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澳大利亚墨尔本地区环境对步行的影响。

Local environments as determinants of walking in Melbourne, Australia.

机构信息

University of Melbourne, The Melbourne School of Population Health, Centre for Women's Health, Gender and Society, Parkville, Australia.

出版信息

Soc Sci Med. 2010 Jun;70(11):1806-15. doi: 10.1016/j.socscimed.2010.01.041. Epub 2010 Feb 20.

Abstract

Structural changes to neighbourhoods that promote walking are likely to benefit everyone in a community and result in long-term improvements in the population's physical activity and health. We consider time spent walking in relation to objectively measured features of people's local environments (functionality, safety, destinations and aesthetics) in Melbourne, Australia. We used multilevel ordered logistic regression analysis to examine variations in time spent walking amongst 2334 residents of 49 small areas (Census Collection Districts - CCDs). Features on each street segment within a 400 m radius of a randomly selected household within each CCD were measured, supplemented by geographic information system data. Models were adjusted for socio-demographic and socio-economic characteristics of individual and socio-economic characteristics of areas. We found that increasing track length, having paths located closer to roads, fewer buildings with driveways, a greater presence and variety of destinations and views of shops, light industry, offices and/or schools (commercial views) were associated with more time spent walking in local environments in adjusted models. As such, each of the four features of local environments considered (design, safety, destinations and aesthetics) were associated on at least one measure with walking. Characteristics of areas reflecting urbanisation (destinations, commercial views, path location and driveways) were associated with increased time spent walking. This study provides important evidence on how urban design can be utilised to improve physical activity.

摘要

促进步行的邻里结构变化可能使社区中的每个人受益,并使人口的身体活动和健康状况得到长期改善。我们考虑了在澳大利亚墨尔本,人们在当地环境中的功能、安全、目的地和美观等客观测量特征与步行时间的关系。我们使用多层次有序逻辑回归分析,研究了 49 个小区域(人口普查收集区 - CCD)的 2334 名居民中步行时间的变化。在每个 CCD 中,从每个家庭中随机选择一个家庭的 400 米半径内的每个街道段上都测量了特征,同时还补充了地理信息系统数据。模型调整了个人的社会人口统计学和社会经济特征以及区域的社会经济特征。我们发现,在调整后的模型中,增加轨道长度、使道路附近的路径、较少的带车道的建筑物、更多的目的地和更多的商店、轻工业、办公室和/或学校(商业景观)的存在和多样性与在当地环境中花费更多的步行时间有关。因此,在考虑的四个环境特征(设计、安全、目的地和美学)中,每个特征都至少在一个指标上与步行有关。反映城市化的区域特征(目的地、商业景观、路径位置和车道)与增加的步行时间有关。这项研究提供了关于如何利用城市设计来改善身体活动的重要证据。

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