Relationship between insomnia and working from home among Korean domestic workers: results from the 5th Korean working condition survey.

Publication date: Jul 17, 2023

Social distancing has been increasingly implemented following the COVID-19 pandemic and more people have been working from home. Consequently, the screen time has increased, which can disrupt the natural sleep-wake cycle and delay sleep onset. Given that studies on the health of employees who work from home remain insufficient, particularly with respect to the risk of sleep disorders including insomnia, this study aimed to assess the relationship between working from home and insomnia among workers using data from the 5th Working Conditions Survey conducted in Korea. Of 30,108 wage workers, we enrolled 818 employees who worked from home and 4,090 employees who worked from the office, a 1:5 pair sample based on sex and occupational group. Personal and occupational characteristics, working from home, and insomnia were included in the analysis. Age, education, employment status, working years, working hours per week, work-life balance, self-perceived health, depression, and anxiety were all adjusted as potential confounding variables. Conditional logistic regression analysis was performed using working from home as an independent variable and insomnia as a dependent variable to determine the correlation between working from home and insomnia. Working from home was associated with sleep onset latency disorder, OR = 3. 23 (95% CI: 2. 67-3. 91), sleep maintenance disorder, OR = 3. 67 (95% CI: 3. 02-4. 45), and non-restorative sleep, OR = 3. 01 (95% CI: 2. 46-3. 67); working from home had a statistically significant relationship with all three types of insomnia. Within the limits of the study, these findings can be used as a fundamental basis for the implementation of policies and guidelines to prevent insomnia in workers who work from home.

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Concepts Keywords
Employees Mental health
Korean Occupational health
Pandemic Sleep disorder
Sleep Social distancing


Type Source Name
disease MESH insomnia
disease MESH COVID-19 pandemic
disease VO time
disease MESH sleep disorders
disease VO age
drug DRUGBANK Isoxaflutole
disease MESH sleep onset latency
pathway REACTOME Reproduction
drug DRUGBANK Coenzyme M
disease MESH obesity
drug DRUGBANK Medical air
disease IDO blood
disease MESH metabolic syndrome
disease VO population
disease MESH circadian rhythm disorders
disease VO efficiency
disease VO protocol
disease VO device
disease VO USA
drug DRUGBANK Dimercaprol
disease VO efficient
pathway KEGG Circadian rhythm
disease MESH loneliness
disease IDO quality
disease VO organization
disease MESH causality
disease MESH lifestyle
drug DRUGBANK Ethanol
disease MESH daytime sleepiness
disease MESH Violence
disease VO organ
disease MESH anxiety disorders
disease MESH sleep quality
drug DRUGBANK Carboxyamidotriazole
disease MESH critical illness

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