Daytime naps and depression risk: A meta-analysis of observational studies

BackgroundThe relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression.MethodsThe PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases...

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Main Authors: Liqing Li, Qi Zhang, Liyong Zhu, Guohua Zeng, Hongwei Huang, Jian Zhuge, Xiaorui Kuang, Sule Yang, Di Yang, Zhensheng Chen, Yong Gan, Zuxun Lu, Chunmei Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1051128/full
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author Liqing Li
Liqing Li
Qi Zhang
Liyong Zhu
Guohua Zeng
Hongwei Huang
Jian Zhuge
Xiaorui Kuang
Sule Yang
Di Yang
Zhensheng Chen
Yong Gan
Zuxun Lu
Chunmei Wu
author_facet Liqing Li
Liqing Li
Qi Zhang
Liyong Zhu
Guohua Zeng
Hongwei Huang
Jian Zhuge
Xiaorui Kuang
Sule Yang
Di Yang
Zhensheng Chen
Yong Gan
Zuxun Lu
Chunmei Wu
author_sort Liqing Li
collection DOAJ
description BackgroundThe relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression.MethodsThe PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size.ResultsNine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I2 = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias.ConclusionThis meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression.
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spelling doaj.art-67471eeabab345ae98806a8ffbf5b45d2022-12-22T03:53:58ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-12-011310.3389/fpsyg.2022.10511281051128Daytime naps and depression risk: A meta-analysis of observational studiesLiqing Li0Liqing Li1Qi Zhang2Liyong Zhu3Guohua Zeng4Hongwei Huang5Jian Zhuge6Xiaorui Kuang7Sule Yang8Di Yang9Zhensheng Chen10Yong Gan11Zuxun Lu12Chunmei Wu13Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaSchool of Economics and Management, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, ChinaDepartment of Health Management Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, ChinaResearch Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, ChinaSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, ChinaBackgroundThe relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression.MethodsThe PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size.ResultsNine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01–1.31) with a significant heterogeneity (I2 = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias.ConclusionThis meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1051128/fulldaytime napdepressionmeta-analysispsychiatrymental health
spellingShingle Liqing Li
Liqing Li
Qi Zhang
Liyong Zhu
Guohua Zeng
Hongwei Huang
Jian Zhuge
Xiaorui Kuang
Sule Yang
Di Yang
Zhensheng Chen
Yong Gan
Zuxun Lu
Chunmei Wu
Daytime naps and depression risk: A meta-analysis of observational studies
Frontiers in Psychology
daytime nap
depression
meta-analysis
psychiatry
mental health
title Daytime naps and depression risk: A meta-analysis of observational studies
title_full Daytime naps and depression risk: A meta-analysis of observational studies
title_fullStr Daytime naps and depression risk: A meta-analysis of observational studies
title_full_unstemmed Daytime naps and depression risk: A meta-analysis of observational studies
title_short Daytime naps and depression risk: A meta-analysis of observational studies
title_sort daytime naps and depression risk a meta analysis of observational studies
topic daytime nap
depression
meta-analysis
psychiatry
mental health
url https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1051128/full
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