Dataset Information

Sleep disturbance and its association with quality of life among psychiatric nurses in China.

ABSTRACT:

Background

Sleep disturbance is associated with a number of negative adverse outcomes. This study examined the prevalence of sleep disturbance and its association with demographic and clinical characteristics and quality of life (QOL) in psychiatric nurses in China.

Methods

This is a multi-center, cross-sectional study involving 11 psychiatric hospitals in China. Three types of sleep disturbance (difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS) and early-morning awakening (EMA)) and QOL were measured by standardized questions or instruments.

Results

A total of 1,847 psychiatric nurses participated. The overall prevalence of at least one type of sleep disturbance was 71.5% (95% CI [69.3-73.5]); the prevalence of DIS, DMS and EMA was 58.5% (95% CI [56.2-60.8]), 53.7% (95% CI [51.4-56.0]) and 54.6% (95% CI [52.3-56.9]), respectively. Nurses with sleep disturbance had significantly lower QOL in physical (F _{(1, 1,846)} = 219.12, P < 0.001), psychological (F _{(1, 1,846)} = 72.18, P < 0.001), social (F _{(1, 1,846)} = 37.57, P < 0.001) and environmental domains (F _{(1, 1,846)} = 95.45, P < 0.001). Multivariable logistic regression analyses revealed that shift work (DIS, OR = 1.6, 95% CI [1.28-1.98]; DMS, OR = 1.2, 95% CI [1.001-1.54]; EMA, OR = 1.3, 95% CI [1.02-1.58]) and alcohol use (DIS, OR = 1.8, 95% CI [1.46-2.32]; DMS, OR = 1.8, 95% CI [1.43-2.23]; EMA, OR = 1.7, 95% CI [1.33-2.07]) were positively associated with sleep disturbance, while higher monthly income (DIS, OR = 0.5, 95% CI [0.38-0.75]; DMS, OR = 0.7, 95% CI [0.51-0.98]) was negatively associated with sleep disturbance.

Conclusion

Sleep disturbance was common among nurses in psychiatric hospitals in China, particularly those on shifts and having alcohol use. Health authorities should develop effective measures to reduce risk of sleep disturbance in this population.

SUBMITTER: Lu L

PROVIDER: S-EPMC7896499 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Sleep disturbance and its association with quality of life among psychiatric nurses in China.

Lu Li L Lok Ka-In KI Zhang Qinge Q Zhang Ling L Xiang Yifan Y Ungvari Gabor S GS Hall Brian J BJ An Feng-Rong FR Xiang Yu-Tao YT

PeerJ 20210217

<h4>Background</h4>Sleep disturbance is associated with a number of negative adverse outcomes. This study examined the prevalence of sleep disturbance and its association with demographic and clinical characteristics and quality of life (QOL) in psychiatric nurses in China.<h4>Methods</h4>This is a multi-center, cross-sectional study involving 11 psychiatric hospitals in China. Three types of sleep disturbance (difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS) and early-morni ...[more]

PMID: 33643702

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Project description:BackgroundSleep disturbances and poor health-related quality of life (HRQoL) are common in people with rheumatoid arthritis (RA). Sleep disturbances, such as less total sleep time, more waking periods after sleep onset, and higher levels of nonrestorative sleep, may be a driver of HRQoL. However, understanding whether these sleep disturbances reduce HRQoL has, to date, been challenging because of the need to collect complex time-varying data at high resolution. Such data collection is now made possible by the widespread availability and use of mobile health (mHealth) technologies.ObjectiveThis mHealth study aimed to test whether sleep disturbance (both absolute values and variability) causes poor HRQoL.MethodsThe quality of life, sleep, and RA study was a prospective mHealth study of adults with RA. Participants completed a baseline questionnaire, wore a triaxial accelerometer for 30 days to objectively assess sleep, and provided daily reports via a smartphone app that assessed sleep (Consensus Sleep Diary), pain, fatigue, mood, and other symptoms. Participants completed the World Health Organization Quality of Life-Brief (WHOQoL-BREF) questionnaire every 10 days. Multilevel modeling tested the relationship between sleep variables and the WHOQoL-BREF domains (physical, psychological, environmental, and social).ResultsOf the 268 recruited participants, 254 were included in the analysis. Across all WHOQoL-BREF domains, participants' scores were lower than the population average. Consensus Sleep Diary sleep parameters predicted the WHOQoL-BREF domain scores. For example, for each hour increase in the total time asleep physical domain scores increased by 1.11 points (β=1.11, 95% CI 0.07-2.15) and social domain scores increased by 1.65 points. These associations were not explained by sociodemographic and lifestyle factors, disease activity, medication use, anxiety levels, sleep quality, or clinical sleep disorders. However, these changes were attenuated and no longer significant when pain, fatigue, and mood were included in the model. Increased variability in total time asleep was associated with poorer physical and psychological domain scores, independent of all covariates. There was no association between actigraphy-measured sleep and WHOQoL-BREF.ConclusionsOptimizing total sleep time, increasing sleep efficiency, decreasing sleep onset latency, and reducing variability in total sleep time could improve HRQoL in people with RA.

Dataset Information

Sleep disturbance and its association with quality of life among psychiatric nurses in China.

Background

Methods

Results

Conclusion

Publications

Sleep disturbance and its association with quality of life among psychiatric nurses in China.

Similar Datasets

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