A hierarchy of sociodemographic and environmental correlates of walking and obesity
A hierarchy of sociodemographic and environmental correlates of walking and obesity
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DOI：
10.1016/j.ypmed.2008.04.004
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发表时间：
2008-08-01
影响因子：
5.1
通讯作者：
Chapman, Jim
中科院分区：
文献类型：
--
作者：
Frank, Lawrence D.;Kerr, Jacqueline;Chapman, Jim
目标.初步研究表明，有必要进一步调查建筑环境与体力活动和BMI的关联如何因社会人口亚组而异。本研究的目的是使用一种新的统计技术，以确定可能的亚组。对2002年亚特兰大地铁区域交通和空气质量战略（SMARTRAQ）研究的数据进行了分析，以探讨住宅密度、街道连通性、土地利用组合和个人社会人口特征在预测步行、超重和肥胖状态方面的措施之间的关系。采用卡方自动交互作用检测器（CHAID）分析将人群分为亚组（N= 13，065）。亚组，更有可能步行，如果他们生活在社区与更大的住宅密度，更大的街道连通性和更大的土地使用组合。在男性中，肥胖和超重的结果也存在类似的关系。居住在更适合步行的社区的男性居民不太可能肥胖或超重。相比之下，女性和非白人中步行能力的特征与肥胖和超重的高发生率有关。这些分析表明，性别和种族亚组在不同的步行能力水平上显示出显著不同的体重结果。相比之下，在更适合步行的社区，所有群体的步行率都更高。这些信息有助于更好地针对干预措施，并呼吁更详细地调查影响各亚组体重和体力活动的调节因素。这些信息支持更有效地利用稀缺资源，以促进体育活动和健康体重。(C)2008年由Elsevier Inc.出版
Objectives. Initial studies demonstrate the need for further investigation of how the association of built environment with physical activity and BMI may differ by sociodemographic subgroups. The aim of this study was to use a novel statistical technique to identify possible subgroups.Methods. Data from the 2002 Strategies for Metro Atlanta's Regional Transportation and Air Quality (SMARTRAQ) study were analyzed to explore relationships between measures of residential density, street connectivity, land use mix, and sociodemographic characteristics of individuals in predicting walking, overweight and obesity status. Chi-squared Automatic interaction Detector (CHAID) analyses were used to partition the population into subgroups (N=13,065).Results. Subgroups, were more likely to walk if they lived in neighborhoods with greater residential density, greater street connectivity and greater land use mix. A similar relationship was seen in men for the outcomes of obesity and overweight. Male residents of more walkable neighborhoods were less likely to be obese or overweight. In contrast, features of walkability were related to higher rates of obesity and overweight in women and non whites.Conclusions. These analyses reveal that gender and ethnic subgroups display substantially different weight outcomes across different levels of walkability. In contrast, walking was consistently higher for all groups in the more walkable neighborhoods. This information can contribute to better targeting of interventions, and calls for more detailed investigadion of the moderators that affect weight and physical activity across subgroups. This information supports a more efficient use of scarce resources to promote physical activity and healthy body weight. (C) 2008 Published by Elsevier Inc.