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Prevalence and factors influencing depression among empty nesters in China: A meta-analysis
BACKGROUND: Empty nesters are older people who live alone or an older couple without children to care for them. In China, empty nesters make up a significant community and are more likely to experience emotional issues, particularly depression. This study investigated the prevalence of depression an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228112/ https://www.ncbi.nlm.nih.gov/pubmed/37254062 http://dx.doi.org/10.1186/s12877-023-04064-0 |
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author | Song, Caini Yao, Libo Chen, Huisu Song, Ying Liu, Lihua |
author_facet | Song, Caini Yao, Libo Chen, Huisu Song, Ying Liu, Lihua |
author_sort | Song, Caini |
collection | PubMed |
description | BACKGROUND: Empty nesters are older people who live alone or an older couple without children to care for them. In China, empty nesters make up a significant community and are more likely to experience emotional issues, particularly depression. This study investigated the prevalence of depression and the factors influencing depression among Chinese home-bound empty nesters using meta-analysis. METHODS: Based on previous studies, we used search terms relating to empty nesters and depression in English and Chinese. Databases, including China Journal Full Text Database (CNKI), Wanfang, Wipu, China Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, The Cochrane Library, and UptoDate, were searched in April 2022, for relevant articles. Details including names of authors, year of publication, region of investigation, study type, sample size, depression detection scale, depression detection rate, and influencing factors were captured. The heterogeneity of the studies was assessed based on the I(2) index, and data analysis was performed using Stata 16.0 software. RESULTS: A total of ten research articles involving 5337 Chinese empty nesters were evaluated in the present meta-analysis. The overall prevalence of depression among empty nesters in China was 43%. The prevalence of depression among urban empty nesters was 38% (95% CI: 0.24,0.52), and 36% (95% CI: 0.18,0.55) among rural empty nesters. Many factors, including female, income, marital status, chronic illness, relationship with children, and social support were linked to depression among urban empty nesters. CONCLUSION: The prevalence of depression among empty nesters was 43%. Therefore, based on the factors influencing depression, government departments can intervene early to improve the mental health of empty nesters. LIMITATIONS: The meta-analysis only included cross-sectional studies. Therefore, there is a need for more future original studies investigating depression among empty nesters in China. |
format | Online Article Text |
id | pubmed-10228112 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102281122023-05-31 Prevalence and factors influencing depression among empty nesters in China: A meta-analysis Song, Caini Yao, Libo Chen, Huisu Song, Ying Liu, Lihua BMC Geriatr Research BACKGROUND: Empty nesters are older people who live alone or an older couple without children to care for them. In China, empty nesters make up a significant community and are more likely to experience emotional issues, particularly depression. This study investigated the prevalence of depression and the factors influencing depression among Chinese home-bound empty nesters using meta-analysis. METHODS: Based on previous studies, we used search terms relating to empty nesters and depression in English and Chinese. Databases, including China Journal Full Text Database (CNKI), Wanfang, Wipu, China Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, The Cochrane Library, and UptoDate, were searched in April 2022, for relevant articles. Details including names of authors, year of publication, region of investigation, study type, sample size, depression detection scale, depression detection rate, and influencing factors were captured. The heterogeneity of the studies was assessed based on the I(2) index, and data analysis was performed using Stata 16.0 software. RESULTS: A total of ten research articles involving 5337 Chinese empty nesters were evaluated in the present meta-analysis. The overall prevalence of depression among empty nesters in China was 43%. The prevalence of depression among urban empty nesters was 38% (95% CI: 0.24,0.52), and 36% (95% CI: 0.18,0.55) among rural empty nesters. Many factors, including female, income, marital status, chronic illness, relationship with children, and social support were linked to depression among urban empty nesters. CONCLUSION: The prevalence of depression among empty nesters was 43%. Therefore, based on the factors influencing depression, government departments can intervene early to improve the mental health of empty nesters. LIMITATIONS: The meta-analysis only included cross-sectional studies. Therefore, there is a need for more future original studies investigating depression among empty nesters in China. BioMed Central 2023-05-30 /pmc/articles/PMC10228112/ /pubmed/37254062 http://dx.doi.org/10.1186/s12877-023-04064-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Song, Caini Yao, Libo Chen, Huisu Song, Ying Liu, Lihua Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title | Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title_full | Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title_fullStr | Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title_full_unstemmed | Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title_short | Prevalence and factors influencing depression among empty nesters in China: A meta-analysis |
title_sort | prevalence and factors influencing depression among empty nesters in china: a meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228112/ https://www.ncbi.nlm.nih.gov/pubmed/37254062 http://dx.doi.org/10.1186/s12877-023-04064-0 |
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