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The association between depressive symptoms and fall accidents among middle-aged and elderly people in China
BACKGROUND: Depressive symptoms are a worldwide health problem. However, the research about the effect of depressive symptoms on the fall among the Chinese mid-aged and elderly people is lacking. Therefore, this study aims to investigate the association between depressive symptoms and fall accidents...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123963/ https://www.ncbi.nlm.nih.gov/pubmed/30185143 http://dx.doi.org/10.1186/s12199-018-0735-y |
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author | Ouyang, Peng Sun, Wenjun |
author_facet | Ouyang, Peng Sun, Wenjun |
author_sort | Ouyang, Peng |
collection | PubMed |
description | BACKGROUND: Depressive symptoms are a worldwide health problem. However, the research about the effect of depressive symptoms on the fall among the Chinese mid-aged and elderly people is lacking. Therefore, this study aims to investigate the association between depressive symptoms and fall accidents among middle-aged and elderly people in China. METHODS: This study was conducted based on 12,527 sets of data from China Health and Retirement Longitudinal Survey (CHARLS). The 2011 depressive symptoms data and the 2013 fall data were chosen for this study. The depressive symptom-related data was assessed by the Chinese version of Center for Epidemiologic Studies Depression scales (CES-D). Individuals were divided into subgroups according to gender (male or female), age (45–59, middle-aged or ≥ 60, elderly people), and residence (rural or urban). The odds ratios (ORs) were compared between subgroups using multivariable logistic regression analysis method. RESULTS: The adjusted OR value (OR = 1.19 [95% CI 1.07–1.33]) shows there is a significant association between depressive symptoms and subsequent fall accidents. The ORs of the female, elderly people, rural, and urban subgroups are 1.31 (95% CI 1.11–1.55), 1.24 (95% CI 1.08–1.43), 1.17 (95% CI 1.02–1.33), and 1.25 (95% CI 1.04–1.49), respectively, which reveals that this association is also statistically significant in these subgroups. CONCLUSIONS: This study shows that there is a significant association between depressive symptoms and their subsequent fall accidents among the Chinese middle-aged and elderly people. |
format | Online Article Text |
id | pubmed-6123963 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61239632018-09-10 The association between depressive symptoms and fall accidents among middle-aged and elderly people in China Ouyang, Peng Sun, Wenjun Environ Health Prev Med Research Article BACKGROUND: Depressive symptoms are a worldwide health problem. However, the research about the effect of depressive symptoms on the fall among the Chinese mid-aged and elderly people is lacking. Therefore, this study aims to investigate the association between depressive symptoms and fall accidents among middle-aged and elderly people in China. METHODS: This study was conducted based on 12,527 sets of data from China Health and Retirement Longitudinal Survey (CHARLS). The 2011 depressive symptoms data and the 2013 fall data were chosen for this study. The depressive symptom-related data was assessed by the Chinese version of Center for Epidemiologic Studies Depression scales (CES-D). Individuals were divided into subgroups according to gender (male or female), age (45–59, middle-aged or ≥ 60, elderly people), and residence (rural or urban). The odds ratios (ORs) were compared between subgroups using multivariable logistic regression analysis method. RESULTS: The adjusted OR value (OR = 1.19 [95% CI 1.07–1.33]) shows there is a significant association between depressive symptoms and subsequent fall accidents. The ORs of the female, elderly people, rural, and urban subgroups are 1.31 (95% CI 1.11–1.55), 1.24 (95% CI 1.08–1.43), 1.17 (95% CI 1.02–1.33), and 1.25 (95% CI 1.04–1.49), respectively, which reveals that this association is also statistically significant in these subgroups. CONCLUSIONS: This study shows that there is a significant association between depressive symptoms and their subsequent fall accidents among the Chinese middle-aged and elderly people. BioMed Central 2018-09-05 2018 /pmc/articles/PMC6123963/ /pubmed/30185143 http://dx.doi.org/10.1186/s12199-018-0735-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ouyang, Peng Sun, Wenjun The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title | The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title_full | The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title_fullStr | The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title_full_unstemmed | The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title_short | The association between depressive symptoms and fall accidents among middle-aged and elderly people in China |
title_sort | association between depressive symptoms and fall accidents among middle-aged and elderly people in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6123963/ https://www.ncbi.nlm.nih.gov/pubmed/30185143 http://dx.doi.org/10.1186/s12199-018-0735-y |
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