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Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies
Objective: Insomnia is a major health challenge in the general population, but the results of the gender differences in the epidemiology of insomnia have been mixed. This is a meta-analysis to examine the gender difference in the prevalence of insomnia among the general population. Methods:Two revie...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714764/ https://www.ncbi.nlm.nih.gov/pubmed/33329116 http://dx.doi.org/10.3389/fpsyt.2020.577429 |
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author | Zeng, Liang-Nan Zong, Qian-Qian Yang, Yuan Zhang, Ling Xiang, Yi-Fan Ng, Chee H. Chen, Li-Gang Xiang, Yu-Tao |
author_facet | Zeng, Liang-Nan Zong, Qian-Qian Yang, Yuan Zhang, Ling Xiang, Yi-Fan Ng, Chee H. Chen, Li-Gang Xiang, Yu-Tao |
author_sort | Zeng, Liang-Nan |
collection | PubMed |
description | Objective: Insomnia is a major health challenge in the general population, but the results of the gender differences in the epidemiology of insomnia have been mixed. This is a meta-analysis to examine the gender difference in the prevalence of insomnia among the general population. Methods:Two reviewers independently searched relevant publications in PubMed, EMBASE, PsycINFO, Web of Science from their inception to 16 April 2019. Studies that reported the gender-based prevalence of insomnia according to the international diagnostic criteria were included for analyses using the random-effects model. Results:Eventually 13 articles were included in the meta-analysis. The pooled prevalence of insomnia in the general population was 22.0% [n = 22,980, 95% confidence interval (CI): 17.0–28.0%], and females had a significantly higher prevalence of insomnia compared with males (OR = 1.58, 95% CI: 1.35, 1.85, Z = 5.63, p < 0.0001). Subgroup analyses showed that greater gender difference was associated with the use of case-control study design and consecutive sampling method. Meta-regression analyses also revealed that higher proportion of females and better study quality were significantly associated with greater gender difference. Conclusions:This meta-analysis found that the prevalence of insomnia in females was significantly higher than males in the included studies. Due to the negative effects of insomnia on health, regular screening, and effective interventions should be implemented in the general population particularly for females. |
format | Online Article Text |
id | pubmed-7714764 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77147642020-12-15 Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies Zeng, Liang-Nan Zong, Qian-Qian Yang, Yuan Zhang, Ling Xiang, Yi-Fan Ng, Chee H. Chen, Li-Gang Xiang, Yu-Tao Front Psychiatry Psychiatry Objective: Insomnia is a major health challenge in the general population, but the results of the gender differences in the epidemiology of insomnia have been mixed. This is a meta-analysis to examine the gender difference in the prevalence of insomnia among the general population. Methods:Two reviewers independently searched relevant publications in PubMed, EMBASE, PsycINFO, Web of Science from their inception to 16 April 2019. Studies that reported the gender-based prevalence of insomnia according to the international diagnostic criteria were included for analyses using the random-effects model. Results:Eventually 13 articles were included in the meta-analysis. The pooled prevalence of insomnia in the general population was 22.0% [n = 22,980, 95% confidence interval (CI): 17.0–28.0%], and females had a significantly higher prevalence of insomnia compared with males (OR = 1.58, 95% CI: 1.35, 1.85, Z = 5.63, p < 0.0001). Subgroup analyses showed that greater gender difference was associated with the use of case-control study design and consecutive sampling method. Meta-regression analyses also revealed that higher proportion of females and better study quality were significantly associated with greater gender difference. Conclusions:This meta-analysis found that the prevalence of insomnia in females was significantly higher than males in the included studies. Due to the negative effects of insomnia on health, regular screening, and effective interventions should be implemented in the general population particularly for females. Frontiers Media S.A. 2020-11-20 /pmc/articles/PMC7714764/ /pubmed/33329116 http://dx.doi.org/10.3389/fpsyt.2020.577429 Text en Copyright © 2020 Zeng, Zong, Yang, Zhang, Xiang, Ng, Chen and Xiang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Zeng, Liang-Nan Zong, Qian-Qian Yang, Yuan Zhang, Ling Xiang, Yi-Fan Ng, Chee H. Chen, Li-Gang Xiang, Yu-Tao Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title | Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title_full | Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title_fullStr | Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title_full_unstemmed | Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title_short | Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies |
title_sort | gender difference in the prevalence of insomnia: a meta-analysis of observational studies |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714764/ https://www.ncbi.nlm.nih.gov/pubmed/33329116 http://dx.doi.org/10.3389/fpsyt.2020.577429 |
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