School of Public Health, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Brisbane, QLD 4059, Australia.
Ann Epidemiol. 2010 Mar;20(3):171-81. doi: 10.1016/j.annepidem.2009.11.004.
PURPOSE: To examine the association between neighborhood disadvantage and physical activity (PA). METHODS: We use data from the HABITAT multilevel longitudinal study of PA among middle-aged (40-65 years) men and women (N = 11,037, 68.5% response rate) living in 200 neighborhoods in Brisbane, Australia. PA was measured using three questions from the Active Australia Survey (general walking, moderate, and vigorous activity), one indicator of total activity, and two questions about walking and cycling for transport. The PA measures were operationalized by using multiple categories based on time and estimated energy expenditure that were interpretable with reference to the latest PA recommendations. The association between neighborhood disadvantage and PA was examined with the use of multilevel multinomial logistic regression and Markov chain Monte Carlo simulation. The contribution of neighborhood disadvantage to between-neighborhood variation in PA was assessed using the 80% interval odds ratio. RESULTS: After adjustment for sex, age, living arrangement, education, occupation, and household income, reported participation in all measures and levels of PA varied significantly across Brisbane's neighborhoods, and neighborhood disadvantage accounted for some of this variation. Residents of advantaged neighborhoods reported significantly higher levels of total activity, general walking, moderate, and vigorous activity; however, they were less likely to walk for transport. There was no statistically significant association between neighborhood disadvantage and cycling for transport. In terms of total PA, residents of advantaged neighborhoods were more likely to exceed PA recommendations. CONCLUSIONS: Neighborhoods may exert a contextual effect on the likelihood of residents participating in PA. The greater propensity of residents in advantaged neighborhoods to do high levels of total PA may contribute to lower rates of cardiovascular disease and obesity in these areas.
目的:研究邻里劣势与身体活动(PA)之间的关联。
方法:我们使用澳大利亚布里斯班 200 个街区中中年(40-65 岁)男性和女性(N=11037,响应率为 68.5%)的 PA 多水平纵向研究 HABITAT 的数据。PA 使用来自 Active Australia Survey 的三个问题(一般步行、适度和剧烈活动)、一个总活动指标以及两个关于步行和骑车出行的问题进行测量。PA 测量是通过使用基于时间和估计能量消耗的多个类别进行操作的,这些类别可以参考最新的 PA 建议进行解释。使用多层次多项逻辑回归和马尔可夫链蒙特卡罗模拟来检验邻里劣势与 PA 之间的关系。使用 80%区间优势比评估邻里劣势对 PA 之间的邻里差异的贡献。
结果:在调整了性别、年龄、居住安排、教育、职业和家庭收入后,布里斯班各街区报告的所有 PA 测量和水平的参与情况存在显著差异,邻里劣势对此差异有一定的解释。优势邻里的居民报告的总活动、一般步行、适度和剧烈活动水平明显更高;然而,他们不太可能骑车出行。邻里劣势与骑车出行之间没有统计学上显著的关联。就总 PA 而言,优势邻里的居民更有可能超过 PA 建议。
结论:邻里环境可能对居民参与 PA 的可能性产生情境影响。优势邻里的居民更有可能进行高水平的总 PA,这可能有助于降低这些地区心血管疾病和肥胖的发病率。
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