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Leader behavior significantly influences employees' safety performance. This study aimed to examine the effect of abusive supervision on the safety behaviors of subordinates. By drawing on the strength model of self-control, we predicted that abusive supervision would negatively affect safety behaviors through emotional exhaustion, and trait self-control and attentional bias toward safety would moderate the relationship between abusive supervision, emotional exhaustion, and safety behaviors. Our hypothesized model was supported by results from a sample of 159 workers at a chemical product manufacturing enterprise in China. Emotional exhaustion mediated the link between abusive supervision and safety behaviors. Moreover, trait self-control moderated the relationship between abusive supervision and emotional exhaustion, and attentional bias toward safety moderated the relationship between emotional exhaustion and safety compliance. This study elucidates the effects of abusive supervision on safety behaviors through the resource depletion process. Likewise, the importance of trait self-control and attentional bias toward safety in mitigating the potentially harmful effects of abusive supervision in workplace safety is highlighted. Minimizing abusive supervision, providing self-control training, and implementing safety-specific implicit cognition intervention can effectively improve employees' safety behaviors.

Serious illnesses such as Ebola are often highly publicized in the mass media and can be associated with varying levels of anxiety and compensatory safety behavior (e.g., avoidance of air travel). The present study investigated psychological processes associated with Ebola-related anxiety and safety behaviors during the outbreak in late 2014. Between October 30 and December 3, 2014, which encompassed the peak of concerns and of the media’s attention to this particular outbreak, 107 university students completed a battery of measures assessing fear of Ebola, performance of safety behaviors, factual knowledge of the virus, and psychological variables hypothesized to predict Ebola-related fear. We found that while our sample was generally not very fearful of contracting Ebola, the fear of this disease was correlated with general distress, contamination cognitions, disgust sensitivity, body vigilance, and anxiety sensitivity-related physical concerns. Regression analyses further indicated that anxiety sensitivity related to physical concerns and the tendency to overestimate the severity of contamination were unique predictors of both Ebola fear and associated safety behaviors. Implications for how concerns over serious illness outbreaks can be conceptualized and clinically managed are discussed.

PurposeThe purpose of this study is to examine the effects of leader mindfulness on employee safety behaviors by focusing on the mediating role of employee resilience and the moderating role of perceived environmental uncertainty.Design/methodology/approachThe authors surveyed 248 employees in the high speed railway company of China in three waves with a two-week interval. Hierarchical regression analysis was used to test the hypotheses. The mediating effects and the moderated mediation effects are further tested with bias-corrected bootstrapping method.FindingsLeader mindfulness positively affects employee safety compliance and safety participation, and these relationships were mediated by employee resilience. Perceived environmental uncertainty moderated the effects of leader mindfulness on employee resilience and the indirect effects of leader mindfulness on safety behaviors via employee resilience.Originality/valueThe findings elucidate the significance of leader mindfulness in promoting employee safety behaviors in the workplace.

Aim: This study examines the association between burnout, nurse safety behaviors, and patient safety competency among nurses working in cancer hospitals using person‐centered and variable‐centered methodologies. Background: Burnout is prevalent among nurses worldwide, with cancer hospital nurses exhibiting high levels of burnout. Burnout correlates with a higher incidence of adverse events and diminished patient safety. Nurse safety behaviors and patient safety competency play protective roles in ensuring patient safety. Methods: This study used a cross‐sectional online survey and included 2092 eligible nurses, with 95.0% being female. We invited nurses from cancer hospitals in 12 provinces in China to complete an online survey from April to June 2023. Through the online Questionnaire Star platform, invited nurses provided demographic information and completed the Maslach Burnout Inventory, the Nurse Safety Behaviors Scale, and the Patient Safety Competency Scale. Latent profile analysis was used to identify heterogeneous characteristics of nurse burnout. Results: From a person‐centered perspective, nurse burnout was categorized into three latent profiles: “high achievement stable type” (70.3%), “high‐efficiency contradictory type” (6.6%), and “high‐pressure adaptive type” (23.1%). From a variable‐centered perspective, patient safety competency partially mediated the relationship between burnout profiles and nurse safety behaviors. Conclusion: This study identified three heterogeneous latent profiles of burnout among cancer hospital nurses and highlighted the significant impact of excessive working hours and lack of safety training on burnout across different job titles and income levels. Additionally, it verified the mediation effect of patient safety competency between burnout profiles and nurse safety behaviors. Future treatments should focus on high‐risk populations by offering improved safety training and suitable work schedules to reduce burnout. Furthermore, personalized measures to enhance nurses’ safety competencies should be adopted to improve burnout and safety behaviors. This study integrates person‐centered and variable‐centered methods, offering new insights and underscoring the critical role of safety in mitigating burnout.

Background Social anxiety is thought to be maintained by habitual safety behaviors, actions undertaken to avoid some feared outcome. Safety behaviors may act as a risk factor for the persistence of social anxiety symptoms after treatment completion, though this has not been investigated. We examined the impact of posttreatment safety behavior frequency on subsequent social anxiety symptoms at 3-month follow-up after two non-behavioral digital treatments for social anxiety. Methods Participants ( N  = 64) with social anxiety disorder were randomized to eight sessions of interpretation bias modification or progressive muscle relaxation. A series of hierarchical multiple regressions were run to examine the association between posttreatment safety behavior frequency and social anxiety symptoms at follow-up, controlling for symptoms at posttreatment. Results Safety behavior frequency at posttreatment significantly predicted future social anxiety symptoms and fear of negative evaluation at follow-up when covarying for posttreatment symptoms as well as negative social interpretation bias. Conclusions This study highlights the potential importance of considering safety behaviors as a social anxiety maintenance factor following treatment.

PurposeProvisions for the minimisation of human error are essential through governance structures such as recruitment, human resource allocation and education/training. As predictors of safety attitudes/behaviours, employees’ personality traits (e.g. conscientiousness, sensation-seeking, agreeableness, etc.) have been examined in relation to human error and safety education.Design/methodology/approachThis review aimed to explore research activity on the safety attitudes of healthcare staff and their relationship with the different types of personalities, compared to other complex and highly regulated industries. A scoping review was conducted on five electronic databases on all industrial/work areas from 2001 to July 2023. A total of 60 studies were included in this review.FindingsStudies were categorised as driving/traffic and industrial to draw useful comparisons between healthcare. Certain employees’ personality traits were matched to positive and negative relationships with safety attitudes/behaviours. Results are proposed to be used as a baseline when conducting further relevant research in healthcare.Research limitations/implicationsOnly two studies were identified in the healthcare sector.Originality/valueThe necessity for additional research in healthcare and for comparisons to other complex and highly regulated industries has been established. Safety will be enhanced through healthcare governance through personality-based recruitment, human resource allocation and education/training.

The study examined how shift work demands and circadian rhythm traits influence the sleep-depression-safety behavior chain in shift-working nurses. A cross-sectional study was conducted from May 1, 2024, to May 31, 2025, recruiting shift-working nurses from a tertiary hospital. Their circadian traits, sleep quality, depressive symptoms, and safety behavior were assessed using the Circadian Type Inventory (CTI, measuring flexible-rigid [FR] and languid-vigorous [LV]), the Morningness-Eveningness Questionnaire-5 (MEQ-5), the Pittsburgh Sleep Quality Index (PSQI), the Patient Health Questionnaire-9 (PHQ-9), and the Safety Behavior Questionnaire (SBQ). Objective shift work demands (total night shift count, shift work hours, shift workload exposure, and shift schedule entropy) were calculated based on data from the nursing management system. Piecewise structural equation modeling (SEM) and generalized additive models (GAMs) were used for data analysis. The optimal SEM explained 22% of the variance in sleep quality, 44% in depressive symptoms, and 22% in safety behavior level. Languidity (higher LV score) was strongly associated with both poor sleep quality (β = 0.29) and depressive symptoms (β = 0.28), whereas flexibility (higher FR score) was positively associated with safety behavior, exerting both direct (β = 0.21) and indirect (β = 0.04) effects. Depressive symptoms showed the strongest negative association with safety behavior (β = -0.27). Circadian rhythm traits showed stronger associations with the sleep-psychological-safety behavior chain than shift work demands, which were mainly associated with safety behavior and only weakly with sleep quality and depressive symptoms. GAMs revealed that five key predictors (shift schedule entropy, FR, chronotype, sleep quality, and depressive symptoms) had predominantly linear effects on safety behavior. Circadian rhythm traits should be prioritized in shift scheduling to optimize the sleep-psychological-behavioral pathway, while balancing shift work demands may help improve their safety behavior among shift-working nurses.

We explored the influence of transactional leadership on employees' safety behavior, and investigated the impact of safety climate and psychological empowerment on this influence. By surveying 260 employees in the construction industry, we obtained the following results: First, transactional leadership negatively predicted safety climate, psychological empowerment, and employees' safety behavior. Second, safety climate and psychological empowerment positively predicted employees' safety behavior. Third, safety climate and psychological empowerment played a mediating role in the relationship between transactional leadership and employee safety behavior. Practical and theoretical implications of the findings are discussed.

Rapid economic development in recent decades has resulted in a considerable increase in the number of people working far away from their home locations. Homesickness is a common reaction to the separation from home. Our research uses the work–home resources model to explain how the experience of homesickness can undermine the positive effect of job resources on job performance (i.e., task performance and safety behavior). In addition, we hypothesize that emotional stability and openness are key resources that can buffer the negative interference of homesickness with the job resources–performance relationship. We conducted two studies to test our hypotheses. Study 1 was a two-wave longitudinal study using a migrant manufacturing worker sample. In this study, homesickness was measured at the between-person level, and performance was measured three months later. Study 2 was a daily diary study conducted in a military trainee sample. In this study, homesickness was measured at the within-person level to capture its fluctuations over 20 days, and daily job performance was assessed using supervisor ratings. Both studies showed evidence of the hypothesized moderating effect of homesickness and three-way interaction effects of job resources, homesickness, and key resources (i.e., emotional stability and openness) on task performance and safety behavior.

Occupational burnout poses a persistent threat to nurses' mental health and the quality of patient care. Emerging evidence indicates that burnout is not a uniform phenomenon but manifests in distinct psychological patterns. Yet, how these diverse burnout experiences interact with safety-related factors is insufficiently understood. Network analysis offers a systems-level perspective to uncover interconnections among psychological and safety variables and to pinpoint potential bridge nodes for targeted interventions. This study sought to map the network architecture linking psychological and safety-related factors among nurses across different burnout profiles, to identify profile-specific central and bridge nodes, and to examine their associations with safety behaviors. A total of 2092 nurses were included. This study was a secondary analysis based on a previously established dataset in which three distinct burnout profiles were identified using latent profile analysis: the High Achievement Stable Group (Class 1, 70.3%), the High Efficiency Contradictory Group (Class 2, 6.6%), and the High Pressure Adaptive Group (Class 3, 23.1%). Psychological-safety networks were estimated for both the overall sample and each subgroup using the EBICglasso model. Centrality and bridging indices were computed via expected influence and bridge expected influence, followed by network comparison tests to evaluate structural variations across profiles. In the overall network, \"skills\" (B4) exhibited the greatest centrality, whereas \"personal accomplishment\" (A3) and \"knowledge\" (B1) consistently functioned as pivotal bridge nodes across profiles. Although bridge configurations differed slightly among classes, A3 and B1 remained the principal connectors integrating psychological and safety communities. Significant structural differences were detected between Classes 2 and 1 (M test, p < 0.001) and between Classes 3 and 1 (M test, p < 0.001; S test, p = 0.002), with pronounced discrepancies in the edge patterns surrounding A3 and B1. The burnout-safety networks revealed distinct structural configurations across nurse subgroups. Identifying profile-specific bridge nodes offers practical guidance for precision interventions that enhance safety behaviors and foster occupational resilience.