The Relationship Between Depressive Symptoms and Self-Neglect in Chinese Older Adults Living Alone: A Latent Profile Analysis.

IF 2.4 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Yali Hu, Miaomiao Wu, Yan Zhang, Lunfang Xie
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引用次数: 0

Abstract

Objectives: To clarify the latent profile of depressive symptoms in Chinese older adults living alone and to explore the relationship between this profile and self-neglect. Methods: Data from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) were utilized to conduct a latent profile analysis for the identification of depressive symptoms. Logistic regression was employed to analyze the related factors. Generalized linear modeling was used to assess the impact of different profiles of depressive symptoms on self-neglect. Results: A total of 1822 older adults living alone, with a mean age of (83.60 ± 9.15) years, were included in the study. Three categories of depression were identified: the C1 mild depression-sleep disturbance group (29.36%), the C2 moderate depression-forcefulness group (55.22%), and the C3 major depression-loneliness loss group (15.42%). Logistic regression analysis indicated that gender, place of residence, annual household income, educational level, reason for living alone, self-rated health status, cognitive function, and emotional support were significant influencing factors (p < 0.05). The risk of experiencing higher levels of self-neglect in the C2 was 1.264 times greater than in the C1. Furthermore, the risk of higher levels of self-neglect in the C3 was 2.040 times greater than in the C1. Conclusions: Heterogeneity in depressive symptoms is evident among Chinese older adults living alone, with variations in self-neglect across different potential categories of these individuals. The focus should be on older adults in the C2 and C3 profiles. This study proposes targeted intervention strategies from family, community, and policy development perspectives to help improve self-neglect in older adults.

中国独居老年人抑郁症状与自我忽视的关系:一项潜在分析
目的:了解中国独居老年人抑郁症状的潜在特征,并探讨其与自我忽视的关系。方法:利用2018年中国纵向健康寿命调查(CLHLS)数据进行潜在特征分析,以识别抑郁症状。采用Logistic回归分析相关因素。采用广义线性模型来评估不同抑郁症状对自我忽视的影响。结果:共纳入独居老年人1822例,平均年龄(83.60±9.15)岁。抑郁症分为三类:C1轻度抑郁-睡眠障碍组(29.36%),C2中度抑郁-强迫组(55.22%),C3重度抑郁-孤独丧失组(15.42%)。Logistic回归分析显示,性别、居住地、家庭年收入、受教育程度、独居原因、自评健康状况、认知功能、情绪支持是影响心理健康的显著因素(p < 0.05)。在C2中经历更高程度自我忽视的风险是C1的1.264倍。此外,C3自我忽视水平较高的风险是C1的2.040倍。结论:中国独居老年人抑郁症状的异质性很明显,这些个体在不同的潜在类别中存在自我忽视的差异。重点应该放在C2和C3的老年人身上。本研究从家庭、社区和政策制定的角度提出有针对性的干预策略,以帮助改善老年人的自我忽视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Healthcare
Healthcare Medicine-Health Policy
CiteScore
3.50
自引率
7.10%
发文量
0
审稿时长
47 days
期刊介绍: Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.
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