萧条(经济学)
入射(几何)
老化
队列
中国
队列研究
老年学
医学
环境卫生
圣人
人口学
联想(心理学)
地理
心理学
病理
内科学
核物理学
光学
心理治疗师
宏观经济学
物理
考古
社会学
经济
作者
Zhiqing Chen,Fan Wu,Yan Shi,Yanfei Guo,Jiahong Xu,Shuru Liang,Zhongguo Huang,Guanhao He,Jianxiong Hu,Qijiong Zhu,Siwen Yu,Shangfeng Yang,Cuiling Wu,Weiling Tang,Xiaomei Dong,Wenjun Ma,Tao Liu
摘要
BACKGROUND: Depression is a social and public health problem of great concern globally. Identifying and managing the factors influencing depression are crucial for preventing and decreasing the burden of depression. OBJECTIVES: Our objectives are to explore the association between residential greenness and the incidence of depression in an older Chinese population and to calculate the disease burden of depression prevented by greenness exposure. METHODS: ) years. Each participant was matched to the yearly maximum normalized difference vegetation index (NDVI) at their residential address. Incidence of depression was assessed using the Composite International Diagnostic Interview (CIDI), self-reports of depression, and/or taking depression medication. Association between greenness and depression was examined using the time-dependent Cox regression model with stratified analysis by sex, age, urbanicity, annual family income, region, smoking, drinking, and household cooking fuels. Furthermore, the prevented fraction (PF) and attributable number (AN) of depression prevented by exposure to greenness were estimated. RESULTS: ; 95% CI: 1.38%, 15.40%) and 1,955,199 (95% CI: 310,492; 3,464,909) new cases of depression may be avoided by increasing greenness exposures annually across China. DISCUSSION: The findings suggest protective effects of residential greenness exposure on depression incidence in the older population, particularly among urban residents, high-income residents, and participants living in southern China. The construction of residential greenness should be included in community planning. https://doi.org/10.1289/EHP13947.
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