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Association between Self-Rated Health and Depressive Symptoms in rural Chinese adults:A Cohort Study Based on Propensity Score Matching

引用

International Journal of Mental Health Promotion 2022年第3期24卷 385-398页

作者： Yang Wang Jinlong Lin MJames C.Crabbe Xiao-Guang Yue Institute of Population Research Peking UniversityBeijing100871China Wolfson College University of OxfordOxfordOX26UDUK Institute of Biomedical and Environmental Science&Technology School of Life SciencesFaculty of Creative ArtsTechnologies and ScienceUniversity of BedfordshireUniversity SquareLutonLU13JUUK School of Life Science Shanxi UniversityTaiyuan030006China Department of Computer Science and Engineering School of SciencesEuropean University CyprusNicosiaCyprus

Health status is widely regarded as a correlate of depressive symptoms.However,health assessments based on clinical diagnosis in rural areas with poor medical conditions are very limited.Self-rated health(SRH)serves as a simple and convenient evaluation indicator,which may be used as an independent predictor of depressive symptoms.To confirm the relationship between SRH and depressive symptoms in rural adults,a longitudinal survey of rural households in China was conducted using the China Family Panel Studies(CFPS)from 2012 to 2016.Propensity score matching and logistic regression analysis were used to explore the association.After data cleansing,3,127 pairs(6,254 participants)aged 16 and older followed for 4 years were enrolled,of which the average age was(50.02±14.19)years old,and the proportions of male and female were 48.64%and 51.36%,respectively.The incidence rate of depressive symptoms within 4 years was 30.86%(95%CI:29.24–32.48)in the group with fair or poor SRH,and 21.59%(95%CI:20.14–23.03)in the group with good SRH.The difference between the two groups was statistically significant(χ^(2)=69.51,Prural adults aged 30 and above(OR=1.65,95%CI:1.46–1.85,Prural primary mental health care.

关键词： rural adults self-rated health depressive symptoms cohort study propensity score matching

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