International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity. Issue 1 (December 2017)

• Record Type: Journal Article
• Authors: Frank, Lawrence; Fox, Eric; Ulmer, Jared; Chapman, James; Kershaw, Suzanne; Sallis, James; Conway, Terry; Cerin, Ester; Cain, Kelli; Adams, Marc; Smith, Graham; Hinckson, Erica; Mavoa, Suzanne; Christiansen, Lars; Hino, Adriano; Lopes, Adalberto; Schipperijn, Jasper
• Is Part Of: International journal of health geographics. Volume 16:Issue 1(2017)
• Page Start: 1
• Page End: 13
• Publication Date: 2017-12
• Subjects: Network buffer -- Built environment -- Reliability -- Self-reported physical activity -- GIS methods; Geographic information systems -- Health aspects -- Periodicals; Geography -- Health aspects -- Periodicals; 614.40285
• DOI: 10.1186/s12942-017-0077-9
• Languages: English
• ISSNs: 1476-072X

Abstract

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.