Associations of greenness with gestational diabetes mellitus: The Guangdong Registry of Congenital Heart Disease (GRCHD) study

妊娠期糖尿病 医学 归一化差异植被指数 相对风险 人口 怀孕 后代 混淆 糖尿病 四分位间距 入射(几何) 人口学 产科 环境卫生 置信区间 内科学 妊娠期 内分泌学 物理 光学 社会学 生物 遗传学 叶面积指数 生态学
作者
Yanji Qu,Bo‐Yi Yang,Shao Lin,Michael S. Bloom,Zhiqiang Nie,Yanqiu Ou,Jinzhuang Mai,Yong Wu,Xiangmin Gao,Guang‐Hui Dong,Xiaoqing Liu
出处
期刊:Environmental Pollution [Elsevier BV]
卷期号:266: 115127-115127 被引量:27
标识
DOI:10.1016/j.envpol.2020.115127
摘要

Gestational diabetes mellitus (GDM) is associated with adverse short- and long-term health outcomes among mothers and their offspring. GDM affects 0.6%-15% of pregnancies worldwide and its incidence is increasing. However, intervention strategies are lacking for GDM. Previous studies indicated a protective association between greenspace and type 2 diabetes mellitus (T2DM), while few studies have explored the association between greenness and GDM. This study aimed to investigate the association between residential greenness and GDM among women from 40 clinical centers in Guangdong province, south China. The study population comprised 5237 pregnant mothers of fetuses and infants without birth defects, from 2004 to 2016. There were n = 157 diagnosed with GDM according to World Health Organization criteria. We estimated residential greenness using the Normalized Difference Vegetation Index (NDVI), derived from satellite imagery using a spatial-statistical model. Associations between greenness during pregnancy and GDM were assessed by confounder-adjusted random effects log-binomial regression models, with participating centers as the random effect. One interquartile increments of NDVI250m, NDVI500m and NDVI1000m were associated with 13% (RR = 0.87, 95%CI: 0.87-0.87), 8% (RR = 0.92, 95%CI: 0.91-0.92) and 3% (RR = 0.97, 95%CI: 0.97-0.97) lower risks for GDM, respectively. However, NDVI3000m was not significantly associated with GDM (RR = 0.96, 95%CI: 0.78-1.19). The risk for GDM decreased monotonically with greater NDVI. The protective effect of greenness on GDM was stronger among women with lower socioeconomic status and in environments with a lower level air pollutants. Our results suggest that greenness might provide an effective intervention to decrease GDM. Greenness and residential proximity to greenspace should be considered in community planning to improve maternal health outcomes.
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