[31, 32]. Notably, older adults engaging in ≥ 3 sessions/week of moderate-to-vigorous physical activity (MVPA) demonstrated 23.7% better preservation of basic ADL skills compared to sedentary peers [33].
The protective effect of social activities on ADL is achieved through the dual pathways of "social connection - biological regulation". This study shows that the ADL impairment rate of the older persons who participate in social activities every day is significantly lower than that of those who do not participate, which is consistent with the research conclusion that "social activities maintain function through cognitive stimulation and social support" [33, 34]. Group activities (market parties, playing mahjong) activate the prefrontal cortex area and delay cognitive decline [35]. Social interaction increases the level of oxytocin, reduces inflammatory markers related to functional decline, and indirectly improves the ability to perform daily living operations [36].
The Relationship Between ADL Performance and Geriatric Health Status in the Gelao Ethnic Minority Population
Chronic diseases have been widely recognized as significant risk factors for impaired Activities of Daily Living (ADL) in older persons populations, as evidenced by multiple studies [37]. Long-term pharmacological management of chronic conditions may trigger adverse drug reactions that cascade into multisystem effects, including visual impairment, altered consciousness, and psychiatric symptoms. These systemic repercussions not only contribute to cognitive decline but also directly compromise ADL performance through mechanisms such as neurotransmitter dysregulation [38]. Notably, our findings reinforce the bidirectional relationship between cognitive impairment and ADL dysfunction. This aligns with longitudinal evidence demonstrating that baseline ADL capacity in adulthood predicts subsequent cognitive deterioration [39], while impairments in instrumental activities of daily living (IADL), when independent of physical limitations, may serve as a specific prodromal marker of Alzheimer’s disease [40]. Regional epidemiological studies further substantiate these patterns. For instance, within the Yi ethnic older persons population of Yunnan Province, each unit decline in IADL performance corresponds to a significantly elevated risk of cognitive impairment [38].
At the neural mechanism level, autonomic nerve dysfunction warrants particular emphasis as a potential early biomarker for neurodegenerative disorders, including Alzheimer's disease (AD) [41]. This dysfunction initiates a multi-system cascade impairing activities of daily living (ADL) by disrupting critical physiological processes such as cardiovascular homeostasis, gastrointestinal absorption, and urogenital regulation [42].
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Notably, beyond conventional risk factors, our investigation revealed that regional health behavior patterns exert a disproportionate influence on ADL trajectories. Epidemiological data indicate that over half of the older persons participants reported brushing their teeth no more than once daily, with nocturnal toothbrushing rates falling markedly below recommended hygiene standards. Such suboptimal oral care practices not only elevate cardiovascular risk through systemic inflammation [43] but also instigate a detrimental cycle of ADL decline via secondary complications. Specifically, dental caries and periodontal pathologies impair masticatory efficiency and nutritional intake, thereby exacerbating functional deterioration [44].
This longitudinal study revealed that older persons individuals with sleep disorders exhibit a 23% elevated risk of activities of daily living (ADL) impairment compared to their counterparts with normative sleep patterns. Chronic sleep deprivation manifestations - including prolonged sleep latency and frequent nocturnal awakenings-induce hyperactivation of the hypothalamic-pituitary-adrenal (HPA) axis, resulting in a 27.3% elevation in peak cortisol concentrations and subsequent neuroendocrine dysregulation [45]. The resultant chronic stress state precipitates prefrontal cortex neurotoxicity, critically impairing executive functions essential for complex ADL performance, such as medication management and meal preparation [46]. Concurrent with cognitive effects, sleep deprivation induces mitochondrial dysfunction in skeletal muscle tissue, disrupting adenosine triphosphate (ATP) synthesis pathways. This metabolic compromise reduces muscle endurance capacity and diminishes articular flexibility, clinically manifesting as gait velocity reduction and impaired postural stability - foundational deficits directly compromising basic ADL competencies, including ambulation and personal care [45]. Notably, our path analysis identified a triadic pathological relationship between circadian rhythm disruption, cognitive impairment, and autonomic dysfunction. Among sleep-disordered participants, 68.7% demonstrated concurrent mild cognitive impairment and reduced heart rate variability, with inflammatory markers mediating accelerated sarcopenia progression and degenerative joint changes [47]. These multifactorial mechanisms appear particularly exacerbated in older persons Gelao ethnic populations. Geographically specific factors, including nocturnal hypothermia and elevated ambient humidity in mountainous regions, correlate with increased sleep fragmentation. Moreover, circadian misalignment secondary to traditional agricultural practices significantly disrupts suprachiasmatic nucleus-mediated sleep-wake regulation [48].
Limitations
Firstly, although the cross-sectional study design can reveal the variable associations, it cannot establish the causal relationship sequence among chronic diseases, cognitive function, and impaired ADL. In the future, the causal paths need to be verified through cohort studies. Secondly, although the research was strictly limited to the concentrated areas of the Gelao ethnic group to enhance cultural specificity, the geographical concentration of the samples might limit the validity of the conclusion to other ethnic groups or geographical regions. Subsequent studies need to include multi-ethnic control groups for verification. Furthermore, key variables such as health behaviors and disease history rely on self-reports of the subjects, which may introduce recall bias, especially when the insufficient primary medical resources may lead to missed diagnoses of chronic diseases. Subsequent studies should combine medical record verification and biomarker detection to improve data accuracy.
Conclusion
Based on a cross-sectional survey of the older persons of the Gelao ethnic group, this study found that their ADL impairment rate (27.51%) was slightly higher than the national average level and was interwoven and affected by multiple risk factors. Advanced age, sleep disorders, polymedication, abnormal autonomic nerve function, and cognitive impairment constitute independent risk factors, while educational level, economic status, and healthy behaviors play a significant protective role. Given the observational characteristics and regional specificity of this study, the research conclusion not only provides a quantitative basis for identifying the older persons health vulnerable population of the Gelao ethnic group, but also suggests that intervention needs to be advanced from the following dimensions. From the policy perspective, it is suggested that the government formulate a coordinated intervention policy of "health - education - economy" for ethnic minority areas in the central and western regions. Through special fiscal transfer payments, increase the coverage rate of age-friendly facilities, and rely on the "rural revitalization" strategy to improve the allocation of basic education resources, thereby enhancing the health literacy of the older persons population from the root.
Ethics statements
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This study was approved by the Ethics Committee of the First People's Hospital of Zunyi City (No. (2022) -1-25), and screening was conducted with written informed consent from the subjects or guardians. The clinical trial was registered at the Chinese Clinical Trial Registry (ChiCTR2400094722, http://www.chictr.org.cn/), with a registration date of 2024-12-26.
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Data Availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Patient and Public Involvement
It was not appropriate or possible to involve patients or the public in the design, or conduct, or reporting, or dissemination plans of our research.
Consent for publication
All data used in this study were anonymized during data collection and analysis.
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The manuscript does not contain any identifying images, personal details (e.g., name, hospital number, specific address), or clinical information that could compromise the anonymity of the participants.
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Therefore, "Consent for publication" is Not Applicable.
Acknowledgments
We would like to thank Zhang Hongxia, Chen Xiaokang, Zhao Bin, Li Xumeng, Li Jiezhen, Lin Yu, Wang Yikun, Hong Yi, Lin Chen, Wang Song, Zhang Yucheng, Chen Zhen, Wang Xubin, Yan Yu, Mei Pan, Zhang Rui, Zhang Meixue, Luo Xi, Leng Sha, Han Ran, Luo Jiao, Zhang Yuhong, Bai Yunyun, Han Yi and others participated in the field investigation, data collection and management. At the same time, we would like to express our gratitude to the CPPCC of People's Government of Wuchuan Gelao and Miao Autonomous County, Daozhen Miao and Gelao Autonomous County National Health Commission, Daozhen Gelao and Miao Autonomous County Hospital of Traditional Chinese Medicine, and the Zunyi Municipal CPPCC for their support.
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Author Contribution
Pan Cai, Xiaoling Zhao, Xiaoli Yuan, Dan Meng: Conceptualization, Methodology, Software. Pan Cai, Xiaoling Zhao, Dan Meng, Xiaoli Yuan: Data curation, Writing- Original draft preparation. Mei He, Yuhong Long, Yan Zhang, Xia Wu, Xiaoling Zhao, Xingqiang Cheng, Liangfeng Wang: Investigation. Xiaoli Yuan, Pan Cai: Supervision. Pan Cai: Funding acquisition, Xiaoli Yuan, Dan Meng: Validation. Dan Meng, Pan Cai, Xiaoli Yuan, Xiaoling Zhao:Writing- Reviewing and Editing.
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Funding
This work was supported by the Science and Technology Plan Project of Zunyi City, and the project name is "Study on the Prevalence and Influencing Factors of Senile Dementia among the Gelao Ethnic Group in China" [Funding Number: Zunshi Kehe HZzi (2024) No. 6].
Competing interests:
Competing interest statement: All authors have completed the Unified Competing Interest form (available on request from the corresponding author) and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years, no other relationships or activities that could appear to have influenced the submitted work.
Transparency statement
The lead author (the manuscript’s guarantor) affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that any discrepancies from the study as planned (and, if relevant, registered) have been explained.
Electronic Supplementary Material
Below is the link to the electronic supplementary material
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