Division of Prevention and Primary Care, New York City Department of Health and Mental Hygiene, Queens, New York.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Am J Epidemiol. 2018 Apr 1;187(4):736-745. doi: 10.1093/aje/kwx300.
In the present study, we examined the longitudinal associations between residential environmental factors and glycemic control in 182,756 adults with diabetes in New York City from 2007 to 2013. Glycemic control was defined as a hemoglobin A1c (HbA1c) level less than 7%. We constructed residential-level measures and performed principle component analysis to formulate a residential composite score. On the basis of this score, we divided residential areas into quintiles, with the lowest and highest quintiles reflecting the least and most advantaged residential environments, respectively. Several residential-level environmental characteristics, including more advantaged socioeconomic conditions, greater ratio of healthy food outlets to unhealthy food outlets, and residential walkability were associated with increased glycemic control. Individuals who lived continuously in the most advantaged residential areas took less time to achieve glycemic control compared with the individuals who lived continuously in the least advantaged residential areas (9.9 vs. 11.5 months). Moving from less advantaged residential areas to more advantaged residential areas was related to improved diabetes control (decrease in HbA1c = 0.40%, 95% confidence interval: 0.22, 0.55), whereas moving from more advantaged residential areas to less advantaged residential areas was related to worsening diabetes control (increase in HbA1c = 0.33%, 95% confidence interval: 0.24, 0.44). These results show that residential areas with greater resources to support healthy food and residential walkability are associated with improved glycemic control in persons with diabetes.
在本研究中,我们考察了纽约市 2007 年至 2013 年间 182756 例糖尿病患者的居住环境因素与血糖控制的纵向关联。血糖控制定义为血红蛋白 A1c(HbA1c)水平<7%。我们构建了居住环境指标,并进行主成分分析以制定居住综合评分。在此基础上,我们将居住区域分为五分位数,最低和最高五分位数分别代表居住环境最不利和最有利的区域。一些居住环境特征,包括更有利的社会经济条件、健康食品销售点与不健康食品销售点的比例更高,以及居住的可步行性,与血糖控制的改善有关。与居住在最不利的居住区域的个体相比,连续居住在最有利的居住区域的个体实现血糖控制的时间更短(9.9 个月 vs. 11.5 个月)。从居住环境不利的区域迁移到居住环境有利的区域与改善糖尿病控制相关(HbA1c 下降 0.40%,95%置信区间:0.22,0.55),而从居住环境有利的区域迁移到居住环境不利的区域与糖尿病控制恶化相关(HbA1c 上升 0.33%,95%置信区间:0.24,0.44)。这些结果表明,拥有更多资源支持健康食品和居住可步行性的居住区域与糖尿病患者的血糖控制改善有关。