Shift-work sleep disorder among health care workers at public hospitals, the case of Sidama national regional state, Ethiopia: A multicenter cross-sectional study

Shift-work disrupts circadian rhythm, resulting in disturbed sleep time and excessive sleepiness during the work shift. Little is known about shift-work sleep disorder among health care workers in Ethiopia. This study examined the magnitude and associated factors of shift-work sleep disorder among h...

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Bibliographic Details
Published in:PloS one 2022-07, Vol.17 (7), p.e0270480-e0270480
Main Authors: Adane, Adugnaw, Getnet, Mihret, Belete, Mekonnen, Yeshaw, Yigizie, Dagnew, Baye
Format: Article
Language:English
Subjects:
Alcohol use
Analysis
Biology and Life Sciences
Cigarette smoking
Circadian rhythm
Circadian rhythms
Cross-sectional studies
Data collection
Diagnosis
Distribution
Drinking behavior
Forecasts and trends
Health aspects
Health care
Hospitals
Hospitals, Public
Influence
Insomnia
Medical personnel
Medicine and Health Sciences
Night shifts
Nurses
Occupational health and safety
Officials and employees
People and Places
Population
Professional ethics
Questionnaires
Random sampling
Sample size
Sampling techniques
Shift work
Sleep and wakefulness
Sleep deprivation
Sleep disorders
Sleepiness
Social Sciences
Sociodemographics
Statistical analysis
Statistical sampling
Statistics
Substance use
Variables
Workers
Working hours
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Summary:Shift-work disrupts circadian rhythm, resulting in disturbed sleep time and excessive sleepiness during the work shift. Little is known about shift-work sleep disorder among health care workers in Ethiopia. This study examined the magnitude and associated factors of shift-work sleep disorder among health care workers in Public Hospitals in Sidama National Regional State, Southern Ethiopia. An institution-based cross-sectional study was carried out on 398 health care workers selected using a systematic random sampling technique. A self-administered structured questionnaire consisting of insomnia, sleepiness scales and international classification of sleep disorder criteria items was employed. Epi data version 4.6 and Stata 14 were used for data entry and statistical analysis respectively. Binary logistic regression was fitted to determine associated factors and decision for the statistical significance was made at p
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0270480