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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >A hierarchy of sociodemographic and environmental correlates of walking and obesity.
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A hierarchy of sociodemographic and environmental correlates of walking and obesity.

机译：步行和肥胖的社会人口统计学和环境相关性的层次结构。

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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 investigation 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.
机译：目的：初步研究表明有必要进一步调查建筑环境与体育活动和BMI的关联可能因社会人口统计学亚组而异。这项研究的目的是使用一种新颖的统计技术来识别可能的亚组。方法：分析了《 2002年亚特兰大都市区交通和空气质量策略》（SMARTRAQ）研究中的数据，以探索居民密度，街道连通性，土地使用结构和个人社会人口学特征在预测步行，超重和肥胖状况方面的关系。 。卡方自动交互检测器（CHAID）分析用于将总体划分为亚组（N = 13,065）。结果：如果亚群居住在人口密度更高，街道连通性更高，土地使用结构更丰富的社区中，他们走路的可能性就更高。对于肥胖和超重的结果，男性也有类似的关系。宜居社区的男性居民肥胖或超重的可能性较小。相反，步行能力的特征与女性和非白人的肥胖率和超重率较高有关。结论：这些分析表明，性别和种族亚组在不同程度的步行能力上显示出明显不同的体重结果。相比之下，在步行性较好的社区中，所有人群的步行性始终较高。这些信息有助于更好地确定干预措施，并要求对影响各小组体重和身体活动的主持人进行更详细的调查。此信息支持更有效地利用稀缺资源来促进体育锻炼和健康的体重。

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