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2020年中国健康与养老追踪调查(CHARLS)中患有抑郁症的中老年中国女性的多重疾病发病率:城乡差异的相互作用(加强流行病学观察性研究报告规范声明)

Multimorbidity incidence among middle-aged and elderly Chinese women with depression in CHARLS 2020: Interaction of urban-rural differences (STROBE).

作者信息

Chen Xi-Yu, Zhou Yang, Qing Lun-Xue, Hua Yi-Ni, Xiong Zhi-Hao, Yan Hao-Yue, Li Wei-Jia, Zhou Li, Ni Jin-Xia

机构信息

Department of Acupuncture and Moxibustion, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China.

Guanganmen Hospital, China Academy of Chinese Medical Science, Beijing, China.

出版信息

Medicine (Baltimore). 2025 Jun 27;104(26):e43083. doi: 10.1097/MD.0000000000043083.

DOI:10.1097/MD.0000000000043083
PMID:40587667
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12212859/
Abstract

In economically less-developed areas, the public is likely to neglect the physical and psychological health of middle-aged and elderly Chinese women by the public. Comorbidities such as multi morbidity and depression are becoming a severe global challenge. This paper aims to explain the impact of depression on multimorbidity in middle-aged and elderly Chinese women with urban-rural differences. In the China Health and Retirement Longitudinal Study 2020, a total of 6317 participants older than 45-year-old were included in this study. First, the Kruskal-Wallis H test and χ² test were used to determine the frequency and correlation between variables, depression, and multimorbidity. Second, logistic regression was used to measure the impact of depression on multimorbidity and identify the confounding factors. Finally, subgroup analysis explained the urban-rural differences. Of the 6317 individuals included, 65.5% of the multimorbidity participants had suffered from minor depression and 82.6% had major depression. Four binary logistic regression models with a good degree of fit were established to indicate that the prevalence of multimorbidity was increased after excluding the confounding factors of residence. In the subgroup analysis, marital status, depression, and self-rated health make sense in urban-rural differences. This study found that depression was more strongly associated with multimorbidity in urban women than in rural ones. In summary, urban women with depression experience multimorbidity with ease. The elderly population (≥60-year-old), unmarried rural women, and urban women with middle school education are more susceptible; in other words, these people might face more serious challenges in China.

摘要

在经济欠发达地区,公众可能会忽视中国中老年女性的身心健康。多种疾病并存和抑郁症等合并症正成为严峻的全球挑战。本文旨在阐释抑郁症对城乡有差异的中国中老年女性多种疾病并存情况的影响。在《中国健康与养老追踪调查(2020)》中,本研究共纳入了6317名年龄超过45岁的参与者。首先,使用Kruskal-Wallis H检验和χ²检验来确定变量、抑郁症和多种疾病并存之间的频率及相关性。其次,采用逻辑回归来衡量抑郁症对多种疾病并存的影响,并识别混杂因素。最后,亚组分析解释了城乡差异。在纳入的6317人中,65.5%的多种疾病并存参与者患有轻度抑郁症,82.6%患有重度抑郁症。建立了四个拟合度良好的二元逻辑回归模型,以表明在排除居住这一混杂因素后,多种疾病并存的患病率有所上升。在亚组分析中,婚姻状况、抑郁症和自评健康在城乡差异方面具有意义。本研究发现,抑郁症与城市女性多种疾病并存的关联比农村女性更强。总之,患有抑郁症的城市女性更容易出现多种疾病并存的情况。老年人群(≥60岁)、未婚农村女性以及受过中学教育的城市女性更容易受到影响;换句话说,在中国这些人可能面临更严峻的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/54b39e247936/medi-104-e43083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/d4b9eb465f3c/medi-104-e43083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/e70168b34827/medi-104-e43083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/54b39e247936/medi-104-e43083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/d4b9eb465f3c/medi-104-e43083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/e70168b34827/medi-104-e43083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78f/12212859/54b39e247936/medi-104-e43083-g003.jpg

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本文引用的文献

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