ABSTRACT
The cognitive ability to self-monitor one's current performance is important for hospital nurses to maintain safety and health. However, studies on the effects of rotating shift work on self-monitoring ability are insufficient. We examined the differences in self-monitoring accuracy across shifts in a rotating three-shift system among 30 female ward nurses (mean age 28.2 years). Their self-monitoring ability was calculated by subtracting the predicted reaction times of the psychomotor vigilance task performed just before exiting the workplace from the actual reaction times. A mixed-effect model was employed to assess the effects of shift, awake hours, and prior sleep duration on self-monitoring ability. We observed impaired self-monitoring ability in nurses, particularly after the night shift. Although actual performance remained high across all shifts, their self-predictions on reaction times became pessimistic in the night shift, resulting in a difference of approximately-100 msec. The effect of the shift on self-monitoring was obvious even after adjusting for sleep duration and hours awake. Our findings indicate that the misalignment between their working hours and circadian rhythms may affect even professional nurses. Occupational management that emphasizes maintaining circadian rhythms will improve the safety and health of nurses.
Subject(s)
Nurses , Wakefulness , Humans , Female , Adult , Reaction Time , Sleep , Work Schedule Tolerance , Circadian RhythmABSTRACT
The nature of the current rotating roster, providing 24-h air traffic services over five irregular shifts, leads to accumulated fatigue which impairs air traffic controllers' cognitive function and task performance. It is imperative to develop an effective fatigue risk management system to improve aviation safety based upon scientific approaches. Two empirical studies were conducted to address this issue. Study 1 investigated the mixed effect of circadian rhythm disorders and resource depletion on controllers' accumulated fatigue. Then, study 2 proposed a potential biofeedback solution of quick coherence technique which can mitigate air traffic controllers' (ATCOs') fatigue while on controller working position and improve ATCOs' mental/physical health. The current two-studies demonstrated a scientific approach to fatigue analysis and fatigue risk mitigation in the air traffic services domain. This research offers insights into the fluctuation of ATCO fatigue levels and the influence of a numbers of factors related to circadian rhythm and resource depletion impact on fatigue levels on study 1; and provides psychophysiological coherence training to increase ATCOs' fatigue resilience to mitigate negative impacts of fatigue on study 2. Based on these two studies, the authors recommended that an extra short break for air traffic controllers to permit practicing the quick coherence breathing technique for 5 min at the sixth working hour could substantially recharge cognitive resources and increase fatigue resilience. Application: Present studies highlight an effective fatigue intervention based on objective biofeedback to moderate controllers' accumulated fatigue as a result of rotating shift work. Accordingly, air navigation services providers and regulators can develop fatigue risk management systems based on scientific approaches to improve aviation safety and air traffic controller's wellbeing.
Subject(s)
Aviation , Humans , Task Performance and Analysis , Cognition , FatigueABSTRACT
AIMS AND OBJECTIVE: This study examined the difference between rotating and fixed shift schedules on work-family conflict, family-work conflict and work-related quality of life. BACKGROUND: There is a lack of evidence regarding the effect of rotating shifts on work-family conflict, family-work conflict and work-related quality of life among nurses. DESIGN: A cross-sectional design was used to conduct this study. METHODS: Data were collected from 216 nurses using the Work and Family Conflict Scale and Work-Related Quality of Life. Bivariate correlations and independent samples t-tests were performed. The results of the current study were reported using the STROBE checklist. RESULTS: Bivariate correlations showed that work-related family quality of life is negatively associated with work-family and family-work conflicts. The mean differences between the two groups (rotating and fixed shifts) were significant for all three variables: work-family conflicts, family-work conflicts and work-related quality of life. CONCLUSIONS: Rotating shifts are associated with an increased risk of experiencing work-family and family-work conflicts and decreasing their quality of working life, which may adversely affect the quality of care provided. RELEVANCE TO THE CLINICAL PRACTICE: The effect of shift types on nurses and how rotating shifts have more severe consequences on nurses should be considered. Nurse managers are encouraged to use the findings of this study to mitigate the risk of any work-family or family-work conflicts and improve nurses' work-related quality of life. PATIENT OR PUBLIC CONTRIBUTION: The chief nursing officers at the data collection settings facilitated direct contact with potential participants and data collection.
Subject(s)
Family Conflict , Nurses , Humans , Work Schedule Tolerance , Quality of Life , Cross-Sectional Studies , Surveys and QuestionnairesABSTRACT
PURPOSE: To compare physical, psychological, and physiological adaptations between rotating and morning shift health workers using objective and subjective approaches. METHODS: Forty nurses [n = 20 morning shift (MS) group; n = 20 rotating shift (RS) group] were evaluated for anthropometry, body composition, and handgrip strength. Quality of life, depression, fatigue, daytime sleepiness, and sleep quality were assessed with SF-36, Zung Self-Rating Depression Scale (SDS), Fatigue Severity Scale (FSS), Epworth Sleepiness Scale (ESS), and Pittsburgh Sleep Quality Index (PSQI), respectively. Physical activity was assessed by the International Physical Activity Questionnaire (IPAQ) and triaxial accelerometers. Sleep-related data were monitored with sleep actigraphy. Salivary melatonin levels were analyzed before/after sleep, and blood lipid profiles were measured the following morning. RESULTS: The RS group had higher mean BMI and total and abdominal fat and scored lower in the SF-36 (p < 0.01). All nurses showed reduced physical activity levels, which, in the RS group, were negatively correlated with FSS (p = 0.033) and SDS scores (p = 0.025). Poor sleep was revealed in 53% of nurses. The RS group had worse sleep quality by PSQI than the MS group (p = 0.045). PSQI scores were inversely related to SF-36 scores and positively correlated with FSS, BMI, waist circumference, and body fat (p < 0.05). CONCLUSION: RS nurses showed increased body mass and total and abdominal fat along with decreased quality of life and sleep quality compared to MS counterparts. A strong relationship was found between physical, psychological, and physiological domains. Further studies should consider workplace interventions to prevent obesity, promote physical activity, and manage poor sleeping patterns in nurses.
Subject(s)
Biological Clocks/physiology , Nursing Staff, Hospital/psychology , Shift Work Schedule/adverse effects , Sleep Disorders, Circadian Rhythm/etiology , Sleep Wake Disorders/etiology , Adult , Circadian Rhythm , Female , Humans , Male , Middle Aged , Quality of LifeABSTRACT
PURPOSE: The aim of this study was to identify the patterns of the decline in the alertness of rotating-shift nurses during working hours across different shift types (day, evening, and night) using an objective measure. DESIGN: An observational study using ReadiBand wrist actigraphs was conducted. METHODS: Data were collected from June 2019 to February 2020. Participants were rotating-shift nurses (N = 82) who provided direct nursing care for patients in acute care hospitals in South Korea. Nurses wore actigraphs continuously for 14 days on their non-dominant hand to identify sleep-wake cycles and predict their alertness scores hourly. All participants completed a sleep diary. FINDINGS: Nurses working during night shifts had lower average alertness scores (mean = 77.12) than nurses working during day (mean = 79.05) and evening (mean = 91.21). Overall, alertness showed a declining trend and the specific patterns of decline differed across shifts. Participants with alertness scores less than 70 or 80 demonstrated a significant decline in alertness across all shifts. CONCLUSIONS: Distinct patterns of decline in alertness per nursing shift were revealed. Each shift feature should be considered when developing interventions to increase nurses' alertness, promote high-quality care provision, and ensure patient safety. CLINICAL RELEVANCE: The implementation of interventions to increase alertness among shift nurses is needed at the organizational level, and the cooperation of nursing managers and administrators is required.
Subject(s)
Nurses , Work Schedule Tolerance , Attention , Humans , Republic of Korea , SleepABSTRACT
The purpose of this study was to estimate the effect of past and current rotating shift assignments on U.S. law enforcement officers' health outcomes. In a nationally representative sample of 2,867 officers, with an oversample of female officers, we estimated models of sleep quality and fatigue, physical health outcomes, and psychological health outcomes. Further, we examined individual and agency-level factors associated with officers who reported currently working a rotating shift, to investigate what patterns there may be in shift assignments. A history of rotating shift assignments was positively associated with lower sleep quality, and with hypertension, diabetes, and high cholesterol, but not with gastrointestinal disorders, perceived stress, emotional well-being, or suicidality. The associations of shiftwork with health outcomes did not vary by gender. Demographic characteristics did not predict current rotating shift assignments, but a longer history of shiftwork and more working hours did predict a current shift assignment. Attention to mitigating shift system designs as well as the effect of cumulative years of working a rotating shift for the benefit of officer health outcomes is warranted.
Subject(s)
Law Enforcement , Work Schedule Tolerance , Fatigue , Female , Humans , Outcome Assessment, Health Care , PoliceABSTRACT
Atypical working time patterns are known to be associated with adverse physical health consequences. The impact of chronic exposure to shift work on psychological wellbeing and mental health is also reported, but not fully appreciated. We conducted a systematic review of the literature on the association between shift work and affective disorders using the electronic databases Medline, PsycINFO, Embase, Web of Science and Google Scholar. Data extracted included detailed characteristics of shift work, the affective disorders under study, and the population targeted. Some 25 extracted articles satisfied all inclusion and exclusion criteria. Findings of these articles reveal shift work is associated with increases in depressive symptoms (12 studies), anxiety (2 studies), and depression and anxiety (7 studies). Only three studies found no association between shift work and depression. The findings of this review suggest that shift work increases the symptoms of depression and anxiety.
Subject(s)
Shift Work Schedule , Anxiety , Circadian Rhythm , Depression , Humans , Mental Health , Mood DisordersABSTRACT
BACKGROUND: Poor sleep quality consequences among shift working nurses are well recognized. AIM: To investigate the impact of sleep improvement on sexual quality of life. METHODS: The study was a parallel randomized controlled trial, conducted among 120 female nurses in 2 educational hospitals in the Northeast of Iran, Shahroud. Using random blocks of four, 120 eligible participants were randomly assigned to study groups. Data collecting tools included a demographic data questionnaire, Pittsburgh Sleep Quality Index to assess sleep quality, and the survey of sexual quality of life-female and Sexual Self-Efficacy Questionnaire to evaluate level of sexual quality of life and sexual self-efficacy, respectively. The intervention consisted of 3 weekly sleep intervention sessions that lasted from 90 to 120 minutes. OUTCOMES: The study's primary and secondary outcomes were sleep quality, and the level of sexual self-efficacy and sexual quality of life, respectively. RESULTS: By 3-month follow-up, the loss to follow-up rate was 5.9%. The mean sleep quality score was 7.61 ± 2.26 in the recruited participants. Following the intervention, the sleep quality score showed statistically significant differences compared to the control group [mean difference (CI 99.98%), -1.89 (-2.40, -1.38)]. Participants in the intervention group showed modest increases in both measures; sexual self-efficacy [mean difference (CI 99.98%), 8.82 (6.83, 10.81)] and sexual quality of life [mean difference (CI 99.98%), 19.64 (18.08, 21.20)]. CLINICAL IMPLICATIONS: These findings suggest that sleep improvement could promote the sexual quality of life among shift working nurses. STRENGTHS & LIMITATIONS: Strengths of this study include the use of a validated outcome measure. Focusing the study on female nurses and the small size of the study population are the limitations. CONCLUSION: Improved sleep showed an impact on sexual quality of life among rotating female shift workers. Khastar H, Mirrezaie SM, Chashmi NA, et al. Sleep Improvement Effect on Sexual Life Quality Among Rotating Female Shift Workers: A Randomized Controlled Trial. J Sex Med 2020;17:1467-1475.
Subject(s)
Quality of Life , Sleep , Female , Humans , Iran , Sexual Behavior , Surveys and QuestionnairesABSTRACT
Schedule changes associated with rotating shifts can interfere with the circadian rhythms of nurses and thereby affect their sleep duration, sleep quality, work efficiency, and work performance. The objectives of this study was to investigate differences in workday sleep fragmentation, rest-activity cycle, sleep quality, and activity level among nurses working different shifts. After filling out a basic information questionnaire and completing the Pittsburgh Sleep Quality Index (PSQI) questionnaire, participants were asked to wear an actigraph and keep sleep records for seven consecutive days. Data pertaining to wake after sleep onset (WASO), 24-hour autocorrelation coefficient (r24), and daytime activity mean was collected in order to investigate workday sleep fragmentation, rest-activity cycle, and daytime activity level. We obtained complete questionnaires and data from 191 nurses. Day- and evening-shift nurses had more regular workday rest-activity cycles than did night-shift nurses (F = 51.26, p < .001). After controlling for r24 coefficients, we determined that nurses who experienced greater workday sleep fragmentation had higher PSQI scores (ß = .18, p = .008). After controlling for WASO times, we determined that nurses who had more regular rest-activity cycles on workdays had lower PSQI scores (ß = - .16, p = .036). After controlling for shift type and WASO times, we determined that nurses with higher PSQI scores displayed lower activity levels (ß = - .21, p = .015) and those with higher r24 coefficients displayed higher activity levels (ß = .18, p = .040) on workdays. We then examined the causal path relationships. Among the shifts, only the day-shift nurses had a higher r24 (ß = -.59, p < .001) than did the night-shift nurses; WASO exerted a significant impact on PSQI scores (ß = .20, p = .002); r24 had a significant and negative influence on PSQI scores (ß = -.38, p < .001), and PSQI scores significantly and negatively influenced workday activity levels (ß = -.20, p = .006). This study determined that day- and evening-shift nurses enjoyed more regular and consistent rest-activity cycles than did night-shift nurses; nurses with greater workday sleep fragmentation and/or more irregular rest-activity cycles experienced poorer sleep quality; and nurses suffering from poorer sleep quality displayed lower daytime activity levels on workdays.
Subject(s)
Biological Clocks/physiology , Nurses , Shift Work Schedule , Sleep Wake Disorders/etiology , Actigraphy , Adult , Cross-Sectional Studies , Female , Hospitals, Teaching , Humans , Linear Models , Nurses/standards , Rest , Surveys and Questionnaires , Taiwan , Young AdultABSTRACT
The impact of shift work on sleep and health has been examined in the past, but most studies utilized cross-sectional designs relying on between-subject differences. The purpose this study was to examine the within-subject differences in self-report measures of health and wellness among a group of nurses engaged in rotating shifts. Patient-Reported Outcomes Measurement Information System (PROMIS) measures, collected post-day and post-night shift, were used to assess health, sleep disturbances and sleep-related impairment, fatigue, emotional distress (anger), satisfaction with social roles outside of work, and applied cognitive abilities. Among the sample of 23 White, mostly female (91.3%) nurses, all PROMIS measures were worse indicting lower health and wellness after working night shifts compare to after working day shifts ( p values from .167 to < .001). During both time points of assessment, sleep-related impairment was highly correlated with greater emotional distress, greater fatigue, and worse memory and concentration. Study findings support prior studies that shift work can negatively impact health and wellness.
Subject(s)
Health Status , Nurses/psychology , Shift Work Schedule/adverse effects , Sleep Disorders, Circadian Rhythm/complications , Adult , Cross-Sectional Studies , Fatigue/etiology , Fatigue/psychology , Female , Humans , Intensive Care Units/organization & administration , Male , Nurses/statistics & numerical data , Pennsylvania , Self Report , Shift Work Schedule/psychology , Sleep Disorders, Circadian Rhythm/psychology , Surveys and QuestionnairesABSTRACT
Shift work, especially that involving rotating and night shifts, is associated with an increased risk of diseases, including cancer. Attempts to explain the association between shift work and cancer in particular have focused on the processes of melatonin production and suppression. One hypothesis postulates that exposure to light at night (LAN) suppresses melatonin, whose production is known to slow the development of cancerous cells, while another proposes that circadian disruption associated with shift work, and not just LAN, increases health risks. This review focuses on six studies that employed quantitative measurement of LAN and melatonin levels to assess cancer risks in shift workers. These studies were identified via searching the PubMed database for peer-reviewed, English-language articles examining the links between shift work, LAN, and disease using the terms light at night, circadian disruption, health, risk, cancer, shift work, or rotating shift. While the results indicate a growing consensus on the relationship between disease risks (particularly cancer) and circadian disruption associated with shift work, the establishment of a direct link between LAN and disease has been impeded by contradictory studies and a lack of consistent, quantitative methods for measuring LAN in the research to date. Better protocols for assessing personal LAN exposure are required, particularly those employing calibrated devices that measure and sample exposure to workplace light conditions, to accurately assess LAN's effects on the circadian system and disease. Other methodologies, such as measuring circadian disruption and melatonin levels in the field, may also help to resolve discrepancies in the findings.
Subject(s)
Circadian Rhythm/physiology , Light , Melatonin/analysis , Melatonin/biosynthesis , Neoplasms/etiology , Work Schedule Tolerance/physiology , Adult , Female , Humans , Male , Middle Aged , Photoperiod , Sleep Disorders, Circadian RhythmABSTRACT
AIM: The aim of this study is to investigate premorbid sleep reactivity as a vulnerability to incident shift work disorder (SWD), and related changes in depression as well as anxiety following a transition to a rotating shifts work schedule. METHODS: This is a longitudinal study with two waves of data collection. The community-based sample included normal sleeping non-shift workers (N = 96; 62.5% female; 47.9 ± 13.3 years) without a lifetime history of insomnia or baseline excessive daytime sleepiness who transitioned to rotating shift work one year later. Participants reported demographic characteristics, trait sleep reactivity on the Ford Insomnia Response to Stress Test, depression symptoms on the Quick Inventory of Depression Symptomatology, and anxiety symptoms on the Beck Anxiety Inventory. SWD was determined based on significant sleep disturbance and/or excessive sleepiness in the context of working in a rotating-shift schedule. RESULTS: Analyses revealed that the odds were over five times greater for highly sleep-reactive individuals to develop SWD after transitioning to rotating shifts (OR = 5.59, p = 0.04). Nearly 90% of participants who suffered from SWD were accurately identified as high risk at one year before disease onset. Furthermore, individuals who developed SWD reported greater increases in symptoms of depression and anxiety. Finally, analyses revealed significant indirect effects wherein high sleep reactivity increased risk for SWD, which led to greater severity of anxiety and depression symptoms. CONCLUSIONS: The Ford Insomnia Response to Stress Test (FIRST) accurately identifies a focused target population in which the premorbid psychobiological processes complicit in SWD onset and progression, as well as shift work-related depression and anxiety changes, can be better investigated, thus improving future preventative efforts.
Subject(s)
Anxiety/etiology , Depression/psychology , Sleep Disorders, Circadian Rhythm/psychology , Sleep/physiology , Work Schedule Tolerance/physiology , Adult , Female , Humans , Longitudinal Studies , Male , Middle Aged , Psychiatric Status Rating Scales , Surveys and Questionnaires , Work Schedule Tolerance/psychologyABSTRACT
BACKGROUND: Shift workers are at greater risk than day workers with respect to psychological and physical health, yet little research has linked shift work to increased sickness absence. AIMS: To investigate the relationship between shift work and sickness absence while controlling for organizational and individual characteristics and shift work attributes that have confounded previous research. METHODS: The study used archive data collected from three national surveys in Canada, each involving over 20000 employees and 6000 private-sector firms in 14 different occupational groups. The employees reported the number of paid sickness absence days in the past 12 months. Data were analysed using both chi-squared statistics and hierarchical regressions. RESULTS: Contrary to previous research, shift workers took less paid sickness absence than day workers. There were no differences in the length of the sickness absence between both groups or in sickness absence taken by female and male workers whether working days or shifts. Only job tenure, the presence of a union in the workplace and working rotating shifts predicted sickness absence in shift workers. The results were consistent across all three samples. CONCLUSIONS: In general, shift work does not seem to be linked to increased sickness absence. However, such associations may be true for specific industries. Male and female workers did not differ in the amount of sickness absence taken. Rotating shifts, regardless of industry, predicted sickness absence among shift workers. Consideration should be given to implementing scheduled time off between shift changes.