Fiffer Melissa R, James Peter, Chen Jie, Iyer Hari S, Holland Isabel, Roscoe Charlotte, Wilt Grete, Nethery Rachel C, Sun Qi, Laden Francine, Hart Jaime E
Department of Pediatrics, Children's Environmental Health Initiative, University of Illinois Chicago, Chicago, Illinois.
Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Environ Epidemiol. 2025 Jun 11;9(4):e405. doi: 10.1097/EE9.0000000000000405. eCollection 2025 Aug.
Epidemiologic studies have associated higher neighborhood greenness with lower type 2 diabetes (T2D) risk. However, more work is needed to assess interrelationships between greenness, T2D risk factors, and T2D. Our aim was to prospectively evaluate the association between greenness and T2D incidence, and investigate effect modifiers, in the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) cohorts of US women.
Greenness exposure was defined using the normalized difference vegetation index (NDVI), a quantitative indicator of photosynthetic vegetation. We obtained 30m resolution Landsat satellite data and calculated average NDVI within 270 m and 1230 m radial buffers to represent residential exposure and exposure within a short walk/drive using addresses from 1992 to 2017. We used time-varying Cox proportional hazards models to assess summer average NDVI in the 2 years before diagnosis and self-reported, validated clinician T2D diagnosis through 2019. We adjusted for time-varying covariates including lifestyle factors, hormone use, individual and neighborhood socioeconomic status (nSES), population density, particulate matter (PM) and nitrogen dioxide (NO) exposure, and baseline body mass index (BMI). Results from the two cohorts (n = 212,548) were meta-analyzed. We examined effect modification by time-varying BMI, physical activity, smoking, region, air pollution, population density, and nSES. Supplemental analyses explored mediation by physical activity and air pollution.
During the 27 years of follow-up, there were 18,527 incident T2D cases. In fully adjusted models, the meta-analyzed hazard ratio was 0.96 (95% confidence interval = 0.95, 0.97) for a 0.1 unit increase in 2-year summer average NDVI. In NHS, stronger associations were found among participants in the lowest PM tertile, and in NHSII, among those with BMI <30 and those in neighborhoods above the lowest nSES quartile.
In one of the first US nationwide prospective analyses of greenness and T2D, we found a protective association robust to air pollution co-exposure adjustment and persistent across subpopulations.
流行病学研究表明,邻里绿化程度越高,2型糖尿病(T2D)风险越低。然而,仍需开展更多工作来评估绿化程度、T2D风险因素和T2D之间的相互关系。我们的目的是在前瞻性评估美国护士健康研究(NHS)和护士健康研究II(NHSII)队列中绿化程度与T2D发病率之间的关联,并调查效应修饰因素。
使用归一化植被指数(NDVI)定义绿化暴露,NDVI是光合植被的定量指标。我们获取了30米分辨率的陆地卫星数据,并使用1992年至2017年的地址计算了270米和1230米径向缓冲区内的平均NDVI,以代表居住暴露以及短距离步行/驾车范围内的暴露。我们使用时变Cox比例风险模型评估诊断前2年的夏季平均NDVI以及截至2019年自我报告并经临床医生验证的T2D诊断情况。我们对时变协变量进行了调整,包括生活方式因素、激素使用、个体和邻里社会经济地位(nSES)、人口密度、颗粒物(PM)和二氧化氮(NO)暴露以及基线体重指数(BMI)。对两个队列(n = 212,548)的结果进行了荟萃分析。我们研究了时变BMI、身体活动、吸烟、地区、空气污染、人口密度和nSES的效应修饰作用。补充分析探讨了身体活动和空气污染的中介作用。
在27年的随访期间,有18,527例T2D发病病例。在完全调整模型中,2年夏季平均NDVI每增加0.1个单位,荟萃分析得出的风险比为0.96(95%置信区间 = 0.95, 0.97)。在NHS中,PM处于最低三分位数的参与者之间发现了更强的关联,而在NHSII中,BMI<30的参与者以及nSES高于最低四分位数的邻里中的参与者之间发现了更强的关联。
在首次针对美国全国范围内绿化程度与T2D的前瞻性分析中,我们发现了一种保护关联,该关联在空气污染共同暴露调整后依然稳健,且在亚人群中持续存在。