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ORIGINAL RESEARCH article

Front. Public Health, 17 November 2025

Sec. Occupational Health and Safety

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1672644

The impact of workplace psychological violence on clinical nurses' turnover intention: the mediating role of perceived stress


Lin Tan&#x;Lin Tan1Shouqi Zheng&#x;Shouqi Zheng2Xiaoli ZhongXiaoli Zhong1Ying HanYing Han2Lin XiaLin Xia2Yuting FanYuting Fan2Lin He
Lin He1*
  • 1Department of Nursing, Deyang People's Hospital, Deyang, China
  • 2School of Nursing, North Sichuan Medical College, Nanchong, China

Background: The global shortage of nurses has become a significant health emergency, and nurses' turnover intention is a key influencing factor, serving as an important predictor of actual turnover rates. However, studies integrating workplace psychological violence, perceived stress, and turnover intention in the same mediation model are still limited, so there is an urgent need to explore in depth the mediating effect of perceived stress between workplace psychological violence and turnover intention.

Objective: To examine the mediating effect of nurses' perceived stress on the relationship between workplace psychological violence and turnover intention among nurses in tertiary general hospitals in Southwest China.

Methods: Between October 2024 and March 2025, 798 nurses from nine tertiary general hospitals in southwest China were selected by a convenience sampling method for the study. A cross-sectional survey was conducted using the General Information Questionnaire, Turnover Intention Scale, Psychological Violence in the Workplace Scale, and Perceived Stress Scale. The mediating effect was examined using SPSS and PROCESS Model 4.

Results: Turnover intention was positively correlated with Workplace Psychological Violence (r = 0.364, P < 0.001) and with Perceived Stress (r = 0.423, P < 0.001), and Workplace Psychological Violence was positively correlated with Perceived Stress (r = 0.486, P < 0.001). Perceived stress showed a partial mediating effect in the influence of psychological violence in the workplace on turnover intention, with a mediating effect value of 0.129, and the mediating effect accounted for 36.96% of the total effect.

Conclusion: Perceived stress demonstrates a mediating effect between workplace psychological violence and turnover intention among nurses. Nursing managers can reduce perceived stress among nurses by decreasing workplace psychological violence, thus reducing nurses' turnover intention, improving nurses' job satisfaction and mental health, and promoting the stability and sustainable development of the nursing team.

1 Introduction

A new report from the International Council of Nurses (ICN) states that the global shortage of nurses should be recognized as a global health emergency (1). The global turnover rate of nurses ranged from 8 to 36.6%, with an overall turnover rate of 16%, with a significantly higher turnover rate in Asia (19%) than in North America (15%), which is mainly attributed to the differences in economic and cultural systems, different hospital management models, and varying degrees of nurse shortages among other regions (2). Another study yielded similar results, showing that Asian countries had the highest nursing turnover rate (20%), followed by North American countries (15%) and European countries (7%), further confirming the significant differences in nurse turnover rates between regions (3). Nurses' turnover intention is a key factor influencing the global nursing shortage and is an essential predictor of the actual turnover rate (4, 5). Turnover intention refers to an employee's behavioral intention or attitude toward leaving their organization or unit, a state of mind or tendency that precedes actual departure (6). Nurses leaving their jobs can negatively impact nurse staffing, nurse outcomes, and patient outcomes, ultimately decreasing the quality of care and harming patients, while also generating unnecessary healthcare expenditures (7, 8). It has also been shown that nurse staffing is associated with patient mortality and patient outcomes (9). Nurses' turnover intention is negatively correlated with nursing outcomes, and reducing nurses' turnover intention can lead to retention of nurses, which can further benefit patients in terms of various nursing outcomes (10).

Studies have shown that the higher the level of psychological violence experienced by nurses in the workplace, the higher the turnover intention (11, 12). Workplace psychological violence among nurses refers to any act of psychological violence that occurs in the workplace without physical contact, such as workplace bullying, verbal aggression, intimidation and threat (13). Chronic exposure to workplace psychological violence can lead to decreased job satisfaction, emotional exhaustion, and increased psychological distress among clinical nurses (14). Increased turnover intention is associated with experiencing adverse workplace events, high job stress, and high work-family conflict, and low turnover intention is related to good person-organization and person-group fit (15). Failure to address workplace psychological violence may exacerbate existing challenges in healthcare.

Stress is an essential factor that influences turnover intention (16). Stress, as one of the leading causes of physical and mental problems in healthcare workers and reduced productivity in healthcare organizations, negatively affects the quality of life and care for nurses, and the health harm it causes may jeopardize patient safety (17, 18). Perceived stress refers to the tension that arises from an individual's subjective cognitive appraisal of external environmental threats or stressful events (19). Yuan et al. have found that female healthcare workers generally have higher levels of perceived stress, which is a direct and positive predictor of their turnover intention (20). At the same time, there was also a significant positive correlation between perceived stress and violence (21).

Existing research indicates that nurses' turnover intentions are associated with psychological violence in the workplace and perceived stress, but the underlying mechanisms linking these three factors remain incompletely understood. The Job Demands-Resources Model (JD-R) (22) provides a crucial theoretical framework for understanding this complex relationship. This model describes job characteristics through two dimensions: job demands and job resources. Job demands refer to aspects of work that require sustained physical and mental effort, consuming individual energy. Job resources, conversely, are aspects of work that facilitate achieving job goals, reduce the costs of demands, or promote personal development (23). The core of the JD-R model lies in two process mechanisms: when job demands exceed personal resources, it activates a health-damaging process, leading to stress experiences and adverse work outcomes; conversely, sufficient job resources activate a motivational process, promoting positive work attitudes and behaviors (24). Based on this theoretical logic, when individuals face high job demands without adequate resources, they experience psychological strain and stress through a health-damaging process, affecting their work attitudes and behavioral intentions. There is still limited research that integrates workplace psychological violence, perceived stress, and turnover intention in the same mediational model. Therefore, this study proposes the hypothesis that perceived stress may mediate workplace psychological violence and turnover intention. Exploring the mediating mechanism of perceived stress between psychological violence and turnover intention not only contributes to a deeper understanding of the factors influencing nurses' turnover intention but also provides a reference for developing targeted interventions, which can alleviate the problem of clinical nurse shortage to some extent and improve the quality of healthcare services.

2 Objects and methods

2.1 Research design

A cross-sectional survey of clinical nurses in nine tertiary general hospitals in southwest China was conducted using convenience sampling from October 2024 to March 2025.

2.2 Participants

Inclusion criteria: Registered nurses employed in general hospitals in Southwest China; Engaged in clinical nursing for ≥6 months. Exclusion criteria; Nurses in continuing education, internship, rotation, or participating in standardized residency training; Those unable to participate due to leave of absence or temporary assignment elsewhere.

2.3 Sample size calculation

The required sample size was calculated using the formula for proportion estimation: n = u2 α/2π(1-π)/ δ2 where u represents the critical value from the standard normal distribution. At a 95% confidence level (two-sided), u = 1.96; π represents the proportion set at 42.42% based on the reported turnover intention rate among Chinese nurses (25); and δ represents the allowable error, set at 5%. Based on this formula, the calculated sample size was 376 participants. Accounting for a 20% invalid response rate, a minimum sample size of 470 participants was determined appropriate for this study.

2.4 Survey tools

2.4.1 General demographic questionnaire

A self-developed demographic questionnaire was used for data collection. The instrument was designed by the research team through a literature review and panel discussions to identify key variables relevant to the study population. The questionnaire covered demographic and work-related characteristics, including gender, age, marital status, having children or not, highest educational attainment, professional title, job position, type of employment, department, length of service in nursing, average daily working hours, monthly income, number of night shifts per month, and recent major life events.

2.4.2 Turnover intention scale

This scale was developed by Michaels and Spector in 1982 (26) and adapted into Chinese by scholars, including Li and Li (27), for assessing turnover intention. It is widely used among nursing populations (28, 29). The scale comprises three dimensions with six items: possibility of quitting (two items), motivation to find other jobs (two items), and possibility of obtaining other jobs (two items). Each item employs a 4-point Likert scale ranging from “never” to “often,” scored 1–4 points respectively. Total scores range from 6 to 24 points, with higher scores indicating stronger turnover intention. The scale demonstrates good reliability and validity, with an overall Cronbach's α coefficient of 0.773. In this study, the Cronbach's α coefficient for the scale was 0.831.

2.4.3 Workplace psychologically violent behaviors instrument

This scale was developed by Turkish scholars Dilek and Aytolan (30) in 2008 and subsequently translated and revised by Xu et al. (31). It is now widely used to measure the extent of psychological violence experienced by clinical nurses in the workplace (32, 33). The scale comprises 32 items across four dimensions: individual isolation work (10 items), attack on professional status (nine items), attack on personality (seven items), direct negative behaviors (six items). Using the Likert 6-point scoring method, a score of 0–5 from “never happened” to “always” is assigned. The total score is the sum of all 32 items, ranging from 0 to 160. Higher scores represent a higher frequency of workplace psychological violence. The overall Cronbach's α for the scale is 0.964, and the content validity index is 0.875, demonstrating good reliability and validity. In this study, the Cronbach's α coefficient was 0.975.

2.4.4 Perceived stress scale

This scale was developed by Cohen et al. (19) and adapted and revised for the Chinese context by Yang et al. (34) to measure nurses' perceived stress levels (35, 36). It comprises two dimensions with 14 items: sense of tension (seven items) and sense of losing control (seven items). The scale employs a 5-point Likert scale with response options ranging from “Never” to “Always.” Items are scored on a scale of 1–5 points, with some items reverse-scored The total score is the sum of all 14 items, ranging from 14 to 60 points, where a higher score indicates a greater level of perceived stress among nurses. The scale demonstrates good reliability and validity, with an overall Cronbach's α of 0.78 and item factor loadings ranging from 0.50 to 0.78. In this study, the Cronbach's α coefficient for the scale was 0.812.

2.5 Ethical considerations

The study was conducted following the Declaration of Helsinki and approved by the Ethics Committee of Deyang People's Hospital (Ethics No. 2024-08-025-K04). This study adheres to the principle of voluntary participation and implements informed consent through the Wenjuanxing online platform: an informed consent page is displayed before the questionnaire begins, detailing the research objectives, content, participant rights, data usage methods, and researcher contact information. Participants must actively check the consent box before proceeding to the formal questionnaire. Participants can refuse or withdraw from the study at any time without incurring any loss of benefits. This study employs an anonymous completion method and does not collect personally identifiable information. All raw data will be stored confidentially and accessible only to principal investigators.

2.6 Data collection

The researcher first contacted and obtained approval and support from the nursing department director of each hospital, and then screened for suitable study participants in strict accordance with the inclusion and exclusion criteria. Online data collection was conducted using the Wenjuanxing online survey platform, with each IP address restricted to one submission. All questions were designated as mandatory. To ensure data quality, two researchers independently reviewed completed questionnaires after collection, excluding invalid responses with abnormal completion times, patterns of consistent answers, or logical inconsistencies. A total of 880 questionnaires were distributed, with 798 valid responses ultimately collected, achieving a valid response rate of 90.68%.

2.7 Data analysis

Statistical analyses were conducted using SPSS 26.0 software. Normality tests were performed on all continuous variables. The count data were described using frequencies and percentages. In contrast, continuous data were described using means and standard deviations to analyze participants' sociodemographic characteristics and scores on turnover intention, workplace psychological violence, and perceived stress. Independent t-tests and analysis of variance (ANOVA) were used to compare differences in turnover intention across participants' sociodemographic characteristics. Correlations between nurses' turnover intention, workplace psychological violence, and perceived stress were examined using Pearson correlation analysis. Mediation effects were analyzed using Model 4 of the PROCESS macro with 95% confidence intervals, employing the bootstrap method with 5,000 resamples at a significance level of α = 0.05.

3 Results

3.1 Common method bias test

Harman's single-factor test was conducted on all questionnaire items to assess common method bias. The results showed that eight factors had eigenvalues greater than 1.0, and the first unrotated factor accounted for 39.508% of the total variance, which did not exceed the critical threshold of 40%. This indicates that the study did not suffer from serious standard method bias.

3.2 Demographic characteristics of participants

Table 1 shows the sociodemographic characteristics of the 798 study participants in detail. Female nurses comprised 767 participants (96.1%), reflecting the gender distribution of the nursing profession. Regarding age structure, the 31–40 age group represented the most significant proportion with 322 nurses (40.4%). For family status, 71.8% were married, and 548 (68.7%) had children, indicating that most participants had established families. Regarding educational and professional background, bachelor's degree holders dominated the sample with 584 participants (73.2%). Nurse supervisors represented the highest proportion (40.9%), while clinical nurses comprised the majority of positions (78.2%). Employment contracts were the predominant employment type (80.8%), and departmental distribution was relatively even, with medical and surgical nurses accounting for nearly half the total. Nurses with 11–15 years of experience were the most common regarding working conditions. Most participants (74.9%) worked an average of 7–8 h daily, while 47.6% earned less than 5,000 RMB monthly. Night shift workload was considerable, with 38.2% working ≥5 night shifts per month. Furthermore, 85.3% reported no recent major life events. This study found significant differences (P < 0.05) in turnover intention scores among the 798 clinical nurses based on nine demographic characteristics: age, marital status, professional title, type of employment, length of service in nursing, average daily working hours, monthly income, number of night shifts per month, and recent major life events.

Table 1
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Table 1. Participants' demographic characteristics and their distribution by turnover intention scores (n = 798).

3.3 Scores of the measurement scales

The scores for the main variables in this study were as follows: the mean score for nurses' turnover intention was (13.05 ± 3.95), indicating that the participants had some degree of turnover intention; the mean score for psychological violence in the workplace was (21.11 ± 26.87); and the mean score for perceived stress was (22.78 ± 7.79). The scores for each dimension of the Turnover Intention, Workplace Psychological Violence, and Perceived Stress scales are presented in Table 2.

Table 2
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Table 2. Scores of nurses' turnover intention, workplace psychological violence and perceived stress (n = 798).

3.4 Study variable correlations

Table 3 presents the correlation analysis results for the dimensions of turnover intention, workplace psychological violence, and perceived stress. The Pearson correlation analysis showed a positive correlation between turnover intention and workplace psychological violence (r = 0.364, P < 0.01). There were also significant positive correlations between turnover intention and perceived stress (r = 0.423, P < 0.01) and between workplace psychological violence and perceived stress (r = 0.486, P < 0.01).

Table 3
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Table 3. Correlations analysis of turnover intention, workplace psychological violence, perceived stress (n = 798).

3.5 The mediating effect of perceived stress between psychological violence in the workplace and turnover intention

The present study constructed a mediation effect model with turnover intention as the dependent variable, taking workplace psychological violence as the independent variable, perceived stress as the mediating variable, and while controlling for nine statistically significant variables derived from general demographic information. Table 4 presents the results of the mediation effect analysis using 5,000 bootstrap samples. The findings indicated that both workplace psychological violence and perceived stress were important predictors of turnover intention (β = 0.349, P < 0.001; β = 0.268, P < 0.001). Notably, even in the model incorporating perceived stress, workplace psychological violence still exerted a significant direct effect on turnover intention (β = 0.220, P < 0.001). Additionally, the present study identified a significant association between workplace psychological violence and perceived stress (β = 0.481, P < 0.001). Table 5 presents that the indirect effect was 0.129, with a 95% confidence interval (CI) of [0.094, 0.167]—a range that did not include zero, confirming the significance of the indirect effect. Specifically, perceived stress functioned as a significant mediator in this model, and the mediating effect accounted for 36.96% of the total effect. The relationships among these variables are illustrated in Figure 1.

Table 4
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Table 4. The mediating model of perceived stress between workplace psychological violence and turnover intention (n = 798).

Table 5
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Table 5. Decomposition table of total effect, direct effect, and mediating effect (n = 798).

Figure 1
Flowchart depicting the relationship between workplace psychological violence, perceived stress, and turnover intention. Arrows indicate the direction of influence with values: 0.481 from psychological violence to perceived stress, 0.268 from perceived stress to turnover intention, and 0.220 from psychological violence directly to turnover intention.

Figure 1. Mediation effect analysis of nurses' perceived stress between workplace psychological violence and turnover intention. ***P < 0.001.

4 Discussion

4.1 Current status of nurses' turnover intention

The global nursing shortage has reached critical levels, especially given the growing aging population, and retention of experienced nurses is essential to maintain continuity of care, patient safety, and healthcare system efficiency (37). Rural hospitals in China face critical healthcare staff shortages and high turnover rates (38). In this study, the nurses' turnover intention score was 13.05 ± 3.95, and 43.86% of the nurses had high turnover intention, which is consistent with findings by Huang et al. (28). This result mainly stems from the high-intensity and high-pressure characteristics of nursing work, as well as problems such as workload overload, understaffing, frequent overtime, and demanding shift work schedules, which seriously affect nurses' work-life balance and lead to physical and mental exhaustion and burnout (17, 39). Early attention to and intervention for nurses' turnover intention can help reduce nursing attrition and maintain nursing team stability. Nursing managers can demonstrate humanistic care through holiday support, reasonably arrange work schedules to prevent excessive fatigue, and provide relaxation spaces by establishing stress relief areas in departments to create a mutually supportive work environment.

4.2 Correlation analysis of psychological violence in the workplace, turnover intention, and perceived stress

The study showed a significant positive correlation between turnover intention and psychological violence in the workplace (r = 0.364, P < 0.001), which is consistent with findings by Luo et al. (11). Exposure to workplace psychological violence significantly predicted higher turnover intention (40). Psychological violence contributes to turnover intention by negatively affecting nurses' psychological and emotional wellbeing, leading to psychological problems such as low mood, anxiety, and depression (41, 42). Additionally, clinical nurses work in consistently high-pressure environments, and workplace psychological violence serves as an additional stressor that further increases nurses' psychological burden. This leads them to question their occupational value, reduces their professional identity and job satisfaction, and ultimately promotes turnover intention (43). Turnover intention was positively correlated with perceived stress (r = 0.423, P < 0.001), similar to findings by An et al. (44). Research shows that stress not only significantly affects employees' job satisfaction and organizational commitment, but is also a key predictor of turnover (45). According to stress coping theory (46), physiological and psychological strain responses occur when individuals face stressors that exceed their coping abilities, and turnover intention represents a critical manifestation of such strain responses. Workplace psychological violence was also positively correlated with perceived stress (r = 0.486, P < 0.001), suggesting that higher levels of workplace psychological violence experienced by nurses correspond to higher perceived stress levels. As an essential occupational stressor, workplace psychological violence significantly increases nurses' perceived stress by depleting their psychological resources and triggering psychological and physiological reactions such as anxiety, depression, and sleep disorders (47).

4.3 The mediating effect of perceived stress between psychological violence in the workplace and turnover intention

The results of the mediation analysis showed that nurses' perceived stress partially mediated the relationship between psychological violence in the workplace and turnover intention, accounting for 36.96% of the total effect. According to the Job Demands-Resources Model (JD-R) (22), psychological violence in the workplace, as a high-intensity job demand, depletes nurses' psychological resources. When job demands exceed an individual's existing resources, it activates the health impairment process within the model, inducing psychological strain in nurses and subsequently elevating perceived stress levels. Research findings confirm that workplace psychological violence not only directly induces nurses' intention to leave but also indirectly fosters this intention by elevating their perceived stress levels. Specifically, workplace psychological violence threatens nurses' psychological safety, undermines their trust in the work environment, significantly increases perceived stress levels, intensifies work-related pressure, and negatively impacts nurses' work attitudes and professional commitment, ultimately resulting in additional organizational losses (17, 48). Therefore, reducing nurses' perceived stress by minimizing psychological violence in the workplace is an effective way to prevent and reduce nurses' turnover intention. When healthcare organizations develop interventions, they should not only reduce violence at its source but also focus on alleviating nurses' perceived stress. Nursing managers should introduce clear anti-psychological violence policies, improve anonymous reporting mechanisms (such as dedicated complaint systems with specialized personnel), and establish standardized processing procedures. They should foster a zero-tolerance culture toward psychological violence and create a supportive work atmosphere through regular anti-violence seminars, effective communication mechanisms, and educational programs. Simultaneously, efforts should focus on alleviating nurses' perceived stress by establishing emotional support channels, providing anonymous psychological support platforms, creating VR-based relaxation environments, and offering professional psychological counseling services to help nurses address negative emotions and trauma from psychological violence. Organizations can improve nurses' job satisfaction, reduce turnover intention, and maintain nursing team stability by preventing psychological violence and relieving perceived stress.

5 Limitations

This study employed convenience sampling, with the sample drawn exclusively from nursing populations at nine Grade III Class A general hospitals in Southwest China. This approach may introduce sample bias and limit representativeness. Additionally, as a cross-sectional survey design, the study can only reveal associations among workplace psychological violence, perceived stress, and turnover intention among nurses. The causal relationships among these three factors require longitudinal research to confirm. Furthermore, all variables were measured through self-reporting, which may introduce bias. For instance, nurses might withhold truthful responses regarding psychological violence experiences or turnover intention due to concerns. Future research should include nursing populations from other regions of China and employ random sampling to enhance sample representativeness and generalizability. Concurrently, qualitative studies and longitudinal investigations should be actively pursued.

6 Conclusions

This study provides insight into the mediating role of perceived stress among clinical nurses in the relationship between workplace psychological violence and turnover intention. The findings suggest that workplace psychological violence significantly increases nurses' perceived stress levels, which in turn increases their turnover intention, and that perceived stress plays a key mediating role in this process. This finding reveals the importance of alleviating nurses' perceived stress in mitigating the adverse consequences of workplace psychological violence, and provides direction for developing targeted intervention strategies. By creating a violence-free work environment, conducting stress management training, and providing psychological support services, organizations can effectively prevent psychological violence and reduce nurses' perceived stress, thereby decreasing turnover intention. By integrating intervention measures with nurse protection systems, workplace psychological violence can be effectively prevented, nurses' professional identity can be enhanced, and nursing team stability can be maintained.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by the People's Hospital of Deyang City, Sichuan Province, China. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

LT: Data curation, Formal analysis, Investigation, Software, Validation, Writing – original draft, Writing – review & editing. SZ: Data curation, Formal analysis, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. XZ: Data curation, Investigation, Software, Supervision, Validation, Writing – review & editing. YH: Investigation, Project administration, Validation, Writing – review & editing. LX: Data curation, Investigation, Project administration, Writing – review & editing. YF: Data curation, Investigation, Methodology, Writing – review & editing. LH: Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Youth Fund Project of Sichuan Hospital Management and Development Research Center (grant number: SCYG2024-27) and Sichuan Primary Health Care Development Center Subjects (grant number: SWFZ24-Q-87).

Acknowledgments

The authors sincerely thank the nine hospitals participating in this study and all the nurses for their support.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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The author(s) declare that no Gen AI was used in the creation of this manuscript.

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References

1. International Council of Nurses Icn Report Says Shortage of Nurses is a Global Health Emergency. Available online at: https://www.icn.ch/news/icn-report-says-shortage-nurses-global-health-emergency

Google Scholar

2. Ren H, Li P, Xue Y, Xin W, Yin X, Li H. Global prevalence of nurse turnover rates: a meta-analysis of 21 studies from 14 countries. J Nurs Manag. (2024) 2024:5063998. doi: 10.1155/2024/5063998

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wu F, Lao Y, Feng Y, Zhu J, Zhang Y, Li L. Worldwide prevalence and associated factors of nursing staff turnover: a systematic review and meta-analysis. Nurs Open. (2024) 11:e2097. doi: 10.1002/nop2.2097

PubMed Abstract | Crossref Full Text | Google Scholar

4. Zheng J, Feng S, Feng Y, Wang L, Gao R, Xue B. Relationship between burnout and turnover intention among nurses: a network analysis. BMC Nurs. (2024) 23:921. doi: 10.1186/s12912-024-02624-2

PubMed Abstract | Crossref Full Text | Google Scholar

5. Chen M, Xie H, Liao X, Ni J. Workplace violence and turnover intention among Chinese nurses: the mediating role of compassion fatigue and the moderating role of psychological resilience. BMC Public Health. (2024) 24:2437. doi: 10.1186/s12889-024-19964-y

PubMed Abstract | Crossref Full Text | Google Scholar

6. Tang Y, Deng Y, Zhan N, Xu Y, Huang H. The effect of nurses′ sense of security on turnover intention. J Nurs Sci. (2022) 37:55–8.

Google Scholar

7. Bae SH. Noneconomic and economic impacts of nurse turnover in hospitals: a systematic review. Int Nurs Rev. (2022) 69:392–404. doi: 10.1111/inr.12769

PubMed Abstract | Crossref Full Text | Google Scholar

8. Dewanto A, Wardhani V. Nurse turnover and perceived causes and consequences: a preliminary study at private hospitals in Indonesia. BMC Nurs. (2018) 17:52. doi: 10.1186/s12912-018-0317-8

PubMed Abstract | Crossref Full Text | Google Scholar

9. McHugh MD, Aiken LH, Sloane DM, Windsor C, Douglas C, Yates P. Effects of nurse-to-patient ratio legislation on nurse staffing and patient mortality, readmissions, and length of stay: a prospective study in a panel of hospitals. Lancet. (2021) 397:1905–13. doi: 10.1016/S0140-6736(21)00768-6

PubMed Abstract | Crossref Full Text | Google Scholar

10. Huang TL, Wong MK, Shyu YL, Ho LH, Yeh JR, Teng CI. Reducing turnover intention to improve care outcome: a two-wave study. J Adv Nurs. (2021) 77:3083–92. doi: 10.1111/jan.14831

PubMed Abstract | Crossref Full Text | Google Scholar

11. Luo Y, Zhang M, Yu S, Guan X, Zhong T, Wu Q, et al. The impact of psychological violence in the workplace on turnover intention of clinical nurses: the mediating role of job satisfaction. BMC Nurs. (2024) 23:844. doi: 10.1186/s12912-024-02477-9

PubMed Abstract | Crossref Full Text | Google Scholar

12. Zhang Y, Yin R, Lu J, Cai J, Wang H, Shi X, et al. Association between horizontal violence and turnover intention in nurses: a systematic review and meta-analysis. Front Public Health. (2022) 10:964629. doi: 10.3389/fpubh.2022.964629

PubMed Abstract | Crossref Full Text | Google Scholar

13. Blackstock S, Salami B, Cummings GG. Organisational antecedents, policy and horizontal violence among nurses: an integrative review. J Nurs Manag. (2018) 26:972–91. doi: 10.1111/jonm.12623

PubMed Abstract | Crossref Full Text | Google Scholar

14. Xia G, Zhang Y, Dong L, Huang F, Pu Y, Luo J, et al. The mediating role of organizational commitment between workplace bullying and turnover intention among clinical nurses in China: a cross-sectional study. BMC Nurs. (2023) 22:360. doi: 10.1186/s12912-023-01547-8

PubMed Abstract | Crossref Full Text | Google Scholar

15. Cao J, Jia Z, Zhu C, Li Z, Liu H, Li F, et al. Nurses' turnover intention and associated factors in general hospitals in china: a cross-sectional study. J Nurs Manag. (2021) 29:1613–22. doi: 10.1111/jonm.13295

PubMed Abstract | Crossref Full Text | Google Scholar

16. Podsakoff NP, LePine JA, LePine MA. Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: a meta-analysis. J Appl Psychol. (2007) 92:438–54. doi: 10.1037/0021-9010.92.2.438

PubMed Abstract | Crossref Full Text | Google Scholar

17. Babapour AR, Gahassab-Mozaffari N, Fathnezhad-Kazemi A. Nurses' job stress and its impact on quality of life and caring behaviors: a cross-sectional study. BMC Nurs. (2022) 21:75. doi: 10.1186/s12912-022-00852-y

PubMed Abstract | Crossref Full Text | Google Scholar

18. Zabin LM, Zaitoun RSA, Sweity EM, de Tantillo L. The relationship between job stress and patient safety culture among nurses: a systematic review. BMC Nurs. (2023) 22:39. doi: 10.1186/s12912-023-01198-9

PubMed Abstract | Crossref Full Text | Google Scholar

19. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. (1983) 24:385–96. doi: 10.2307/2136404

PubMed Abstract | Crossref Full Text | Google Scholar

20. Yuan D, Hu M, Yao N, Zhong H, Xiao Y, Zhou X, et al. Effects of perceived stress on turnover intention of female healthcare staff: a serial multiple mediation model. BMC Public Health. (2024) 24:1198. doi: 10.1186/s12889-024-18654-z

PubMed Abstract | Crossref Full Text | Google Scholar

21. Zeng C, Wang F, Liu W, Wang L, Wu Q, Zhao Q, et al. Relationship between workplace violence and job burnout among community nurses in China: a chained mediation modeling analysis. Int Nurs Rev. (2025) 72:e70071. doi: 10.1111/inr.70071

PubMed Abstract | Crossref Full Text | Google Scholar

22. Demerouti E, Bakker AB, Nachreiner F, Schaufeli WB. The job demands-resources model of burnout. J Appl Psychol. (2001) 86:499–512. doi: 10.1037/0021-9010.86.3.499

PubMed Abstract | Crossref Full Text | Google Scholar

23. Bakker AB, Demerouti E. The job demands-resources model: state of the art. J Manag Psychol. (2007) 22:309–28. doi: 10.1108/02683940710733115

Crossref Full Text | Google Scholar

24. Bakker AB, Demerouti E. Job demands-resources theory: taking stock and looking forward. J Occup Health Psychol. (2017) 22:273–85. doi: 10.1037/ocp0000056

PubMed Abstract | Crossref Full Text | Google Scholar

25. Yu X, Kong X, Qian M, Zhang X, Li L. Relationship between nurses' professional identity and willingness to leave in public hospitals in Jilin Province. J Appl Psychol. (2024) 37:114–20.

Google Scholar

26. Michaels CE, Spector PE. Causes of employee turnover: a test of the Mobley, Griffeth, Hand, and Meglino model. J Appl Psychol. (1982) 67:53–9. doi: 10.1037/0021-9010.67.1.53

Crossref Full Text | Google Scholar

27. Li J, Li D. A study on the correlation between role conflict, organizational commitment, and willingness to leave under matrix organizational structure: a case study of employees of industrial technology research institute. Chin J Manag. (2003) 4:21–44.

Google Scholar

28. Huang H, Wang L, Qian R, Zhang Y. A cross-sectional study on turnover intention of nurses in Eastern China. BMC Health Serv Res. (2024) 24:425. doi: 10.1186/s12913-024-10849-9

PubMed Abstract | Crossref Full Text | Google Scholar

29. Liu Z, Zhang H, Liu J, Zhao J, Feng Y, Liu J, et al. Emotional labour and turnover intention among nurses in China: mediating effects of nurse-patient relationship and self-rated health. Int Nurs Rev. (2024) 71:841–9. doi: 10.1111/inr.12933

PubMed Abstract | Crossref Full Text | Google Scholar

30. Dilek Y, Aytolan Y. Development and psychometric evaluation of workplace psychologically violent behaviours instrument. J Clin Nurs. (2008) 17:1361–70. doi: 10.1111/j.1365-2702.2007.02262.x

PubMed Abstract | Crossref Full Text | Google Scholar

31. Xu M, Chen Y, Wang C, Li Z, Wu Y. Reliability and validity for the Chinese version of the workplace psychologically violent behaviours instrument. Mod Prev Med. (2018) 45:1627–30, 48.

Google Scholar

32. Hu H, Gong H, Ma D, Wu X. Association between workplace psychological violence and work engagement among emergency nurses: the mediating effect of organizational climate. PLoS ONE. (2022) 17:e0268939. doi: 10.1371/journal.pone.0268939

PubMed Abstract | Crossref Full Text | Google Scholar

33. Li L, Liao X, Ni J. A cross-sectional survey on the relationship between workplace psychological violence and empathy among Chinese nurses: the mediation role of resilience. BMC Nurs. (2024) 23:85. doi: 10.1186/s12912-024-01734-1

PubMed Abstract | Crossref Full Text | Google Scholar

34. Yang T, Huang H. An epidemiological study on stress among urban residents in social transition period. Chin J Epidemiol (2003) 24:760–4.

PubMed Abstract | Google Scholar

35. Huang ZP, Huang F, Liang Q, Liao FZ, Tang CZ, Luo ML, et al. Socioeconomic factors, perceived stress, and social support effect on neonatal nurse burnout in China: a cross-sectional study. BMC Nurs. (2023) 22:218. doi: 10.1186/s12912-023-01380-z

PubMed Abstract | Crossref Full Text | Google Scholar

36. Hu H, Chang S, Tian G, Li Z, Chang L, Zhang J, et al. The impact of perceived stress on job satisfaction among nurse managers: a moderated mediation model of job burnout and psychological capital. BMC Nurs. (2025) 24:953. doi: 10.1186/s12912-025-03607-7

PubMed Abstract | Crossref Full Text | Google Scholar

37. Toscano F, Galanti T, Cortini M. Reducing nurses' emotional exhaustion and turnover intentions: the role of prosocial orientation and perceived patient gratitude in a moderated mediation model. J Nurs Manag. (2025) 2025:4445460. doi: 10.1155/jonm/4445460

PubMed Abstract | Crossref Full Text | Google Scholar

38. Wu H, Liu Y. The Relationship between organisational support for career development, organisational commitment, and turnover intentions among healthcare workers in township hospitals of Henan, China. BMC Prim Care. (2022) 23:136. doi: 10.1186/s12875-022-01753-4

PubMed Abstract | Crossref Full Text | Google Scholar

39. Bae SH. Nurse staffing, work hours, mandatory overtime, and turnover in acute care hospitals affect nurse job satisfaction, intent to leave, and burnout: a cross-sectional study. Int J Public Health. (2024) 69:1607068. doi: 10.3389/ijph.2024.1607068

PubMed Abstract | Crossref Full Text | Google Scholar

40. Courcy F, Morin AJS, Madore I. The effects of exposure to psychological violence in the workplace on commitment and turnover intentions: the moderating role of social support and role stressors. J Interpers Violence. (2019) 34:4162–90. doi: 10.1177/0886260516674201

PubMed Abstract | Crossref Full Text | Google Scholar

41. Wei H, Liu M, Wang Z, Qu W, Zhang S, Zhang B, et al. Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis. BMC Nurs. (2024) 23:750. doi: 10.1186/s12912-024-02408-8

PubMed Abstract | Crossref Full Text | Google Scholar

42. Kolutek R, Erkutlu H, Chafra J. Workplace violence and nurses' psychological well-being: the mediating role of burnout and the moderating role of psychological resilience. Arch Psychiatr Nurs. (2024) 53:177–83. doi: 10.1016/j.apnu.2024.10.015

PubMed Abstract | Crossref Full Text | Google Scholar

43. Zhao SH, Shi Y, Sun ZN, Xie FZ, Wang JH, Zhang SE, et al. Impact of workplace violence against nurses' thriving at work, job satisfaction and turnover intention: a cross-sectional study. J Clin Nurs. (2018) 27:2620–32. doi: 10.1111/jocn.14311

PubMed Abstract | Crossref Full Text | Google Scholar

44. An M, Heo S, Hwang YY, Kim J, Lee Y. Factors affecting turnover intention among new graduate nurses: focusing on job stress and sleep disturbance. Healthcare. (2022) 10:1122. doi: 10.3390/healthcare10061122

PubMed Abstract | Crossref Full Text | Google Scholar

45. Mosadeghrad AM. Occupational stress and turnover intention: implications for nursing management. Int J Health Policy Manag. (2013) 1:169–76. doi: 10.15171/ijhpm.2013.30

PubMed Abstract | Crossref Full Text | Google Scholar

46. Lazarus RS, DeLongis A, Folkman S, Gruen R. Stress and adaptational outcomes. The problem of confounded measures. Am Psychol. (1985) 40:770–85. doi: 10.1037/0003-066X.40.7.770

PubMed Abstract | Crossref Full Text | Google Scholar

47. Verkuil B, Atasayi S, Molendijk ML. Workplace bullying and mental health: a meta-analysis on cross-sectional and longitudinal data. PLoS ONE. (2015) 10:e0135225. doi: 10.1371/journal.pone.0135225

PubMed Abstract | Crossref Full Text | Google Scholar

48. Yeh TF, Chang YC, Feng WH, Sclerosis M, Yang CC. Effect of workplace violence on turnover intention: the mediating roles of job control, psychological demands, and social support. Inquiry. (2020) 57:46958020969313. doi: 10.1177/0046958020969313

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: nurses, turnover intention, workplace psychological violence, perceived stress, mediating effect

Citation: Tan L, Zheng S, Zhong X, Han Y, Xia L, Fan Y and He L (2025) The impact of workplace psychological violence on clinical nurses' turnover intention: the mediating role of perceived stress. Front. Public Health 13:1672644. doi: 10.3389/fpubh.2025.1672644

Received: 24 July 2025; Accepted: 28 October 2025;
Published: 17 November 2025.

Edited by:

Emanuele Cannizzaro, University of Palermo, Italy

Reviewed by:

Mamunur Rashid, University of Gävle, Sweden
Derya Sivuk, Ankara Haci Bayram Veli University, Türkiye

Copyright © 2025 Tan, Zheng, Zhong, Han, Xia, Fan and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lin He, MTUzODgxMzIzNzhAMTYzLmNvbQ==

These authors contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.