Insomnia, excessive sleepiness, excessive fatigue, anxiety, depression and shift work disorder in nurses having less than 11 hours in-between shifts

Simulated quick returns in a laboratory context and effects on sleep and pre-sleep arousal between shifts: a crossover controlled trial

This trial presents a laboratory model investigating the effect of quick returns (QRs, <11 h time off between shifts) on sleep and pre-sleep arousal. Using a crossover design, 63 participants worked a simulated QR condition (8 h time off between consecutive evening- and day shifts) and a day-day (DD) condition (16 h time off between consecutive day shifts). Participants slept at home and sleep was measured using a sleep diary and sleep radar. Compared to the DD condition, the QR condition reduced subjective and objective total sleep time by approximately one hour (both p < .001), reduced time in light- (p < .001), deep- (p = .004), rapid eye movement (REM, p < .001), percentage of REM sleep (p = .023), and subjective sleep quality (p < .001). Remaining sleep parameters and subjective pre-sleep arousal showed no differences between conditions. Results corroborate previous field studies, validating the QR model and indicating causal effects of short rest between shifts on common sleep parameters and sleep architecture.

Night and shift work and incidence of physician-diagnosed sleep disorders in nursing staff: A prospective cohort study

BACKGROUND

Epidemiological studies provide evidence for an association between shift work and sleep problems but often lack precise exposure and outcome data.

OBJECTIVE

To investigate the risk of first-time physician-diagnosed sleep disorder in nursing staff using register-based data of shift work and health outcomes.

DESIGN

A prospective cohort study with a 4.5-year follow-up.

PARTICIPANTS

25,639 healthcare employees (nurses including midwives, nursing assistants, and related care professions) employed for at least six months between 2012 and 2016 by Region Stockholm were included.

METHODS

Information on hour-by-hour and day-by-day working hours was obtained from a computerised employee register. Physician-diagnosed sleep disorders (N = 326) were obtained from an outpatient register from January 2013 to June 2017. Discrete time proportional hazards models were used to estimate hazard ratios (HR) adjusting for age, sex, country of birth and profession.

RESULTS

An increased risk of physician-diagnosed sleep disorder was seen among those who, during the preceding six months, only or frequently (>66 times) worked night shifts compared to those who did not work nights (HR 1.70, 95 % CI 1.17-2.43 and HR 1.77, 95 % CI 1.21-2.50 respectively). The associations were supported by a dose-response pattern (p = 0.0006). Among those who work night shifts, the risk associated with 9-12 times of three or more consecutive nights was of borderline statistical significance (HR 1.66, 95 % CI 0.98-2.81). Frequently (>39 times the last six months) having quick returns from night shifts (<28 h) showed an almost 2-fold increased risk of physician-diagnosed sleep disorder compared to those who had few (<8 times in the last six months) quick returns from night shifts (HR 1.89, 95 % CI 1.05-3.52). Quick returns from afternoon shifts in non-night workers (<11 h) did not significantly increase the risk of physician-diagnosed sleep disorder.

CONCLUSION

The results indicate that intensive night shift work, especially frequent and consecutive night shifts, is associated with an increased risk of physician-diagnosed sleep disorder in nursing staff. This study raises awareness of the need to acknowledge objective in addition to subjective health outcomes in relation to shift work.

Socio-Demographic, Nutritional, and Lifestyle Factors Influencing Perceived Sleep Quality in Spain, with a Particular Focus on Women and Young People

Objectives: This study examines the relationship between nutrition, lifestyle habits, and perceived sleep quality in a cross-sectional analysis of 22,181 Spanish adults. Methods: Data were collected between August 2020 and November 2021 using the Nutritional and Social Healthy Habits (NutSo-HH) questionnaire, which assessed variables such as sleep duration, self-perceived restfulness, dietary patterns, and physical activity. Results: Findings indicate that 48.9% of participants sleep 7-8 h per night, while 8.6% sleep less than 6 h. Approximately 50% report frequently feeling rested, whereas 45.4% seldom or sometimes feel rested. Non-parametric Mann-Whitney and Kruskal-Wallis tests with Dwass-Steel-Critchlow-Fligner (DSCF) correction revealed that perceived sleep quality had an average score of 3.39 on a 0-5 scale, with significant differences based on socio-demographic and lifestyle factors (p < 0.001 for sex, age, education, income, and living in a family). Participants with sufficient sleep reported a lower BMI, a higher nutritional index, and more weekly physical activity. A network analysis demonstrated strong clustering between sleep variables and eating behaviors. Although causality cannot be established in this observational study, the results suggest that better sleep is associated with the lower consumption of sugary drinks and ultra-processed foods, as well as improved body image and mental health. Conclusions: These findings highlight the interconnectedness of sleep, nutrition, and lifestyle habits, suggesting that targeted interventions in any of these areas could positively influence the others, ultimately improving overall health outcomes.

Night work and sleep debt are associated with infections among Norwegian nurses

This study investigates possible associations between sleep duration, sleep debt and shift work characteristics, and self-reported infections among 1335 Norwegian nurses (90.4% females, mean age 41.9 y). Participants reported their sleep duration, sleep need and shift work, and frequency of infections (common cold, pneumonia/bronchitis, sinusitis, gastrointestinal infection, urinary tract infection) experienced in the last 3 months. Chi-square tests and logistic regression (adjusted for sex, age, children at home, marital status) were used for data analyses. Sleep debt (1-120 min and >2 h, respectively) was dose-dependently associated with increased risk of common cold (adjusted odds ratio (aOR) 1.33, 95% CI 1.00-1.78; aOR 2.32, 95% CI 1.30-4.13), pneumonia/bronchitis (aOR 2.29, 95% CI 1.07-4.90; aOR 3.88, 95% CI 1.44-10.47), sinusitis (aOR 2.08, 95% CI 1.22-3.54; aOR 2.58, 95% CI 1.19-5.59), and gastrointestinal infection (aOR 1.45, 95% CI 1.00-2.11; aOR 2.45, 95% CI 1.39-4.31), compared to no sleep debt. Night work (yes/no) (aOR 1.28, 95% CI 1.00-1.64) and number of night shifts (1-20 compared to 0 nights) (aOR 1.49, 95% CI 1.08-2.06) were associated with increased risk of common cold. Sleep duration and quick returns were not associated with any of the infections. In conclusion, shift- and night work were associated with increased risk of common cold. Sleep debt was dose-dependently associated with an increased risk of several infections.

Global prevalence of excessive daytime sleepiness among nurses: A systematic review and meta-analysis

BACKGROUND

Nurses face significant risks of excessive daytime sleepiness (EDS), which adversely affects workplace safety and productivity. Yet, the extent of EDS in this workforce remains inadequately characterized.

AIM

The aims of this systematic review were to assess the pooled prevalence of EDS among nurses.

METHODOLOGY

We systematically searched PubMed, Embase, Scopus, and ISI Web of Science for observational studies reporting the prevalence of EDS, as measured by the Epworth Sleepiness Scale (ESS), from database inception to May 1, 2024, with no language restrictions. Study quality was evaluated using JBI's critical appraisal tool. Pooled estimates were calculated through random-effects meta-analysis, with subgroup and meta-regression analyses assessing associations between EDS prevalence and study-level factors. Linear regression modeling was used to assess time trends. This study was registered with PROSPERO (CRD42024535109).

RESULTS

We included 36 unique studies encompassing 2677 nurses from 20 countries. EDS occurred in 14.0%-55.6% of nurses. The results of the meta-analysis showed a pooled prevalence of EDS of 32.2% (95% confidence interval [CI]: 28.5-36.1; I2 = 92.6). Prevalence estimate did not vary substantially in terms of study-level data (i.e., region, country income, pre/post covid era, hospital type, proportion of female nurse, average nursing experience, or proportion of married nurses). The prevalence of EDS in nurses has remained unchanged over time.

CONCLUSIONS

This meta-analysis identifies a high global prevalence of EDS among nurses, affecting nearly one-third of this workforce. The findings underscore the urgent need for targeted interventions to mitigate EDS across diverse geographic and economic contexts.

IMPLICATION FOR NURSING AND NURSING POLICY

This study highlights the pervasive issue of EDS among nurses worldwide, necessitating comprehensive strategies to address this challenge across all regions, income levels, hospital settings, and demographic groups.

Factors influencing job performance of nurses in COVID-19 care: a study in Egypt

Coronavirus disease (COVID-19) is an illness that has critical effects on public health and overall circumstances across the world. The performance of nurses represents the vital actions in providing care for COVID-19 patients. The aim of this study was to assess job performance and associated nurses, patients, and environmental-related factors among nurses providing care to COVID-19 patients in Egypt through the following: assessing the nurses' knowledge regarding care of COVID-19 patients; assessing the nurses' practice regarding care of COVID-19 patients; assessing different factors that affect different types of nurses' job performance; and assessing the factors associated with the job performance of nurses providing care to COVID-19 patients.Design A descriptive exploratory study was used to meet the aim of the study.Setting The study was conducted at Ain Shams University COVID-19 Hospital.Study subjects A convenient sample of all 52 available nurses working at Ain Shams University COVID-19 Hospital. Data collection tools: The data was collected using a self-administered questionnaire. It consisted of the following: A. Self-administered nurses' questionnaire: Part I: Demographic characteristics of nurses. Part II: Nurses knowledge assessment. Part III: Factors associated with nurses' job performance. B. Narses's practice observational checklist. Results: The mean age (mean ± SD) of the study population was 40.59 ± 6.90. As regards their years of experience working as nurses, only 32.7% of them have more than ten years of experience. In relation to the total satisfactory level of knowledge about coronavirus, the study reveals that 55.8% of the nurses have unsatisfactory knowledge regarding coronavirus, There is a highly significant relationship between level of practice and years of experience (p-value < 0.001**), while there is a significant relationship between level of practice and educational level and attending the training courses about caring for COVID-19 patients (P-value 0.033*, P-value 0.025*), respectively.Conclusion The study concluded that most of the studied nurses had unsatisfactory knowledge, and more than half had incompetent practice scores about nursing care practices for patients with COVID-19. There was a positive linear correlation between the nurses' knowledge and practice. The factors affecting their performance in caring for patients with COVID-19, lack of cooperation between nurses and patients, lack of supplies and equipment during care were the most frequently reported factors, as were an unequal nurse-patient ratio, many nursing tasks, and a lack of patients' knowledge.Recommendation The study recommends the importance of promoting the nursing care guidelines as a standard procedure in ICUs, and the nursing care guideline educational program for patients with COVID-19 should be scheduled regularly for nurses. Providing the hospitals with supplies to avoid the shortage's effect on nurses' performance.

The moderating role of protective factors in shift work disorder and health outcomes: A cross-sectional study

This study investigated whether sleep-specific (e.g. chronotype) and traditional (e.g. resilience) protective factors were associated with reduced shift work disorder (SWD) risk and explored their role as moderators in the relationship between SWD risk and health. Shift workers (n = 126) participated in a cross-sectional study evaluating SWD risk (i.e. low vs. high; SWD-screening Questionnaire), mental health (Patient Health Questionnaire-9; Generalized Anxiety Disorder Questionnaire-7), physical health (Subjective Health Complaints Inventory), sleep (Pittsburgh Sleep Quality Index; Insomnia Severity Index; Epworth Sleepiness Scale), and protective factors (Resilience Scale; Social Provisions Scale; Survey of Perceived Organizational Support; Short Impulsive Behavior Scale; Circadian Type Inventory; reduced-Morningness-Eveningness Questionnaire). Logistic regressions revealed lower sleep languidity was associated with reduced odds (OR = 0.88 [0.79,0.96]) for having high SWD risk. Multiple regression analyses showed in shift workers with high social support or morningness, having high SWD risk was not associated with increased depression symptoms, or insomnia severity and poor sleep quality, respectively. Finally, in those with high or medium levels of perceived organizational support, high SWD risk was not associated with increased gastrointestinal and allergy complaints. Longitudinal research with larger samples is needed to confirm the moderating role of protective factors in the relationship between SWD risk and health.

Psychometric Evaluation of the Insomnia Severity Index in Nurses

OBJECTIVES

Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses.

METHOD

In a sample of day shift nurses (N = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test-retest reliability analysis were performed.

RESULTS

CFA showed that a two-factor model provided the best fit. The ISI had moderate to poor convergent validity with sleep diary parameters, and moderate convergent validity with the Sleep Condition Indicator (r = -.66), Pittsburgh Sleep Quality Index (r = .66), and PROMIS Sleep-Related Impairment measure (r = .67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (r = -.27), Nightmares Disorder Index (r = .25), PTSD Checklist for DSM-5 (sleep items removed; r = .32), and Perceived Stress Scale (r = .43). The ISI had weaker discriminant validity with the PHQ-9 (r = .69) and Generalized Anxiety Disorder Screener (r = .51). The ISI demonstrated a good test-retest reliability (ICCs = .74-.88).

CONCLUSIONS

The ISI is a psychometrically strong measure for the assessment of insomnia severity in day shift nurses. Overlap with psychological symptoms, primarily anxiety and depression, suggests caution while interpreting these constructs.

Association between sleep patterns and alcohol use disorders in workers

Alcohol use among workers that is intended to aid sleep may lead to alcohol use disorders. This study aimed to explore the association between sleep patterns and alcohol use disorders in workers. Data from the Korea National Health and Nutrition Examination Survey conducted in 2014, 2016, 2018, and 2020 were used for this study. We included only workers aged 19 years and older. The final analysis comprised 11,972 respondents (6,472 male and 5,500 female). Multiple logistic regression analysis was used to investigate the relationship between sleep patterns and alcohol use disorders. Workers with poor sleep patterns were more likely to develop alcohol use disorders compared to those with good sleep patterns (male: adjusted odds ratio [OR] 1.22, 95% confidence interval 1.07-1.39; female: adjusted OR 1.21, 95% CI 1.03-1.41). Workers with both poor sleep quality and less than seven hours of sleep had the highest odds of alcohol use disorders in both male (adjusted OR 1.73, 95% CI 1.38-2.17) and female (adjusted OR 1.44, 95% CI 1.13-1.84). Poor sleep patterns were associated with alcohol use disorders in male who work night shift (OR: 1.74, 95% CI: 1.25-2.42) and in female who worked more than 52 hours per week (adjusted OR: 1.71, 95% CI: 1.04-2.80). Customized sleep management programs should be provided to workers in sleep-deprived working environments to prevent them from developing alcohol use disorders.

Acute effects of a simulated quick return on subjective sleepiness, mood, and cognitive performance: A laboratory crossover controlled trial

Sleep loss due to short time off between shifts has been proposed as a mechanism contributing to impaired functioning in occupational settings. This laboratory crossover trial (ClinicalTrials.gov identifier: NCT05162105, N = 66) compared subjective sleepiness, mood, and cognitive performance on a day shift after an evening shift with only 8 h off between shifts (quick return, QR) to a day shift after another day shift with 16 h off between shifts (control). Results indicated higher subjective sleepiness (Karolinska Sleepiness Scale) during the QR condition compared to the control condition (p < 0.001). No significant differences were found on mood (Positive and Negative Affect Schedule) and cognitive performance (Psychomotor Vigilance- and Digit Symbol Substitution Test) between the conditions. Findings of increased subjective sleepiness corroborate previous field studies. This trial is to our knowledge the first to compare mood and cognitive performance after a QR to a longer shift transition using an experimental design. Future research should explore the effects of accumulated sleep loss associated with QRs (e.g. having several QRs within a short time period) on behavioral outcomes.

The Impact of Night Work on the Sleep and Health of Medical Staff-A Review of the Latest Scientific Reports

Introduction: Employees working in shifts are exposed to many threats affecting their health, quality of life and safety at work. Those who perform their work only at night are particularly vulnerable. The purpose of the review is to identify risks to the health, quality of life and sleep of shift health workers. Method: A systematic review (SR) was used in the analysis. Electronic databases were searched. The search was limited to the latest studies published in the last five years: 2019-2023. Results: Finally, 36 articles were included in the review. Most authors have shown a link between sleep disturbance or its quality and shift work/night work. Moreover, a three-shift schedule was the most significant factor for poorer subjective sleep quality when compared to other work schedules. Furthermore, many authors have shown a link between shift/night work and health problems, which include cardiometabolic risk, glucose intolerance, breast cancer and immune vulnerability. Conclusions: The research results clearly show a significant impact of night work on the increased risk of sleep disorders and health disturbance. Healthcare workers should be aware of the risks associated with night work in order to take measures preventing sleep/health problems. Shift/night workers should have the opportunity to be screened for disorders linked with their work.

Effect of shift work on excessive daytime sleepiness in female nurses: results from the Japan Nurses' Health Study

We investigated the relationship between shift work and excessive daytime sleepiness (EDS) among participants in the Japan Nurses' Health Study (JNHS). Responses of 9,728 female nurses to the 6th follow-up questionnaire were cross-sectionally analyzed. EDS was defined as an Epworth Sleepiness Scale score ≥11. EDS-associated factors were evaluated using Poisson regression analysis after adjustment for multiple confounders. Of the participants (mean age, 52.2 ± 8.0 yr), 28.7% were engaged in shift work, and the overall prevalence of EDS was 24.6%. EDS-associated factors were investigated separately in women aged <40 yr (n=250), 40-59 yr (n=7,467), and ≥60 yr (n=2,011). Current engagement in shift work (prevalence ratio: 1.92 [95% confidence interval: 1.20-3.06], compared with no experience of shift work) and obesity (2.08 [1.11-3.88] for BMI ≥30 and 1.39 [1.02-1.90] for BMI of 25.0-30.0, compared with BMI of 18.5-25.0) showed an independent association with EDS in women aged ≥60 yr. The effect of shift work on EDS in female nurses differed by age, as shift work and obesity contributed to EDS only in older participants. Shift work should be assigned after full consideration of age, sleep, and health status to minimize medical errors.

Effects of a work schedule with abated quick returns on insomnia, sleepiness, and work-related fatigue: results from a large-scale cluster randomized controlled trial

STUDY OBJECTIVES

To investigate the effect of a work schedule with abated quick returns (i.e. > 11 hours between two shifts) on insomnia, daytime sleepiness, and work-related fatigue compared to a shift schedule maintaining the usual number of quick returns.

METHODS

A two-armed cluster randomized controlled trial including 66 units was conducted at a university hospital in Norway. Units with healthcare workers on rotating shift schedules were randomly assigned to a shift schedule with abated quick returns (intervention) or to continue with a schedule including quick returns as usual (control) for 6 months. Questionnaires assessed symptoms of insomnia (Bergen Insomnia Scale [BIS]), daytime sleepiness (Epworth Sleepiness Scale [ESS]), and work-related fatigue (Revised Swedish Occupational Fatigue Inventory) at baseline and towards the end of the intervention. Data were analyzed using multilevel linear mixed-effects models, and Cohen's d was used to calculate the effect size between groups.

RESULTS

Overall, 1314 healthcare workers (85.2% female) completed the baseline questionnaire (response rate 49.1%), and 552 completed the follow-up questionnaire. The intervention reduced quick returns from an average of 13.2 (SD = 8.7) to 6.7 (SD = 6.0), while the control group's average remained relatively unchanged from 13.2 (SD = 8.7) to 12.0 (SD = 9.3). Results showed a small improvement in symptoms of insomnia (BIS; d = -0.13, p = .022) and daytime sleepiness (ESS; d = -0.14, p = .013) in favor of the intervention. No effects were observed on work-related fatigue.

CONCLUSIONS

Reducing the number of quick returns in the work schedule resulted in improvements in insomnia and daytime sleepiness. The findings highlight the importance of sufficient daily rest time in the work schedule of healthcare workers.

CLINICAL TRIAL

Health Promoting Work Schedules: The Effect of Abolishing Quick Returns (HeWoS); clinicaltrials.gov/ct2/show/NCT04693182; Registered at ClinicalTrials.gov with the identifier NCT04693182.

Post-Pandemic Insomnia in Healthcare Workers: A Prospective Study including Sociodemographic, Occupational and Psychosocial Variables

Background/Objectives: Previous research points to the prevalence of insomnia during the COVID-19 pandemic among healthcare workers (HCWs). However, longitudinal studies on its evolution, including the post-pandemic stage, are less abundant, with a special lack of research about possible psychosocial risk factors. The aim of the current study is to analyze the evolution of insomnia in Spanish HCWs from the beginning of the pandemic until two years later, examining the influence of sociodemographic, occupational and psychosocial variables. Methods: This was a prospective longitudinal design with three data collection periods in which insomnia was assessed using the Insomnia Severity Index (ISI), in addition to sociodemographic, occupational and psychosocial (i.e., social support, self-efficacy, resilience and cognitive fusion) variables in HCWs (n = 216) who were in direct contact with COVID-19 patients. Results: High scores were observed for insomnia, with a clear decrease throughout the periods studied (F = 30.198, p < 0.001). An association was observed between insomnia and certain sociodemographic and occupational variables (i.e., work category, p = 0.001; availability of Personal Protective Equipment (PPE), p < 0.001; workload, p < 0.001; worry about self or family contagion, p = 0.002, p = 0.003, respectively). Insomnia had negative relationships with social support (p = 0.014), self-efficacy (p < 0.001) and resilience (p < 0.001) and positive relationships with cognitive fusion (p < 0.001). Interaction effects between the evolution of insomnia and social support from friends (p = 0.024, ƞ2 = 0.34) and between the evolution of insomnia and cognitive fusion (p = 0.047; ƞ2 = 0.25) were found. Conclusions: Social support, self-efficacy and resilience act as buffers for insomnia. Cognitive fusion acts as a clear precipitator of insomnia as well as directly influencing its evolution. Social support from friends also affects the evolution of insomnia. Within the specific circumstances of the COVID-19 pandemic, a long-term effect of social support from friends and a short-term effect of cognitive fusion on the evolution of insomnia was observed. The findings emphasize the need to implement specific interventions to promote the mental well-being of HCWs, particularly in crisis contexts that involve an increase in occupational stress, emphasizing the role of certain psychosocial variables as protective factors.

Investigation of the possible effects of night shift on telomere length and mtDNA copy number in nurses

In this study, we aimed to investigate the impacts of altered circadian rhythm on telomere length and mtDNA copy number (mtDNA-CN) in nurses working night shifts. In our study, 52 healthy nurses working in shifts at Ondokuz Mayıs University Hospital and 45 healthy control subjects working during the day were included. qRT-PCR technique was used for the determination of telomere length and mtDNA-CN. It was observed that the shift-work group had poor sleep quality (p = 0.004), feeling tired (p < 0.01) and stressed (p = 0.02) more than control group working during the day. Nurses working in shifts were found to have 1.18 times longer telomeres with respect to the control group working during the day (p = 0.005). When compared among shift workers, poor sleep quality and insufficient sleep duration shortened telomeres (r = 0.32; p = 0.02). There was no statistically significantdisparity regarding mtDNA-CN among the nurses working in shifts and the control group working during the day (p = 0.07). Insufficient sleep was associated with decreased mtDNA-CN when shift-working nurses were compared according to sleep quality (p = 0.006). Furthermore, mtDNA-CN of nurses with poor sleep quality was correlated with lower mtDNA-CN in comparison to nurses with good sleep quality (r = 0.284; p = 0.04). The mtDNA-CN of the nurses was positively associated with the sleep duration the night sleep before the night shift (r = 0.32; p = 0.02). Inadequate sleep duration and quality were observed to cause a reduction in mtDNA-CN of nurses. In conclusion, it has been observed that poor sleep quality and duration are related to shortened telomere length and decreased mtDNA-CN in night shift nurses.

Shift Work Sleep Disorder and Mental Health: An Integrative Review of Neurobiological, Sociological, and Psychological Perspectives With Public Policy Implications

Shift workers support critical 24-hr operations; their health can be impaired by disrupted circadian rhythms and dysfunctional sleep. Shift work sleep disorder (SWSD) is a prevalent condition with significant psychological consequences. Nurse leaders have not yet implemented effective policies to prevent SWSD and optimize shift workers' mental health. The purpose of this integrative review was to examine research about SWSD within the context of neurobiological, sociological, and psychological perspectives that can inform policy changes. The Centers for Disease Control and Prevention Policy Analytic Framework was used to determine the priority recommendations. A search of three databases provided 19 research articles about SWSD and mental health, which illustrated how SWSD is common around the world in many occupations. Backward-rotating schedules and quick returns were risk factors for SWSD. In addition, SWSD was associated with circadian languidity, sleep reactivity, depressive symptoms, and anxiety. Collectively, the studies lacked objective measures of sleep and circadian rhythms, which has hindered the ability to devise interventions that will target the neurobiological causes of SWSD. The research also lacked attention to important sociological factors, such as workers' pay and benefits. Using these findings, nurse leaders can contribute to public policy reforms that increase funding for more rigorous SWSD research. Lawmakers should be advised by nurse leaders to enforce new regulations that provide incentives for employers to create healthier workplaces, such as prohibiting the overuse of schedules that make employees vulnerable to SWSD and providing funds for interventions to prevent SWSD and support mental health.

Fatigue based on the subjective feeling of people representing selected medical professions

OBJECTIVES

Fatigue can be the result of overexertion and overload. It occurs when the burdened body does not have enough time for regeneration and biological renewal. The aim of this study was analysis of fatigue based on the subjective feeling in physiotherapists, nurses, and paramedics.

MATERIAL AND METHODS

The research covered 193 women and 107 men aged 30-60 years, including 100 physiotherapists, 100 nurses and 100 paramedics with higher education, employed in clinics and hospitals in the Podkarpackie Voivodeship, Poland. The research tool of choice was 30-item Research Committee on Industrial Fatigue Fatigue Scale, adapted into the Polish language by Paluch. The data were analyzed based on ANOVA Kruskal-Wallis test, Mann-Whitney U test and Spearman's rank correlation.

RESULTS

Values determining frequency of decrease in activity were higher in nurses than in physiotherapists (p < 0.001) and paramedics (p = 0.005). Physiotherapists and nurses showed statistically significant positive associations of all fatigue indices with age and seniority. Sex-related differences in the frequency of physical fatigue symptoms have been noted (p = 0.044). Among people working in outpatient clinics and hospitals there were statistically significant differences in the frequency of decrease in activity (p = 0.001) and general level of fatigue (p = 0.031).

CONCLUSIONS

In nurses and physiotherapists, the frequency of experiencing ailments increases with age and work experience. This suggests that in the case of these professions it is important to quick identification of signs of fatigue and taking actions to prevent its worsening. Women experience fatigue more often, so they especially need to take steps to prevent and, if necessary, treat this condition. Hospitals should be an area of special involvement in the process of implementing programs to counteract fatigue of employees in the medical services sector. Int J Occup Med Environ Health. 2024;37(1):72-83.

The long-term effect of work schedule, shift work disorder, insomnia and restless legs syndrome on headache among nurses: A prospective longitudinal cohort study

BACKGROUND

The preset study aimed to explore whether work schedules and sleep disorders predict the onset of headache.

METHODS

A longitudinal study was conducted with questionnaire data from 2014 (baseline) and 2017 (follow-up) on work schedule, number of night shifts, number of quick returns, insomnia, shift work disorder (SWD), restless legs syndrome (RLS) and validated headache diagnoses among 1560 Norwegian nurses. Associations were explored by multivariate regression analyses.

RESULTS

Work related factors at baseline did not predict onset of headache three years later. In the adjusted logistic regressions, insomnia at baseline predicted increased risk of new onset of migraine (odds ratio (OR) = 1.58; 95% confidence interval (CI) = 1.08-2.33), chronic headache (OR = 2.02; 95% CI = 1.04-4.66) and medication-overuse headache (OR = 3.79; 95% CI = 1.26-11.42) at follow-up. SWD at baseline predicted new onset of migraine (OR = 1.64; 95% CI = 1.07-2.50) and RLS at baseline predicted new onset of headache ≥1 day per month (OR = 1.55; 95% CI = 1.01-2.36) and migraine (OR = 1.55; 95% CI = 1.03-2.32) at follow-up. No factors predicted tension-type headache.

CONCLUSIONS

Overall, work related factors did not predict the onset of headache three years later, whereas insomnia, SWD and RLS at baseline all increased the risk of future headaches.

Understanding nurse suicide using an ideation-to-action framework: An integrative review

OBJECTIVE

The purpose of this integrative review was to explore, appraise and synthesize the current literature on correlates of suicide risk in nurses.

DESIGN

Integrative literature review.

DATA SOURCES

Cumulative Index to Nursing and Allied Health Literature (CINAHL), Joanna Briggs Institute, PubMed, PsycInfo and Scopus electronic databases were searched for abstracts published between 2005 and 2020. Reference lists were hand searched.

REVIEW METHODS

The integrative review was based on the Whittemore and Knafl review methodology. Primary qualitative and quantitative studies about suicidal behaviour in nurses published in peer-reviewed journals were included. The methodological quality of included articles was assessed using the Mixed Methods Assessment Tool.

RESULTS

Separate correlates of risk and protective factors were identified for suicidal ideation, suicide attempt and death by suicide in nurses.

IMPLICATIONS

Due to a number of factors at the individual, interpersonal and work levels, nurses are uniquely positioned to be at risk of dying by suicide. The ideation-to-action framework provides a theoretical guide to understand the interplay between correlates and the effect it has on increasing a nurses' capability for suicide.

CONCLUSIONS

This review integrates the empirical literature to elucidate the concept of suicidal behaviour as it applies to nurses.

Synergistic interaction between long shifts and short rest periods on depression in shift workers: A cross-sectional study from Korea

BACKGROUND

Long shifts and short rest periods (SRP) between shifts are important factors that greatly affect shift workers' health. However, reports on the psychological effects of shift work, such as depression, have been inconsistent. Therefore, this study aimed to investigate the combined effect of long shifts and SRP on depression in shift workers.

METHODS

This cross-sectional study included 3295 shift workers in the sixth Korean Working Conditions Survey. The relative excess risk due to interaction (RERI) was computed to estimate the combined effect of long shifts and SRP on depression.

RESULTS

Depression in shift workers was not significantly associated with long shifts or SRP after adjustment, but the risk was significantly increased when exposed to both factors simultaneously (odds ratio 1.36, 95% confidence interval 1.03-1.79). The RERI between the two factors was statistically significant (p = 0.020), indicating a synergistic interaction with depression. Sensitivity analysis by occupation showed a significant interaction in the combined group of office and service workers (p = 0.034).

CONCLUSIONS

Simultaneous exposure to SRP and long shifts should be avoided when planning shift work schedules or devising health policies for shift workers. Special consideration is needed for healthcare and service workers, who may be particularly vulnerable to negative health impacts due to shift work.

Effects of shift work schedules, compensatory sleep, and work-family conflict on fatigue of shift-working nurses in Chinese intensive care units

BACKGROUND

Shift work is inevitable for nurses in intensive care units. Various studies explored nurses' fatigue in multiple hospital wards. However, few studies focused on fatigue among nurses in intensive care units.

AIMS

To determine the association between shift work schedules, compensatory sleep, work-family conflict, and fatigue of shift-working nurses in critical care units.

STUDY DESIGN

A descriptive cross-sectional multi-center study was conducted in March 2022 among intensive care nurses from five hospitals.

METHODS

Data were collected by online survey, including self-designed demographic questions, the Fatigue Scale-14, the Chinese adult daytime sleepiness scale, and the work-family scale. Pearson correlation was conducted for bivariate analysis. Independent-sample t-test, one-way ANOVA, and multiple linear regression analysis were performed to examine fatigue-related variables.

RESULTS

A total of 326 nurses responded to the survey with an effective response rate of 74.9%. The mean scores of physical fatigue and mental fatigue were 6.80 and 3.72, respectively. The bivariate analyses showed that work-family conflict was positively correlated with physical (r = 0.483, p < .001) and mental fatigue (r = 0.406, p < .001). Multiple linear regression results showed that work-family conflict, daytime sleepiness, and shift system were statistically significant factors influencing physical fatigue (F = 41.793, p < .001). Work-family conflict, sleep duration after the night shift, and daytime sleepiness were the main influencing factors of mental fatigue (F = 25.105, p < .001).

CONCLUSIONS

Nurses with higher work-family conflict, daytime sleepiness, and working 12-h shifts have higher levels of physical fatigue. Higher work-family conflict, shorter sleep duration after night shifts, and daytime sleepiness are associated with higher mental fatigue among intensive care nurses.

RELEVANCE TO CLINICAL PRACTICE

Nursing managers and nurses should consider work-family factors and compensatory sleep in their efforts to reduce fatigue. It is necessary to strengthen work-supporting strategies and compensatory sleep guidance for nurses to promote fatigue recovery.

Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

BACKGROUND

Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying the factors most tied to HCWs' psychological challenges is crucial to addressing HCWs' mental health needs effectively, now and for future large-scale events.

OBJECTIVE

In this study, we used natural language processing methods to examine deidentified psychotherapy transcripts from telemedicine treatment during the initial wave of COVID-19 in the United States. Psychotherapy was delivered by licensed therapists while HCWs were managing increased clinical demands and elevated hospitalization rates, in addition to population-level social distancing measures and infection risks. Our goal was to identify specific concerns emerging in treatment for HCWs and to compare differences with matched non-HCW patients from the general population.

METHODS

We conducted a case-control study with a sample of 820 HCWs and 820 non-HCW matched controls who received digitally delivered psychotherapy in 49 US states in the spring of 2020 during the first US wave of the COVID-19 pandemic. Depression was measured during the initial assessment using the Patient Health Questionnaire-9, and anxiety was measured using the General Anxiety Disorder-7 questionnaire. Structural topic models (STMs) were used to determine treatment topics from deidentified transcripts from the first 3 weeks of treatment. STM effect estimators were also used to examine topic prevalence in patients with moderate to severe anxiety and depression.

RESULTS

The median treatment enrollment date was April 15, 2020 (IQR March 31 to April 27, 2020) for HCWs and April 19, 2020 (IQR April 5 to April 27, 2020) for matched controls. STM analysis of deidentified transcripts identified 4 treatment topics centered on health care and 5 on mental health for HCWs. For controls, 3 STM topics on pandemic-related disruptions and 5 on mental health were identified. Several STM treatment topics were significantly associated with moderate to severe anxiety and depression, including working on the hospital unit (topic prevalence 0.035, 95% CI 0.022-0.048; P<.001), mood disturbances (prevalence 0.014, 95% CI 0.002-0.026; P=.03), and sleep disturbances (prevalence 0.016, 95% CI 0.002-0.030; P=.02). No significant associations emerged between pandemic-related topics and moderate to severe anxiety and depression for non-HCW controls.

CONCLUSIONS

The study provides large-scale quantitative evidence that during the initial wave of the COVID-19 pandemic, HCWs faced unique work-related challenges and stressors associated with anxiety and depression, which required dedicated treatment efforts. The study further demonstrates how natural language processing methods have the potential to surface clinically relevant markers of distress while preserving patient privacy.

Effects of sleep and impulsivity on suicidality in shift and non-shift workers

INTRODUCTION

Shift workers are known to have a higher suicide risk than non-shift workers. Sleep disturbance and impulsivity are also risk factors for suicidality. This study investigated the effects of poor sleep and impulsivity on suicidality in shift and non-shift workers.

METHODS

In total, 4572 shift workers (37.0 ± 9.84 years, 2150 males) and 2093 non-shift workers (37.8 ± 9.73 years, 999 males) participated in an online self-report survey. Suicidality was assessed using the Suicidal Behaviors Questionnaire. The Pittsburgh Sleep Quality Index was employed to explore subjective sleep quality, the Insomnia Severity Index to detect insomnia, the Epworth Sleepiness Scale (ESS) to evaluate excessive daytime sleepiness (EDS), the Center for Epidemiological Studies-Depression (CES-D) Scale to assess depressive symptoms, and the Impulsive Behavior Scale (UPPS-P) to explore impulsivity.

RESULTS

Shift workers showed poorer sleep quality, and greater impulsivity and suicidality, than non-shift workers. Impulsivity, sleep duration, sleep quality, and insomnia were significantly associated with suicidality, independent of depression. For both shift and non-shift workers, sleep quality moderated the association between impulsivity and suicidality. However, the moderating effects of sleep duration and EDS on the association between impulsivity and suicidality were apparent only in non-shift workers, while a moderating effect of insomnia was observed only in shift workers.

CONCLUSION

Shift work, sleep disturbances and impulsivity may exacerbate suicide risk. In addition, the interrelationships among insomnia, EDS, impulsivity, and suicidality may differ between shift and non-shift workers.

The mediating role of attention deficit in relationship between insomnia and social cognition tasks among nurses in Saudi Arabia: A cross-sectional study

Purpose

Insomnia-related affective functional disorder may negatively affect social cognition such as empathy, altruism, and attitude toward providing care. No previous studies have ever investigated the mediating role of attention deficit in the relationship between insomnia and social cognition.

Methods

A cross-sectional survey was carried out among 664 nurses (Mage = 33.03 years; SD ± 6.93 years) from December 2020 to September 2021. They completed the Scale of Attitude towards the Patient (SAtP), the Athens Insomnia Scale (AIS), a single-item numeric rating scale assessing the increasing severity of attention complaints, and questions relating to socio-demographic information. The analysis was carried out by examining the mediating role of attention deficit in the relationship between insomnia and social cognition.

Results

The prevalence of insomnia symptoms was high (52% insomnia using the AIS). Insomnia was significantly correlated with attention problems (b = 0.18, standard error (SE) = 0.02, p < 0.001). Attention problems were significantly negatively correlated with nurses' attitudes towards patients (b = -0.56, SE = 0.08, p < 0.001), respect for autonomy (b = -0.18, SE = 0.03, p < 0.001), holism (b = -0.14, SE = 0.03, p < 0.001), empathy (b = -0.15, SE = 0.03, p < 0.001), and altruism (b = -0.10, SE = 0.02, p < 0.001). Attention problems indirectly mediated the effect of insomnia on attitudes toward patients (99% CI = -0.10 [-0.16 to -0.05]), respect for autonomy (99% CI = -0.03 [-0.05 to -0.02]), holism (99% CI = -0.02 [-0.04 to -0.01]) empathy (99% CI = -0.03 [-0.04 to -0.01]), and altruism (99% CI = -0.02 [-0.03 to -0.01]).

Conclusion

Nurses with insomnia-related attention problems are likely to have poor explicit social cognition such as attitude toward patients, altruism, empathy, respect for autonomy, and holism.

A narrative review of occupational scheduling that impacts fatigue and recovery relevant to veterinarian well-being

Background

Sleep insufficiency is a worldwide affliction with serious implications for mental and physical health. Occupational factors play a large role in determining sleep habits. Healthcare workers are particularly susceptible to job-mediated sleep insufficiency and inadequate rest in general. Little is published on sleep practices among veterinarians, and overall recognition of the impacts of inadequate rest within the veterinary profession is poor.

Objectives and procedures

This review describes occupational factors affecting sufficiency of rest and recovery, reviews veterinary-specific and relevant adjacent literature pertaining to sleep patterns, and discusses potential solutions for addressing occupational schedules contributing to sleep insufficiency and inadequate rest. Online databases were searched to extract contemporary literature pertaining to sleep, insufficient rest, and occupational factors, with a focus on veterinary medicine and other healthcare sectors.

Results

Occupational factors leading to inadequate rest among healthcare workers include excessive workloads, extended workdays, cumulative days of heavy work hours, and after-hours on-call duty. These factors are prevalent within the veterinary profession and may contribute to widespread insufficient rest and the resulting negative impacts on health and well-being among veterinarians.

Conclusion and clinical relevance

Sufficient sleep quantity and quality are critical to physical and mental health and are negatively affected by many aspects of the veterinary profession. Critical review of current strategies employed in clinical practice is essential to promote professional fulfillment, health, and well-being among veterinarians.

The impact of break duration, time of break onset, and prior shift duration on the amount of sleep between shifts in heavy vehicle drivers

This study aimed to examine the impact of break duration between consecutive shifts, time of break onset, and prior shift duration on total sleep time (TST) between shifts in heavy vehicle drivers (HVDs), and to assess the interaction between break duration and time of break onset. The sleep (actigraphy and sleep diaries) and work shifts (work diaries) of 27 HVDs were monitored during their usual work schedule for up to 9 weeks. Differences in TST between consecutive shifts and days off were assessed. Linear mixed models (followed by pairwise comparisons) assessed whether break duration, prior shift duration, time of break onset, and the interaction between break duration and break onset were related to TST between shifts. Investigators found TST between consecutive shifts (mean [SD] 6.38 [1.38] h) was significantly less than on days off (mean [SD] 7.63 [1.93] h; p < 0.001). Breaks starting between 12:01 and 8:00 a.m. led to shorter sleep (p < 0.05) compared to breaks starting between 4:01 and 8:00 p.m. Break durations up to 7, 9, and 11 h (Australian and European minimum break durations) resulted in a mean (SD) of 4.76 (1.06), 5.66 (0.77), and 6.41 (1.06) h of sleep, respectively. The impact of shift duration prior to the break and the interaction between break duration and time of break were not significant. HVDs' sleep between workdays is influenced independently by break duration and time of break onset. This naturalistic study provides evidence that current break regulations prevent sufficient sleep duration in this industry. Work regulations should evaluate appropriate break durations and break onset times to allow longer sleep opportunities for HVDs.

Shift work disorder, mental health and burnout among nurses: A cross-sectional study

AIM

The aim of the study was to examine the relationships among nurses' shift work disorder, mental health and burnout to inform efforts to alleviate shift work disorder.

DESIGN

This cross-sectional study was conducted in China using a web-based platform for questionnaire.

METHODS

The study was comprised of a convenience sample of 1,268 Registered Nurses from 21 public hospitals in mainland China from June 2019-July 2019. Participants completed a web-based survey designed to collect demographic and other self-reported data. An independent sample t test and Pearson correlation were performed to analyse the relationship between shift work disorder, mental health and burnout.

RESULTS

The vast majority (98.2%) of the participants were women between the ages of 20-59 years. The participants exhibited a higher incidence of mental health problems (58.1%) and burnout (65.5%) and those with shift work disorder exhibited a higher risk of mental health problems and burnout than those who did not have shift work disorder. Our research demonstrated that shift work disorder, combined with other variables, accounted for 40.5% of the variance in mental health (R²  = .405, adjusted R²  = .401, F = 107.214, p < .001) and 36.5% in burnout (R²  = .365, adjusted R²  = .361, F = 90.323, p < .001). Moreover, burnout negatively regulated the relationship between shift work disorder and mental health.

CONCLUSION

High-risk nurses with shift work disorder were at a much higher risk of mental health problems and burnout.

Factors affecting shift work sleep disorder in female shift work nurses: Integrating shift workers' coping with stress and transactional stress coping theory

Background

Nurses have to work different and often irregular shifts to provide care. This puts nurses at health risks, such as sleep impairment.

Design and methods

The aim of this study was to test the comprehensive conceptual framework for predicting shift work sleep disorder of female nurses, we used a structural equation model analysis based on shift worker's coping and transactional stress coping theory. This study used a cross-sectional design. We collected the data from three public hospitals and three private hospitals in South Kalimantan, Indonesia, with a total sample of 201 female shift work nurses. Data were collected from February to April 2020. We were also granted permission by the director and the head nurse of these hospitals. After obtaining the informed consent forms, we distributed the online self-report questionnaire using Google Forms. Demographic data were evaluated using descriptive statistical analysis. We used a structural equation model analysis to test the comprehensive conceptual framework for predicting shift work sleep disorder of female shift work nurses.

Results

The model's effectiveness in predicting factors contributing to shift work sleep disorder was confirmed by the good statistical fit indicated by the comparative fit index, root-mean-square error of approximation, incremental fit index, and Tucker Lewis Index.

Conclusions

This study provides evidences that workload and interpersonal conflict contribute to occupational stress. Workload, interpersonal conflict, and the biological sleep clock influences shift work sleep disorder through mediators of coping strategies and stress.

Tagesschläfrigkeit bei Pflegepersonal

Hintergrund

Aufgrund von Arbeitszeiten, die außerhalb der normalen Tagesarbeitszeit liegen, kann es bei Pflegepersonal zu Störungen der inneren Uhr kommen. Durch zusätzliche Verpflichtungen im familiären Bereich kann sich möglicherweise eine Normalisierung der zirkadianen Störung bei weiblichen Pflegenden erschweren, da sie zu Hause nicht genug Zeit für Schlaf und Erholung finden.

Fragestellung

In der vorliegenden Arbeit soll explorativ untersucht werden, ob Beschäftigte in der Pflege ein höheres Risiko für Tagesschläfrigkeit haben als andere Berufsgruppen, die nicht im Schichtdienst arbeiten. Darüber hinaus soll ebenfalls explorativ analysiert werden, inwiefern das Geschlecht in Verbindung mit der Beschäftigung im Schichtdienst eine Rolle hinsichtlich der Tagesschläfrigkeit spielt.

Material und Methoden

Aus der 10.000er Baselinestichprobe der Hamburg City Health Study (HCHS) wurden alle Proband:innen selektiert, die beruflich in der Pflege tätig waren. Anhand des Alters, des Geschlechts und des Chronotyps wurden aus dem HCHS-Datensatz aktiv Beschäftigte im Verhältnis 1:3 gezogen, die aus Branchen mit vorwiegend keiner Schichtarbeit stammen (Kontrollen). Die Tagesschläfrigkeit wurde anhand des Epworth-Sleepiness-Scale-Fragebogens (ESS) erhoben.

Ergebnisse

In der Gesamtstichprobe der HCHS waren 4646 Personen aktiv beschäftigt. Unter diesen befanden sich 134 Personen, die angaben, in der Pflege zu arbeiten. Anhand des Matchings von 1:3 wurde ein Datensatz von 536 Personen erzeugt. Insgesamt konnte für 19 % der Stichprobe eine exzessive Tagesschläfrigkeit beobachtet werden, davon betroffen waren 25 % der Pflegenden und 17 % der Beschäftigten anderer Branchen. Weibliche Beschäftigte in der Pflege hatten im Vergleich zu Männern aus anderen Branchen ein statistisch signifikant erhöhtes Risiko für exzessive Tagesschläfrigkeit (OR 3,5; 95 % KI 1,32–9,23).

Diskussion

Anhand der Ergebnisse der bevölkerungsbezogenen Untersuchung zeigt sich, dass Pflegepersonal im Vergleich zu Branchen ohne Schichtarbeit öfter von Tagesschläfrigkeit betroffen ist. Inwieweit Frauen, die in der Pflege arbeiten ein noch höheres Risiko für Tagesschläfrigkeit besitzen, sollte in weiteren Studien anhand zusätzlicher Merkmale präziser untersucht werden.

Negative representations of night-shift work and mental health of public hospital healthcare workers in the COVID-19 era (Aladdin survey)

BACKGROUND

Many risk factors impact the health of hospital night workers, which can lead to physical and mental health disorders. During the recent period, night hospital workers have been particularly stressed. This study therefore aims to: (i) To document the prevalence of depression, anxiety, sleep disorders, and symptoms suggestive of post-traumatic stress disorder in night shift workers (NSHW) working in Parisian public hospitals after France's first COVID-19 wave ended; (ii) To estimate the effect of negative representations and perceptions of night shift work on these mental health outcomes.

METHODS

An observational cross-sectional online survey of NSHW (June to September 2020) in 39 public hospitals in Paris, France. Standard scales were used to measure mental health outcomes. Weighted multinomial logistic regression models supported the identification of predictors of depression (score > 10 on the Hospital Anxiety and Depression Scale, HADS, for depression), anxiety (score > 10 on the HADS for anxiety), severe insomnia (score > 21 on the Insomnia Severity Index, ISI) and symptoms suggestive of post-traumatic stress disorder (score > 36 on the Impact of Event Scale-Revised, IES-R).

RESULTS

The weighted prevalence rates [95% confidence interval] of depression, anxiety, severe insomnia, and symptoms of post-traumatic stress disorder were, respectively, 18.9% [16.5-21.2], 7.6% [6.0-9.1], 8.6% [6.9-10.2] and 11.7% [9.7-13.6]. After multiple adjustment, organizational changes in NSHW professional lives due to the COVID-19 pandemic (such as moving to another hospital department and modified schedules) and NSHW-perceived negative representations of night work were significantly associated with all studied mental health outcomes.

CONCLUSION

Our findings confirm the importance of monitoring mental health and sleep quality among NSHW in Parisian public hospitals, even more during health crises. Multilevel interventions aiming at reducing negative representations and improving work organization are urgently needed to improve overall health of this frontline healthcare providers group.

Pregnant nurses' experiences of working shifts: a qualitative systematic review protocol

OBJECTIVE

The proposed systematic review will synthesize the experiences of nurses working in any shifts during pregnancy.

INTRODUCTION

Nurses are among the most burdened health care workers and are at risk of diseases of the circulatory system due to prolonged standing. For pregnant nurses, this could reduce blood circulation and blood flow to the uterus and placenta. Contributing factors include long working hours and frequent heavy lifting, which may induce uterine contractions and premature birth; irregular shifts, which exacerbate fatigue; and high levels of psychosocial stress. There is no qualitative evidence as to what nurses are experiencing while working shifts when pregnant. This review will evaluate and integrate the current available findings related to the experience of shift-working nurses who are pregnant.

INCLUSION CRITERIA

This review will include qualitative studies focusing on the experience of shift work among pregnant nurses. No language or date limits will be applied. All types of pregnancy among nurses will be included.

METHODS

The databases to be searched will include CINAHL (EBSCOhost), MEDLINE (EBSCOhost), PsycINFO (EBSCOhost), and Igaku Chuo Zasshi (the Japan Medical Abstracts Society). Sources of gray literature will include MedNar and DANS, as well as the websites of the American Nurses Association and the Japanese Nursing Association. Study selection, critical appraisal, data extraction, and data synthesis will be performed independently by 2 reviewers. The synthesized findings will be graded according to the ConQual approach for establishing confidence in findings.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42022309674.

Network structure of insomnia symptoms in shift workers compared to non-shift workers

Insomnia is a commonly occurring sleep problem in shift workers. So far, no studies have investigated how insomnia symptoms present differently in shift workers and non-shift workers. The purpose of this study was to compare the network structures and centrality indices of shift and non-shift workers using network analysis and network comparison test. Participants included 1339 hospital employees, where 542 were shift workers and 797 were non-shift workers. Overall, a significant difference between network structures were observed. In particular, daytime dysfunction emerged as a strongly connected symptom in shift workers, as evidenced by strength centrality. Increased use of sleeping medication and decreased habitual sleep efficiency were more strongly associated with increased daytime dysfunction in shift workers. Sleep latency and sleep quality were also more strongly linked in shift workers. These results are in part attributable to differing causes of insomnia in shift and non-shift workers. Furthermore, the results indicate that shift workers are more vulnerable and susceptible to changes in sleep-related indices, such as sleep efficiency and latency. The findings suggest that certain insomnia symptoms are more consequential in shift workers, emphasizing the need for a differentiated approach in treating insomnia according to shift work.

Which Shiftwork Pattern Is the Strongest Predictor for Poor Sleep Quality in Nurses?

Shiftwork is related to an increased risk of several diseases, including gastric ulcers, myocardial infarction, and diabetes. Several shiftwork patterns are related to poor sleep quality, such as a quick returns or extended shifts. This study aimed to find the shiftwork patterns strongly associated with poor sleep quality amongst nurses. A cross-sectional analytical study was conducted among nurses working for at least one month. The sub-groups were the good sleep quality group (n = 150) and the poor sleep quality group (n = 472). Eligible participants were asked to complete a self-reported questionnaire comprising personal characteristics, job characteristics, shiftwork characteristics, and sleep quality. Factors associated with poor sleep quality were determined using logistic regression analysis. Two factors associated with poor sleep quality remained in the final model: viz., depression and backward rotational shift. The only independent factor for poor sleep quality was a backward rotational shift with an adjusted odds ratio (95% CI) of 1.946 (1.344, 2.871). In conclusion, compared with other shift patterns, backward shiftwork was the most significant factor associated with poor sleep quality and should be avoided.

The significant association between quick return and depressive symptoms and sleep disturbances in paid workers: A nationwide survey

Objectives

Although many studies have examined the association between shift work and depression or insomnia, few studies have examined the relationship between quick return (QR) to work and depressive symptoms, regardless of shift work. Thus, in this study, we aimed to assess the association between depressive symptoms (DS)/sleep disturbances (SDs) and QR.

Methods

Data from the 6^th Korean Working Conditions Survey (2020) were used for this study. Paid workers aged between 20 and 65 years were included. DS were defined using the World Health Organization Well-Being Index (WHO-5) with a cut-off 50, and SD was defined as the occurrence of the following symptoms several times per month: difficulty in falling asleep, waking up in the middle of the night, or feeling tired even after waking up. QR was defined as "at least one case where the working interval between leaving work and the next day's work was < 11 h in the past month." Multivariable logistic regression was performed to estimate the adjusted odd ratios (aORs) and 95% confidence intervals (CIs). Mediation analysis was conducted to examine whether SD was a significant mediator in the association between QR and DS.

Results

Among the 27,554 participants, DS occurred in 8,277 patients, while SD occurred in 6,264 patients. The aORs (95% CIs) of DS and SD by QR were 2.01 (1.78-2.27) and 3.24 (2.87-3.66), respectively, after adjusting for age, gender, income, education, working hours, job status, working duration, region, shift work, and occupation. SD was a significant mediator in the association between QR and DS.

Conclusion

QR is significantly associated with DS or SD regardless of demographic factors and the working environment. The significant relationship between QR and DS may be mediated by SD.

Impact of the COVID-19 pandemic on nurses mental health status in Iraq

BACKGROUND

The COVID-19 pandemic is a major health crisis that has changed the life of millions globally. Coronaviruses are viruses' group that can contract animals and humans and the cause of severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and COVID-19. Nurses are the primary service providers in the health care; nurses who are in close contact with infectious patients need to get their mental health checked and supervised on a regular basis, particularly with regard to stress, anxiety, and suicidal ideation, so that they can provide optimal quality of life and healthy mental health to have good care for patients to assess the impact of the pandemic on mental health status for nurses in Iraq.

MATERIALS AND METHODS

A total of sample study (1000) nurses in Iraq completed an online questionnaire between March and May 2021. Psychological impact was assessed using the depression anxiety stress scale (DASS21).

RESULTS

The study revealed impact COVID-19 on mental health status (anxiety stress) and no impact COVID-19 on mental health status (depression) for nurses was (P value = 0.040 and P value = 0.045, respectively).

CONCLUSION

The impact COVID-19 on mental health status for nurses. Protecting the nursing staff from chronic stress, anxiety, and depression, which constitutes a psychological burden on health during the outbreak of the COVID-19 pandemic, by clarifying the disease and how to prevent it, as well as providing the personal protective equipment to decrease stress, anxiety, and depression during the pandemic.

The Joint Association of Daily Rest Periods and Sleep Duration with Worker Health and Productivity: A Cross-Sectional Web Survey of Japanese Daytime Workers

A daily rest period (DRP) is a daily inter-work interval that contains sleep opportunity. This study investigates the joint association of DRP and sleep duration with worker health and productivity. A total of 13,306 Japanese daytime workers participated in this web-based cross-sectional survey. Participants reported on their DRPs and sleep duration; moreover, sleep difficulties, mental health, and presenteeism were assessed by the standardized questionnaires. The participants were divided into 10 groups based on their DRPs and sleep duration. Logistic regression analyses showed that the combination of quick return (QR: DRP of <11 h) and short sleep duration (<6 h) was found to be significantly associated with sleep difficulties (odds ratio [OR] = 4.45, 95% confidence interval [CI] = 2.83-7.01), poor mental health (OR = 3.04, 95% CI = 1.79-5.15), and presenteeism (OR = 2.35, 95% CI = 1.47-3.77) compared with the reference group (the combination of adequate DRP [15 h] and a normal sleep duration [≥6 h]). The combination of QR and normal sleep duration or adequate DRP and short sleep duration was significantly associated with high ORs for the outcomes. QR, short sleep duration, or both negatively affect worker health and productivity.

SHIFTPLAN: a randomized controlled trial investigating the effects of a multimodal shift-work intervention on drivers' fatigue, sleep, health, and performance parameters

BACKGROUND

Shift work is commonly associated with health problems resulting from circadian misalignment and sleep restriction. About one in three shift workers is affected by insomnia and up to 90% report regular fatigue and/or sleepiness at the workplace. Epidemiological data shows that shift workers are at increased risk of cardiovascular disease, diabetes, obesity, breast cancer, mental-health problems, and shift-work disorder, which conditions typically lead to reduced work performance, processing errors, accidents at work, absenteeism, and reduced quality of life. Given these widespread and debilitating consequences, there is an urgent need for treatments that help improve the sleep, health, and functional performance of the shift-working population. The most common non-pharmacological recommendations are improved scheduling, bright-light exposure, napping, psychoeducation promoting sleep hygiene, and cognitive-behavioral techniques. The objectives of the present study are to investigate the effects of a multimodal shift-work intervention on perceived fatigue, sleepiness, physical and mental health, sleep parameters, and absenteeism.

METHODS

A randomized controlled interventional study comparing the two groups each comprising at least 80 drivers of a public transport company, using self-report questionnaires and health checks completed at intake and after 3 and 6 months following the start of the intervention or waiting-list period. The intervention consists of (a) healthy scheduling taking into account shift-rotation direction and speed, chronotype, resting time, and napping; (b) an education program specifically developed for shift workers; and (c) a dedicated information campaign for shift planners. The primary outcome is symptomatic burden in terms of sleepiness, and the key secondary outcome is symptomatic burden in terms of fatigue. Supplementary secondary outcomes are sleep parameters, absenteeism, general and clinical health, changes in mood, and anxiety.

DISCUSSION

Expected outcomes are significant improvements on all primary and secondary outcome parameters in the intervention group. To our knowledge, ours is the first randomized controlled study to systematically investigate the effects of a multimodal program on multiple health, sleep, and performance parameters in shift workers. Our research also aims at providing evidence-based practice guidelines for healthy scheduling in general and thus contribute to diminishing the serious health and economic burdens associated with shift work overall.

TRIAL REGISTRATION

EDGE registration number: 000339.

CLINICALTRIALS

gov NCT05452096.

Clinical incidents in the emergency department: is there an association with emergency nursing shift patterns? A retrospective observational study

Introduction

Clinical incident (CI) management within healthcare settings is a crucial component of patient safety and quality improvement. The complex environment in the emergency department (ED) and nursing work schedules are important aspects of human factor ergonomic (HFE) systems that requires closer examination. Nursing shifts are closely related to fatigue, including the late/early shift pattern and night shift. All nursing shifts were examined over a 1-year period when a CI occurred to a patient in the ED to identify if there was an association.

Methods

This was a retrospective observational study, conducted and reported using the Strengthening of the Reporting of Observational Studies in Epidemiology statement. All CIs reported in the ED over a 1-year period were reviewed by accessing the CI database, emergency department information system and patient health records. The nursing roster database was accessed to record nursing shifts and were de-identified.

Results

A total of n=244 CIs were eligible for inclusion into the study. ED nursing shift analysis included n=1095 nursing shifts. An analysis of early, late and night shifts, including days not worked by the ED nurse was conducted over a 48-hour and 96-hour period. There was no significant relationship identified between the CI and nursing shift patterns. ED length of stay (LOS) was significantly higher for a patient presentation when a CI occurred.

Conclusion

This study focused on the HFE system of nursing work schedules and CI events that occurred in the ED. This study found there was no relationship between emergency nursing shift patterns and an increased risk for the occurrence of a CI in the ED. Although a strong link was found between patients experiencing a CI in the ED and an extended LOS. This demonstrates the need for studies to investigate the interrelationships of multiple HFE systems in the ED, including the environment, patient, clinical team and organisational factors.

Salivary Biomarker Profiles and Chronic Fatigue among Nurses Working Rotation Shifts: An Exploratory Pilot Study

Although nurses’ fatigue affects their well-being and patient safety, no effective objective measurements exist. We explored the profiles of salivary biomarkers associated with nurses’ chronic fatigue across several shifts. This longitudinal study involved 45 shiftwork nurses and collected their saliva samples before two night and two day shifts for a month. Chronic fatigue was measured using the Cumulative Fatigue Symptom Index before the first night shift. Biomarker profiles were analyzed using hierarchical cluster analysis, and chronic fatigue levels were compared between the profiles. Cortisol profiles were classified into high- and low-level groups across two day shifts; the low-level group presented significantly higher irritability and unwillingness to work. Secretory immunoglobulin A (s-IgA) profiles across the four shifts were classified into high- and low-level groups; the high-level group had significantly higher depressive feelings, decreased vitality, irritability, and unwillingness to work. Cortisol (two day shifts) and s-IgA (four shifts) profiles were combined, and (i) cortisol low-level and s-IgA high-level and (ii) cortisol high-level and s-IgA low-level groups were identified. The former group had significantly higher chronic fatigue sign and irritability than the latter group. The profiles of salivary cortisol and s-IgA across several shifts were associated with nurses’ chronic fatigue.

Work schedule characteristics associated with sleep disturbance among healthcare professionals in Europe and South Korea: a report from two cross-sectional surveys

Background

Healthcare professionals worldwide are prone to sleep disturbance. Such sleep disturbance is associated with lower patient safety and quality of care. Therefore, this study aimed to identify the prevalence of sleep disturbance and determine the effect of work schedule characteristics on sleep disturbance among healthcare professionals in Europe and South Korea.

Methods

We used the sixth European Working Conditions Survey and the fifth Korean Working Conditions Survey for analyses. The study included 2285 healthcare professionals aged 18–65 years. Work schedule characteristics included shift work, night work, working hours per week, long work hours (i.e., more than 10 hours per shift), quick return to work, having to come to work on short notice, and changes in work schedules. A multiple logistic regression analysis was performed.

Results

The overall prevalence of sleep disturbance was 37.7%. The multivariate logistic regression model indicated that long work hours, quick return to, having to come to work on short notice, and changes in work schedules were significant factors associated with sleep disturbance among healthcare professionals.

Conclusion

The findings revealed that several work schedule-related factors were associated with sleep disturbances in healthcare professionals in Europe and Korea. Institutions and policymakers should implement strategies and policies to reduce the unpredictability of work schedules to ensure an adequate rest period between shifts and to reduce sleep disturbances.

Shift-work sleep disorder among health care workers at public hospitals, the case of Sidama national regional state, Ethiopia: A multicenter cross-sectional study

Introduction

Shift-work disrupts circadian rhythm, resulting in disturbed sleep time and excessive sleepiness during the work shift. Little is known about shift-work sleep disorder among health care workers in Ethiopia. This study examined the magnitude and associated factors of shift-work sleep disorder among health care workers in Public Hospitals in Sidama National Regional State, Southern Ethiopia.

Methods

An institution-based cross-sectional study was carried out on 398 health care workers selected using a systematic random sampling technique. A self-administered structured questionnaire consisting of insomnia, sleepiness scales and international classification of sleep disorder criteria items was employed. Epi data version 4.6 and Stata 14 were used for data entry and statistical analysis respectively. Binary logistic regression was fitted to determine associated factors and decision for the statistical significance was made at p<0.05 in the multivariable binary logistic regression.

Results

Three hundred and ninety-eight health care workers (female = 53%) were included in the analysis with a response rate of 94.8%. The prevalence of shift-work sleep disorder was 33.67% (95% CI: 29.17%-38.45%). Being married (AOR = 1.88 (1.01–3.28)), three-shift (AOR = 1.078 (1.00–3.16)), ≥11 night shifts per month (AOR = 2.44 (1.36–4.38)), missing nap (AOR = 1.85 (1.04–3.30)), daily sleep time < 7hours (AOR = 1.88 (1.05–3.38)), khat chewing (AOR = 2.98 (1.27–8.09)), alcohol drinking (AOR = 2.6(1.45–4.92)), and cigarette smoking (AOR = 3.32 (1.35–8.14)) were significantly associated with shift-work sleep disorder.

Conclusion

This study showed a high prevalence of shift-work sleep disorder. Two shift schedule, napping, and reduction of substance use might reduce shift-work sleep disorder.

A shift to something better? A longitudinal study of work schedule and prescribed sleep medication use in nurses

OBJECTIVES

To explore whether a change in work schedule was associated with a change in the probability of prescribed sleep medication use.

METHODS

A longitudinal study with annual questionnaire data (2008/2009-2021, except 2019) on work schedule (day work only, shift work without nights and shift work with nights) and prescribed sleep medication use from 2028 Norwegian nurses (mean age 31.7 years, 90.5% women at baseline) who participated in the ongoing Survey of Shift work, Sleep and Health (SUSSH). Associations were estimated using a random effects model, and a fixed effects regression model in which nurses were included as their own control to account for potential unobserved confounding.

RESULTS

In both models, day work was associated with a more than 50% lower probability of sleep medication use compared with shift work with nights (adjusted OR (aOR) 0.50, 95% CI 0.27 to 0.93 in the random effects model, and an aOR 0.32, 95% CI 0.14 to 0.70 in the fixed effects regression model). Shift work without nights was associated with a non-statistically significant reduction in sleep medication use within nurses in the fixed effects regression model when compared with shift work with nights (aOR 0.66, 95% CI 0.37 to 1.20).

CONCLUSIONS

Day work was associated with a significant reduced probability of prescribed sleep medication use compared with shift work with nights. This indicates that quitting night work will improve sleep and thereby reduce hypnotic use.

Individual and Work Factors Associated with Psychosocial Health of Registered Nurses During the Covid-19 Pandemic: A Mixed Methods Study

OBJECTIVE

To describe the initial influence of the Covid-19 pandemic on U.S. nurses' psychosocial health, and to identify factors associated with poor psychosocial health outcomes.

METHODS

We conducted a convergent (QUAN+qual) mixed methods study. From June to August 2020, we administered surveys (N = 629) and conducted semi-structured interviews (N = 34) among nurses working across healthcare settings in 18 states. We developed separate multivariable logistic regression models for three psychosocial outcomes (anxiety, depressive symptoms, insomnia). We used content analysis to process and analyze qualitative data, and integrated results in the final analysis step.

RESULTS

Nurses reported high rates of depressive symptoms (22%), anxiety (52%), and insomnia (55%). Disturbances to sleep were both a contributing factor to, and an outcome of, poor psychosocial health.

CONCLUSIONS

Evidence-based interventions addressing work stress and sleep, and proactive monitoring of nurses' psychosocial health by employers are urgently needed.

Relationship between insomnia and rest time between shifts among shift workers: A multicenter cross‐sectional study

Objectives

A rest time of less than 11 h taken by a shift worker between shifts is defined as quick return (QR). QR is shown to decrease sleep time by virtue of decreasing rest time, diminishing sleepiness and exhaustion, and increasing the number of sick days taken by employees. Therefore, in this multicenter retrospective study, the association between QR and the incidence of insomnia was established using the night‐shift questionnaire from the Korean Workers Health Examination‐Common Data Model.

Methods

Three hospitals collected the night‐shift profiles and baseline demographic data of 33 669 workers between January 2015 and December 2017. The most recent date of examination was used for participants who had been examined multiple times at the same institution. We used multiple logistic regression to calculate the odds ratios (ORs) and 95% confidence intervals (CIs). The pooled ORs were estimated using combined results from the three institutions.

Results

The proportion of men was higher than that of women in the QR group at each institution. The pooled ORs were computed using combined data from the three institutions. Workers who reported a QR had the highest risk of sleeplessness (OR, 1.21; 95% CI, 1.12–1.31) compared to those workers who reported a slow return, after adjusting for possible confounders.

Conclusions

A substantial correlation was established between QR and insomnia using the CDM approach and data from multiple centers. This study may serve as a foundation for developing guidelines to enhance the health of shift workers and prevent occupational accidents.

The pooled prevalence of the mental problems of Chinese medical staff during the COVID-19 outbreak: A meta-analysis

BACKGROUND

The COVID-19 pandemic has had a great impact on the mental health of the medical staff in China, especially those on the first-line (frontline) of the pandemic. But the profile of the mental problem of nationwide Chinese medical staff is still unclear, especially about the sleep problems.

METHODS

There are five databases (PubMed, Embase, CNKI, Wanfang Database and Web of Science) searched to identify the published studies on the mental health of the medical staff in China during the COVID-19 outbreak. The pooled prevalence of mental problems of Chinese medical staff during the pandemic were calculated, especially for the first-line medical staff. Subgroup analysis and meta-regression analysis were performed to identify the potential impact factors.

RESULTS

A total of 71 articles including 98,533 participants are included in this meta-analysis. The results showed that the pooled prevalence of the mental problems was as follows: anxiety problem 27%, depression problem 29%, sleep problem 40%. Subgroup analysis showed that there were significant differences in the prevalence of anxiety and depression problems between first-line and non-first-line medical staff (p < 0.01). Sex had a significant impact on the sleep of first-line medical staff (p < 0.01).

LIMITATIONS

There may be heterogeneity among the included studies. The analysis of potential influencing factors remains limited.

CONCLUSIONS

The prevalence of adverse mental problems among medical staff is high during the COVID-19 outbreak. We need to pay special attention to the mental health of first-line medical staff, especially the sleep problems of female first-line workers.

Rostering in Air Traffic Control: A Narrative Review

Most Air Traffic Controllers (ATCOs) must cover uninterrupted work shifts for 24 h a day, seven days a week. The proper planning of a shift schedule requires consideration of at least three elements: the specific characteristics of the controller task, the physiological needs of the operator, and the definition of rest periods within rostering. We reviewed the literature for providing comprehensive guidance on the main requirements for the construction of a shift schedule for ATCOs. Our considerations are organized according to a rationale reflecting the most important criteria for the construction of the schedule: namely, the organization of rest periods conceptualized as intervals between cycles of shifts, intervals between individual shifts, and breaks within the shift. The suggested parameters could be used to construct shift schedules within a variation margin that depends on individual contexts of application.

Factors affecting the caring performance of newly graduated Nurses' working in critical care units

BACKGROUND

Although many studies have discussed nurses' caring performance, few have focussed on critical care nurses. Also, none have studied this among newly graduated nurses despite their very different circumstances.

AIM

The purpose of this study was to examine factors affecting the caring performance of newly graduated nurses in critical care units.

METHOD

A descriptive cross-sectional design, using self-reported questionnaires, was used among a sample of 209 nurses interviewed in Jordanian hospitals. The Mental Health Professionals Stress Scale was used for measuring work-related stress and the Caring Behaviours Assessment tool to assess caring performance. Data collection was conducted from March to May 2018.

RESULTS

The participants had moderate levels of caring performance (M = 182.6/315, SD = 15.46). The highest score was reported for 'Supportive/Protective/Corrective Environment' subscale, while the lowest for 'Teaching/Learning' subscale. Many significant differences were noticed in caring performance based on participants' demographics. Only working in private hospitals was a significant predictor for caring performance (P < .05) predicting 14% of variance.

CONCLUSION

Caring performance of newly graduated nurses in critical care units was affected by many factors including workload, self-doubt, income and area of working. The significance was flagged of developing nursing policies concerned with stress relief and improvement of caring performance.

Disturbance of the Circadian System in Shift Work and Its Health Impact

The various non-standard schedules required of shift workers force abrupt changes in the timing of sleep and light-dark exposure. These changes result in disturbances of the endogenous circadian system and its misalignment with the environment. Simulated night-shift experiments and field-based studies with shift workers both indicate that the circadian system is resistant to adaptation from a day- to a night-oriented schedule, as determined by a lack of substantial phase shifts over multiple days in centrally controlled rhythms, such as those of melatonin and cortisol. There is evidence that disruption of the circadian system caused by night-shift work results not only in a misalignment between the circadian system and the external light-dark cycle, but also in a state of internal desynchronization between various levels of the circadian system. This is the case between rhythms controlled by the central circadian pacemaker and clock genes expression in tissues such as peripheral blood mononuclear cells, hair follicle cells, and oral mucosa cells. The disruptive effects of atypical work schedules extend beyond the expression profile of canonical circadian clock genes and affects other transcripts of the human genome. In general, after several days of living at night, most rhythmic transcripts in the human genome remain adjusted to a day-oriented schedule, with dampened group amplitudes. In contrast to circadian clock genes and rhythmic transcripts, metabolomics studies revealed that most metabolites shift by several hours when working nights, thus leading to their misalignment with the circadian system. Altogether, these circadian and sleep-wake disturbances emphasize the all-encompassing impact of night-shift work, and can contribute to the increased risk of various medical conditions. Here, we review the latest scientific evidence regarding the effects of atypical work schedules on the circadian system, sleep and alertness of shift-working populations, and discuss their potential clinical impacts.