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The relationship of area-level sociodemographic characteristics household composition and individual-level socioeconomic status on walking behavior among adults

机译:成年人的步行行为与地区社会人口统计学特征家庭组成和个人社会经济地位的关系

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摘要

Understanding the contextual factors associated with why adults walk is important for those interested in increasing walking as a mode of transportation and leisure. This paper investigates the relationships between neighborhood-level sociodemographic context, individual level sociodemographic characteristics and walking for leisure and transport. Data from two community-based studies of adults (n=550) were used to determine the association between the area-sociodemographic environment (ASDE), calculated from U.S. Census variables, and individual-level SES as potential correlates of walking behavior. Descriptive statistics, mean comparisons and Pearson’s correlations coefficients were used to assess bivariate relationships. Generalized estimating equations were used to model the relationship between ASDE, as quartiles, and walking behavior. Adjusted models suggest adults engage in more minutes of walking for transportation and less walking for leisure in the most disadvantaged compared to the least disadvantaged neighborhoods but adding individual level demographics and SES eliminated the significant results. However, when models were stratified for free or reduced cost lunch, of those with children who qualified for free or reduced lunch, those who lived in the wealthiest neighborhoods engaged in 10.7 minutes less of total walking per day compared to those living in the most challenged neighborhoods (p<0.001). Strategies to increase walking for transportation or leisure need to take account of individual level socioeconomic factors in addition to area-level measures.
机译:对于那些对增加步行作为一种交通和休闲方式感兴趣的人来说,了解与成年人为什么走路相关的背景因素很重要。本文研究了邻里级别的社会人口统计学背景,个人级别的社会人口统计学特征与休闲和交通步行之间的关系。来自两项基于社区的成人研究(n = 550)的数据用于确定根据美国人口普查变量计算的区域社会超声环境(ASDE)与作为步行行为潜在关联的个体水平SES之间的关联。描述性统计数据,均值比较和Pearson相关系数用于评估双变量关系。广义估计方程用于模拟ASDE(四分位数)与步行行为之间的关系。调整后的模型表明,与处境最不利的地区相比,处境最不利的地区成年人从事交通运输的步行时间更长,而休闲时间较少,但是增加个人水平的人口统计数据和SES消除了明显的结果。但是,当模型分为免费午餐或减价午餐时,对于那些有资格获得免费午餐或减价午餐的孩子,居住在最富裕社区的孩子每天的步行总量要比那些生活最困难的人少10.7分钟社区(p <0.001)。除地区一级的措施外,增加交通步行或休闲活动的策略还应考虑个人一级的社会经济因素。

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