Lee Chanam
A335 Langford Architecture Center, Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A & M University, College Station, TX 77843-3137, USA.
Am J Health Promot. 2007 Mar-Apr;21(4 Suppl):293-304. doi: 10.4278/0890-1171-21.4s.293.
This study examines the associations that a neighborhood ' physical and social environments have with transportation and recreation physical activities, with an emphasis on the roles of health risk and economic factors.
It is a cross-sectional study with a hypothesis-testing approach. Setting. The study was conducted within the city of Seattle, Washington. Subjects. The subjects included 438 able-bodied, randomly selected adults.
Physical activity and sociodemographic data came from a telephone survey (34 % response rate). Environmental variables were measured subjectively as people's perceptions and objectively using the Geographic Information System. Bivariate analyses and the Structural Equation Model were used to test the overall theoretic framework and the relationships among latent and observed variables.
Lower-income populations lived in areas with more routine destinations and higher densities and were more active for transportation than higher-income populations. People with higher health risks were less active for both transportation and recreation purposes. The social environment-perception of people walking and biking in the neighborhood-was more strongly associated with recreational physical activities, while the physical environment was more strongly associated with transportation physical activities.
Further investigation of different subpopulations and explicit distinction among different purposes of physical activities are needed in future research and interventions. This study is limited to urban areas and cross-sectional data.
本研究探讨社区的物理和社会环境与交通及休闲体育活动之间的关联,重点关注健康风险和经济因素的作用。
这是一项采用假设检验方法的横断面研究。地点。该研究在华盛顿州西雅图市进行。对象。对象包括438名随机选取的身体健康的成年人。
体育活动和社会人口统计学数据来自电话调查(回应率为34%)。环境变量通过人们的主观认知进行测量,并使用地理信息系统进行客观测量。双变量分析和结构方程模型用于检验整体理论框架以及潜在变量和观测变量之间的关系。
低收入人群居住在日常目的地更多、密度更高的地区,在交通方面比高收入人群更活跃。健康风险较高的人在交通和休闲方面的活动较少。社会环境——对社区中步行和骑自行车的人的认知——与休闲体育活动的关联更强,而物理环境与交通体育活动的关联更强。
未来的研究和干预需要进一步调查不同亚人群体,并明确区分体育活动的不同目的。本研究仅限于城市地区和横断面数据。