Long-term exposure to residential surrounding greenness and incidence of diabetes: A prospective cohort study

医学 归一化差异植被指数 四分位数 体质指数 危险系数 糖尿病 比例危险模型 队列研究 累积发病率 入射(几何) 置信区间 人口 增强植被指数 环境卫生 队列 人口学 内科学 植被指数 生态学 叶面积指数 物理 内分泌学 社会学 光学 生物
作者
Luhua Yu,Tiezheng Li,Zongming Yang,Xinhan Zhang,Lisha Xu,Yonghao Wu,Zhebin Yu,Peng Shen,Hongbo Lin,Liming Shui,Mengling Tang,Mingjuan Jin,Kun Chen,Jianbing Wang
出处
期刊:Environmental Pollution [Elsevier]
卷期号:310: 119821-119821 被引量:11
标识
DOI:10.1016/j.envpol.2022.119821
摘要

Exposure to residential greenness might affect population health through increasing physical activity and social engagement, improving mental health, and reducing harmful environmental exposure. However, evidence on the association of greenness with risk of diabetes is still controversial. In this study, we recruited a total of 22,535 participants aged ≥18 years from Yinzhou District, Ningbo, Zhejiang Province, China to investigate the associations between residential greenness and risk of diabetes incidence. Residential greenness was estimated using Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Vegetation Continuous Field (VCF). We also calculated cumulative average NDVI, EVI and VCF values, and changes in NDVI, EVI and VCF during the follow-up period. We used Cox proportional hazards models controlling for demographic characteristics, lifestyles, individual socioeconomic status, history of diseases and particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) to examine hazard ratios (HRs) and 95% confidence intervals (95% CIs) and assessed physical activity, body mass index (BMI) or PM2.5 as potential mediators. During 84,992.64 person-years of follow-up, a total of 1,154 incident cases of diabetes occurred. In multivariable models, living in the highest quartile of cumulative average NDVI, EVI and VCF within 250-m buffer was associated with 57% (HR = 0.43, 95% CI: 0.36, 0.52), 62% (HR = 0.38, 95% CI: 0.32, 0.45), and 55% (HR = 0.45, 95% CI: 0.38, 0.54) reduction in diabetes risk compared with the lowest quartile, respectively. Results remained similar for NDVI, EVI, and VCF within 500-m and 1000-m buffers. Stratified analyses showed stronger association for residential greenness and diabetes among older people. The association between greenness and diabetes did not appear to be mediated by physical activity, PM2.5 or BMI. Our findings suggested that higher residential greenness was significantly associated with lower risk of diabetes.
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