No abstract

In this scoping review of the literature, we identified the types and the parameters of objective measurements to assess sleep patterns among night-shift workers. We conducted a literature search using electronic databases for studies published from 1991 to 2020 and charted and summarized key information. We included 32 studies in the review. Polysomnography was used in 6 studies and wearable sleep detection devices were utilized in 26 studies. The duration of sleep assessment using the wearable devices ranged from 1 day to > 4 weeks, and more than half of the studies collected data for > 2 weeks. The majority of the studies used subjective questionnaires, such as the Karolinska Sleepiness Scale, Epworth Sleepiness Scale, and Pittsburgh Sleep Quality Index, in addition to objective sleep measurements. Total sleep time was the most common parameter, followed by sleep efficiency, sleep onset latency, and time or frequency of being awake. As the utilization of wearable devices to assess the sleep patterns of night-shift workers is expected to increase, further evaluation of device accuracy and precision, optimal data collection period, and key parameters is warranted.

Aims and Objectives: This study aimed to investigate sleep patterns of hospital nurses using a wearable electronic device and determine the influence of rotating day and night shifts and lifestyle factors on their sleep efficiency.Background: Nurses working in shifts are vulnerable to sleep disturbances. However, little is known about the influence of rotating day and night shift schedules and healthy lifestyle on nurses' daily sleep patterns. Design: Descriptive correlational design.Methods: Thirty-two hospital nurses working in shifts and 32 hospital nurses not working in shifts participated in data collection. Their sleep patterns were measured for six consecutive days using Fitbit Charge 3 ™ , and information on alcohol consumption, exercise, and eating habits were assessed using a questionnaire. Data were analysed using repeated measures analysis of variance with post hoc Scheffe's test and hierarchical multiple regression analysis. The study was conducted in accordance with the STROBE guideline.Results: Overall, nurses working on rotating day and night shifts had significantly shorter total sleep time, longer sleep onset latency, and lower sleep efficiency than those not working in shifts. In particular, nurses working for 3 or 4 consecutive night shifts had significantly shorter total sleep time, lower sleep efficiency and longer sleep onset latency than those working for 0-2 consecutive night shifts. Rotating day and night shifts and alcohol consumption significantly influenced sleep efficiency. Conclusions:A work schedule of ≥3 consecutive night shifts and the habit of alcohol consumption before bed time influence nurses' sleep efficiency.Relevance to Clinical Practice: Given the poor sleep pattern among nurses working in shifts, particularly those working on ≥2 consecutive night shifts, it is necessary to develop an optimal shift schedule and a program to promote healthy lifestyle among hospital nurses.