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The purpose of this study was to investigate the current status and influencing factors of night shift nurses' sense of occupational benefit, and to explore the influence of psychological resilience on the sense of occupational benefit. 2022 from August to October, a cross-sectional survey was conducted on 719 night shift nurses using a general information questionnaire, psychological resilience scale, and sense of occupational benefit scale. A total of 719 valid questionnaires were collected. The score of night shift nurses' sense of occupational benefit was (137.40 ± 21.10) and psychological resilience score was (65.63 ± 17.75). Age (β = 3.359, P < .05) was significantly correlated with sense of occupational benefit. Education (β = 3.586, P < .05) was significantly correlated with the sense of occupational benefit, and whether or not they had participated in outbreak prevention and control (β = -2.321, P < .05) was significantly correlated with the sense of occupational benefit. Similarly, psychological resilience (β = 0.859, P < .05) was significantly associated with the sense of occupational benefit. Night shift nurses' sense of occupational benefit was moderate to high, and interventions should be taken to enhance the sense of occupational benefit based on nurses' age, education, whether they have participated in epidemic prevention and control, and psychological resilience., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Examining mental health among nurses in the later stages of the COVID-19 pandemic could offer valuable information for addressing these symptoms in the long term. Therefore, the current study aimed to assess the mental health and well-being of Chinese nurses, as well as investigate the impact of psychological flexibility and night shifts on this relationship., Method: In cross-sectional, hospital-based, multicenter study, 422 Chinese nurses were selected by multistage stratified cluster random sampling. The mental health status, psychological flexibility, and wellbeing were assessed via 12-item General Health Questionnaire (GHQ-12), Chinese version of Personalized Psychological Flexibility Index, and Chinese version of the 5-item WHO Well-Being Index, respectively. To examine the proposed theoretical model, we conducted structural equation modeling using SPSS Amos 26 version. The age, gender, night shift, psychological flexibility, mental health, and well-being data were entered into the model. Pearson correlation and chi-square were used to explore the correlation between variables., Results: The high night shifts, being young and low psychological flexibility significantly had a direct effect on worse mental health (night shifts: ES, 95% CI: 0.619, 0.328-0.725; age: ES, 95% CI: 0.542, 0.226-0.993; psychological flexibility: ES, 95% CI: 0.675, 0.369-1.466). The low psychological flexibility and worse mental health were able to directly effect on worse wellbeing (psychological flexibility: ES, 95% CI: 0.419, 0.757-1.519; mental health: ES, 95% CI: 0.719, 1.109-2.607). In addition, psychological flexibility through the mediation of mental health also had an indirect effect on wellbeing (ES, 95% CI: 0.269, 0.957-2.165)., Conclusions: Being young, having more night shifts and having less psychological flexibility can be related to the deterioration of mental health and well-being in nurses. Therefore, it is recommended that nurses use the shift routine program with the least focus on the night shifts. Also, interventions to teach younger nurses how to face work stress and interventions to improve the psychological flexibility of all nurses are needed., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Aim: To investigate concurrent changes in short shift intervals (< 11 h) and workload among hospital employees., Design and Data Sources: This cohort study of 1904 employees in one hospital district in Finland utilised data on employees' working hours for short shift intervals and workload based on the patient classifications aggregated to a 3-week period level across 2 years, 2018-2019. The data was analysed by group-based trajectory modelling and multinominal regression models., Results: The seven trajectories model had the best fit to the data-Group 1: very few short shift intervals that are decreasing and low workload (15.0%); Group 2: a low amount of short shift intervals that are decreasing and stable low workload (14.2%); Group 3: moderate amount of short shift intervals that are slightly increasing and low workload (25.1%); Group 4: a low amount of short shift intervals that are slightly decreasing and stable low workload that is slightly increasing (12.1%): Group 5: a moderate amount of both short shift intervals and workload (19.8%): Group 6: short shift intervals that are clearly decreasing, with higher than the average workload decreasing (5.6%); Group 7: moderate amount of short shift intervals and very high workload (8.3%)., Conclusions: Only a minority of hospital employees were found to have both high workloads and insufficient recovery possibilities, but the time-related increases in objective workload were not compensated by better recovery possibilities in working hours. For shift scheduling, it is noteworthy that older employees might seek to work at units in which the workload is lower, which could be considered to support workability., Reporting Method: Record., Patient or Public Contribution: No Patient or Public Contribution., (© 2024 The Author(s). Nursing Open published by John Wiley & Sons Ltd.)

This study aimed to determine the relationship between melatonin hormone levels, sleep, and factors affecting sleep, psychological resilience, and depression in nurses working with a shift work system. Conducted between February 5-12, 2021, at the Training and Research Hospital in Ağrı province, the descriptive study included 41 night shift nurses and 35 day shift nurses, totaling 76 participants. Blood samples for melatonin analysis were collected and data were gathered using the Sociodemographic Information Form, Epworth Sleepiness Scale, Sleep Disorder Scale Short Form, Brief Psychological Resilience Scale, and Beck Depression Scale Short Form. Melatonin analysis was performed using the ELISA method. Statistical significance was set at p < 0.05. Results showed that sleep disorders were present in all nurses with <7 h of daily sleep. Factors such as the use of sleeping pills, marital status, age, and gender affected sleep disorders. Mean scores for melatonin levels were 67.82 ± 40.20 for night shift nurses and 68.08 ± 39.62 for day shift nurses, with no significant difference between shifts. Similarly, no significant differences were found in daytime sleepiness (7.49 ± 4.47 vs. 7.51 ± 4.65), sleep disturbance (24.71 ± 7.33 vs. 25.23 ± 6.64), psychological resilience (18.42 ± 4.19 vs. 17.89 ± 4.74), or depression (3.22 ± 2.60 vs. 3.49 ± 3.35). Nurses exhibited mild sleep disturbances, low depression tendencies, and moderate psychological resilience. Increased daytime sleepiness and sleep disorders correlated with higher depression tendencies and lower psychological resilience. Hospital management and education units are recommended to conduct interventions on sleep quality, depression, and psychological resilience to raise awareness among nurses., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objectives: The association between occupational psychosocial factors and mental health has been studied in several systematic reviews. However, few systematic reviews exist that specifically address suicidal ideation. Therefore, this systematic review and meta-analysis aimed to examine the associations between long working hours, shift work, and suicidal ideation., Methods: We systematically screened and collected studies published between January 1970 and September 2022 from three electronic databases and Google Scholar. We conducted a meta-analysis using a random-effects model and assessed the risk of bias using a navigation guide. Additionally, the grading of recommendations assessment, development and evaluation (GRADE) approach was used to consider five items, including the risk of bias and publication bias., Results: Twenty-eight articles were included in this meta-analysis. After adjusting for covariates, the overall odds ratio (OR) for long working hours and shift work were 1.44 [95% confidence interval (CI) 1.26-1.63] and 1.34 (95% CI 1.22-1.47), respectively. Compared with those who worked <40 hours per week, those who worked >55 hours per week had a 1.65 (95% CI 1.37-1.98) higher risk of suicidal ideation, and fixed night shift workers had 1.37 (95% CI 1.03-1.83) higher risk than non-shift workers., Conclusions: Evidence has shown associations between long working hours, shift work, and suicidal ideation. Implementing evidence-based interventions to address these risk factors may help prevent the progression of suicidal ideation. However, further studies are critically needed, especially those using standardized exposure definitions and longitudinal data.

Objectives: This study aimed to evaluate the independent and interactive effects of changes in overtime and night shifts on burnout among nurses during the COVID-19 pandemic., Methods: Nurses working in an Italian university hospital (N=317) completed the Maslach Burnout Inventory in September 2019 and again in December 2020. Based on hospital administrative data, changes in overtime and night shifts in the same years were categorized into three groups each. Linear regressions were used to estimate 2020 burnout differences between exposure groups, controlling for 2019 burnout levels, demographic and work-related characteristics, and to test the interaction between the two exposures., Results: Nurses in the onset of high overtime group had higher emotional exhaustion [4.33, 95% confidence interval (CI) 1.74-6.92], depersonalization (2.10, 95% CI 0.49-3.71), and poor personal accomplishment (2.64, 95% CI 0.55-4.74) compared to stable low overtime nurses. Nurses in the increase in night shifts group had lower emotional exhaustion (-4.49, 95% CI -7.46- -1.52) compared to no night shift nurses. Interaction analyses revealed that this apparently paradoxical effect was limited to stable low overtime nurses only. Moreover, increases in night shifts were associated with higher depersonalization and poor personal accomplishment in nurses in the stable high overtime group., Conclusions: Increase in overtime is an independent risk factor for burnout among nurses, highlighting the need for specific regulations and actions to address it. Long-standing guidelines for the assignment of night shifts might have contributed to attenuate the impact of their increase on nurses' mental health.

Introduction: Rotating shiftwork schedules are known to disrupt sleep in a manner that can negatively impact safety. Consumer sleep technologies (CSTs) may be a useful tool for sleep tracking, but the standard feedback provided by CSTs may not be salient to shift-working populations. SleepTank is an app that uses the total sleep time data scored by a CST to compute a percentage that equates hours of sleep to the fuel in a car and warns the user to sleep when the "tank" is low. Royal Australian Navy aircraft maintenance workers operating on a novel rotational shift schedule were given Fitbit Versa 2s to assess sleep timing, duration, and efficiency across a 10-week period. Half of the participants had access to just the Fitbit app while the other half had access to Fitbit and the SleepTank app. The goal of this study was to evaluate differences in sleep behavior between shifts using an off-the-shelf CST and to investigate the potential of the SleepTank app to increase sleep duration during the 10-week rotational shift work schedule., Materials and Methods: Royal Australian Navy volunteers agreed to wear a Fitbit Versa 2 with the SleepTank app (SleepTank condition), or without the SleepTank app (Controls), for up to 10 weeks from May to July 2023 during the trial of a novel shift rotation schedule. Participants from across 6 units worked a combination of early (6:00 AM to 2:00 PM), day (7:30 AM to 4:30 PM), late (4:00 PM to 12:00 AM), and night shifts (12:00 AM to 6:00 AM) or stable day shifts (6:00 AM to 4:00 PM). Differences in sleep behavior (time in bed, total sleep time, bedtime, wake time, sleep efficiency [SE]) between conditions and shift types were tested using Analysis of Variance. This study was approved by the Australian Departments of Defence and Veterans' Affairs Human Research Ethics Committee., Results: Thirty-four participants completed the full study (n = 17 Controls; n = 17 SleepTank). There was a significant effect of shift type on 24-hour time in bed (TIB24; F(4,9) = 8.15, P < .001, η2 = 0.15) and total sleep time (TST24; F(4,9) = 8.54, P < .001, η2 = 0.18); both were shorter in early shifts and night shifts compared to other shift types. TIB24 and TST24 were not significantly different between conditions, but there was a trend for greater SE in the SleepTank condition relative to Controls (F(1,9) = 2.99, P = .08, η2 = 0.11)., Conclusions: Sleep data collected by Fitbit Versa 2s indicated shorter sleep duration (TIB24, TST24) for Royal Australian Navy workers during early and late shifts relative to stable day shifts. Access to the SleepTank app did not greatly influence measures of sleep duration but may be protective against fatigue by affecting SE. Further research is needed to evaluate the utility of the SleepTank app as a means of improving sleep hygiene in real-world, shift-working environments., (© The Association of Military Surgeons of the United States 2024. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site–for further information please contact journals.permissions@oup.com.)

Objective: To understand shift-level determinants of emergency physician (EP) burnout, relationships were tested between EP shift demands, stress, and fatigue., Method: EP ( n = 16) were assessed over 114 shifts that occurred before and during the COVID-19 pandemic. Salivary cortisol (an indicator of stress) and self-reported fatigue were collected prior to and following each shift. An objective crowding score (National Emergency Department Overcrowding Scale) per shift was calculated. Shift demands were assessed at the end of each shift., Results: Multilevel models revealed that shift demands, National Emergency Department Overcrowding Scale, and the pandemic were related to higher levels of end-of-shift cortisol, but not fatigue. Cortisol levels were higher for shifts with a higher number of demands, greater crowding, and during the pandemic., Conclusions: Shift demands predicted objective indicators of stress, but not self-reported fatigue. Interventions are needed to decrease stress and shift demands to reduce EP burnout., Competing Interests: Conflicts of interest: None declared., (Copyright © 2024 American College of Occupational and Environmental Medicine.)

Background: The shift work schedule is a common work arrangement that can disrupt typical sleep-wake rhythms and lead to negative health consequences. The present study aims to examine the effect of shift work on health-related quality of life (QoL) and explore potential behaviorial mediators (i.e., sleep, eating, exercise, smoking, drinking)., Methods: A cross-sectional survey was conducted among 4,449 petroleum workers in southwest China. Data on shift work status, health behaviors, and physical and mental health QoL were collected. We tested our model using path analysis and the Monte Carlo approach among 2,129 included participants., Results: After adjusting for covariates, shift work did not exhibit a significant direct association with QoL. However, shift work indirectly related to poorer physical health quality of life via less frequent healthy food consumption; shift work also indirectly related to poorer mental health QoL via both less frequent healthy food consumption and physical exercise. No significant indirect effects were found via sleeping, smoking, or drinking., Conclusions: Results suggest that shift work presents a challenge for QoL among Chinese petroleum workers due to their lesser engagement in two specific health behaviors: healthy eating and physical exercise. Healthy eating and exercise may present an even more prominent threat to shift workers' QoL than sleep and substance use. Strategies targeting shift work schedule as well as eating and exercise behaviors may help protect against poor QoL and adverse physical and mental health outcomes in this vulnerable group., (© 2024. The Author(s).)

Aims: The objective of this study is to explore the various latent categories within the sleep quality of night shift nurses and to investigate whether shift-related factors predispose nurses to higher levels of occupational stress and anxiety., Design: This is a cross-sectional study., Methods: From November to December 2020, registered nurses from 18 tertiary hospitals and 16 secondary hospitals in Chongqing were selected through convenience sampling for this study. Latent class analysis was used to investigate the sleep quality of nurses working night shifts. Furthermore, univariate analysis and logistic multivariate analysis were utilized to identify the contributing factors to occupational stress and anxiety., Results: The four latent categories of Pittsburgh Sleep Quality Index for night shift nurses were identified as 'Low Sleep Disorder Group' (56.34%), 'Moderate Sleep Disorder Group' (37.27%), 'High Sleep Disorder Non-Reliant on Sleeping medication Group' (4.89%) and 'High Sleep Disorder Reliant on Sleeping medication Group' (1.50%). The results showed that having a night-shift frequency of 3-4 times per month, night-shift durations of 9-12 h, sleep time delay after night shift (≥2 h), total sleep time after night shift less than 4 h were shift-related factors that increased the levels of occupational stress and anxiety., Conclusion: The sleep quality of night shift nurses demonstrates heterogeneity and can be classified into four latent categories. Higher frequency of night shifts, extended work hours and insufficient rest time are all associated with increased levels of occupational stress and anxiety., Impact: By identifying the four latent categories of sleep quality among night shift nurses, this study sheds light on the relationship between sleep patterns and levels of occupational stress and anxiety. These findings have important implications for healthcare institutions in the management of nurse well-being and work schedules., Patient or Public Contribution: No patient or public contribution., (© 2024 John Wiley & Sons Ltd.)

This study delved into the complex effects of work schedules on the well-being of healthcare professionals, spotlighting Nigeria's medical landscape. A diverse cohort of 387 participants, spanning doctors, nurses, pharmacists, and laboratory technicians or scientists, formed the research base, with the majority being women (67.7%), with a mean age of 34.67 years. Professionals self-reported their predominant schedules to gauge work patterns, classifying them as day or night shifts. The World Health Organization Quality of Life Brief Version (WHOQOL-BREF) tool assessed the quality of life across the physical, psychological, social relationship, and environmental domains. Psychological distress was measured using the Depression, Anxiety, and Stress Scales (DASS), and perceived social support was evaluated via the Multidimensional Scale of Perceived Social Support (MSPSS). A cross-sectional design was adopted, and the study employed moderated mediation analysis using SmartPLS 4.0. The results underscored the significant ramifications of night shifts on environmental and physical well-being. Psychological health and social relationships were better among day shift than night shift workers. There was a pronounced correlation between night shifts and heightened levels of anxiety, stress, and depression. The mediating role of psychological distress and the moderating influence of social support in these relationships were evident. This study offers invaluable insights into the role of work schedules in shaping the well-being of healthcare professionals, emphasising the protective role of social support and the unique challenges faced by migrant health workers., (© 2024. The Author(s).)

Objectives: This study investigated the relationship between night work, supervisor support, and depressive symptoms among full-time wage workers, with a focus on gender differences., Methods: A nationwide sample of 22,422 full-time wage workers from the Sixth Korean Working Conditions Survey (2020-2021) was analyzed. Experiences of night work were categorized into 5 groups based on the number of night work days per month: 0, 1-5, 6-10, 11-15, and 16-31. Depressive symptoms were evaluated using the 5-item World Health Organization Well-Being Index. Supervisor support was assessed with 5 items., Results: Workers who engaged in 1-5 days (prevalence ratio [PR], 1.23; 95% confidence interval [CI], 1.12 to 1.36) and 6- 10 days (PR, 1.17; 95% CI, 1.06 to 1.30) of night work per month exhibited a higher prevalence of depressive symptoms than those without night work. After stratifying by supervisor support levels, workers with 1-5 days, 6-10 days, and 11-15 days of night work per month were more likely to experience depressive symptoms compared to those without night work in the low supervisor support group. In contrast, no association was found between night work (≥6 days) and depressive symptoms in the high supervisor support group. Furthermore, gender differences were notable: female workers with 6-10 days (PR, 1.45; 95% CI, 1.23 to 1.70), and 11-15 days (PR, 1.43; 95% CI, 1.08 to 1.90) of night work per month exhibited a higher prevalence of depressive symptoms, whereas their male counterparts did not. This pattern of gender difference was also found among those with low supervisor support., Conclusions: Supervisor support may mitigate the adverse effects of night work on depressive symptoms among full-time wage workers, with differences manifested across genders.

Background: Shift work affects the mental and physical health of nurses, yet the effect of working irregular shifts on sleep and its association with the need for recovery is under-explored., Objective: The purpose of this study was to investigate the sleep quality of nurses working irregular shifts, including night shifts, and to determine whether sleep quality is associated with the need for recovery., Methods: This cross-sectional study included 405 nurses working irregular shifts. Data were collected using an online questionnaire that included sociodemographic characteristics, the Sleep-Wake Experience List, sleep problems, sleep duration, and the Need for Recovery scale. Data analyses included descriptive statistics, chi-square tests, t-tests, logistic and multiple linear regressions., Results: Nurses who worked irregular shifts had poor sleep quality. Those who also worked night shifts, had significantly poorer sleep quality and experienced more difficulties in daily functioning than those who did not work night shifts. Sleep quality was significantly associated with the need for recovery and this remained so after controlling for confounding variables (β= .554, p = .001)., Conclusion: The findings indicate that in nurses who work irregular shifts, the sleep quality is low. In this group, the sleep quality in nurses who work night shifts is lower than in nurses who do not work night shifts. Furthermore, better sleep quality was associated with lower need for recovery. These findings suggest that improving sleep quality in nurses working irregular shifts may lower their need for recovery, which may improve health, and reduce burnout and sickness absence.

This study examines the associations between working night shifts and various outcomes, including sleep patterns, healthcare workers' sleep quality, and physical, mental, and social well-being. A descriptive cross-sectional study was conducted, where the findings revealed that night shift healthcare workers experienced poor sleep quality and pattern. In addition, night shift healthcare workers were more likely to express their intent to leave, the impact of work on their social lives, and a low level of job satisfaction. Healthcare workers showed moderate anxiety and mild depression levels. Lower job satisfaction correlated with higher anxiety and depression levels among healthcare workers, while the negative impact of working hours on social life was associated with increased anxiety and depression. Organizations should consider establishing comprehensive wellness initiatives covering work-life balance, stress management strategies, and mental health resources.

Background: Rotating shift work is common in high-hazard industries, despite documented associations with sleep disturbance and impairment. In the oil industry, where rotating and extended shift schedules are used to staff safety-sensitive positions, work intensification and increasing overtime rates have been broadly documented over the last few decades. Research on the impacts of these work schedules on sleep and health has been limited for this workforce., Methods: We examined sleep duration and quality among rotating shift workers in the oil industry and explored associations between schedule characteristics, sleep, and health outcomes. We recruited hourly refinery workers from the West and Gulf Coast oil sector members of the United Steelworkers union., Findings: Impaired sleep quality and short sleep durations were common and associated with health and mental health outcomes common among shift workers. Shortest sleep durations followed shift rotations. Early rise and start times were associated with shorter sleep duration and poorer sleep quality. Drowsiness and fatigue-related incidents were common., Conclusion/application to Practice: We observed lower sleep duration and quality and increased overtime in 12-hour rotating shift schedules. These long workdays with early start times may reduce available hours for quality sleep; here they were associated with reduced exercise and leisure activity which correlated with good sleep. This safety-sensitive population appears severely impacted by poor sleep quality, which has broader implications for process safety management. Later start times, slower rotation, and a reconsideration of two-shift schedules are interventions to consider for improving sleep quality among rotating shift workers.

Shift workers have a 25 to 40% higher risk of depression and anxiety partly due to a misalignment between the central circadian clock and daily environmental/behavioral cycles that may negatively affect mood and emotional well-being. Hence, evidence-based circadian interventions are required to prevent mood vulnerability in shift work settings. We used a stringently controlled 14-d circadian paradigm to assess mood vulnerability during simulated night work with either daytime and nighttime or daytime-only eating as compared with simulated day work (baseline). Simulated night work with daytime and nighttime eating increased depression-like mood levels by 26.2% ( p -value adjusted using False Discovery Rates, p FDR = 0.001; effect-size r = 0.78) and anxiety-like mood levels by 16.1% ( p FDR = 0.001; effect-size r = 0.47) compared to baseline, whereas this did not occur with simulated night work in the daytime-only eating group. Importantly, a larger degree of internal circadian misalignment was robustly associated with more depression-like ( r = 0.77; P = 0.001) and anxiety-like ( r = 0.67; P = 0.002) mood levels during simulated night work. These findings offer a proof-of-concept demonstration of an evidence-based meal timing intervention that may prevent mood vulnerability in shift work settings. Future studies are required to establish if changes in meal timing can prevent mood vulnerability in night workers.

Adequate pain management is one of the biggest challenges of the modern healthcare system. Physician perception of patient subjective pain, which is crucial to pain management, is susceptible to a host of potential biases. Here we explore the timing of physicians' work as a previously unrecognized source of systematic bias in pain management. We hypothesized that during night shifts, sleep deprivation, fatigue, and stress would reduce physicians' empathy for others' pain, leading to underprescription of analgesics for patient pain relief. In study 1, 67 resident physicians, either following a night shift or not, performed empathy for pain assessment tasks and simulated patient scenarios in laboratory conditions. As predicted, following a night shift, physicians showed reduced empathy for pain. In study 2, we explored this phenomenon in medical decisions in the field. We analyzed three emergency department datasets from Israel and the United States that included discharge notes of patients arriving with pain complaints during 2013 to 2020 ( n = 13,482). Across all datasets, physicians were less likely to prescribe an analgesic during night shifts (compared to daytime shifts) and prescribed fewer analgesics than generally recommended by the World Health Organization. This effect remained significant after adjusting for patient, physician, type of complaint, and emergency department characteristics. Underprescription for pain during night shifts was particularly prominent for opioids. We conclude that night shift work is an important and previously unrecognized source of bias in pain management, likely stemming from impaired perception of pain. We consider the implications for hospitals and other organizations employing night shifts.

The current study explores the effect of nightshift work on the decision-making competence and performance of the Iowa Gambling Task (IGT) and analyzes whether individual differences in the need for cognition (NFC) can moderate this effect. A total of 107 female nurses were recruited to complete the decision-making competence scale and IGT at two times, after a night shift and after a day shift. The results revealed that the IGT scores and decision-making competence of nurses after nightshift work significantly declined, and also that the decrease in decision-making competence was related to the nurses' performance of the IGT. Additionally, the decreasing degree of IGT and decision-making competence scores of the high-NFC group were significantly lower than those of the low-NFC group after nightshift work. In can be concluded that the decrease in decision-making competence which was related with poor decision-making due to nightshift work. NFC moderated the effect of nightshift work on decision-making., (© 2022. The Author(s).)

Objectives: Studies concerning the risk of metabolic syndrome associated with night work have shown inconsistent findings, due to imprecise working time data and cross-sectional design. We used register-based daily working time data to examine the risk of incident metabolic syndrome associated with night shift work., Methods: Working time data collected between 2010 and 2018 of 5775 Taiwanese hospital workers were used to identify night shift workers and to calculate the number of night shifts. Metabolic syndrome was identified by annual occupational health examination results, which were linked to the working time data. Logistic regression models and generalized estimating equations were used to examine the association between night shift work and metabolic syndrome and the 5 components of metabolic syndrome., Results: Night shift work is associated with a higher risk of developing metabolic syndrome (adjusted OR = 1.36, 95% CI = 1.04 to 1.78) and high waist circumference (adjusted OR = 1.27, 95% CI = 1.07 to 1.78) compared to day work. Among night shift workers, increased number of night shifts was associated with high blood pressure (adjusted OR = 1.15, 95% CI = 1.01 to 1.31)., Conclusions: Night shift work is associated with metabolic risk factors. Long-term effects of circadian rhythm disruption on metabolic disturbances needs to be further studied., Competing Interests: No authors have competing interests.

Competing Interests: Competing interests: None.

Objective: To explore the evidence on nurses' experiences and preferences around shift patterns in the international literature., Data Sources: Electronic databases (CINHAL, MEDLINE and Scopus) were searched to identify primary studies up to April 2021., Methods: Papers reporting qualitative or quantitative studies exploring the subjective experience and/or preferences of nurses around shift patterns were considered, with no restrictions on methods, date or setting. Key study features were extracted including setting, design and results. Findings were organised thematically by key features of shift work., Results: 30 relevant papers were published between 1993 and 2021. They contained mostly qualitative studies where nurses reflected on their experience and preferences around shift patterns. The studies reported on three major aspects of shift work: shift work per se (i.e. the mere fact of working shift), shift length, and time of shift. Across all three aspects of shift work, nurses strive to deliver high quality of care despite facing intense working conditions, experiencing physical and mental fatigue or exhaustion. Preference for or adaptation to a specific shift pattern is facilitated when nurses are consulted before its implementation or have a certain autonomy to self-roster. Days off work tend to mitigate the adverse effects of working (short, long, early or night) shifts. How shift work and patterns impact on experiences and preferences seems to also vary according to nurses' personal characteristics and circumstances (e.g. age, caring responsibilities, years of experience)., Conclusions: Shift patterns are often organised in ways that are detrimental to nurses' health and wellbeing, their job performance, and the patient care they provide. Further research should explore the extent to which nurses' preferences are considered when choosing or being imposed shift work patterns. Research should also strive to better describe and address the constraints nurses face when it comes to choice around shift patterns., Competing Interests: The authors have declared that no competing interests exist.

Background: Fatigue mitigation strategies among night shift workers can include deliberate use of restful work breaks, taking naps, and consuming caffeine. However, nurses have frequently reported missing break opportunities, and the rationale for missed breaks remains unclear. The purpose of this study was to describe and interpret the lived experience of hospital night shift nurses taking breaks and the meaning of this phenomenon as it relates to the workplace., Methods: Registered nurses ( n = 16) from a U.S. community hospital were interviewed about how they took rest breaks during their shift. Data were analyzed with methods consistent to interpretive phenomenology., Findings: Identified themes about the breaks included (a) breaks are a time to eat, (b) breaks are inconsistently supported by unit-level structures and processes, and (c) breaks are a luxury, not a right., Conclusions/applications to Practice: Nurses in this study reported an absence of consistent and restorative breaks. Organizations should analyze gaps within systems and processes to optimize a consistent, restorative nature of the break experience among nurses working night shift.

Background: Many studies have reported an association between overwork, shift work, and chronic disease. However, there is little research on the influence of working hours and shift work and management of chronic diseases. The objective of this retrospective study was to examine the association between working hours, shift work type in workers with hypertension, diabetes, and dyslipidemia., Methods: Among 18,513 hourly wageworkers from the Korea National Health and Nutrition Examination Survey, 4,313 with hypertension, diabetes, and hyperlipidemia were selected. An analysis of covariance with general linear modeling was used to estimate group differences in clinical indices of chronic diseases according to weekly working hours and types of shift work, both unadjusted and adjusted for gender, age, education, marital status, household income, and medication usage., Findings: Clinical indicators were worse in workers with diabetes (differences in HbA1c = 0.15%; fasting blood glucose = 4.84 mg/dL), hypertension (differences in diastolic blood pressure = 1.2 mmHg), or dyslipidemia (differences in total cholesterol = 3.3 mg/dL) who worked for more than 40 hours/week compared with workers who worked less than 40 hours per week. Clinical indicators in workers with diabetes and hypertension were worse in shift workers, including evening and night shifts, relative to those who did not work shiftwork., Conclusions/application to Practice: Working more than 40 hours per week and shift work were negatively associated with adverse clinical indicators among workers with chronic diseases. To improve the health of workers with chronic diseases, these findings suggest that adjustment of working hours and shift work may be warranted.

Background: Suicide is the leading cause of death in young adults in Korea. Stress in the workplace affects the suicide rate; young female workers are particularly vulnerable to adverse work environments. We investigated the relationships of shift work, sleep, and work stress to suicidal ideation., Methods: This study used data from 508 female workers aged 22-40 years in an electronics company. Data on baseline characteristics, work patterns, sleep quality (using the Pittsburgh Sleep Quality Index), and work stress levels using the Korean Occupational Stress Scale (KOSS) were obtained from questionnaires. We examined associations between suicidal ideation and shift work, sleep quality, and KOSS scores., Results: Suicidal ideation was significantly higher among shift workers (odds ratio [OR], 2.38; 95% confidence interval [CI], 1.31-4.32), those with poor sleep (OR, 2.84; 95% CI, 1.68-4.84), and those with high work stress (OR, 3.30; 95% CI, 1.82-6.00). Both 3 × 12 h shift workers (OR, 2.98; 95% CI, 1.35-6.57) and 4 × 8 h shift workers (OR, 2.14; 95% CI, 1.03-4.45) had increased suicidal ideation. High work stress (OR, 11.55; 95% CI, 2.93-45.48) had stronger associations with suicidal ideation than poor sleep (OR, 3.86; 95% CI, 1.21-12.33) in shift workers. The combined effect of poor sleep and high KOSS on suicidal ideation was stronger in shift workers (OR, 13.39; 95% CI, 3.22-55.62) than day workers (OR, 4.31; 95% CI, 1.03-18.01)., Conclusions: Shift workers are more vulnerable than day workers to the combination of work stress and poor sleep quality as well as to work stress alone., (© 2021 Wiley Periodicals LLC.)

Purpose: To investigate the relationship between self-reported everyday memory problems the last month, and: (a) shift work schedule, (b) night shifts and quick returns worked the last year, and (c) sleep duration the last month., Methods: In all, 1,275 nurses completed the Everyday Memory Questionnaire - revised, and answered questions about shift work exposure and sleep duration. We performed multiple linear regression analyses with memory score as dependent variable, and the shift work exposure variables as well as sleep duration as predictors, while adjusting for potential confounders., Findings: High exposure to quick returns (β = .10, p < .05) and short sleep duration (β = .10, p < .05) were both positively associated with memory problems, whereas shift work schedule, long sleep duration, night shift exposure, and low and moderate exposure to quick returns were not., Discussion: Frequent insufficient time for rest between shifts as well as short sleep was associated with poorer everyday memory., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Introduction: Traditionally, shift work for radiographers at our institution comprised of three shift patterns - morning (8am-2pm), afternoon (2pm-9pm) and night (9pm-8am). However, when COVID-19 was first detected in Singapore in January 2020, the 12-h shift was introduced for better team segregation and deployment to meet the service needs of the Emergency Department. The 12-h shift consisted of the day (9am-9pm) and night (9pm-9am) shifts. While the 12-h shift is common to nursing practices, it is new to the radiography profession within the study centre. This study explores the radiographers' perspectives of the new shift and the impact of shift patterns on radiographers' wellness and work performance compared to the original three shift patterns., Methods: A mixed-methods design study was adopted for this single-centre evaluation. An anonymous online questionnaire was administered to radiographers who had experienced both shift types. Additionally, the number of radiographers who had taken sick leave, and images rejected and accepted from the X-ray consoles were retrospectively collected to measure the impact of the new shift., Results: Radiographers experienced fatigue and appreciated the longer rest days associated with the 12-h shift. Additionally, the sick leave rates and image reject counts were more favourable with the 12-h shift pattern., Conclusion: The findings indicate that the extended shift hours are effective during a pandemic but may result in radiographer burnout during a prolonged outbreak., Implications for Practice: Studying these variables will provide an effective starting point in understanding the efficacy and applicability of a 12-h shift system during pandemic periods., Competing Interests: Conflict of interest statement None., (Copyright © 2020 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.)

Purpose: To evaluate the effect around nurses' shift change and on-call physicians' shift change on obstetrical outcomes., Methods: A retrospective study of women who had an attempt of labor in a single-medical center, January 2006-December 2017. Obstetrical outcomes were compared between the time around nurses' shift change (6:00-8:00, 14:00-16:00, and 22:00-00:00) to the rest of the day, and between the time around on-call physicians' shift change (6:00-8:00, 14:00-16:00) to the rest of the day., Results: 32,861 women were included, 7826 deliveries occurred during nurses' shift-change, and 25,035 deliveries occurred during the rest of the day. The groups had similar general and obstetrical characteristics, with no statistical difference in cesarean delivery rate (10% vs. 9.8%, P = 0.45) (Table 1). Nurses' shift change had no measurable effect on obstetrical outcomes, including induction of labor, preterm labor, 5-min-Apgar score and cord pH value, except PPH which was less likely to occur during nurses' shift change period (3.8% vs. 4.4%, P = 0.045) (Table 2). From 32,861 deliveries, 5155 deliveries occurred during on-call physicians' shift-change, and 27,706 deliveries occurred during the rest of the day. Induction\augmentation of labor and epidural analgesia were less likely to happen during on-call physicians' shift change (34.4% vs. 38%, P < 0.0001, 59.6% vs. 61.8%, P = 0.003, respectively) (Table 3). The two groups had similar obstetrical outcomes, without statistical difference in cesarean delivery rate (10% vs. 9.8%, P = 0.63) (Table 4). Table 1 General and obstetric characteristics of women giving birth during the time of nurses shift change versus during the rest of the day Variable Change of nurses shifts (n = 7826) All other hours of the day (n = 25,035) P value Maternal age, y 30.3 ± 5.1 30.2 ± 5.2 0.09 Gestational age at birth (weeks) 39.7 ± 1.09 39.8 ± 1.10 0.55 Nulliparity 2077 (35%) 7067 (37%) 0.01 Induction\augmentation of labor 2905 (37) 9368 (38) 0.62 Epidural analgesia 4746 (61) 15,396 (62) 0.16 Neonatal birth weight, g 3340 ± 422 3330 ± 423 0.06 Data is presented as mean ± S.D or N (%) Table 2 Maternal and neonatal adverse outcomes of women giving birth during the time of nurses shift change versus during the rest of the day Variable (%) Change of nurses shifts (n = 7826) All other hours of the day (n = 25,035) P value Vacuum assisted delivery 615 (7.9) 2002 (8.0) 0.69 Cesarean delivery 788 (10) 2443 (9.8) 0.45 Postpartum hemorrhage 294 (3.8) 1089 (4.4) 0.045 Third- and fourth-degree perineal laceration 106 (1.4) 372 (1.5%) 0.51 5-min Apgar score < 7 39 (0.5) 139 (0.6) 0.65 Umbilical pH < 7.2 170 (23) 580 (23) 0.96 Prolonged second stage 190 (2.5) 559 (2.2) 0.22 Maternal and fetal composite adverse outcome* 1309 (16.7%) 4219 (16.9%) 1.00 Data is presented as N (%) *Maternal and fetal composite adverse outcome was defined as the presence of any of the following: vacuum delivery, CD, prolonged second stage, postpartum hemorrhage, third and fourth degree perineal laceration, 5-min Apgar score < 7 and umbilical cord pH < 7.2 Table 3 General and obstetric characteristics of women giving birth during the time of the on-call physicians shift change versus during the rest of the day Variable Change of physicians shifts (n = 5155) All other hours of the day (n = 27,706) P value Maternal age, years 30.3 ± 5.1 30.2 ± 5.2 0.38 Gestational age at birth (weeks) 39.8 ± 1.09 39.8 ± 1.10 0.95 Nulliparity (%) 1303 (33.4) 7841 (37)  < 0.0001 Induction\augmentation of labor (%) 1769 (34.3) 10,504 (38)  < 0.0001 Epidural analgesia (%) 3067 (59.6) 17,075 (61.8) 0.003 Neonatal birth weight (gr) 3345 ± 416 3330 ± 424 0.019 Data is presented as mean ± S.D or N (%) Table 4 Maternal and neonatal adverse outcomes of women giving birth during the time of physicians on-call shift change versus during the rest of the day Variable (%) Change of physicians shifts (n = 5155) All other hours of the day (n = 27,706) P value Vacuum assisted delivery 397 (7.7) 2220 (8.0) 0.45 Cesarean delivery 517 (10.0) 2714 (9.8) 0.63 Postpartum hemorrhage 209 (4.1) 1174 (4.3) 0.54 Third- and fourth-degree perineal laceration 67 (1.3) 411 (1.5) 0.31 5-min Apgar score < 7 22 (0.5) 156 (0.6) 0.30 Umbilical pH < 7.2 94 (20.3) 656 (23.3) 0.15 Prolonged second stage 127 (2.5%) 622 (2.3%) 0.36 Maternal and fetal composite adverse outcome* 852 (16.5%) 4676 (16.9%) 1.00 Data is presented as N (%) *Maternal and fetal composite adverse outcome was defined as the presence of any of the following: vacuum delivery, CD, prolonged second stage, postpartum hemorrhage, third and fourth degree perineal laceration, 5-min Apgar score < 7 and umbilical cord pH < 7.2 CONCLUSION: Nurses' shift change and on-call physicians' shift change does not appear to be associated with an increase in adverse maternal or neonatal outcomes.

Objective: To explore the association of circadian rhythm disruption with polycystic ovary syndrome (PCOS) and the potential underlying mechanism in ovarian granulosa cells (GCs)., Design: Multicenter questionnaire-based survey, in vivo and ex vivo studies., Setting: Twelve hospitals in China, animal research center, and research laboratory of a women's hospital., Patients/animals: A total of 436 PCOS case subjects and 715 control subjects were recruited for the survey. In vivo and ex vivo studies were conducted in PCOS-model rats and on ovarian GCs collected from women with PCOS and control subjects., Intervention(s): The PCOS rat model was established with the use of testosterone propionate., Main Outcome Measure(s): Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq), RNA sequencing, rhythmicity analysis, functional enrichment analysis., Result(s): There was a significant correlation between night shift work and PCOS. PCOS-model rats presented distinct differences in the circadian variation of corticotropin-releasing hormone, adrenocorticotropic hormone, prolactin, and a 4-h phase delay in thyrotropic hormone levels. The motif enrichment analysis of ATAC-seq revealed the absence of clock-related transcription factors in specific peaks of PCOS group, and RNA sequencing ex vivo at various time points over 24 hours demonstrated the differential rhythmic expression patterns of women with PCOS. Kyoto Encyclopedia of Genes and Genomes analysis further highlighted metabolic dysfunction, including both carbohydrate and amino acid metabolism and the tricarboxylic acid cycle., Conclusion(s): There is a significant association of night shift work with PCOS, and genome-wide chronodisruption exists in ovarian GCs., (Copyright © 2020 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)

Hospital staff are at the frontline in the COVID-19 outbreak. The stressors they experience may induce sleep problems in a population already at risk. Sleep deprivation, long shifts and insomnia in hospital staff have been associated with individual, organizational and public health hazards. These include increased risk of mental and somatic disorders, altered immune responses, medical errors, misunderstandings, drowsy driving and burnout. In March 2020, the World Health Organization called for providing access to mental health and counselling for health professionals involved in the COVID-19 outbreak. To answer this call, we propose practical advice for the management of sleep problems (sleep deprivation, insomnia and shift work) that can be included in supportive interventions. The advice is based on psychobiological principles of sleep regulation and on guidelines for the treatment of insomnia and was implemented within an initiative offering psychological support to the staff of three university hospitals in Rome., (© 2020 European Sleep Research Society.)

Individuals who regularly shift their sleep timing, like night and/or shift-workers suffer from circadian desynchrony and are at risk of developing cardiometabolic diseases and cancer. Also, shift-work is are suggested to be a risk factor for the development of mood disorders such as the burn out syndrome, anxiety, and depression. Experimental and clinical studies provide evidence that food intake restricted to the normal activity phase is a potent synchronizer for the circadian system and can prevent the detrimental health effects associated with circadian disruption. Here, we explored whether adult male Wistar rats exposed to an experimental model of shift-work (W-AL) developed depressive and/or anxiety-like behaviors and whether this was associated with neuroinflammation in brain areas involved with mood regulation. We also tested whether time-restricted feeding (TRF) to the active phase could ameliorate circadian disruption and therefore would prevent depressive and anxiety-like behaviors as well as neuroinflammation. In male Wistar rats, W-AL induced depressive-like behavior characterized by hypoactivity and anhedonia and induced increased anxiety-like behavior in the open field test. This was associated with increased number of glial fibrillary acidic protein and IBA-1-positive cells in the prefrontal cortex and basolateral amygdala. Moreover W-AL caused morphological changes in the microglia in the CA3 area of the hippocampus indicating microglial activation. Importantly, TRF prevented behavioral changes and decreased neuroinflammation markers in the brain. Present results add up evidence about the importance that TRF in synchrony with the light-dark cycle can prevent neuroinflammation leading to healthy mood states in spite of circadian disruptive conditions., (© 2020 Wiley Periodicals LLC.)

Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue. Galvanic Skin Response, energy expenditure and physical activity (BodyMedia SenseWear Armband) were also recorded across the shift schedule. Paramedics were monitored for a period of eight consecutive days across pre-shift, day shift, night shift, and 2 days off. Fifteen paramedics (M age = 39.5 and SD = 10.7 years) who worked rotational shifts experienced sleep restriction during night shift compared to pre-shift, day shift and days off (p < 0.001). Night shift was also associated with higher levels of stress (p < 0.05), fatigue (p < 0.05), and sleepiness (p < 0.05). One day off was related to a return to pre-shift functioning. Such shift-related issues have a compounding negative impact on an already stressful occupation with high rates of physical and mental health issues. Therefore, there is an urgent need to investigate methods to reduce rotating shift burden on the health of paramedics. This could be through further research aimed at providing recommendations for shift work schedules with sufficient periods for sleep and recovery from stress.

Objectives: This study explored the relationship between shift intensity and insomnia among hospital nurses., Methods: The participants were 386 female hospital nurses who underwent a special health examination for night workers in 2015. The Korean Insomnia Severity Index (ISI), indices of shift work intensity, and other covariates such as amount of exercise, level of alcohol consumption, employment duration, and hours worked were extracted from the health examination data. The indices for shift intensity were (1) number of 3 consecutive night shifts and (2) number of short recovery periods after a previous shift, both assessed over the prior 3 months. Multiple logistic regression analysis adjusted for the aforementioned covariates was performed to evaluate the association of shift intensity with insomnia, defined as an ISI score of ≥8., Results: The nurses with insomnia tended to be younger (p=0.029), to have worked 3 consecutive night shifts more frequently (p&lt;0.001), to have experienced a greater number of short recovery periods after the previous shift (p=0.021), and to have worked for more hours (p=0.006) than the nurses without insomnia. Among the other variables, no statistically significant differences between groups were observed. Experiences of 3 or more consecutive night shifts (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.29 to 4.20) and 3 or more short recovery periods (OR, 2.01; 95% CI, 1.08 to 3.73) were associated with increased odds of insomnia., Conclusions: The results suggest that decreasing the shift intensity may reduce insomnia among hospital nurses working rotating shifts.

Purpose: This study aimed to examine the effects of work environments and occupational fatigue on care left undone in rotating shift nurses, and to identify the indirect (mediation) effect of work environments on care left undone through nurses' occupational fatigue in South Korean acute care hospitals., Design: This study employed a cross-sectional design using an online survey to collect data from 488 rotating shift nurses of acute care hospitals in Korea between November and December 2018., Methods: A mobile schedule management application for shift nurses was used to advertise the study and to send a link to the online survey. The survey included questions on the nurses' work environment characteristics, care left undone activities, and the Korean version of the Occupational Fatigue Exhaustion/Recovery scale. Poisson regression was used to explore the relationships among work environments, occupational fatigue, and care left undone. Hayes' Model 4 and a bootstrapping analysis were used to identify the mediating effect of occupational fatigue on the relationship between work environments and care left undone., Findings: The average number of tasks left undone was 3.45 (SD = 2.19). The higher the acute and chronic fatigue levels noted among nurses, the higher were the occurrences of care left undone. Conversely, the higher the intershift recovery level, the lower were the occurrences of care left undone. The results showed a positive relationship between care left undone and overtime hours and the number of patients per nurse. Moreover, nurses' occupational fatigue mediated the relationship between work environments and care left undone. Night shifts per month and the number of consecutive days off had an indirect effect on care left undone through occupational fatigue., Conclusions: High levels of occupational fatigue and poor intershift recovery among nurses can lead to care left undone. Nurses' occupational fatigue mediates the effect of work environment on care left undone., Clinical Relevance: It is crucial for healthcare administrators and leaders to develop policies and mandatory regulations to facilitate better working conditions for nurses, consequently reducing their occupational fatigue and decreasing the occurrence of care left undone in acute care hospitals., (© 2020 Sigma Theta Tau International.)

Purpose: To clarify the subjective and objective impacts of a change in a 12-h shift schedule, involving a reduction in the number of crews, on workers at an electronic parts production company., Methods: Forty-two workers participated in this study. Subjective indicators (e.g. questionnaires) and objective indicators [e.g., psychomotor vigilance task (PVT)], as well as an activity monitor-based sleep assessment, were measured during a > 1-year period that encompassed the shift schedule change. The study outcome was a comparison of work-related injury rates measured 1 year before and after the change in shift schedule., Results: After the shift schedule change, questionnaire scores regarding work-related burdens and PVT performance parameters, including mean response time and number of lapses, increased significantly. However, we also observed divergences in the trends of the subjective and objective measures 1 year after the change. Despite these variations in both types of measures, we observed no significant differences in work-related injury rates measured before and after the shift schedule change., Conclusion: This study revealed that a reduction in the number of crews in a 12-h shift schedule has a negative impact on the subjective and objective indicator after the change in shift schedule; only indicators of alertness did not recover at 1 year after the change. Assessments of the workers' performances and the regular implementation of health and safety programs for more than 1 year are needed to maintain workers' health after the change in shift schedule.

Working the night shift can be fraught and experienced as demanding and, yet, is often dismissed as babysitting. Few researchers have explored the social and cultural meanings of night nursing, including storytelling rituals. In 2019, a narrative study was undertaken. The aim was to explore the stories recalled by nurses about working night shifts. Thirteen Australian nurses participated. Data were gathered using the Biographical Narrative Interview Method, and narrative analysis produced forty stories and three themes: strange and challenging experiences; colleagues can be mentors (or not); and textbook knowledge is only part of what is needed on night shift. Nursing students who engage with these stories may come to understand the challenges of the night shift, and the valuable work that nurses engage in throughout a 24-hr period, work that involves adept psychosocial and interpersonal skills alongside technical and physical competence., (© 2020 John Wiley & Sons Ltd.)

Introduction: The development of sleep disorders, and specifically insomnia, has been linked to the exposure to different stressors. In this line, Coronavirus disease 2019 (COVID-19) outbreak caused by the new coronavirus SARS-CoV-2, has caused a huge impact on our environment, and has exposed healthcare workers to an unprecedented threat. In this study, we try to assess sleep quality and the development of sleep disorders in health personnel directly dedicated to the care of COVID-19 patients at the height of the pandemic, compared to the general population., Materials and Methods: A cross-sectional, anonymized, self-reported questionnaire survey was carried out at the "12 de Octubre" Hospital, in Madrid, Spain, during the outbreak of COVID-19, from March 1st to April 30th 2020. We compared two groups, healthcare workers who have treated directly COVID-19 patients versus non-healthcare workers. The questionnaire included demographic data, sleep related aspects, Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI) and 17-items Hamilton Rating Scale (HRS)., Results: In total 170 participants completed the questionnaire successfully, 100 healthcare workers and 70 non-healthcare workers. Self-reported insomnia, nightmares, sleepwalking, sleep terrors and PSQI>6 were more frequent in the healthcare group (p < 0,05). Shift work was associated to greater risk when performing multiple logistic regression analysis., Conclusions: We observed that, during the outbreak of COVID-19, healthcare workers on the front line developed more sleep disturbances than non-healthcare professionals, and they had worse quality of sleep. Special attention should be paid to shift workers. Concrete protection and prevention measures for particularly exposed population should be considered in pandemic situations., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Objective: This study aimed to investigate the association between shift work, and burnout and distress, and differences by degree of satisfaction with shift schedule and its impact on private life., Methods: Population 4275 non-shift factory workers and 3523 rotating 5-shift workers. Workers participated between 2009 and 2016 one to three times in the companies' periodical occupational health checks. Burnout was measured using the distance, exhaustion and competence subscales of the Dutch Maslach Burnout Inventory and distress by the subscale of the Four-Dimensional Symptom Questionnaire (scale: 0-100). Multiple-adjusted linear mixed models were used to assess between- and within-subject associations between shift work and outcomes, and differences by age, years of shift work, and satisfaction with and impact of shift schedule., Results: Shift work was significantly associated with lower scores on burnout distance (B - 1.0, 95% - 1.8 to 0.3), and among those aged < 48 years with burnout exhaustion (range B - 1.3 to - 1.6). However, the effect sizes were small. Compared to non-shift workers, shift workers dissatisfied with their schedule and those experiencing a high impact on private life had significantly higher burnout (range B 1.7-6.3) and distress levels (range B 4.9-6.1). In contrast, satisfied shift workers and those experiencing a low impact of shift schedule had lower burnout (range B - 0.2 to - 2.2) and no difference in distress levels (P ≥ 0.05). No clear pattern by years of shift work was observed., Conclusions: Shift work was associated with burnout and distress in those who were dissatisfied with or who had perceived high impact on the private life of their shift schedule.

Background: The study assessed the effects of whole- or half-night shifts on leptin, melatonin, sex hormones, interleukin (IL)-1β, tumor necrosis factor-α (TNF-α), IL-6, hematological parameters, sleep quality and attentional performance in women working in the health sector., Materials and Methods: Women working whole-night shifts (16:00-08:00 hours, n = 20), half-night shifts (16:00-24:00 hours, n = 20) or day shifts (08:00-16:00 hours, n = 20) participated in the study. Blood pressure, respiratory rate, proximal skin temperature (forehead), blood glucose, leptin, melatonin, estradiol, progesterone, IL-1β, TNF-α, and IL-6 concentrations, complete blood count and erythrocyte sedimentation rate (ESR) were measured in the beginning and at the end of the shifts. The participants filled in sleep quality questionnaires and performed visual attention tests., Results: Half- and whole-night shifts caused problems in sleep duration and quality and disturbed the melatonin rhythm. Women working both half- and whole-night shifts had significantly higher nucleated erythrocytes (P = 0.006), eosinophils (P = 0.031), lymphocytes (P = 0.001) and leptin concentrations (P = 0.001) but had lower ESR (P = 0.046) and neutrophil percentage (P = 0.001) than that of day-time workers. Whole-night shifts caused additional changes including lower attentional performance (P = 0.035), lower platelet counts (P = 0.000) and lower estradiol levels (P = 0.029), but higher TNF-α levels (P = 0.000), than the control group. Moreover, whole-night shifts increased IL-1β levels before the shift (P < 0.001) and increased IL-6 levels over the half-night shifts (P < 0.05)., Conclusions: Half-night shifts disturbed sleep parameters and the melatonin rhythm, perturbed blood cell turnover and increased leptin levels. Whole-night shifts caused additional problems including suppressed estradiol, activated inflammatory responses and decreased visual attention. All together, the data suggest that night shifts, especially whole-night shifts, should be refrained from or countermeasures should be taken., (Copyright © 2019 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.)

Background: There is no standard and comprehensive questionnaire for reproductive health assessment among women shift workers. This study aimed at the development and psychometric evaluation of the Women Shift Workers' Reproductive Health Questionnaire., Methods: This sequential exploratory mixed-method study was conducted in a qualitative (item generation) and a quantitative (psychometric evaluation) phase. In the qualitative phase, the primary item pool of the questionnaire was generated based on the findings of the qualitative content analysis of 21 interviews held with 21 women shift workers as well as the findings of a literature review. In the quantitative phase, the face, content, construct, convergent, and discriminant validity and the reliability of the questionnaire were assessed. For construct validity assessment through exploratory and confirmatory factor analyses, 620 women shift workers were conveniently selected to fill out the questionnaire. Reliability assessment was done through assessing internal consistency, stability, and composite reliability., Results: The primary item pool contained 88 items. During face and content validity, item number was reduced to 55. Construct validity assessment through factor analysis revealed that 56.50% of the total variance was explained by five factors with 34 items. The factors were named motherhood, general health, sexual relationships, menstruation, and delivery. Confirmatory factor analysis confirmed the fit of the five-factor model. The Cronbach's alpha and the composite reliability value of the questionnaire were more than 0.7., Conclusion: The Women Shift Workers' Reproductive Health Questionnaire is a valid and reliable instrument and can be used for reproductive health assessment among women shift workers.

Objective: To explore care workers' experiences with a flexible planning of home-based postpartum care as an innovative instrument to facilitate more client-centred care., Design: A mixed-methods design with a primarily qualitative approach followed by a quantitative follow-up, according to the Priority-Sequence model., Setting: This study is part of a larger research project researching the health effects of a flexible planning in postpartum care. The new planning enables clients and care workers to spread and/or pause the care over 14 days postpartum instead of the standard planning of eight to ten consecutive days., Participants: Maternity home care workers who provide care according the flexible planning. Eight care workers were interviewed, another eight care workers participated in the focus group discussion, and 59 care workers filled in the survey., Findings: Two main unintended consequences of the flexible planning were found: 1. care workers experienced an undesirable 'shift in their tasks' along the course of the postpartum period and 2. were heavily worried about 'making enough contracted hours'. Consequently, care workers unwillingly performed much more domiciliary activities compared to the standard planning, especially during the final days of care., Key Conclusions: The predominant nursing tasks and responsibilities of care workers appeared insufficient to respond to clients' altering needs. In addition, shorter working days and on-call duties caused an undesired excessive high-level of flexibility among care workers. Consequently, care was paradoxically determined by organisational structures rather than clients' individual needs., Implications for Practice: Our study elucidated that co-creation together with health professionals is a prerequisite for successfully implementing innovations as their way of working and personal lives are profoundly affected., Competing Interests: Declarartion of Competing Interest No conflict of interest has been declared by the authors., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Background: Approximately 20% of the European labour force is involved in some type of shift work, with nurses being on the forefront. In Bosnia and Herzegovina, a specific work scheme is pervasive in the health care arena, where all nurses involved in shift work are committed to eight night shifts per month - unlike other European countries that restrict the number of night shifts. Accordingly, we aimed to investigate whether such shift work significantly affects psychosocial functioning and the quality of life of hospital nursing personnel in this country., Subjects and Methods: A comparative cross-sectional study design was applied on a total of 157 hospital nursing professionals at the University Clinical Hospital Mostar during 2019. Subjects were divided into two groups: a total of 51% study subjects worked in specific shifts (12-hour day shift / 24 hours off / 12-hour night shift / 48 hours off), while 49% subjects worked in accordance with the regular 7-hour daily schedule. Standard Shiftwork Index (SSI) questionnaire was used, alongside comprehensive socio-demographic and quality of life appraisal. Descriptive and inferential statistical methods were applied, and statistical significance was set at p<0.05., Results: This study demonstrated increased amounts of stress, reduced coping abilities and reduced levels of life enjoyment in shift work nurses in comparison to day work nurses. Furthermore, increased anxiety, stress, psychoorganic symptoms and sleep disturbances were significantly more common in shift work hospital nursing staff. In our study, nurses that worked in shifts have experienced negative externalities such as decreased social functioning, as well as reduced family and leisure time. Conversely, significantly higher satisfaction rates with shift work were only shown in regards to compensation., Conclusions: Our results reveal many detrimental effects of shift work and contribute to the field of research that is still laden with gaps in understanding its exact impact on the overall health of nursing personnel. Going forward, prospective (and even interventional) studies will be needed to disentangle the exact interplay between work-related factors in various health care systems and subsequent psychosocial disorders in health personnel.

Circadian clocks have important physiological and behavioral functions in humans and other organisms, which enable organisms to anticipate and respond to periodic environmental changes. Disturbances in circadian rhythms impair sleep, metabolism, and behavior. People with jet lag, night workers and shift workers are vulnerable to circadian misalignment. In addition, non-24-h cycles influence circadian rhythms and cause misalignment and disorders in different species, since these periods are beyond the entrainment ranges. In certain special conditions, e.g., on submarines and commercial ships, non-24-h watch schedules are often employed, which have also been demonstrated to be deleterious to circadian rhythms. Personnel working under such conditions suffer from circadian misalignment with their on-watch hours, leading to increased health risks and decreased cognitive performance. In this review, we summarize the research progress and knowledge concerning circadian rhythms on submarines and other environments in which non-24-h watch schedules are employed.

Introduction: Rotational shift work has a considerable effect on immune function and cause inflammation. In addition, it may lead to unhealthy dietary intake. No earlier study has examined the association between dietary patterns and inflammation in rotational shift workers. Therefore, this study was conducted to investigate the association between dietary patterns and circulating proinflammatory cytokines among shift workers., Methods: This cross-sectional study was conducted among 257 male shift workers. Dietary intake of participants was examined using the semiquantitative Food Frequency Questionnaire. Serum concentrations of interleukin-6 (IL-6), tumour necrosis factor-α (TNF-α) and high sensitivity C-reactive protein (hs-CRP) were measured using suitable commercial kits., Results: Three main dietary patterns included green vegetables, yellow vegetables and cruciferous vegetables (VEG), liquid oils and mayonnaise, fast food and eggs (LFE), as well as tea and coffee, refined grains and spice (TRS). Subjects with the highest adherence to VEG dietary pattern had a significantly lower concentration of IL-6 (p<0.01) and TNF-α (p<0.001) as compared with those with the lowest adherence. On the other hand, a significant negative association was found between LFE dietary pattern and serum concentrations of IL-6 (p=0.01) and TNF-α (p=0.02). However, no significant association was found between adherence to VEG (p=0.34) or LFE (p=0.99) dietary patterns and levels of hs-CRP and between adherence to TRS dietary pattern and any of the inflammatory cytokines., Conclusion: Adherence to VEG and LFE dietary patterns was inversely and directly associated to serum IL-6 and TNF-α concentrations in shift workers, respectively. However, no significant association was found between adherence to these two dietary patterns and serum hs-CRP concentrations and between TRS dietary pattern and any of the inflammatory cytokines., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

Aim: To examine the effects of indoor ambient temperature on thermal comfort, night work tolerance (fatigue, sleepiness and night adaptation) and urinary melatonin in night shift nurses., Background: Night shift induces physical stress and mental stress. Night shift work and ambient temperature are associated with work performance. The working environment must be improved for successful night shift working. However, the effects of indoor ambient temperature on night shift nurses are unclear., Methods: In this crossover study, 20 participants were divided into two groups of 10 and were assigned to work in one of two thermo-controlled environments (23°C vs. 26°C) during two consecutive night shifts. Thermal and humidity sensation vote, night work tolerance, body temperature and urinary melatonin were assessed., Results: There were significant differences between the two groups in thermal sensation and body temperature. There were no significant differences in humidity sensation vote or night work tolerance. Urinary melatonin levels decreased significantly during the second 23°C night shift., Conclusion: A temperature of 23°C may exert a positive effect on night shift adaptation., Implications for Nursing Management: Nurses and nursing managers should assess thermal comfort during night shifts, and improved thermal comfort level should be provided to nurses., (© 2020 John Wiley & Sons Ltd.)

This study explored association between early career doctors (ECDs) duty hours and their quality of life (QoL). Information was collected on socio-demographics, duty hours and QoL of 391 Nigerian ECDs. Results showed median of 70 duty-hours weekly, 10 call-days monthly and 6 sleep-hours daily. Weekly duty-hours and daily sleep-hours were significantly negatively and positively correlated respectively with all four domains of WHOQoL. QoL potentially affects health of ECDs especially mental health. Policies targeted at improving ECDs workforce, working conditions should improve QoL and curtail the potential impact of brain drain and attrition among ECDs in Nigeria.

This study aimed to evaluate the association between shift work disorder and mental health in hospital-based nurses. Staff completed an online survey comprising demographic questions, the Shift Work Disorder Questionnaire, Patient Health-9 and the General Anxiety Disorder-7 scale. Sick leave data were collected from archival records from the Human Resources Department. Two hundred and two nurses (95% female; age M = 35.28 years ± SD = 12) participated (42% of eligible staff). Those at high risk of shift work disorder had higher depression (M = 7.54 ± SD = 4.28 vs. M = 3.78 ± SD = 3.24; p < 0.001) and anxiety (M = 5.66 ± SD = 3.82 vs. M = 2.83 ± SD = 3.33, p < 0.001) compared to those at low risk. Linear regression models showed that being at high risk of shift work disorder was the most significant predictor of depression, explaining 18.8% of the variance in depression (R 2  = 0.188, adjusted R 2  = 0.184, F(1, 200) = 46.20, p < 0.001). Shift work disorder combined with the number of night shifts and alcoholic drinks on non-work days accounted for 49.7% of the variance in anxiety scores (R 2  = 0.497, adjusted R 2  = 0.453, F(3, 35) = 11.51, p < 0.001). Mean sick leave in those with high risk of shift work disorder was 136.17 hr (SD = 113.11) versus 103.98 hr (SD = 94.46) in others (p = 0.057). Depression and years of shift work accounted for 18.9% of the variance in sick leave taken (R 2  = 0.189, adjusted R 2  = 0.180, F(2, 175) = 20.36, p < 0.001). Shift work disorder is strongly associated with depression and anxiety, providing a potential target to improve mental health in shift workers. Depression, in turn, is a significant contributing factor to sick leave., (© 2019 European Sleep Research Society.)

Objectives: This study aimed to investigate the prevalence of sleep and mental health issues, the role of chronotype, and the relationship between these variables in Australian paramedics., Design: A cross-sectional study., Settings: Cross-sectional survey., Measurements: Paramedics were invited to complete an online survey to assess stress, posttraumatic stress disorder (PTSD), depression, anxiety, daytime sleepiness, insomnia, sleep quality, shift-work disorder, bruxism, obstructive sleep apnea, narcolepsy, chronotype, fatigue, and well-being., Participants: A total of 136 paramedics responded to the survey (age, 39.1 ± 12.1 years; 45.8% men and 54.2% women; 85.4% rotating shift-workers, 7% rural shift-workers, and 7.6% fixed rosters)., Results: Paramedics reported significantly higher levels of depression symptoms, anxiety symptoms, fatigue, PTSD symptoms, insomnia symptoms, narcolepsy, and significantly poorer sleep quality and general well-being than norms from the general population of Australia and Western countries (all p < .05). From regression analyses, insomnia explained the greatest amount of variance in depression and anxiety scores, followed by fatigue and PTSD (adjusted R-squared for depression and anxiety models = .58 and = .44, respectively, p < .001). The majority of participants were intermediate chronotype (57%), followed by morning (32%) and evening type (11%). Evening chronotypes showed significantly higher depression scores (p < .001), anxiety (p < .05), PTSD symptoms (p < .05), poorer sleep quality (p < .05), and general well-being (p < .001) compared with morning types., Conclusion: Addressing sleep issues and matching chronotype to shift preference in paramedics may help to reduce depression, anxiety, and improve well-being., (Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.)

Background: Understanding factors that drive admissions is critical to containing cost and optimising hospital operations. We hypothesised that, due to multiple factors, emergency physicians would be more likely to admit a patient seen later in their shift., Methods: Retrospective study examining all patient visits at a large academic hospital from July 2010 to July 2016. Patients with missing data (n=191) were excluded. 294 031 emergency department (ED) visits were included in the final analysis. The exposure of interest was the time during the shift at which a patient was first evaluated by the clinician, and outcome was hospital admission. We used a generalised estimating equation with physician as the clustering level to adjust for patient age, gender, Emergency Severity Index (ESI, 1=most severe illness, 5=least severe illness) and 24 hours clock time. We also conducted a stratified analysis by three ESI categories., Results: From the 294 031 ED visits, 5977 were seen in the last hour of the shift. Of patients seen in the last shift hour, 43% were admitted versus 39% seen at any other time during the shift. There was a significant association between being evaluated in the last hour (RR 1.03, 95% CI 1.01 to 1.06) and last quarter (RR 1.02, 1.01 to 1.03) of shift and the likelihood of admission. Patients with an ESI Score of 4-5 saw the largest effect sizes (RR 1.62, 0.996-2.635 for last hour and RR 1.24, 0.996-1.535 for last quarter) but these were not statistically significant. Additionally, there was a trend towards increased likelihood of admission later in shift; the relative risk of admission was 1.04 in hour 6, (1.02-1.05), 1.03 in hour 7 (1.01-1.05), 1.04 in hour 8 (1.01-1.06) and 1.06 in hour 9 (1.013-1.101)., Conclusions: There is a small but significant association between a patient being evaluated later in an emergency physician's shift and their likelihood of being admitted to the hospital., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

On a given workday, employees spend time at work doing tasks that are not work-related, potentially using these micro-breaks (i.e., short breaks that are less than 10 min) to attempt to recover depleted psychological resources such as energy and attention. However, most work break and recovery research has focused on how individuals recover from work during formal nonwork time with longer or unspecified time durations (e.g., lunch breaks, evenings, vacations), limiting theoretical and empirical understanding of whether employees can experience recovery within the workday via brief micro-breaks. In the current investigation, we first conducted interviews from 16 shift workers at a Fortune 500 company to develop research questions about how micro-breaks impact psychological resources and recovery experiences. We then used a randomized experiment with a sample of undergraduate students ( n = 232) to test the impact of micro-break durations and activities on the recovery of psychological resources (i.e., energy and attention) and recovery experiences. Results show that some, but not all, micro-break conditions can help employees recover back to their baseline (i.e., prework task) levels of psychological resources following a micro-break. Overall, this experiment provides stronger levels of causal inference about the recovery process and presents new ideas regarding how micro-break durations influence well-being via psychological resource recovery. (PsycInfo Database Record (c) 2020 APA, all rights reserved).