Javascript must be enabled to continue!
Determinants of sleep quality and their impact on health outcomes: a cross-sectional study on night-shift nurses
View through CrossRef
PurposeThis study aimed to identify determinants of sleep quality and explore their adverse health outcomes among night-shift nurses in China.MethodThrough convenience sampling, this cross-sectional study enrolled a total of 711 night-shift nurses aged 20-55 years who completed questionnaires from which details regarding their sociodemographic characteristics, health-related indicators and sleep quality based on the Pittsburgh Sleep Quality Index (PSQI) were extracted. A generalized linear regression analysis was then created to identify factors influencing sleep quality. Pearson correlation analysis was used to analyze the relationship between sleep quality and chronic fatigue.ResultsThe prevalence rate of poor sleep quality among night-shift nurses reached as high as 90.1%. Our results showed that education level, years of working experience, quality of make-up sleep before and after night shifts, daily routine and diet were the primary factors affecting sleep quality (p < 0.01). Nurse fatigue had a significant positive correlation with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, medications to sleep, daytime dysfunctions and global sleep quality (p < 0.01). However, nurse sleep efficiency had a significant negative correlation with fatigue (p < 0.01).ConclusionsHigher education level, longer working years, worse quality of make-up sleep before and after night shifts, daily routine and daily diet were risk factors for poor sleep quality among nurses. Poor sleep among night-shift nurses is strongly correlated with chronic fatigue.
Title: Determinants of sleep quality and their impact on health outcomes: a cross-sectional study on night-shift nurses
Description:
PurposeThis study aimed to identify determinants of sleep quality and explore their adverse health outcomes among night-shift nurses in China.
MethodThrough convenience sampling, this cross-sectional study enrolled a total of 711 night-shift nurses aged 20-55 years who completed questionnaires from which details regarding their sociodemographic characteristics, health-related indicators and sleep quality based on the Pittsburgh Sleep Quality Index (PSQI) were extracted.
A generalized linear regression analysis was then created to identify factors influencing sleep quality.
Pearson correlation analysis was used to analyze the relationship between sleep quality and chronic fatigue.
ResultsThe prevalence rate of poor sleep quality among night-shift nurses reached as high as 90.
1%.
Our results showed that education level, years of working experience, quality of make-up sleep before and after night shifts, daily routine and diet were the primary factors affecting sleep quality (p < 0.
01).
Nurse fatigue had a significant positive correlation with subjective sleep quality, sleep latency, sleep duration, sleep disturbance, medications to sleep, daytime dysfunctions and global sleep quality (p < 0.
01).
However, nurse sleep efficiency had a significant negative correlation with fatigue (p < 0.
01).
ConclusionsHigher education level, longer working years, worse quality of make-up sleep before and after night shifts, daily routine and daily diet were risk factors for poor sleep quality among nurses.
Poor sleep among night-shift nurses is strongly correlated with chronic fatigue.
Related Results
0181 Stressor Reactivity to Insufficient Sleep in Oncology Nurses: Does Work Shift Matter?
0181 Stressor Reactivity to Insufficient Sleep in Oncology Nurses: Does Work Shift Matter?
Abstract
Introduction
Individuals generally perceive more stressors on days following nights with shorter-than-usual sleep durat...
Sleep quality and sleep disturbing factors of inpatients in a Chinese general hospital
Sleep quality and sleep disturbing factors of inpatients in a Chinese general hospital
Aims and objective.  This study was undertaken to determine sleep quality and sleep disturbing factors of inpatients and to compare the perception of sleep disturbing factors betwe...
Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT
Nurse-delivered sleep restriction therapy to improve insomnia disorder in primary care: the HABIT RCT
Background
Insomnia is a prevalent and distressing sleep disorder. Multicomponent cognitive–behavioural therapy is the recommended first-line treatment, but access remains extremel...
[RETRACTED] Recharge PM Review v1
[RETRACTED] Recharge PM Review v1
[RETRACTED]Recharge PM: Weight Loss Support Supplement Legit or Scam? Real User Reprot Exposed! Are you fed up with trying to lose weight and spending so much on them? Deep sleep...
Sleep quality, sleep hygiene practices and their influencing factors among Malaysian university students: A cross-sectional study
Sleep quality, sleep hygiene practices and their influencing factors among Malaysian university students: A cross-sectional study
Introduction: Sleep quality refers to the subjective experience of sleep, encompassing aspects such as duration, depth and continuity. In contrast, sleep hygiene practices involve ...
The history of sleep research and sleep medicine in Europe
The history of sleep research and sleep medicine in Europe
SummarySleep became a subject of scientific research in the second half of the 19th century. Since sleep, unlike other physiological functions, cannot be attributed to a specific o...
SLEEP DISTURBANCE AND QUALITY OF SLEEP AMONG PATIENTS WITH CARDIOVASCULAR DISEASES
SLEEP DISTURBANCE AND QUALITY OF SLEEP AMONG PATIENTS WITH CARDIOVASCULAR DISEASES
Objective: This was a descriptive study with the objective to determine the sleep disturbances and the quality of sleep among patients with cardiovascular diseases (CVDs).Methods: ...
SLEEP DISTURBANCE AND QUALITY OF SLEEP AMONG PATIENTS WITH CARDIOVASCULAR DISEASES
SLEEP DISTURBANCE AND QUALITY OF SLEEP AMONG PATIENTS WITH CARDIOVASCULAR DISEASES
Objective: This was a descriptive study with the objective to determine the sleep disturbances and the quality of sleep among patients with cardiovascular diseases (CVDs).Methods: ...

