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特定观察空间缓冲区的国际比较:最大化估计身体活动的能力。

International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity.

作者信息

Frank Lawrence D, Fox Eric H, Ulmer Jared M, Chapman James E, Kershaw Suzanne E, Sallis James F, Conway Terry L, Cerin Ester, Cain Kelli L, Adams Marc A, Smith Graham R, Hinckson Erica, Mavoa Suzanne, Christiansen Lars B, Hino Adriano Akira F, Lopes Adalberto A S, Schipperijn Jasper

机构信息

Health and Community Design Lab, Schools of Population and Public Health and Community and Regional Planning, University of British Columbia, Vancouver, BC, Canada.

Urban Design 4 Health, Inc., Rochester, NY, USA.

出版信息

Int J Health Geogr. 2017 Jan 23;16(1):4. doi: 10.1186/s12942-017-0077-9.

Abstract

BACKGROUND

Advancements in geographic information systems over the past two decades have increased the specificity by which an individual's neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buffering methods compared in measuring a set of commonly used built environment measures (BEMs) and tested their performance on associations with physical activity outcomes.

METHODS

An internationally-developed set of objective BEMs using three different spatial buffering techniques were used to evaluate the relative differences in resulting explanatory power on self-reported physical activity outcomes. BEMs were developed in five countries using 'sausage,' 'detailed-trimmed,' and 'detailed,' network buffers at a distance of 1 km around participant household addresses (n = 5883).

RESULTS

BEM values were significantly different (p < 0.05) for 96% of sausage versus detailed-trimmed buffer comparisons and 89% of sausage versus detailed network buffer comparisons. Results showed that BEM coefficients in physical activity models did not differ significantly across buffering methods, and in most cases BEM associations with physical activity outcomes had the same level of statistical significance across buffer types. However, BEM coefficients differed in significance for 9% of the sausage versus detailed models, which may warrant further investigation.

CONCLUSIONS

Results of this study inform the selection of spatial buffering methods to estimate physical activity outcomes using an internationally consistent set of BEMs. Using three different network-based buffering methods, the findings indicate significant variation among BEM values, however associations with physical activity outcomes were similar across each buffering technique. The study advances knowledge by presenting consistently assessed relationships between three different network buffer types and utilitarian travel, sedentary behavior, and leisure-oriented physical activity outcomes.

摘要

背景

在过去二十年中,地理信息系统的进步提高了在空间上定义个人邻里环境以进行身体活动和健康研究的特异性。本研究调查了不同类型的街道网络缓冲方法在测量一组常用的建成环境指标(BEMs)方面的比较情况,并测试了它们在与身体活动结果关联方面的表现。

方法

使用一套国际开发的客观BEMs,采用三种不同的空间缓冲技术,来评估在自我报告的身体活动结果方面所产生的解释力的相对差异。在五个国家使用“香肠”、“详细修剪”和“详细”网络缓冲区,围绕参与者家庭住址(n = 5883)在1公里的距离内开发BEMs。

结果

在96%的香肠缓冲区与详细修剪缓冲区比较以及89%的香肠缓冲区与详细网络缓冲区比较中,BEM值存在显著差异(p < 0.05)。结果表明,身体活动模型中的BEM系数在不同缓冲方法之间没有显著差异,并且在大多数情况下,BEM与身体活动结果的关联在不同缓冲区类型中具有相同水平的统计显著性。然而,在9%的香肠模型与详细模型比较中,BEM系数的显著性存在差异,这可能值得进一步研究。

结论

本研究结果为使用一套国际一致的BEMs来估计身体活动结果时选择空间缓冲方法提供了参考。使用三种不同的基于网络的缓冲方法,研究结果表明BEM值之间存在显著差异,然而每种缓冲技术与身体活动结果的关联是相似的。该研究通过呈现三种不同网络缓冲区类型与功利性出行、久坐行为和休闲导向的身体活动结果之间经一致评估的关系,推进了相关知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1459/5259997/834d2f705cd6/12942_2017_77_Fig1_HTML.jpg

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