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Factors affecting the evolution of Chinese elderly depression: a cross-sectional study

BACKGROUND: In the past decades, China’s rapid economic growth has been accompanied by rapid changes in lifestyle and an increasing prevalence of mental disorders. This study explored the changes and factors associated with depression among the elderly population of China from 2011 to 2018. METHOD:...

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Autores principales: Cui, Longyan, Ding, Ding, Chen, Junfeng, Wang, Minghui, He, Fanrong, Yu, Shiyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822727/
https://www.ncbi.nlm.nih.gov/pubmed/35135473
http://dx.doi.org/10.1186/s12877-021-02675-z
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author Cui, Longyan
Ding, Ding
Chen, Junfeng
Wang, Minghui
He, Fanrong
Yu, Shiyang
author_facet Cui, Longyan
Ding, Ding
Chen, Junfeng
Wang, Minghui
He, Fanrong
Yu, Shiyang
author_sort Cui, Longyan
collection PubMed
description BACKGROUND: In the past decades, China’s rapid economic growth has been accompanied by rapid changes in lifestyle and an increasing prevalence of mental disorders. This study explored the changes and factors associated with depression among the elderly population of China from 2011 to 2018. METHOD: Data were obtained from the China Health and Retirement Longitudinal Study. The total sample size consists of 21,484 individuals aged ≥60 years, and the sample sizes in 2011, 2013, 2015 and 2018 were 5081, 4853, 5207, 6343, respectively. Depressive symptoms were measured by the 10-item Short-Form developed by the Center for Epidemiological Studies Depression. RESULT: We found that the tendency in depression rate of the Chinese elderly from 2011 (36.8%) to 2018 (44.5%). The results showed poor health (OR = 3.553), ADL damage (OR = 2.010), multiple chronic diseases (OR = 1.287), and western (OR = 1.777) are risk factors for depression. CONCLUSION: The rate of depression of the elderly people in China has risen dramatically. Therefore, additional steps to prevent, treat and care for the affected population are needed, Mental health prevention and treatment strategies should be incorporated into China’s public health policies in a timely manner to mitigate the serious economic burden caused by the increase of depression.
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spelling pubmed-88227272022-02-08 Factors affecting the evolution of Chinese elderly depression: a cross-sectional study Cui, Longyan Ding, Ding Chen, Junfeng Wang, Minghui He, Fanrong Yu, Shiyang BMC Geriatr Research BACKGROUND: In the past decades, China’s rapid economic growth has been accompanied by rapid changes in lifestyle and an increasing prevalence of mental disorders. This study explored the changes and factors associated with depression among the elderly population of China from 2011 to 2018. METHOD: Data were obtained from the China Health and Retirement Longitudinal Study. The total sample size consists of 21,484 individuals aged ≥60 years, and the sample sizes in 2011, 2013, 2015 and 2018 were 5081, 4853, 5207, 6343, respectively. Depressive symptoms were measured by the 10-item Short-Form developed by the Center for Epidemiological Studies Depression. RESULT: We found that the tendency in depression rate of the Chinese elderly from 2011 (36.8%) to 2018 (44.5%). The results showed poor health (OR = 3.553), ADL damage (OR = 2.010), multiple chronic diseases (OR = 1.287), and western (OR = 1.777) are risk factors for depression. CONCLUSION: The rate of depression of the elderly people in China has risen dramatically. Therefore, additional steps to prevent, treat and care for the affected population are needed, Mental health prevention and treatment strategies should be incorporated into China’s public health policies in a timely manner to mitigate the serious economic burden caused by the increase of depression. BioMed Central 2022-02-08 /pmc/articles/PMC8822727/ /pubmed/35135473 http://dx.doi.org/10.1186/s12877-021-02675-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Cui, Longyan
Ding, Ding
Chen, Junfeng
Wang, Minghui
He, Fanrong
Yu, Shiyang
Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title_full Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title_fullStr Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title_full_unstemmed Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title_short Factors affecting the evolution of Chinese elderly depression: a cross-sectional study
title_sort factors affecting the evolution of chinese elderly depression: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822727/
https://www.ncbi.nlm.nih.gov/pubmed/35135473
http://dx.doi.org/10.1186/s12877-021-02675-z
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