Changes in Fatigue Levels and Sleep Measures of Hospital Nurses During Two 12-Hour Work Shifts

Relationship between shift type and sleep quality in rotating-shift nurses with chronotype as a moderator variable

BACKGROUND

Rotating-shift nurses are susceptible to sleep disorders due to numerous factors, such as their biological clock, emotions, and age. At present, a lack of research exists on whether chronotype and shift type jointly influence the sleep quality of nurses.

AIM

To verify whether chronotype is a moderator variable of the relationship between shift type and sleep quality in nurses in order to provide empirical evidence for future mental and physical health improvement.

METHOD

Clinical rotating-shift nurses at a medical center in northern Taiwan were recruited as participants between November 1, 2023, and December 13, 2023. All of the nurses were working a monthly rotating shift schedule. Hierarchical multiple regression analysis was employed to investigate whether the influence of shift type on sleep quality in nurses varied with chronotype. The STROBE checklist was used for reporting this study.

RESULTS

The participants were 255 rotating-shift nurses in this study. Hierarchical multiple regression results revealed that rotating-shift nurses who were older (B = 0.19, p = 0.029), had greater physical fatigue (B = 0.27, p = 0.016), and had more negative emotions (B = 0.17, p = 0.011) suffered from poorer sleep quality. After controlling the above factors, we further found that chronotype indeed had moderating effects on the influence of shift type on sleep quality (B = -1.83, p = 0.049).

CONCLUSIONS

This study demonstrates that early- and intermediate-type nurses are more suitable for working the day and evening shifts, whereas late-type nurses are more suitable for working the night shift.

IMPLICATION FOR NURSING AND HEALTH POLICY

Coordinating chronotype with shift type will ensure that shift schedules better match the biological clocks of nurses; such individual considerations could help to improve their sleep quality.

Consecutive Shifts: A Repeated Measure Study to Evaluate Stress, Biomarkers, Social Support, and Fatigue in Medical/Surgical Nurses

Nurses report that they are required to work during their scheduled breaks and generally experience extended work times and heavy workloads due to staffing shortages. This study aimed to examine changes in personal, work-related, and overall stress, as well as biological responses and fatigue experienced by nurses during three consecutive 12 h workdays (i.e., the typical "three-twelves" schedule). We also considered the moderating effects of social resources. This prospective study of 81 medical/surgical nurses who completed questionnaires and provided saliva samples at four designated intervals (i.e., pre-shift and post-shift on workdays 1 and 3). Fatigue reported by night shift nurses increased significantly over three consecutive workdays (p = 0.001). Day shift nurses said they encountered more social support than those on the night shift (p = 0.05). Social support moderated the relationship between work-related stress at baseline and reported fatigue on day 3.

Non-Invasive Physiological Monitoring for Physical Exertion and Fatigue Assessment in Military Personnel: A Systematic Review

During operational activities, military personnel face extremely demanding circumstances, which when combined lead to severe fatigue, influencing both their well-being and performance. Physical exertion is the main condition leading to fatigue, and its continuous tracking would help prevent its effects. This review aimed to investigate the up-to-date progress on non-invasive physiological monitoring to evaluate situations of physical exertion as a pre-condition to fatigue in military populations, and determine the potential associations between physiological responses and fatigue, which can later result in decision-making indicators to prevent health-related consequences. Adhering to the PRISMA Statement, four databases (Scopus, Science Direct, Web of Science and PubMed) were used for a literature search based on combinations of keywords. The eligibility criteria focused on studies monitoring physiological variables through non-invasive objective measurements, with these measurements being developed in military field, combat, or training conditions. The review process led to the inclusion of 20 studies. The findings established the importance of multivariable assessments in a real-life context to accurately characterise the effects of military practices. A tendency for examining heart rate variables, thermal responses, and actigraphy measurements was also identified. The objectives and experimental protocols were diverse, but the effectiveness of non-invasive measurements in identifying the most fatigue-inducing periods was demonstrated. Nevertheless, no assessment system for standardised application was presented. Future work may include the development of assessment methods to translate physiological recordings into actionable information in real-time and mitigate the effects of fatigue on soldiers’ performance accurately.

Using a short questionnaire of the perimenopausal fatigue scale to evaluate perimenopausal women prone to fatigue syndrome

OBJECTIVE

Fatigue, a painful and unpleasant subjective experience, is common in perimenopausal women. Therefore, an effective tool to evaluate the fatigue-precipitating factor is important for perimenopausal women prone to fatigue syndrome.

MATERIALS AND METHODS

This study was surveyed by short-term perimenopausal fatigue scale. The enrollment period was from November 2019 to January 2020. The subjects were perimenopausal women prone to perimenopausal fatigue. The differences between the fatigue-precipitating factors and the degrees of fatigue and disturbance were determined by one-way ANOVA and t test.

RESULTS

A total of 220 perimenopausal women with mean age of 51.3 years were included. Among these, 64.1% did not have a habit of regular exercise and 55.5% had chronic diseases. Fatigue syndrome was found in 64.1% of subjects, who were mainly presented by shoulder and neck pain and sleep problems. There were significant differences between "perimenopausal fatigue" and "duration" (p < 0.001); "with and without regular exercise" (p = 0.05); and "with and without chronic diseases" (p = 0.03).

CONCLUSIONS

Our study showed the perimenopausal fatigue syndrome is more frequently found in perimenopausal women who have a co-morbidity (chronic illness) and do not have a habit of regular exercise. An early identification and prompt intervention may help perimenopausal women to deal with their fatigue syndrome. The short questionnaire perimenopausal fatigue scale seems to be useful for screening perimenopausal women prone to fatigue syndrome.