Pikora Terri J, Giles-Corti Billie, Knuiman Matthew W, Bull Fiona C, Jamrozik Konrad, Donovan Rob J
School of Population Health, The University of Western Australia, Perth, Western Australia, Australia.
Med Sci Sports Exerc. 2006 Apr;38(4):708-14. doi: 10.1249/01.mss.0000210189.64458.f3.
The physical environment plays an important role in influencing participation in physical activity, although the specific factors that are correlated with different patterns of walking remain to be determined. We examined correlations between physical environmental factors and self-reported walking for recreation and transport near home.
The local neighborhood environments (defined as a 400-m radius from the respondent's home) of 1678 adults were assessed for their suitability for walking. The environmental data were collected during 2000 using the Systematic Pedestrian and Cycling Environmental Scan (SPACES) instrument together with information from other sources. We used logistic regression modeling to examine the relationship between the attributes of the physical environment and the self-reported walking behavior undertaken near home.
Functional features were correlated with both walking for recreation (odds ratio (OR) 1.62; 95% confidence interval (CI): 1.20-2.19) and for transport (OR 1.30; 95% CI: 0.97-1.73). A well-maintained walking surface was the main functional factor associated with walking for recreation (OR 2.04; 95% CI: 1.43-2.91) and for transport (OR 2.13; 95% CI: 1.53-2.96). Destination factors, such as shops and public transport, were significantly correlated with walking for transport (OR 1.80; 95% CI: 1.33-2.44), but not recreation.
The findings suggest that neighborhoods with pedestrian facilities that are attractive and comfortable and where there are local destinations (such as shops and public transport) are associated with walking near home.
尽管与不同步行模式相关的具体因素仍有待确定,但物理环境在影响身体活动参与方面起着重要作用。我们研究了物理环境因素与在家附近进行休闲和交通步行的自我报告之间的相关性。
对1678名成年人的当地邻里环境(定义为距受访者家半径400米的范围)进行步行适宜性评估。2000年期间,使用系统行人与自行车环境扫描(SPACES)工具以及其他来源的信息收集环境数据。我们使用逻辑回归模型来研究物理环境属性与在家附近进行的自我报告步行行为之间的关系。
功能特征与休闲步行(优势比(OR)1.62;95%置信区间(CI):1.20 - 2.19)和交通步行(OR 1.30;95% CI:0.97 - 1.73)均相关。维护良好的步行路面是与休闲步行(OR 2.04;95% CI:1.43 - 2.91)和交通步行(OR 2.13;95% CI:1.53 - 2.96)相关的主要功能因素。诸如商店和公共交通等目的地因素与交通步行显著相关(OR 1.80;95% CI:1.33 - 2.44),但与休闲步行无关。
研究结果表明,拥有吸引人且舒适的行人设施以及当地目的地(如商店和公共交通)的社区与在家附近步行有关。