McAlexander Tara P, Malla Gargya, Uddin Jalal, Lee David C, Schwartz Brian S, Rolka Deborah B, Siegel Karen R, Kanchi Rania, Pollak Jonathan, Andes Linda, Carson April P, Thorpe Lorna E, McClure Leslie A
Department of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
Department of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA.
SSM Popul Health. 2022 Jul 14;19:101161. doi: 10.1016/j.ssmph.2022.101161. eCollection 2022 Sep.
Geographic disparities in diabetes burden exist throughout the United States (US), with many risk factors for diabetes clustering at a community or neighborhood level. We hypothesized that the likelihood of new onset type 2 diabetes (T2D) would differ by community type in three large study samples covering the US.
We evaluated the likelihood of new onset T2D by a census tract-level measure of community type, a modification of RUCA designations (higher density urban, lower density urban, suburban/small town, and rural) in three longitudinal US study samples (REGARDS [REasons for Geographic and Racial Differences in Stroke] cohort, VADR [Veterans Affairs Diabetes Risk] cohort, Geisinger electronic health records) representing the CDC Diabetes LEAD (Location, Environmental Attributes, and Disparities) Network.
In the REGARDS sample, residing in higher density urban community types was associated with the lowest odds of new onset T2D (OR [95% CI]: 0.80 [0.66, 0.97]) compared to rural community types; in the Geisinger sample, residing in higher density urban community types was associated with the highest odds of new onset T2D (OR [95% CI]: 1.20 [1.06, 1.35]) compared to rural community types. In the VADR sample, suburban/small town community types had the lowest hazard ratios of new onset T2D (HR [95% CI]: 0.99 [0.98, 1.00]). However, in a regional stratified analysis of the VADR sample, the likelihood of new onset T2D was consistent with findings in the REGARDS and Geisinger samples, with highest likelihood of T2D in the rural South and in the higher density urban communities of the Northeast and West regions; likelihood of T2D did not differ by community type in the Midwest.
The likelihood of new onset T2D by community type varied by region of the US. In the South, the likelihood of new onset T2D was higher among those residing in rural communities.
美国各地糖尿病负担存在地理差异,糖尿病的许多风险因素在社区或邻里层面聚集。我们假设,在美国的三个大型研究样本中,2型糖尿病(T2D)新发病例的可能性会因社区类型而异。
我们通过社区类型的普查区层面测量方法评估T2D新发病例的可能性,该方法是对RUCA分类(高密度城市、低密度城市、郊区/小镇和农村)的一种修改,在美国三个纵向研究样本(REGARDS [中风地理和种族差异原因] 队列、VADR [退伍军人事务部糖尿病风险] 队列、盖辛格电子健康记录)中进行评估,这些样本代表了美国疾病控制与预防中心糖尿病LEAD(位置、环境属性和差异)网络。
在REGARDS样本中,与农村社区类型相比,居住在高密度城市社区类型的人群发生T2D新发病例的几率最低(OR [95% CI]:0.80 [0.66, 0.97]);在盖辛格样本中,与农村社区类型相比,居住在高密度城市社区类型的人群发生T2D新发病例的几率最高(OR [95% CI]:1.20 [1.06, 1.35])。在VADR样本中,郊区/小镇社区类型的T2D新发病例风险比最低(HR [95% CI]:0.99 [0.98, 1.00])。然而,在VADR样本的区域分层分析中,T2D新发病例的可能性与REGARDS和盖辛格样本中的结果一致,在南部农村地区以及东北部和西部地区的高密度城市社区中T2D发病可能性最高;在中西部地区,T2D发病可能性在不同社区类型之间没有差异。
美国不同地区因社区类型导致的T2D新发病例可能性有所不同。在南部,居住在农村社区的人群发生T2D新发病例的可能性更高。