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Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study

BACKGROUND: This study aimed to explore the prevalence of elder neglect (EN) and its associated factors among community-based Chinese older adults. METHODS: We used data from the 2018 phase of a nationwide cross-sectional study, the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which recrui...

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Autores principales: Fu, Yi-cheng, Pei, Min-yue, Liao, Jiao-jiao, Li, Nan, Zhang, Fu-chun, Liu, Hui-lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040648/
https://www.ncbi.nlm.nih.gov/pubmed/36992875
http://dx.doi.org/10.3389/fpubh.2023.1123835
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author Fu, Yi-cheng
Pei, Min-yue
Liao, Jiao-jiao
Li, Nan
Zhang, Fu-chun
Liu, Hui-lin
author_facet Fu, Yi-cheng
Pei, Min-yue
Liao, Jiao-jiao
Li, Nan
Zhang, Fu-chun
Liu, Hui-lin
author_sort Fu, Yi-cheng
collection PubMed
description BACKGROUND: This study aimed to explore the prevalence of elder neglect (EN) and its associated factors among community-based Chinese older adults. METHODS: We used data from the 2018 phase of a nationwide cross-sectional study, the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which recruited 15,854 older adults to complete the study interviews that incorporated six dimensions of EN, namely, life neglect, social isolation, medical neglect, poor living situation, family neglect, and social neglect. Multivariate logistic regression was used to explore factors associated with EN. RESULTS: We included demographic factors, chronic diseases, cognitive function, and daily activity function in our comprehensive analysis and showed that they had different effects on the six EN dimensions. Different demographic factors such as gender, age, marriage, education, occupation, residence, and household income were included in the comprehensive analysis, and the results showed that these factors had different effects on the six dimensions of EN. Next, we found that older adults with chronic diseases are prone to life neglect, medical neglect, and residential environment neglect. Older adults with better cognitive abilities were less likely to be neglected, and a decline in daily activity capacity has been linked to EN in older adults. CONCLUSION: Future studies are needed to identify the health effects of these associated factors, develop prevention strategies for EN, and improve the quality of life of older adults living in communities.
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spelling pubmed-100406482023-03-28 Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study Fu, Yi-cheng Pei, Min-yue Liao, Jiao-jiao Li, Nan Zhang, Fu-chun Liu, Hui-lin Front Public Health Public Health BACKGROUND: This study aimed to explore the prevalence of elder neglect (EN) and its associated factors among community-based Chinese older adults. METHODS: We used data from the 2018 phase of a nationwide cross-sectional study, the Chinese Longitudinal Healthy Longevity Survey (CLHLS), which recruited 15,854 older adults to complete the study interviews that incorporated six dimensions of EN, namely, life neglect, social isolation, medical neglect, poor living situation, family neglect, and social neglect. Multivariate logistic regression was used to explore factors associated with EN. RESULTS: We included demographic factors, chronic diseases, cognitive function, and daily activity function in our comprehensive analysis and showed that they had different effects on the six EN dimensions. Different demographic factors such as gender, age, marriage, education, occupation, residence, and household income were included in the comprehensive analysis, and the results showed that these factors had different effects on the six dimensions of EN. Next, we found that older adults with chronic diseases are prone to life neglect, medical neglect, and residential environment neglect. Older adults with better cognitive abilities were less likely to be neglected, and a decline in daily activity capacity has been linked to EN in older adults. CONCLUSION: Future studies are needed to identify the health effects of these associated factors, develop prevention strategies for EN, and improve the quality of life of older adults living in communities. Frontiers Media S.A. 2023-03-13 /pmc/articles/PMC10040648/ /pubmed/36992875 http://dx.doi.org/10.3389/fpubh.2023.1123835 Text en Copyright © 2023 Fu, Pei, Liao, Li, Zhang and Liu. 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 Public Health
Fu, Yi-cheng
Pei, Min-yue
Liao, Jiao-jiao
Li, Nan
Zhang, Fu-chun
Liu, Hui-lin
Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title_full Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title_fullStr Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title_full_unstemmed Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title_short Prevalence and correlates of elder neglect in the community-dwelling Chinese population: New evidence from the CLHLS study
title_sort prevalence and correlates of elder neglect in the community-dwelling chinese population: new evidence from the clhls study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10040648/
https://www.ncbi.nlm.nih.gov/pubmed/36992875
http://dx.doi.org/10.3389/fpubh.2023.1123835
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