In healthcare settings, nurses’ workload, burnout, and job satisfaction are associated to the patient–nurse ratio. Whether this ratio also affects their intention to leave the nursing profession, along with the underlying stress pathway, remains unclear. This study aimed to investigate the effects of the patient–nurse ratio on nurses’ intention to leave and considering the mediating roles of burnout and job dissatisfaction. The study analyzed the data of two pooled cross-sectional surveys collected in 2013 and 2014. Measures were obtained by a structure questionnaire, which queried the average daily patient–nurse ratio (ADPNR), nurses’ personal burnout, client-related burnout, job dissatisfaction, intention to leave, and other demographics. ADPNRs were standardized according to hospital levels. Multiple regression models examined mediation hypotheses, and a percentile bootstrap confidence interval was applied to determine the significance of indirect effects. A total of 1409 full-time registered nurses in medical and surgical wards of 24 secondary or tertiary hospitals in Taiwan completed self-administered questionnaires. Most of the participants were female (97.2%), and the mean age was 29.9 years. The association between the standardized ADPNR and intention to leave their job was significantly mediated by personal burnout, client-related burnout, and job dissatisfaction. Higher standardized ADPNRs predicted higher levels of personal burnout, client-related burnout, and job dissatisfaction, each of which resulted in higher levels of intention to leave the current job. The results highlight that appropriate patient–nurse ratio standards may be further discussed by selecting personal burnout, client-related burnout, and job dissatisfaction as indicators.

Although nurses work in stressful environments, stressors in such environments have yet to be clearly assessed. This study aimed to develop a Nurses’ Occupational Stressor Scale (NOSS) with high reliability and validity. Candidate questions for the NOSS were generated by expert consensus following focus group feedback, and were used to survey in 2013. A shorter version was then developed after examination for validity and reproducibility in 2014. The accuracy of the short version of the NOSS for predicting nurses’ stress levels was evaluated based on receiver operating characteristic curves to compare existing instruments for measuring stress outcomes, namely personal burnout, client-related burnout, job dissatisfaction, and intention to leave. Examination for validity and reproducibility yielded a shorter version of NOSS with only 21 items was considered sufficient for measuring stressors in nurses’ work environments. Nine subscales were included: (1) work demands, (2) work–family conflict, (3) insufficient support from coworkers or caregivers, (4) workplace violence and bullying, (5) organizational issues, (6) occupational hazards, (7) difficulty taking leave, (8) powerlessness, and (9) unmet basic physiological needs. The 21-item NOSS proved to have high concurrent and construct validity. The correlation coefficients of the subscales for test-retest reliability ranged from 0.71 to 0.83. The internal consistency (Cronbach’s α) coefficients ranged from 0.35 to 0.77. The NOSS exhibited accurate prediction of personal burnout, client-related burnout, job dissatisfaction, and intention to leave.

Background: The patient‐nurse ratio significantly influences nursing workloads, but its specific relationship with nurses’ occupational stressors is poorly understood. Aim: This study aimed to examine the association between patient‐nurse ratio and occupational stressors among nurses, highlighting understaffing as a potential driver of stress in clinical environments. Methods: A self‐administered questionnaire was distributed to full‐time nurses in the medical and surgical wards of accredited hospitals. Data collected included the average daily patient‐nurse ratio, subscale scores from the Nurses’ Occupational Stressor Scale (NOSS), and demographic and workplace variables such as sex, age, educational attainment, marital status, hospital ownership, unit type, major shift in the past 3 months, work tenure, sleeping hours, and weekly working hours. Logistic regression models and restricted cubic splines were used to analyze associations between the average daily patient‐nurse ratio and elevated nursing stressors. The study followed the STROBE guidelines for cross‐sectional research. Results: Among the 996 nurses surveyed, a higher average daily patient‐nurse ratio was significantly associated with increased stress levels across all subscales of the NOSS. Restricted cubic spline analysis revealed that a lower average daily patient‐nurse ratio corresponded to reduced probabilities of encountering higher stressors related to work demands, insufficient support from coworkers or caregivers, organizational challenges, and difficulty taking leave. Conversely, higher average daily patient‐nurse ratios were linked to greater stress probabilities in all measured domains. Conclusion: This study demonstrates that higher average daily patient‐nurse ratios significantly increase occupational stress among nurses. Reducing the patient‐nurse ratio may mitigate these stressors and improve the overall well‐being of nursing staff.

Background: High occupational stress has been associated with altered eating behaviors and obesity. Occupational stress is reported to be high in Asian countries. Furthermore, many Asian countries are increasingly consuming Western-type foods (e.g., incorporating drinks with meals) which collectively may also be contributing to obesity. Therefore, the aim of this study was to examine (a) associations between sugar-sweetened beverage (SSB) consumption as meal replacement and obesity and (b) associations between workload and substituting meals with SSB in nurses. Methods: A representative sample of 854 hospital-based nurses completed a structured questionnaire about SSB consumption, workload, and body mass index (BMI). Log binomial regression models were employed to test associations between SSBs and obesity rates and associations between workload and SSBs. Results: Most participants (57.6%) consumed SSBs as meal replacements during work. This was related to high workloads during shifts. Substituting SSBs for meals was significantly associated with increased likelihood of obesity (aPRR = 1.4, 95% CI (1.1, 1.7)). Workload was positively associated with SSB intake as meal substitutes (aPRR = 1.4, 95% CI (1.2, 1.6)). Conclusions: Our findings show that SSBs are used as meal substitutes and is due to the workload demands. Sugar-sweetened beverage consumption is also positively associated with the increased likelihood of obesity. Interventions that modify workloads and decrease SSB consumption may improve workers’ eating behaviors and health.