Dataset Information

Professional quality of life, sleep disturbance and health among nurses: A mediation analysis.

ABSTRACT:

Aims

This study aimed to examine sleep disturbance as a mediator of the relationship between professional quality of life (compassion satisfaction, burnout, secondary traumatic stress) and health (physical and mental health) in nurses.

Design

Descriptive, cross-sectional study.

Methods

Three hundred eighteen Registered Nurses completed a web-based survey at the National Institutes of Health Clinical Center in the United States. Mediation analyses were conducted to test hypothesized relationships.

Results

Nurses with higher levels of compassion satisfaction reported lower levels of sleep disturbance and better physical/mental health. Burnout and secondary traumatic stress were negatively associated with physical/mental health and positively associated with sleep disturbance. Sleep disturbance fully or partially mediated the relationships between professional quality of life and physical/mental health among nurses.

SUBMITTER: Lee LJ

PROVIDER: S-EPMC9584477 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Professional quality of life, sleep disturbance and health among nurses: A mediation analysis.

Lee Lena J LJ Wehrlen Leslie L Ding Ya Y Ross Alyson A

Nursing open 20210722 6

<h4>Aims</h4>This study aimed to examine sleep disturbance as a mediator of the relationship between professional quality of life (compassion satisfaction, burnout, secondary traumatic stress) and health (physical and mental health) in nurses.<h4>Design</h4>Descriptive, cross-sectional study.<h4>Methods</h4>Three hundred eighteen Registered Nurses completed a web-based survey at the National Institutes of Health Clinical Center in the United States. Mediation analyses were conducted to test hypo ...[more]

PMID: 34291597

Similar Datasets

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

Professional quality of life, sleep disturbance and health among nurses: A mediation analysis.

Aims

Design

Methods

Results

Publications

Professional quality of life, sleep disturbance and health among nurses: A mediation analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets