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邻里绿地与社会经济风险与亚邻里尺度的糖尿病风险相关:来自前瞻性城市和农村流行病学(PURE)研究的结果。

Neighborhood Greenspace and Socioeconomic Risk are Associated with Diabetes Risk at the Sub-neighborhood Scale: Results from the Prospective Urban and Rural Epidemiology (PURE) Study.

机构信息

Community Health Environments and Social Terrains Lab, Institute for Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, Wetterkreuz 15, 91058, Erlangen, Germany.

Department of Geography, Simon Fraser University, Burnaby, Canada.

出版信息

J Urban Health. 2022 Jun;99(3):506-518. doi: 10.1007/s11524-022-00630-w. Epub 2022 May 12.

Abstract

Greenspace and socioeconomic status are known correlates of diabetes prevalence, but their combined effects at the sub-neighborhood scale are not yet known. This study derives, maps, and validates a combined socioeconomic/greenspace index of individual-level diabetes risk at the sub-neighborhood scale, without the need for clinical measurements. In two Canadian cities (Vancouver and Hamilton), we computed 4 greenspace variables from satellite imagery and extracted 11 socioeconomic variables from the Canadian census. We mapped 5125 participants from the Prospective Urban and Rural Epidemiology Study by their residential address and used age- and sex-dependent walking speeds to estimate individual exposure zones to local greenspace and socioeconomic characteristics, which were then entered into a principal component analysis to derive a novel diabetes risk index (DRI-GLUCoSE). We mapped index scores in both study areas and validated the index using fully adjusted logistic regression models to predict individual diabetes status. Model performance was then compared to other non-clinical diabetes risk indices from the literature. Diabetes prevalence among participants was 9.9%. The DRI-GLUCoSE index was a significant predictor of diabetes status, exhibiting a small non-significant attenuation with the inclusion of dietary and physical activity variables. The final models achieved a predictive accuracy of 75%, the highest among environmental risk models to date. Our combined index of local greenspace and socioeconomic factors demonstrates that the environmental component of diabetes risk is not sufficiently explained by diet and physical activity, and that increasing urban greenspace may be a suitable means of reducing the burden of diabetes at the community scale.

摘要

绿地和社会经济地位是已知的糖尿病患病率的相关因素,但它们在亚邻里尺度上的综合影响尚不清楚。本研究在亚邻里尺度上,无需临床测量,就个体层面的糖尿病风险,推导出、绘制并验证了一个综合的社会经济/绿地指数。在加拿大的两个城市(温哥华和汉密尔顿),我们从卫星图像中计算了 4 个绿地变量,并从加拿大人口普查中提取了 11 个社会经济变量。我们根据居住地址对来自前瞻性城市和农村流行病学研究的 5125 名参与者进行了绘图,并使用年龄和性别依赖的步行速度来估计个体对当地绿地和社会经济特征的暴露区域,然后将这些暴露区域输入主成分分析,以推导出一个新的糖尿病风险指数(DRI-GLUCoSE)。我们在两个研究区域中绘制了指数得分,并使用完全调整的逻辑回归模型验证了该指数,以预测个体的糖尿病状况。然后将模型性能与文献中的其他非临床糖尿病风险指数进行比较。参与者的糖尿病患病率为 9.9%。DRI-GLUCoSE 指数是糖尿病状况的一个显著预测因子,随着饮食和体育活动变量的纳入,其相关性略有减弱,但无统计学意义。最终模型的预测准确性达到 75%,是迄今为止环境风险模型中最高的。我们的本地绿地和社会经济因素综合指数表明,糖尿病风险的环境因素不能仅通过饮食和体育活动来充分解释,增加城市绿地可能是减轻社区层面糖尿病负担的一种合适手段。

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