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支持步行的环境属性。

Attributes of environments supporting walking.

作者信息

Moudon Anne Vernez, Lee Chanam, Cheadle Allen D, Garvin Cheza, Rd Donna B Johnson, Schmid Thomas L, Weathers Robert D

机构信息

Department of Urban Design and Planning, University of Washington, Seattle, Washington, USA.

出版信息

Am J Health Promot. 2007 May-Jun;21(5):448-59. doi: 10.4278/0890-1171-21.5.448.

Abstract

PURPOSE

This study established a framework to audit environments supporting walking in neighborhoods.

DESIGN

Cross-sectional analysis using a telephone survey and 200 objective environmental variables. SETTING. Urbanized King County, WA. SUBJECTS. 608 randomly sampled adults. Measures. Walking measures constructed from survey questions; objective environmental measures taken from parcel-level databases in Geographic Information Systems.

ANALYSIS

Multinomial models estimated the odds of people engaging in moderate walking (<149 min/wk) and in walking sufficiently to meet recommendations for health (150+ min/ wk), relative to not walking" and in walking sufficiently, relative to walking moderately. A base model consisted of survey variables, and final models incorporated both survey and environmental variables. RESULTS. Survey variables strongly associated with walking sufficiently to enhance health included household income, not having difficulty walking, using transit, perceiving social support for walking walking outside of the neighborhood, and having a dog (p < .01). The models isolated 14 environmental variables associated with walking sufficiently (pseudo R2 up to 0. 46). Measures of distance to neighborhood destinations dominated the results: shorter distances to grocery stores/markets, restaurants, and retail stores, but longer distances to offices or mixed-use buildings (p < .01 or .05). The density of the respondent's parcel was also strongly associated with walking sufficiently (p < .01). Conclusions. The study offered valid environmental measures of neighborhood walkability.

摘要

目的

本研究建立了一个框架,用于评估邻里环境对步行的支持情况。

设计

采用电话调查和200个客观环境变量进行横断面分析。地点:华盛顿州城市化的金县。对象:608名随机抽样的成年人。测量方法:根据调查问题构建步行测量指标;从地理信息系统中的地块级数据库获取客观环境测量指标。

分析

多项模型估计了人们进行适度步行(每周<149分钟)以及步行量足以达到健康建议量(每周150分钟及以上)的几率,相对于不步行而言;以及步行量足以达到健康建议量相对于适度步行的几率。基础模型由调查变量组成,最终模型纳入了调查变量和环境变量。结果:与步行量足以增进健康密切相关的调查变量包括家庭收入、步行无障碍、使用公共交通、感知到对步行的社会支持、在邻里之外步行以及养狗(p<.01)。模型确定了14个与步行量足以达到健康建议量相关的环境变量(伪R2高达0.46)。到邻里目的地的距离测量指标在结果中占主导地位:到杂货店/市场、餐馆和零售店的距离较短,但到办公室或混合用途建筑的距离较长(p<.01或.05)。受访者所在地块的密度也与步行量足以达到健康建议量密切相关(p<.01)。结论:该研究提供了有效的邻里步行适宜性环境测量指标。

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