Regional distribution of depressive symptoms in middle-aged and portioulate matter elderly Chinese population and its ecological association with particulate matter 25
10.3969/j.issn.1000-6729.2025.07.04
- VernacularTitle:我国中老年人抑郁症状检出率地区分布及其与细颗粒物的生态学关联
- Author:
Ziyi LUO
1
;
Shijia YUAN
;
Ronghang LIU
;
Wenhui GAO
;
Chunlei HAN
Author Information
1. 滨州医学院附属医院,山东滨州 256600;中国疾病预防控制中心卫生应急中心,北京 102200
- Publication Type:Journal Article
- Keywords:
depressive symptoms;
particulate matter 2.5(PM2.5);
difference in differences;
spatial auto-correlation;
China Health and Retirement Longitudinal Study(CHARLS)
- From:
Chinese Mental Health Journal
2025;39(7):597-603
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Against the backdrop of population aging and air pollution,this study examined the re-gional distribution of depressive symptoms among middle-aged and elderly people in China and explores the influ-ence of patrticulate matter 2.5(PM2.5)concentration on these symptoms.This study examined the regional distri-bution of depressive symptoms in middle-aged and elderly people in China and explores the influence of PM2.5 concentration and related factors on these symptoms.Methods:Middle-aged and elderly people aged 45 years and above in CHARLS database in 2013,2015 and 2018 were selected as research objects,and the Center for Epidemio-logic Studies Depression Scale(CESD-10)to obtain the detection rate of depressive symptoms.The PM2.5 concen-tration data were derived from the annual data of the China Environmental Monitoring Station.t-test,x2 test and DID model were used to analyze the related factors of depressive symptoms.Stata17.0 and Arc GIS10.8 were used for spatial autocorrelation analysis to explore the regional distribution and relationship of depressive symptoms in mid-dle-aged and elderly people in China.Results:From east to west,the detection rate of depressive symptoms in mid-dle-aged and elderly people in China showed an increasing trend.The regional distribution of PM2.5 mainly showed that the central region was higher than the northern and southern regions and the western region(except Xinjiang)was higher than the eastern region.Conclusion:Both the PM2.5 concentration and depression symptoms exhibit spatial clustering across China.PM2.5 has a negative impact on depression symptoms in middle-aged and elderly people,with other related factors including gender,age,education level,marital status,living area,smoking status.
