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Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies

BACKGROUND: Depressive symptoms are common in empty-nest elderly in China, but the reported prevalence rates across studies are mixed. This is a meta-analysis of the pooled prevalence of depressive symptoms (depression hereafter) in empty-nest elderly in China. METHODS: Two investigators independent...

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Autores principales: Zhang, Hong-He, Jiang, Yuan-Yuan, Rao, Wen-Wang, Zhang, Qing-E, Qin, Ming-Zhao, Ng, Chee H., Ungvari, Gabor S., Xiang, Yu-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358371/
https://www.ncbi.nlm.nih.gov/pubmed/32733289
http://dx.doi.org/10.3389/fpsyt.2020.00608
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author Zhang, Hong-He
Jiang, Yuan-Yuan
Rao, Wen-Wang
Zhang, Qing-E
Qin, Ming-Zhao
Ng, Chee H.
Ungvari, Gabor S.
Xiang, Yu-Tao
author_facet Zhang, Hong-He
Jiang, Yuan-Yuan
Rao, Wen-Wang
Zhang, Qing-E
Qin, Ming-Zhao
Ng, Chee H.
Ungvari, Gabor S.
Xiang, Yu-Tao
author_sort Zhang, Hong-He
collection PubMed
description BACKGROUND: Depressive symptoms are common in empty-nest elderly in China, but the reported prevalence rates across studies are mixed. This is a meta-analysis of the pooled prevalence of depressive symptoms (depression hereafter) in empty-nest elderly in China. METHODS: Two investigators independently conducted a systematic literature search in both English (PubMed, EMBASE, PsycINFO, Web of Science, and Cochrane Library) and Chinese (CNKI and Wan Fang) databases. Data were analyzed using the Comprehensive Meta-Analysis program. RESULTS: A total of 46 studies with 36,791 subjects were included. The pooled prevalence of depression was 38.6% (95%CI: 31.5–46.3%). Compared with non-empty-nest elderly, empty-nest elderly were more likely to suffer from depression (OR=2.0, 95%CI: 1.4 to 2.8, P<0.001). Subgroup and meta-regression analyses revealed that mild depression were more common in empty-nest elderly than moderate or severe depression (P<0.001). In addition, living alone (P=0.002), higher male proportion (β=0.04, P<0.001), later year of publication (β=0.09, P<0.001) and higher study quality score (β=0.62, P<0.001) were significantly associated with higher prevalence of depression. CONCLUSION: In this meta-analysis, the prevalence of depression in empty-nest elderly was high in China. Considering the negative impact of depression on health outcomes and well-being, regular screening and appropriate interventions need to be delivered for this vulnerable segment of the population.
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spelling pubmed-73583712020-07-29 Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies Zhang, Hong-He Jiang, Yuan-Yuan Rao, Wen-Wang Zhang, Qing-E Qin, Ming-Zhao Ng, Chee H. Ungvari, Gabor S. Xiang, Yu-Tao Front Psychiatry Psychiatry BACKGROUND: Depressive symptoms are common in empty-nest elderly in China, but the reported prevalence rates across studies are mixed. This is a meta-analysis of the pooled prevalence of depressive symptoms (depression hereafter) in empty-nest elderly in China. METHODS: Two investigators independently conducted a systematic literature search in both English (PubMed, EMBASE, PsycINFO, Web of Science, and Cochrane Library) and Chinese (CNKI and Wan Fang) databases. Data were analyzed using the Comprehensive Meta-Analysis program. RESULTS: A total of 46 studies with 36,791 subjects were included. The pooled prevalence of depression was 38.6% (95%CI: 31.5–46.3%). Compared with non-empty-nest elderly, empty-nest elderly were more likely to suffer from depression (OR=2.0, 95%CI: 1.4 to 2.8, P<0.001). Subgroup and meta-regression analyses revealed that mild depression were more common in empty-nest elderly than moderate or severe depression (P<0.001). In addition, living alone (P=0.002), higher male proportion (β=0.04, P<0.001), later year of publication (β=0.09, P<0.001) and higher study quality score (β=0.62, P<0.001) were significantly associated with higher prevalence of depression. CONCLUSION: In this meta-analysis, the prevalence of depression in empty-nest elderly was high in China. Considering the negative impact of depression on health outcomes and well-being, regular screening and appropriate interventions need to be delivered for this vulnerable segment of the population. Frontiers Media S.A. 2020-07-07 /pmc/articles/PMC7358371/ /pubmed/32733289 http://dx.doi.org/10.3389/fpsyt.2020.00608 Text en Copyright © 2020 Zhang, Jiang, Rao, Zhang, Qin, Ng, Ungvari 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
Zhang, Hong-He
Jiang, Yuan-Yuan
Rao, Wen-Wang
Zhang, Qing-E
Qin, Ming-Zhao
Ng, Chee H.
Ungvari, Gabor S.
Xiang, Yu-Tao
Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title_full Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title_fullStr Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title_full_unstemmed Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title_short Prevalence of Depression Among Empty-Nest Elderly in China: A Meta-Analysis of Observational Studies
title_sort prevalence of depression among empty-nest elderly in china: a meta-analysis of observational studies
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358371/
https://www.ncbi.nlm.nih.gov/pubmed/32733289
http://dx.doi.org/10.3389/fpsyt.2020.00608
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