超重
肥胖
腰围
体质指数
医学
人体测量学
环境卫生
人口学
优势比
混淆
归一化差异植被指数
叶面积指数
内科学
社会学
病理
生物
生态学
作者
Shujun Fan,Wenru Feng,Ziyan Zhou,Yuming Guo,Zhenxiang Xue,Jun Yuan,Yuzhong Wang,Congcong Li,Yi Zhong,Weiyun He,Guang‐Hui Dong,Bo‐Yi Yang,Zhicong Yang,Zhoubin Zhang
标识
DOI:10.1016/j.envres.2021.112358
摘要
Living in greener areas may reduce adiposity, but epidemiological evidence on this topic is still inconsistence and limited, especially in rural areas. We performed a cross-sectional study among 4651 Uyghur adults in rural areas in Xinjiang province, northwestern China, from May to September 2016. We measured residential greenness levels using satellite-derived Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) in 100 m, 300 m, 500 m, and 1000 m buffers around each home address. Body height, weight, and waist circumference were assessed according to recommended guidelines. Data on baseline characteristics and confounders were collected using a questionnaire. We used generalized linear mixed models to estimate the associations of residential greenness with overweight/obesity prevalence and obesity-related anthropometric indices. Higher residential greenness levels were associated with lower waist circumference and body mass index levels, as well as with a lower odds ratio of peripheral overweight/obesity prevalence. No significant association was found for greenness and central obesity prevalence. The associations persisted in magnitude and direction across several sensitivity analyses we performed. Stratified analysis suggested that the associations were generally stronger in older adults than those in younger adults. Additionally, neither air pollutants nor physical activity significantly mediated the associations between greenness and obesity. Our results suggest that higher residential greenness were associated with lower odds of overweight/obesity and lower obesity-related anthropometric indices among rural Uyghur adults in China, especially for older adults.
科研通智能强力驱动
Strongly Powered by AbleSci AI