Ewing Reid, Schmid Tom, Killingsworth Richard, Zlot Amy, Raudenbush Stephen
Bloustein School of Planning and Public Policy, Rutgers University, New Brunswick, New Jersey, USA.
Am J Health Promot. 2003 Sep-Oct;18(1):47-57. doi: 10.4278/0890-1171-18.1.47.
To determine the relationship between urban sprawl, health, and health-related behaviors.
Cross-sectional analysis using hierarchical modeling to relate characteristics of individuals and places to levels of physical activity, obesity, body mass index (BMI), hypertension, diabetes, and coronary heart disease.
U.S. counties (448) and metropolitan areas (83).
Adults (n = 206,992) from pooled 1998, 1999, and 2000 Behavioral Risk Factor Surveillance System (BRFSS).
Sprawl indices, derived with principal components analysis from census and other data, served as independent variables. Self-reported behavior and health status from BRFSS served as dependent variables.
After controlling for demographic and behavioral covariates, the county sprawl index had small but significant associations with minutes walked (p = .004), obesity (p < .001), BMI (p = .005), and hypertension (p = .018). Residents of sprawling counties were likely to walk less during leisure time, weigh more, and have greater prevalence of hypertension than residents of compact counties. At the metropolitan level, sprawl was similarly associated with minutes walked (p = .04) but not with the other variables.
This ecologic study reveals that urban form could be significantly associated with some forms of physical activity and some health outcomes. More research is needed to refine measures of urban form, improve measures of physical activity, and control for other individual and environmental influences on physical activity, obesity, and related health outcomes.
确定城市扩张、健康及与健康相关行为之间的关系。
采用分层建模的横断面分析,将个体和地点的特征与身体活动水平、肥胖、体重指数(BMI)、高血压、糖尿病及冠心病联系起来。
美国各县(448个)和大都市区(83个)。
来自1998年、1999年和2000年行为危险因素监测系统(BRFSS)汇总数据的成年人(n = 206,992)。
通过对人口普查和其他数据进行主成分分析得出的扩张指数作为自变量。BRFSS中自我报告的行为和健康状况作为因变量。
在控制了人口统计学和行为协变量后,县扩张指数与步行分钟数(p = 0.004)、肥胖(p < 0.001)、BMI(p = 0.005)和高血压(p = 0.018)存在虽小但显著的关联。与紧凑型县的居民相比,扩张型县的居民在休闲时间步行可能更少,体重更重,高血压患病率更高。在大都市区层面,扩张同样与步行分钟数相关(p = 0.04),但与其他变量无关。
这项生态学研究表明,城市形态可能与某些形式的身体活动及一些健康结果存在显著关联。需要更多研究来完善城市形态的测量方法,改进身体活动的测量方法,并控制其他个体和环境因素对身体活动、肥胖及相关健康结果的影响。