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Associations of multidimensional socioeconomic and built environment factors with body mass index trajectories among youth in geographically heterogeneous communities

机译:异质社区青年中多维社会经济因素和建筑环境因素与体重指数轨迹的关系

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摘要

Understanding contextual influences on obesity requires comparison of heterogeneous communities and concurrent assessment of multiple contextual domains. We used a theoretically-based measurement model to assess multidimensional socioeconomic and built environment factors theorized to influence childhood obesity across a diverse geography ranging from rural to urban. Confirmatory factor analysis specified four factors—community socioeconomic deprivation (CSED), food outlet abundance (FOOD), fitness and recreational assets (FIT), and utilitarian physical activity favorability (UTIL)—which were assigned to communities (townships, boroughs, city census tracts) in 37 Pennsylvania counties. Using electronic health records from 2001 to 2012 from 163,820 youth aged 3–18 years from 1288 communities, we conducted multilevel linear regression analyses with factor quartiles and their cross products with age, age2, and age3 to test whether community factors impacted body mass index (BMI) growth trajectories. Models controlled for sex, age, race/ethnicity, and Medical Assistance. Factor scores were lowest in townships, indicating less deprivation, fewer food and physical activity outlets, and lower utilitarian physical activity favorability. BMI at average age was lower in townships versus boroughs (beta [SE]) (0.217 [0.027], P < 0.001) and cities (0.378 [0.036], P < 0.001), as was BMI growth over time. Factor distributions across community types lacked overlap, requiring stratified analyses to avoid extrapolation. In townships, FOOD, UTIL, and FIT were inversely associated with BMI trajectories. Across community types, youth in the lowest (versus higher) CSED quartiles had lower BMI at average age and slower BMI growth, signifying the importance of community deprivation to the obesogenicity of environments.
机译:了解背景对肥胖的影响要求比较异质社区和同时评估多个背景领域。我们使用了基于理论的测量模型来评估多维社会经济因素,并从理论上构建了影响从农村到城市的不同地理区域的儿童肥胖的环境因素。验证性因素分析指定了四个因素-社区(乡镇,行政区,城市普查)–社区社会经济剥夺(CSED),食品出口丰富度(FOOD),健身和娱乐资产(FIT)和功利体育活动的可取性(UTIL)。宾夕法尼亚州的37个县)。利用2001年至2012年的电子健康记录,来自1288个社区的163,820位3-18岁的年轻人,我们对因子四分位数及其与年龄,年龄 2 和年龄 3 检验社区因素是否影响了体重指数(BMI)的增长轨迹。针对性别,年龄,种族/民族和医疗救助进行控制的模型。因子得分在乡镇中最低,表明较少的匮乏,较少的食物和体育锻炼渠道以及较低的功利体育锻炼倾向。与城镇居民体重指数随时间的增长一样,乡镇相对于自治市镇(β[SE])(0.217 [0.027],P <0.001)和城市(0.378 [0.036],P B <0.001)的平均年龄较低。跨社区类型的因素分布缺乏重叠,需要进行分层分析以避免外推。在乡镇,食品,UTIL和FIT与BMI轨迹成反比。在所有社区类型中,CSED四分位数最低(相对较高)的年轻人的平均年龄BMI较低,而BMI增长较慢,这表明社区剥夺对环境致肥胖性的重要性。

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