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Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China

Objectives: This study aimed to identify the independent factors associated with depression in community-dwelling older adults in Wuhan, China. Methods: Four hundred and seventy older adults (aged ≥65 years) from four communities dwelling on Junshan Street in Wuhan, China were included in this study...

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Autores principales: Liu, Aihong, Peng, Yingjie, Zhu, Wenli, Zhang, Yanling, Ge, Shihui, Zhou, Yun, Zhang, Kemeng, Wang, Zhaohui, He, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636125/
https://www.ncbi.nlm.nih.gov/pubmed/34867276
http://dx.doi.org/10.3389/fnagi.2021.743193
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author Liu, Aihong
Peng, Yingjie
Zhu, Wenli
Zhang, Yanling
Ge, Shihui
Zhou, Yun
Zhang, Kemeng
Wang, Zhaohui
He, Ping
author_facet Liu, Aihong
Peng, Yingjie
Zhu, Wenli
Zhang, Yanling
Ge, Shihui
Zhou, Yun
Zhang, Kemeng
Wang, Zhaohui
He, Ping
author_sort Liu, Aihong
collection PubMed
description Objectives: This study aimed to identify the independent factors associated with depression in community-dwelling older adults in Wuhan, China. Methods: Four hundred and seventy older adults (aged ≥65 years) from four communities dwelling on Junshan Street in Wuhan, China were included in this study. Participants completed a questionnaire that asked questions pertaining to age, gender, educational level, income, living situation, care situation, social support, and social engagement. The 30-item Geriatric Depression Scale (GDS-30), the Fried frailty phenotype scale, the activities of daily living (ADL) scale, the mini nutritional assessment scale-short form (MNA-SF), and the Mini-cog scale were used to assess depression, frailty, self-care ability, malnutritional risk, and cognitive dysfunction, respectively. Differences in age, gender, educational level, income, living situation, care situation, social support, social engagement, ADL score, risk of malnutrition, frailty, and cognitive dysfunction between the non-depression (GDS-30 score <10 points) and depression groups (GDS-30 score ≥10 points) were compared using a chi-square test. Moreover, correlations between factors and depression were analyzed using Pearson’s correlation. Then, significant variables (p < 0.05) from the chi-square test were included in a multivariable logistic regression model to identify the independent factors associated with depression. Results: The incidence of depression among the participants was 14.04%. Age (p < 0.001), educational level (p < 0.001), living situation (p < 0.001), social support (p = 0.001), ADL score (p = 0.023), frailty (p < 0.001), and cognitive dysfunction (p < 0.001) were all significantly associated with depression, in which age, poor social support, frailty, and cognitive dysfunction were identified as independent factors. Conclusion: Improving social support and effective interventions for frailty and cognitive dysfunction may help relieve depression in community-dwelling older adults.
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spelling pubmed-86361252021-12-02 Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China Liu, Aihong Peng, Yingjie Zhu, Wenli Zhang, Yanling Ge, Shihui Zhou, Yun Zhang, Kemeng Wang, Zhaohui He, Ping Front Aging Neurosci Neuroscience Objectives: This study aimed to identify the independent factors associated with depression in community-dwelling older adults in Wuhan, China. Methods: Four hundred and seventy older adults (aged ≥65 years) from four communities dwelling on Junshan Street in Wuhan, China were included in this study. Participants completed a questionnaire that asked questions pertaining to age, gender, educational level, income, living situation, care situation, social support, and social engagement. The 30-item Geriatric Depression Scale (GDS-30), the Fried frailty phenotype scale, the activities of daily living (ADL) scale, the mini nutritional assessment scale-short form (MNA-SF), and the Mini-cog scale were used to assess depression, frailty, self-care ability, malnutritional risk, and cognitive dysfunction, respectively. Differences in age, gender, educational level, income, living situation, care situation, social support, social engagement, ADL score, risk of malnutrition, frailty, and cognitive dysfunction between the non-depression (GDS-30 score <10 points) and depression groups (GDS-30 score ≥10 points) were compared using a chi-square test. Moreover, correlations between factors and depression were analyzed using Pearson’s correlation. Then, significant variables (p < 0.05) from the chi-square test were included in a multivariable logistic regression model to identify the independent factors associated with depression. Results: The incidence of depression among the participants was 14.04%. Age (p < 0.001), educational level (p < 0.001), living situation (p < 0.001), social support (p = 0.001), ADL score (p = 0.023), frailty (p < 0.001), and cognitive dysfunction (p < 0.001) were all significantly associated with depression, in which age, poor social support, frailty, and cognitive dysfunction were identified as independent factors. Conclusion: Improving social support and effective interventions for frailty and cognitive dysfunction may help relieve depression in community-dwelling older adults. Frontiers Media S.A. 2021-11-12 /pmc/articles/PMC8636125/ /pubmed/34867276 http://dx.doi.org/10.3389/fnagi.2021.743193 Text en Copyright © 2021 Liu, Peng, Zhu, Zhang, Ge, Zhou, Zhang, Wang and He. https://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 Neuroscience
Liu, Aihong
Peng, Yingjie
Zhu, Wenli
Zhang, Yanling
Ge, Shihui
Zhou, Yun
Zhang, Kemeng
Wang, Zhaohui
He, Ping
Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title_full Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title_fullStr Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title_full_unstemmed Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title_short Analysis of Factors Associated With Depression in Community-Dwelling Older Adults in Wuhan, China
title_sort analysis of factors associated with depression in community-dwelling older adults in wuhan, china
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8636125/
https://www.ncbi.nlm.nih.gov/pubmed/34867276
http://dx.doi.org/10.3389/fnagi.2021.743193
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