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邻里定义如何影响建成环境与身体活动之间的关联?

How Do Neighbourhood Definitions Influence the Associations between Built Environment and Physical Activity?

机构信息

SHORE and Whariki Research Centre, School of Public Health, Massey University, P.O. Box 6137, Auckland 1141, New Zealand.

Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.

出版信息

Int J Environ Res Public Health. 2019 Apr 28;16(9):1501. doi: 10.3390/ijerph16091501.

Abstract

Researchers investigating relationships between the neighbourhood environment and health first need to decide on the spatial extent of the neighbourhood they are interested in. This decision is an important and ongoing methodological challenge since different methods of defining and delineating neighbourhood boundaries can produce different results. This paper explores this issue in the context of a New Zealand-based study of the relationship between the built environment and multiple measures of physical activity. Geographic information systems were used to measure three built environment attributes-dwelling density, street connectivity, and neighbourhood destination accessibility-using seven different neighbourhood definitions (three administrative unit boundaries, and 500, 800, 1000- and 1500-m road network buffers). The associations between the three built environment measures and five measures of physical activity (mean accelerometer counts per hour, percentage time in moderate-vigorous physical activity, self-reported walking for transport, self-reported walking for recreation and self-reported walking for all purposes) were modelled for each neighbourhood definition. The combination of the choice of neighbourhood definition, built environment measure, and physical activity measure determined whether evidence of an association was detected or not. Results demonstrated that, while there was no single ideal neighbourhood definition, the built environment was most consistently associated with a range of physical activity measures when the 800-m and 1000-m road network buffers were used. For the street connectivity and destination accessibility measures, associations with physical activity were less likely to be detected at smaller scales (less than 800 m). In line with some previous research, this study demonstrated that the choice of neighbourhood definition can influence whether or not an association between the built environment and adults' physical activity is detected or not. This study additionally highlighted the importance of the choice of built environment attribute and physical activity measures. While we identified the 800-m and 1000-m road network buffers as the neighbourhood definitions most consistently associated with a range of physical activity measures, it is important that researchers carefully consider the most appropriate type of neighbourhood definition and scale for the particular aim and participants, especially at smaller scales.

摘要

研究人员在研究邻里环境与健康之间的关系时,首先需要确定他们感兴趣的邻里范围的空间范围。这一决策是一个重要且持续存在的方法学挑战,因为邻里边界的不同定义和划定方法可能会产生不同的结果。本文以新西兰一项关于建筑环境与多种身体活动测量指标之间关系的研究为例,探讨了这一问题。地理信息系统用于使用七种不同的邻里定义(三个行政单位边界以及 500、800、1000-和 1500 米道路网络缓冲区)来测量三个建筑环境属性——住宅密度、街道连通性和邻里目的地可达性。然后,对每个邻里定义,将三种建筑环境措施与五种身体活动测量指标(平均加速度计每小时计数、中等至剧烈体力活动的时间百分比、自我报告的交通步行、自我报告的娱乐性步行和自我报告的所有目的步行)之间的关联进行建模。邻里定义、建筑环境措施和身体活动措施的选择组合决定了是否检测到关联的证据。结果表明,虽然没有一个单一的理想邻里定义,但当使用 800 米和 1000 米道路网络缓冲区时,建筑环境与一系列身体活动指标最一致地相关。对于街道连通性和目的地可达性指标,在较小的范围内(小于 800 米),与身体活动的关联不太可能被检测到。与一些先前的研究一致,本研究表明,邻里定义的选择会影响是否检测到建筑环境与成年人身体活动之间的关联。本研究还强调了选择建筑环境属性和身体活动措施的重要性。虽然我们确定了 800 米和 1000 米道路网络缓冲区是与一系列身体活动指标最一致相关的邻里定义,但研究人员在选择最适合特定目标和参与者的邻里定义和范围时,特别是在较小的范围内,需要仔细考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3795/6540146/ed6c12c9de7d/ijerph-16-01501-g001.jpg

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