Epidemiology of Social Isolation Among Middle-aged and Older Adults in China.

Q4 Medicine
Lin Zhang, Shu Jing, Xue-Lin Yang, Yu-Ping Wang, Xiao-You Su
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引用次数: 0

Abstract

Objective To explore the contemporary prevalence,cumulative incidence,distribution characteristics,and correlates of social isolation among middle-aged and older adults aged 45 years and older in China. Methods This study utilized data from the China Health and Retirement Longitudinal Study.Cross-sectional studies with stratified analysis were conducted to investigate the prevalence of social isolation and its age,gender,and regional differences in 2018 and 2020.A cohort study and binary logistic regression models were employed to analyze the cumulative incidence of social isolation and its correlates from 2018 to 2020.Multiple imputation based on chained equations and sensitivity analyses based on complete-case data were employed to ensure the reliability of the analysis. Results In 2018,the weighted prevalence of social isolation among middle-aged and older adults was 16.48%(95%CI=15.67%-17.32%).In 2020,the weighted prevalence of social isolation among middle-aged and older adults was 18.84%(95%CI=17.93%-19.74%).Weighted stratified analyses indicated that the prevalence of social isolation was significantly higher among older adults,individuals residing in rural areas,and females.The weighted cumulative incidence of social isolation during 2018-2020 was 9.24%(95%CI=8.47%-10.02%).The analysis revealed that 34.02%(95%CI=32.85%-35.19%)of middle-aged and older adults exhibited depressive symptoms.Depressive symptoms(OR=1.38,95%CI=1.07-1.78,P=0.013)were significantly associated with an elevated risk of social isolation. Conclusion The study reveals the epidemiology of social isolation among middle-aged and older adults in China,identifying advanced age,female gender,rural residence,and depressive symptoms as key correlates.These findings emphasize the need for early health management strategies to address social isolation in these high-risk populations.

中国中老年人社会隔离的流行病学研究
目的了解中国45岁及以上中老年人群社会隔离的流行情况、累积发病率、分布特征及相关因素。方法本研究采用中国健康与退休纵向研究数据。通过分层分析的横断面研究,调查了2018年和2020年社会隔离的患病率及其年龄、性别和地区差异。采用队列研究和二元logistic回归模型分析2018 - 2020年社会隔离的累积发病率及其相关因素。为了保证分析的可靠性,采用了基于链式方程的多重插值和基于全案例数据的灵敏度分析。结果2018年,中老年人社会隔离的加权患病率为16.48%(95%CI=15.67% ~ 17.32%)。2020年,中老年人社会隔离的加权患病率为18.84%(95%CI=17.93%-19.74%)。加权分层分析表明,在老年人、居住在农村地区的个人和女性中,社会隔离的患病率明显更高。2018-2020年社会隔离加权累计发生率为9.24%(95%CI=8.47% ~ 10.02%)。分析显示34.02%(95%CI=32.85% ~ 35.19%)的中老年人表现出抑郁症状。抑郁症状(OR=1.38,95%CI=1.07-1.78,P=0.013)与社会孤立风险升高显著相关。结论本研究揭示了中国中老年人群社会隔离的流行病学,确定高龄、女性、农村居住和抑郁症状是主要相关因素。这些发现强调需要早期健康管理策略来解决这些高危人群的社会孤立问题。
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来源期刊
中国医学科学院学报
中国医学科学院学报 Medicine-Medicine (all)
CiteScore
0.60
自引率
0.00%
发文量
6813
期刊介绍: Acta Academiae Medicinae Sinicae was founded in February 1979. It is a comprehensive medical academic journal published in China and abroad, supervised by the Ministry of Health of the People's Republic of China and sponsored by the Chinese Academy of Medical Sciences and Peking Union Medical College. The journal mainly reports the latest research results, work progress and dynamics in the fields of basic medicine, clinical medicine, pharmacy, preventive medicine, biomedicine, medical teaching and research, aiming to promote the exchange of medical information and improve the academic level of medicine. At present, the journal has been included in 10 famous foreign retrieval systems and their databases [Medline (PubMed online version), Elsevier, EMBASE, CA, WPRIM, ExtraMED, IC, JST, UPD and EBSCO-ASP]; and has been included in important domestic retrieval systems and databases [China Science Citation Database (Documentation and Information Center of the Chinese Academy of Sciences), China Core Journals Overview (Peking University Library), China Science and Technology Paper Statistical Source Database (China Science and Technology Core Journals) (China Institute of Scientific and Technological Information), China Science and Technology Journal Paper and Citation Database (China Institute of Scientific and Technological Information)].
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