Research on a Moderated Mediation Model of the Psychological Impact of Workplace Violence Against Health Workers
Ruotong Zhang 1
Jianhua Chen 2
Anna Vinnikova 1
Yong Li 3
Wei Sang 4
Weina Xu 5,6✉ Email
Qian Yang 1✉ Email
1 School of Public Health and the department of General Medicine, the Fourth Affiliated Hospital, and International School of Medicine, School of Medicine Zhejiang University, Zhejiang University 310058 Hangzhou CN China
2 Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine Zhejiang University Hangzhou China
3 Department of Cardiology the First People’s Hospital of Yuhang District 311100 Hangzhou Zhejiang China
4
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Faculty of Health and Wellness City University of Macau 999078 Macau SAR China
5 Department of General Medicine, Fourth Affiliated Hospital Zhejiang University School of Medicine No. N1, Shangcheng Avenue 322000 Yiwu City Zhejiang Province China
6 Center for Regeneration and Aging Medicine International Institutes of Medicine, Zhejiang University No. 1575, Chouzhou North Road 322000 Yiwu City Zhejiang Province China
Ruotong Zhang 1 †, Jianhua Chen2 †, Anna Vinnikova1, Yong Li 3 ,Wei Sang 4, Weina Xu5, 6*, Qian Yang 1*
1 School of Public Health and the department of General Medicine, the Fourth Affiliated Hospital, and International School of Medicine., Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310058, CN, China.
2 Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
3 Department of Cardiology, the First People’s Hospital of Yuhang District, Hangzhou 311100, Zhejiang, China.
4 Faculty of Health and Wellness, City University of Macau, 999078, Macau SAR, China
5 Department of General Medicine, Fourth Affiliated Hospital, Zhejiang University School of Medicine, No. N1, Shangcheng Avenue, Yiwu City, Zhejiang Province, China, 322000.
6 Center for Regeneration and Aging Medicine, International Institutes of Medicine, Zhejiang University, No. 1575, Chouzhou North Road, Yiwu City, Zhejiang Province, China, 322000.
These authors share first authorship
* Correspondence :Qian Yang; chianyoung@zju.edu.cn; Weina Xu: 8020231@zju.edu.cn.
Abstract
Background
Workplace violence against healthcare workers is a common occupational hazard with serious psychological consequences. However, the organizational and cultural pathways through which workplace violence against health workers affects mental health remain insufficiently understood. This study examined whether perceived forbearance culture mediates the association between WPV and mental health, and whether job demands moderate this effect.
Methods
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A cross-sectional survey was conducted among 2,976 healthcare workers from multiple levels of healthcare facilities across eastern, central, and western China. WPV was assessed with a dichotomous item, forbearance culture with a single Likert-type item, and job demands with multidimensional indicators. Psychological outcomes were measured using the GAD-7 and PHQ-9 scales. Moderated mediation analyses were performed using PROCESS Model 14, controlling for demographic and occupational covariates.
Results
WPV was reported by 20.1% of participants and was associated with higher anxiety (β1 = 2.09, p < 0.001) and depression (β4 = 2.66, p < 0.001). Forbearance culture partially mediated these associations, with significant indirect effects for anxiety (Effect = 0.55, 95% CI: 0.42–0.70) and depression (Effect = 0.69, 95% CI: 0.53–0.87). Job demands amplified the adverse effects of forbearance culture, with the moderating effect being stronger for depressive symptoms.
Conclusion
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WPV harms healthcare workers’ mental health both directly and indirectly through a workplace culture that discourages reporting and normalizes violence. Interventions aimed at improving organizational culture and managing workload are essential for mitigating psychological harm and promoting safer clinical environments.
Keywords:
workplace violence
healthcare workers
organizational culture
forbearance culture
mental health
moderated mediation
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Introduction
Workplace violence against health workers is defined as any incident in which health workers are abused, intimidated, or physically attacked in relation to their work, It poses explicit or implicit threats to their safety, well-being, or health and has become a critical occupational and public-health concern worldwide1,2. Influenced by the uneven distribution of medical resources, strained doctor–patient relationships, and social prejudice3, healthcare workers experience substantially higher risks of verbal, threatening, and physical assaults. A systematic review involving 331,544 participants showed that the overall exposure rate to workplace violence against health workers was 61.9%4. Despite its frequency and harm, workplace violence against health workers remains underreported and in adequately addressed5. Studies repeatedly document low formal reporting and widespread reliance on “forbearance and move on” response6,7, suggesting not only deficiencies in institutional protection but also deeper organizational norms that shape how hospitals respond to violence.
According to Schein’s model of organizational culture (1992, p. 12 )8, culture represents “a pattern of shared basic assumptions learned by a group as it solves its problems of external adaptation and internal integration.” In healthcare institutions, workplace violence, as an abnormal but frequently occurring high-risk situation, its handling methods can often more clearly reflect the deep cultural orientation of the organization9. Therefore, the "tolerance or intolerance" orientation that emerged in response to the violent incidents can be regarded as the specific manifestation of hospital culture in this particular situation. Building on this framework, we focus on a specific cultural mechanism: forbearance culture, defined as the perceived organizational tolerance, downplaying, or normalization of violence. Evidence across countries indicates that unsupportive or punitive climates, ambiguous reporting procedures, and low expectations of managerial follow-up deter reporting and increase psychological burden10 Conversely, supportive and justice-oriented cultures can buffer the individual consequences of workplace violence against health workers by validating incidents, lowering reporting costs, and mobilizing organizational resources.9,11.
Previous research on the psychological effects of workplace violence against health workers has primarily focused on individual factors (e.g., personality traits, coping style, resilience) and institutional measures (e.g., security systems, reporting mechanisms)12,13.These studies have improved understanding of post-violence psychological responses, however, the organizational-cultural pathways through which workplace violence against health workers affects mental health remain understudied, particularly the role of perceived forbearance culture as a mechanism linking violence exposure to anxiety, depression, and burnout. Hospital culture functions as a deep organizational mechanism that shapes how individuals and institutions interact and, consequently, how psychological outcomes develop after exposure to workplace violence. Following high-impact incidents, healthcare workers reinterpret the event and evaluate the organization’s attitude. Managerial responses and past incident handling inform employees’ perceptions of the organizational climate, which in turn influence their psychological reactions14. Accordingly, we propose a meso-level account in which hospital culture shapes post-violence coping and recovery. When forbearance norms are salient, employees are more likely to adopt low-cost compliance strategies (e.g., silence, avoidance, non-reporting), thereby reducing access to organizational support and prolonging threat appraisal, which in turn deteriorates mental health. This yields our first two hypotheses:
H1: Exposure to workplace violence against health workers will significantly impair health workers’ mental health.
H2: Perceived forbearance culture mediates the association between workplace violence against health workers and health workers’ mental health.
We further argue that this cultural mechanism has a boundary condition: job demands. Drawing on the Job Demands–Resources (JD-R) model and Conservation of Resources (COR) theory, high-demand contexts (long hours, frequent night shifts, dense patient throughput, rapid task cadence) accelerate the depletion of time, attention, and emotion-regulation resources, while increasing the opportunity costs of taking corrective action15,16. Under such conditions, a forbearance culture operates as a strong situation: by raising the perceived costs of reporting and lowering expected returns (e.g., little managerial follow-up, potential social sanctions), it nudges staff toward “resource-concerving” choices, such as silence rather than. escalation. This demands × norms interaction reduces the likelihood of restorative behaviors (e.g., formal reporting, seeking support), and intensifies the translation of cultural forbearance into anxiety, emotional exhaustion, and depressive symptoms. Based on the above evidence, this study proposes the following hypotheses:
H3: Job demands moderates the relationship between forbearance culture and mental health, such that the adverse effects of forbearance culture are stronger under high work-intensity conditions.
2.Method
2.1 Sample Size
This study adopted the commonly used stratified sampling method for sample size estimation in cross-sectional surveys. Sample size was estimated using the single-proportion formula17:
Click here to download actual image
(1)
Based on a pilot survey and previous findings on the WPV prevalence (0.64), δ was set at 0.013. The initial calculated sample size was n1 = 2672. Considering a 10% attrition rate, the required sample size was calculated to be 2,968. A nationwide cross-sectional survey was conducted, targeting 4,168 healthcare workers across multiple hospitals in China. In total, 2,996 questionnaires were returned, with 2,976 being valid for analysis yielding an overall response rate of 71.8% and a completion rate of 99.3% among the opened surveys.
2.2 Procedure
A combination of purposive and stratified random sampling was adopted used. Three provinces in China were purposively selected to represent different levels of regional economic development: Zhejiang (eastern region; GDP = 8.077 trillion CNY in 2022), Henan (central region; GDP = 5.8807 trillion CNY in 2021), and Guizhou (western region; GDP = 2.0579 trillion CNY in 2021). Within each province, hospitals were stratified by administrative level and selected randomly. The sample size for each of the three provinces was approximately 1,000 cases, with each province having approximately 333 cases from first, second and third-level medical institutions. Data collection took place between September 29, 2022, and January 18, 2023. Two to three local coordinators in each hospital distributed an online survey via WeChat and DingTalk, applications commonly used in Chinese workplaces. The participants were full-time healthcare workers, including physicians, nurses, and other clinical staff members.
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Participation was voluntary and anonymous with electronic informed consent obtained before access to the questionnaire.
2.3 Inclusion and Exclusion Criteria
The exclusion criteria were: (1) Participants were eligible if they were licensed physicians, nurses or other healthcare professionals with valid qualification certificates aged 18–65 who were actively employed in a medical institution during the survey period and provided informed consent to participate in the study. Individuals were excluded if they were on leave for more than two consecutive weeks or worked in hospital administrative (non-clinical) positions.
2.4 Measures
Data were collected through a self-administered online questionnaire. Sociodemographic variables included gender, age, marital status, work region, type of medical institution, professional title, and education level. Workplace violence against health workers (WPV) was assessed with a single dichotomous item asking participants whether they have experiences workplace violence or threats of violence (0 = No, 1 = Yes). Forbearance or “silencing” culture was measured with a single Likert-type item “To what extent does your hospital encourage forbearance toward workplace violence against health workers?” (1 = Strongly discourage to 5 = Strongly encourage). In line with the Job Demands–Resources (JD-R) model and Conservation of Resources (COR) theory, job demands were conceptualized as the overall physical and psychological effort required to perform one’s job. This construct was assessed using four items capturing different facets of job demands: (1) perceived daily work intensity (“How would you rate your daily work intensity?”; 1 = Very low, 5 = Very high), (2) average weekly working hours (1 = < 40 h/week, 2 = 40–50 h/week, 3 = 50–60 h/week, 4 = 60–70 h/week ,5 = above 70 h/week), (3) frequency of night shifts (1 = never, 2 = 1–6/half year, 3 = 2–4/month, 4 = 2-3nights/week, 5 = above 3 nights/week), and (4) work intensity during participation in COVID-19-related duties (1 = Very low, 5 = Very high). Psychological health were measured using standardized screening tools. Anxiety was assessed using the Generalized Anxiety Disorder Scale (GAD-7) and depression with the Patient Health Questionnaire (PHQ-9). Both are validated Chinese-language versions widely used in healthcare settings. Higher scores indicate greater symptom severity, with established cut points defining minimal, mild, moderate, and severe levels. The Cronbach’s α coefficient for the GAD-7 was 0.944, and 0.938 for the PHQ-9, demonstrating good internal consistency.
2.5 Data Analysis
Descriptive statistics summarized participant characteristics and average anxiety and depression scores across gender, region, age, and type of medical institution.
Moderated mediation analyses were conducted using PROCESS macro version 4.2 for SPSS (Hayes, 2022; Model 14). In this model, forbearance culture (M) mediated the relationship between workplace violence against health workers (X) and psychological health outcomes (Y), while job demands (W) moderated the M–Y path. Gender, age, type of medical institution, and region were included as covariates. All continuous variables were mean-centered prior to analysis. Indirect effects were estimated using 5,000 bias-corrected bootstrap samples with 95% confidence intervals. Conditional indirect effects were examined at low (–1 SD) and high (+ 1 SD) levels of job demands. All continuous predictors were mean-centered prior to creating interaction terms to reduce multi collinearity.
During the questionnaire design stage, an electronic survey format was adopted, and all items were set as mandatory to reduce the possibility of missing responses. Most questions were multiple-choice, requiring completion before submission, which helped minimize missing data. After data collection, two researchers independently reviewed all responses. Questionnaires with clearly erroneous or inconsistent answers were excluded from the final dataset. Consequently, no incomplete data were included in the analytic sample.
3. Results
3.1 Demographic and Descriptive Statistics
A total of 2,976 healthcare workers completed the survey, representing a response rate of 71.8%. The sample was predominantly female (68.9%) with a mean age of 35.69 years (SD = 9.21). The mean anxiety score (GAD-7) was 13.97 (SD = 4.94), and the mean depression score (PHQ-9) was 17.00 (SD = 5.79), indicating moderate-to-high level of both anxiety and depression. Participants were distributed across three provinces: 45.7% of respondents were from Zhejiang Province, 30.3% from Henan, and 24.0% from Guizhou. Of the respondents, 77% (n = 2,292) were doctors and nurses. Healthcare workers were recruited from hospitals and primary healthcare institutions in more than 100 counties and districts. This included provincial-level (17.9%), municipal-level (19.2%), county-level hospitals (21.1%), community health centers (13.0%), township health centers (23.1%), and other institutions (5.8%).
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Most participants held a master's degree or above (71.7%), which may have contributed to the accuracy and quality of their responses. Regarding workplace violence against health workers exposure, 20.1% of participants reported having personally experienced violence in the healthcare setting. With respect to perceptions of workplace culture, 33.9% of respondents reported that their hospital discouraged forbearance toward workplace violence, while 32.9% held a neutral view, suggesting a mix of discouragement and neutrality within organizational cultures regarding the forbearance of violence. From another perspective, the organization’s stance on forbearance toward workplace violence appears insufficiently articulated or consistently comminicated, making it difficult for employees to form an accurate perception of the prevailing cultural norms, as shown in Table 1.
Table 1
Characteristics of participants (n = 2976)
Characteristics
n (%) / Mean ± SD
GAD-7 score
13.97 ± 4.94
PHQ-9 score
17.00 ± 5.79
Age (years)
35.69 ± 9.21
< 25
286 (9.6)
25–34
1195 (40.2)
35–44
944 (31.7)
45–54
477 (16.0)
≥ 55
74 (2.5)
Province
 
Zhejiang
1359 (45.7)
Henan
903 (30.3)
Guizhou
714 (24.0)
Gender
 
Male
927 (31.1)
Female
2049 (68.9)
Marital status
 
Married
2124 (71.4)
Single
852 (28.6)
Professional title
 
Junior
1328 (44.6)
Intermediate
1084 (36.4)
Senior
564 (19.0)
Level of facility
 
Township health center
688 (23.1)
Community health service center
386 (13.0)
County-level hospital
627 (21.1)
Prefecture-level hospital
570 (19.2)
Provincial hospital
534 (17.9)
Private hospital
88 (3.0)
Other
83 (2.8)
Educational level
 
Middle school or below
10 (0.3)
High school / technical secondary school
174 (5.8)
College / bachelor’s degree
657 (22.1)
Master’s degree or above
2135 (71.7)
Type of health worker
 
Doctor
1486 (49.9)
Nurse
806 (27.1)
Laboratory staff
199 (6.7)
Other
485 (16.3)
Daily work hours
 
Below 40 h/week,
577(19.4)
40–50 h/week
1098(36.9)
50–60 h/week
530(17.8)
60–70 h/week
473(15.9)
above 70 h/week
298(10)
Daily work intensity
 
Very low
9(0.3)
Low
76(2.6)
Neutral
1505(50.6)
High
1090(36.6)
Very high
296(9.9)
Daily night shifts
 
never
282(9.5)
1–6 per half year
992(33.3)
2–4 per month,
750(25.2)
2–3 nights per week
355(11.9)
5 = > 3 nights per week
597(20.1)
Work intensity during COVID-19
 
Very low
150(5)
Low
498(16.7)
Neutral
1274(42.8)
High
783(26.3)
Very high
271(9.1)
Experience of workplace violence against health workers
 
Yes
599 (20.1)
No
2377 (79.9)
Hospital forbearance culture toward violence
 
Strongly discourage
436 (14.7)
Discourage
1009 (33.9)
Neutral
978 (32.9)
Encourage
389 (13.1)
Strongly encourage
164 (5.5)
<Insert Table 1 here>
3.2 Differences in Anxiety and Depression Across Demographic and Work Characteristics
Significant differences in anxiety and depression symptoms were observed across several demographic and occupational factors (Table 2). Younger healthcare workers reported higher GAD-7 and PHQ-9 scores than older ones, suggesting greater psychological vulnerability among early-career staff. Participants from Henan Province showed higher symptom levels than those from Zhejiang and Guizhou, possibly reflecting regional disparities in healthcare workload and resources.
Table 2
Comparison of GAD-7 and PHQ-9 scores across demographic groups
Variable
Group
GAD-7
(M ± SD)
t/F (p)
PHQ-9
(M ± SD)
t/F (p)
Gender
Male
14.14 ± 5.14
t = 1.38
(p = 0.208)
17.22 ± 6.00
t = 1.26
(p = 0.168)
 
Female
13.90 ± 4.84
16.90 ± 5.69
Age (years)
< 25
12.80 ± 4.85
F = 9.537
(p < 0.001)
15.98 ± 5.75
F = 10.184
(p < 0.001)
 
25–34
14.21 ± 4.93
17.47 ± 6.07
 
35–44
14.38 ± 4.93
17.30 ± 5.48
 
45–54
13.54 ± 4.90
16.23 ± 5.62
 
≥ 55
12.27 ± 4.52
14.59 ± 4.80
Province
Zhejiang
13.36 ± 4.59
F = 36.817 (p < 0.001)
16.44 ± 5.45
F = 18.420
(p < 0.001)
 
Henan
15.12 ± 5.33
17.93 ± 6.10
 
Guizhou
13.69 ± 4.81
16.90 ± 5.87
ProfessionalTitle
Junior
13.48 ± 5.027
F = 12.350,
(p = 0.000)
16.58 ± 5.995
F = 9.333, (p = 0.000)
 
Intermediate
14.41 ± 4.88
17.59 ± 5.712
 
Senior
14.29 ± 4.722
16.87 ± 5.346
Type of health workers
Doctor
14.16 ± 4.94
F = 2.810, (p = 0.038)
17.17 ± 5.76
F = 2.874, (p = 0.035)
 
Nurse
14 ± 4.91
17.17 ± 5.98
 
Laboratory staff
13.36 ± 4.97
16.26 ± 5.86
 
Other
13.58 ± 4.9
16.52 ± 5.49
Marital status
Married
14.12 ± 4.97
t=-0.11, (p = 0.916)
17 ± 5.70
t = 2.58, (p = 0.010)
 
Single
13.6 ± 4.84
17.02 ± 6.01
Level of facility
Township health center
13.63 ± 5.11
F = 4.050
(p = 0.003)
16.85 ± 5.96
F = 3.369
(p = 0.009)
 
Community health service center
13.36 ± 4.65
16.23 ± 5.60
 
County-level hospital
14.09 ± 4.94
17.05 ± 5.75
 
provincial- and municipal-level hospitals
14.35 ± 4.93
17.40 ± 5.72
 
Others
13.87 ± 4.69
16.62 ± 5.95
Daily work hours
Below 40 h/week,
12.51 ± 4.59
F = 39.216
(p = 0.000)
15.62 ± 5.42
F = 28.616 (p = 0.000)
 
40–50 h/week
13.34 ± 4.36
16.34 ± 5.12
 
50–60 h/week
14.91 ± 5.00
17.76 ± 5.80
 
60–70 h/week
15.06 ± 5.02
18.09 ± 5.87
 
above 70 h/week
15.74 ± 6.01
19.04 ± 7.41
Daily work intensity
Very low
14.44 ± 6.44
F = 69.687
(p = 0.000)
15.33 ± 6.38
F = 54.467
(p = 0.000)
 
Low
11.99 ± 4.53
15.16 ± 4.91
 
Neutral
12.86 ± 4.29
15.86 ± 5.04
 
High
14.71 ± 4.87
17.73 ± 5.74
 
Very high
17.39 ± 6.05
20.66 ± 7.53
Daily night shifts
never
13.08 ± 4.65
F = 12.094
(p = 0.000)
16.06 ± 5.62
F = 13.300
(p = 0.000)
 
1–6/half year
13.96 ± 4.65
16.73 ± 5.33
 
2–4/month,
13.59 ± 4.87
16.46 ± 5.48
 
2-3nights/week
14.53 ± 4.90
17.69 ± 5.81
 
5 = above 3 nights/week
14.94 ± 5.71
18.36 ± 6.84
Work intensity during COVID-19
Very low
13.75 ± 5.24
F = 18.335
(p = 0.000)
16.81 ± 6.05
F = 19.305
(p = 0.000)
 
Low
13.42 ± 4.45
16.13 ± 4.83
 
Neutral
13.48 ± 4.50
16.44 ± 5.36
 
High
14.47 ± 5.12
17.75 ± 6.03
 
Very high
15.97 ± 6.24
19.2 ± 7.51
Educational
level
Middle school or below
10.7 ± 4.62
F = 8.462, (p = 0.000)
13.9 ± 5.67
F = 9.532, (p = 0.000)
 
High school/ technical secondary school
12.78 ± 5.30
15.24 ± 5.66
 
College:/ bachelor's degree
13.53 ± 5.07
16.56 ± 5.96
 
Master's degree or above
14.22 ± 4.84
17.3 ± 5.71
Experience of workplace violence
Yes
16.2 ± 5.09
t=-12.694, (p = 0.000)
19.71 ± 6.25
t=-13.162, (p = 0.000)
No
13.41 ± 4.74
16.32 ± 5.46
Hospital forbearance culture toward violence
Strongly discourage
12.23 ± 4.77
F = 50.618, (p = 0.000)
14.78 ± 5.30
F = 58.298, (p = 0.000)
Discourage
13.08 ± 4.29
15.86 ± 4.94
Neutral
14.59 ± 4.78
17.9 ± 5.60
Encourage
15.63 ± 5.1
18.89 ± 6.10
Strongly encourage
16.48 ± 6.55
20.13 ± 8.03
Note: Data are presented as mean ± SD. t test was used for gender and marital status comparisons, and one-way ANOVA was used for comparisons across age, province, title, type of health workers, level of facility and educational level.
Anxiety and depression scores increased with longer working hours, higher daily work intensity, and more frequent night shifts, indicating that excessive workload and insufficient rest were major stressors. Those who reported higher work intensity during the COVID-19 period also had significantly higher mental health symptom scores.
Healthcare workers who had experienced workplace violence showed markedly higher anxiety and depression levels than those without such experiences, highlighting the psychological toll of violence exposure. Similarly, greater perceived forbearance of violence within hospital culture was associated with worse mental health outcomes, suggesting that organizational norms may play a critical role in shaping staff well-being.
Overall, these findings indicate that both individual and organizational factors jointly contribute to the psychological burden among healthcare workers, also point to the need for further examination of how these factors affect workplace violence against healthcare workers and mental health, as shown in Table 2.
<Insert Table 2 here>
3.3 Mediating Effect of Perceived Forbearance Culture
A series of mediation analyses (Model 4 in PROCESS) were conducted to examine whether perceived forbearance culture mediated the association between workplace violence against health workers and health workers’ mental health outcomes, including anxiety (GAD-7) and depression (PHQ-9), while controlling for gender, age, marital status, region, profession, and title.
Results indicated that workplace violence significantly predicted higher levels of perceived forbearance culture (β2 = 0.58, p < 0.001). In turn, perceived forbearance culture was positively associated with both anxiety (β3 = 0.95, p < 0.001) and depression (β6 = 1.18, p < 0.001). The direct effects of workplace violence against health workers on anxiety (β1 = 2.09, p < .001) and depression (β4 = 2.66, p < 0.001) remained significant after accounting for the mediator, suggesting partial mediation. Moreover, the indirect effects of workplace violence against health workers on anxiety (Effect = 0.552, 95% CI [0.417, 0.701]) and depression (Effect = 0.691, 95% CI [0.528, 0.865]) through perceived forbearance culture were both statistically significant.
These findings demonstrate that workplace violence against health workers exerts both direct and indirect influences on healthcare workers’ mental health. Specifically, exposure to workplace violence against health workers not only leads to elevated anxiety and depressive symptoms directly but also indirectly exacerbates these symptoms by reinforcing the perception of a forbearance culture within healthcare institutions. Healthcare workers who experienced more workplace violence were more likely to perceive a hospital atmosphere that encourages tolerance and endurance, and this perception, in turn, further heightened their anxiety levels and depression levels. The mediating effect was more pronounced for depressive symptoms than for anxiety, suggesting that the internalization of forbearance norms may lead to more enduring emotional distress and hopelessness rather than transient anxiety responses. One possible explanation is that forbearance culture encourages emotional suppression and discourages help-seeking, which may intensify feelings of helplessness and emotional exhaustion over time—core features of depression. In contrast, anxiety may reflect a more immediate stress response to violent incidents that is less shaped by long-term cultural expectations.
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Taken together, these results highlight the psychological costs of a prevailing forbearance culture in healthcare settings, underscoring the need to challenge institutional norms that valorize endurance and silence in the face of workplace violence against health workers (Fig. 1 and Fig. 2).
Figure 1 Mediation Model of the Relationship between Violence and Anxiety
<Insert Fig. 1 here>
Click here to Correct
Note
Dependent variable: Anxiety.
***: p < 0.001,**:p < 0.01,*:p < 0.05;Covariate(s)༚gender, age, province, professional title, type of health worker, marital status, level of facility, educational level.
Figure 2 Mediation Model of the Relationship between Violence and Depression
<Insert Fig. 2 here>
Click here to Correct
Note
Dependent variable: Depression.
***: p < 0.001,**:p < 0.01,*:p < 0.05;Covariate(s)༚gender, age, province, professional title, type of health worker, marital status, level of facility, educational level.
To further examine whether job demands moderate the effect of perceived forbearance culture on health workers’ mental health, daily work intensity, working hours, and night shifts were tested as potential moderators.
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When anxiety (GAD-7) was the dependent variable, neither daily work intensity nor working hours showed significant moderating effects under routine (non-pandemic) conditions, though a trend suggested that higher job demands might strengthen the adverse impact of forbearance culture on anxiety. During the COVID-19 period, however, the interaction between perceived forbearance culture and daily work intensity reached statistical significance (βintensity epi × forbearance = 0.27, p = 0.009). The conditional indirect effects increased across levels of work intensity (low = 0.40, high = 0.64), indicating that higher work intensity amplified the adverse indirect effect of perceived forbearance culture on anxiety (Fig. 3).
Figure 3. Interaction between perceived forbearance culture and work intensity on anxiety (GAD-7) during the COVID-19 period
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When depression (PHQ-9) was the dependent variable, the results were broadly consistent but statistically stronger. Apart from the work intensity during COVID-19, daily work intensity (βintensity × forbearance = 0.42 p = 0.011) (Fig. 4), working hours (βhours × forbearance = 0.28, p = 0.010) (Fig. 5) period exerted significant moderating effects, such that the negative association between perceived forbearance culture and depressive symptoms was more pronounced under conditions of higher work intensity and longer working hours. Night shift frequency did not show a significant moderating effect no matter in which model.
Figure 4. Interaction between perceived forbearance culture and daily work intensity on depression (PHQ-9)
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Fig. 5
Interaction between perceived forbearance culture and daily working hours on depression (PHQ-9)
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Taken together, these findings suggest that anxiety is more sensitive to acute, high-pressure situations—such as those during the pandemic—whereas depression is more strongly affected by chronic job demands. Persistent high workloads and long hours, coupled with a cultural norm of emotional suppression, may lead to cumulative resource depletion and sustained helplessness, which are more characteristic of depression. The non-significant findings for night shifts imply that overall workload and duration may be more relevant moderators than work scheduling alone.
Discussion
Overview
Workplace violence against health workers is a recognized occupational hazard in healthcare, yet the organizational mechanisms that translate exposure into psychological harm remain insufficiently understood. This study aimed to test three hypotheses: (H1) WPV is associated with impaired mental health among healthcare workers; (H2) a forbearance or “silencing” culture mediates this association; and (H3) job demands moderates this pathway. The results broadly supported all hypotheses: WPV was linked to poorer mental health both directly and indirectly through forbearance culture. The moderating role of work intensity was evident across multiple indicators, being statistically stronger for depression and observed for anxiety primarily under high-intensity conditions during the COVID-19 period.
Principal findings
Across this multi-province, cross-sectional sample of Chinese healthcare workers, exposure to workplace violence against health workers was associated with poorer mental health, confirming H1. The relationship affected mental health both directly and indirectly through perceived forbearance culture, consistent with H2. This mediating effect was particularly strong among participants reporting high work intensity, which supports H3. The moderation was observed in the link between forbearance culture and mental health rather than between workplace violence against health workers and culture. The moderating effects of work intensity were multi-dimensional: daily work intensity, long working hours, and COVID-period workload all strengthened the adverse impact of forbearance culture on mental health, whereas night-shift frequency showed no significant effect.
Workplace Violence against health workers and Mental Health
The confirmation of H1 aligns with extensive evidence positioning WPV as a psycho-social stressor that threatens worker well-being3,4,18. Recurrent exposure to verbal or physical aggression erodes psychological safety and triggers anxiety, depressive symptoms, and emotional exhaustion. This finding echoes prior research connecting WPV to burnout and turnover intention among healthcare professionals19, emphasizing that violence constitutes not merely a physical risk but a sustained psychological burden.
Mediating Role of Forbearance Culture
Consistent with H2, forbearance culture emerged as a key organizational mechanism linking WPV to mental-health outcomes. When employees perceive their institutions as tacitly tolerant of violence or discouraging of reporting, they experience reduced organizational justice and support, which intensifies distress beyond the violent incident itself 20,21.Such perceptions may generate feelings of neglect, unfairness, and helplessness, reinforcing avoidance and self-suppression rather than active coping. In hospital environments where informal norms implicitly emphasize “not making trouble” or “remaining silent,” healthcare workers may internalize these expectations, suppress emotional responses, and experience heightened anxiety, depression, and professional exhaustion. From the Job Demands–Resources (JD-R) and Conservation of Resources (COR) perspectives, such a culture represents a loss of psychological and social resources, compounding exposure stressors22. This study advances prior literature by identifying organizational silence as a meso-level mediator rather than a mere consequence of strain. Conversely, when organizations cultivate a culture of “safe reporting” and mutual support, the resulting sense of fairness and psychological safety may buffer the negative consequences of violence.
Moderating Role of Work Intensity
Support for H3 indicates that heavy workloads intensify vulnerability to the harmful influence of forbearance culture. The moderation was statistically significant for depression across several indicators of work intensity: daily workload, long working hours, and pandemic-period demands. While for anxiety, a significant interaction emerged only during the COVID-19 period. This pattern suggests that chronic job demands are more strongly linked to depressive symptoms, whereas acute high-pressure situations elicit greater anxiety responses. When job demands related factors are high, clinicians have fewer emotional and cognitive resources available to manage organizational stressors, increasing the risk of strain. By contrast, when workload is moderate, available resources and support can buffer these effects and sustain well-being 23,24. When healthcare workers operate under extreme workload while simultaneously perceiving that their organization encourages endurance and silence, they may lack the psychological resources needed to manage this compounded stress, thereby amplifying anxiety and depressive reactions. By contrast, when workloads are more manageable, individuals can draw on more emotional regulation and social support, diminishing the cultural risk. This pattern aligns with JD-R predictions that excessive demands combined with scarce resources precipitate exhaustion and distress25. Notably, moderation appeared only on the culture - mental-health segment, implying that workload does not alter perceptions of forbearance culture after violence but amplifies its psychological toll once established. The stronger mediation for depression suggests that prolonged exposure to workplace violence against health workers and a culture of silence cultivates cumulative depletion and hopelessness, consistent with the chronic nature of depressive symptoms frequently observed among physicians experiencing sustained occupational stress26. These findings imply that anxiety may be more reactive to short-term surges in workload, while depression reflects cumulative exposure to sustained job demands combined with cultural pressures to remain silent.
Limitations and Strengths
This investigation was embedded in a practice-oriented occupational health assessment designed for use in routine hospital settings rather than as a longitudinal clinical trial, which prioritizes ecological validity and real-world feasibility over experimental control. Data collection was coordinated by experienced teams using validated mental-health instruments, and sampling was stratified across eastern, central, and western regions of China to reflect variation in facilities and staffing patterns. In this sense, the study emphasizes real-world relevance and operational feasibility in environments where time and reporting burden are constrained.
The study design emphasized practical implementation and analytic efficiency rather than experimental control. Its cross-sectional format allows breadth of coverage across hospital systems while deferring causal inference to future longitudinal work. Brief, single-item indicators of forbearance culture and workload were intentionally selected to ensure completion in high-pressure clinical contexts, where survey fatigue and reporting barriers often compromise data quality. This concise structure enabled a consistent response rate and facilitated integration into routine occupational assessments. While multilevel modeling and more detailed taxonomies of violence could yield finer distinctions between organizational processes, the chosen approach prioritized scalability, comparability, and operational feasibility across diverse hospital settings21. The design thus reflects a deliberate trade-off: reduced measurement granularity in exchange for ecological validity and implementation potential within the realities of healthcare work.
The way variables were measured likely influenced the observed patterns. For example, using a single global measure of workplace-violence exposure broadened coverage but limited insight into specific incident types, and perceptions of organizational culture were examined at the individual rather than the unit or hospital level. These choices fit the study’s goal of producing findings that can be used in everyday practice. The focus was on pinpointing organizational factors that connect exposure and psychological outcomes. Simple, repeatable tools can still provide stable and meaningful data to guide action.
Overall, the study provides an ecologically valid, theory-anchored snapshot of how WPV relates to anxiety and depression through organizational culture under varying work intensities. The brevity and scalability of its measures enhance practical application for hospital leaders seeking to embed WPV monitoring within broader well-being initiatives, while the analytic framework offers a reproducible bridge from exposure recognition to organizational action. Nevertheless, results should be interpreted within the cultural and institutional context of Chinese healthcare systems, and replication in other national settings is warranted.
Implications for Practice and Policy.
Based on these findings, several organizational and policy actions are recommended: (1) Hospitals should establish and enforce zero-forbearance, non-punitive reporting systems for all forms of aggression, supported by transparent leadership accountability. (2) Reporting should be simplified and normalized through confidential, mobile-enabled tools that allow protected time and capture near-miss verbal incidents. (3) Institutions must standardize post-incident protocols, ensuring rapid debriefing, documented follow-through, and access to psychological first aid or employee-assistance services. (4) Administrators should treat workload as a safety variable by maintaining adequate staffing, setting shift-length limits, and integrating workload metrics into WPV monitoring dashboards. (5) Organizations need to assess and remediate silencing climate via periodic surveys on psychological safety, leader performance indicators linked to WPV response, and transparent unit-level action plans. (6) Finally, comprehensive prevention training and environmental controls, including de-escalation exercises, peer-support networks, panic alarms, and visible security in high-risk zones, should be institutionalized. Together, these measures address both the incident level (prevention and response) and the contextual level (culture and workload), the twin levers identified as pivotal for safeguarding healthcare workers’ mental health.
Future Research Directions.
Future studies could build on these findings by adopting designs that follow healthcare workers over time and draw on information from multiple sources. Broader and more refined measures of organizational culture and workload would allow a fuller understanding of how these factors influence mental health. It may also be useful to explore intervention approaches that strengthen reporting systems, promote fair and supportive workplace cultures, and address staffing or workload pressures. Comparative research across regions and healthcare settings could clarify whether these relationships hold in different organizational and cultural contexts.
Conclusions
In summary, WPV undermines clinicians’ mental health not only through direct exposure but through the organizational message that such violence must be endured. A forbearance culture mediates this relationship, and high workload exacerbates its harm. When organizations encourage timely reporting and visible managerial support, they can enhance psychological safety and resilience among staff. Health systems that cultivate non-punitive reporting climates, ensure consistent post-incident support, and proactively manage workload are best positioned to protect healthcare workers’ psychological well-being. By integrating violence prevention, supportive culture, and workload management, organizations can break the cycle of silence and strain, fostering a resilient workforce and safer patient care.
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Author Contribution
R.Z. was responsible for conceptualization, methodology development, and writing the original draft. J.C. contributed to data acquisition, investigation, and coordination of fieldwork. A.V. assisted with manuscript writing and language polishing. W.S. and Y.L. provided resource support, administrative coordination, and facilitated access to participating institutions. Q.Y. (corresponding author) oversaw supervision, project administration, validation, and final approval of the manuscript. W.X. contributed to overall project coordination and supported resource acquisition.All authors contributed to the study design, reviewed the manuscript, and approved the final version.
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Funding
This research was supported by the National Natural Science Foundation of China (72474191).
Ethics approval
and consent to prticipate
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The study was approved by the Ethics Committee of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Approval No. 2022 Research No. 0370).
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All procedures complied with ethical standards and the 1964 Declaration of Helsinki.
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Informed consent was obtained from all participants. Participation in the study was voluntary and anonymous.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Contributions
R.Z. was responsible for conceptualization, methodology development, and writing the original draft. J.C. contributed to data acquisition, investigation, and coordination of fieldwork. A.V. assisted with manuscript writing and language polishing. W.S. and Y.L. provided resource support, administrative coordination, and facilitated access to participating institutions. Q.Y. (corresponding author) oversaw supervision, project administration, validation, and final approval of the manuscript. W.X. contributed to overall project coordination and supported resource acquisition.
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All authors contributed to the study design, reviewed the manuscript, and approved the final version.
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