血脂异常
调解
体质指数
医学
人口
环境卫生
内科学
疾病
政治学
法学
作者
Qinjian Wang,Xiaoqing Li,Wenling Zhong,Hongyun Liu,Chuanteng Feng,Chao Song,Bin Yu,Yao Fu,Xi Lin,Yanrong Yin,Tiehui Chen,Jan D. Reinhardt,Shujuan Yang
标识
DOI:10.1016/j.envres.2022.114810
摘要
Evidence on associations of residential greenness with dyslipidemia is limited, particularly regarding dose-response relations and mediation. To investigate associations between greenness and dyslipidemia, non-linear dose-response relationships and mediators. This cross-sectional study draws on the 2018 Fujian Behavior and Disease Surveillance (FBDS) cohort that used multi-stage stratified random sampling from the general population of Fujian Province, China. Participants with one or more abnormities in total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), or low-density lipoprotein cholesterol (LDL-C) were classified as having dyslipidemia. Residential greenness was operationalized as 3-year average of the normalized difference vegetation index (NDVI500m) and enhanced vegetation index (EVI500m). A doubly robust approach was used for effect quantification. Dose-response relations were studied with natural cubic splines. Mediation via physical activity (PA), body mass index (BMI), PM2.5, PM10, SO2, and NO2 was also examined. Data from 43,183 participants were analyzed. Increases in NDVI500m and EVI500m residential greenness were associated with decreased dyslipidemia risk and improved blood lipids. Non-linear dose response relationships were discovered. Significant reduction of dyslipidemia risk was observed at levels of EVI500m > 0.48 and NDVI500m > 0.65. Joint mediation effects of PA, BMI, PM2.5, PM10, NO2, and SO2 on the associations of NDVI500m and EVI500m with dyslipidemia risk were 49.74% and 44.64%, respectively. Increased residential exposure to greenness was associated with decreased risk of dyslipidemia. A non-linear dose-response relationship between greenness and dyslipidemia suggests that specific thresholds of greenness need to be reached in order to achieve effects. BMI, PM2.5, and PM10 partially mediated the association.
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