Cargando…

Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data

This study aimed to investigate the prevalence of insomnia in various industries and the associated demographic factors. We searched the nationwide night-shift Workers’ Specific Health Examination (nsWSHE) data extracted in 2015 information on factors associated with insomnia, including sex, age, an...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Jihye, Hong, Yeonpyo, Lee, Weonyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297018/
https://www.ncbi.nlm.nih.gov/pubmed/34199074
http://dx.doi.org/10.3390/ijerph18136902
_version_ 1783725761142718464
author Lee, Jihye
Hong, Yeonpyo
Lee, Weonyoung
author_facet Lee, Jihye
Hong, Yeonpyo
Lee, Weonyoung
author_sort Lee, Jihye
collection PubMed
description This study aimed to investigate the prevalence of insomnia in various industries and the associated demographic factors. We searched the nationwide night-shift Workers’ Specific Health Examination (nsWSHE) data extracted in 2015 information on factors associated with insomnia, including sex, age, and the number of workers in the workplace. The prevalence of moderate insomnia in the total industry was 4.6%. Industries with a high prevalence of insomnia included the arts, sports, and recreation-related services industry, followed by the activities of household as employers industry, financial and insurance activities industry, human health and social welfare industry, and accommodation and food services activities industry. The prevalence of insomnia was higher in women. Age was a significant factor. In general, insomnia was highest among those aged ≥60 years. Insomnia was highest in small-sized companies with fewer than five employees compared to large enterprises with more than 1000 employees. This study is the first to analyze the prevalence of insomnia among night-shift workers who participated in the WSHEs. The findings of this study can be used to prioritize intervention policies for insomnia among night-shift workers.
format Online
Article
Text
id pubmed-8297018
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82970182021-07-23 Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data Lee, Jihye Hong, Yeonpyo Lee, Weonyoung Int J Environ Res Public Health Article This study aimed to investigate the prevalence of insomnia in various industries and the associated demographic factors. We searched the nationwide night-shift Workers’ Specific Health Examination (nsWSHE) data extracted in 2015 information on factors associated with insomnia, including sex, age, and the number of workers in the workplace. The prevalence of moderate insomnia in the total industry was 4.6%. Industries with a high prevalence of insomnia included the arts, sports, and recreation-related services industry, followed by the activities of household as employers industry, financial and insurance activities industry, human health and social welfare industry, and accommodation and food services activities industry. The prevalence of insomnia was higher in women. Age was a significant factor. In general, insomnia was highest among those aged ≥60 years. Insomnia was highest in small-sized companies with fewer than five employees compared to large enterprises with more than 1000 employees. This study is the first to analyze the prevalence of insomnia among night-shift workers who participated in the WSHEs. The findings of this study can be used to prioritize intervention policies for insomnia among night-shift workers. MDPI 2021-06-27 /pmc/articles/PMC8297018/ /pubmed/34199074 http://dx.doi.org/10.3390/ijerph18136902 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Jihye
Hong, Yeonpyo
Lee, Weonyoung
Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title_full Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title_fullStr Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title_full_unstemmed Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title_short Prevalence of Insomnia in Various Industries and Associated Demographic Factors in Night-Shift Workers Using Workers’ Specific Health Examination Data
title_sort prevalence of insomnia in various industries and associated demographic factors in night-shift workers using workers’ specific health examination data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8297018/
https://www.ncbi.nlm.nih.gov/pubmed/34199074
http://dx.doi.org/10.3390/ijerph18136902
work_keys_str_mv AT leejihye prevalenceofinsomniainvariousindustriesandassociateddemographicfactorsinnightshiftworkersusingworkersspecifichealthexaminationdata
AT hongyeonpyo prevalenceofinsomniainvariousindustriesandassociateddemographicfactorsinnightshiftworkersusingworkersspecifichealthexaminationdata
AT leeweonyoung prevalenceofinsomniainvariousindustriesandassociateddemographicfactorsinnightshiftworkersusingworkersspecifichealthexaminationdata