Hearst Mary O, Sirard John R, Forsyth Ann, Parker Emily D, Klein Elizabeth G, Green Christine G, Lytle Leslie A
St. Catherine University, 2004 Randolph Avenue, Saint Paul, MN 55105
Transp Res Part A Policy Pract. 2013 Apr;50:149-157. doi: 10.1016/j.tra.2013.01.006.
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.
对于那些有志于将步行作为一种交通方式和休闲方式加以推广的人来说,了解与成年人步行原因相关的背景因素非常重要。本文研究了邻里层面的社会人口背景、个体层面的社会人口特征与休闲步行和交通步行之间的关系。来自两项针对成年人的社区研究(n = 550)的数据被用于确定根据美国人口普查变量计算得出的区域社会人口环境(ASDE)与个体层面的社会经济地位(SES)之间的关联,它们是步行行为的潜在相关因素。描述性统计、均值比较和皮尔逊相关系数被用于评估双变量关系。广义估计方程被用于对作为四分位数的ASDE与步行行为之间的关系进行建模。调整后的模型表明,与最不贫困的社区相比,在最贫困的社区中,成年人用于交通的步行时间更多,而用于休闲的步行时间更少,但纳入个体层面的人口统计学因素和社会经济地位后,显著结果消失了。然而,当模型按免费或减价午餐进行分层时,在有符合免费或减价午餐条件孩子的人群中,与生活在最具挑战性社区的人相比,生活在最富裕社区的人每天的总步行时间少10.7分钟(p<0.001)。除了区域层面的措施外,增加交通步行或休闲步行的策略还需要考虑个体层面的社会经济因素。