Journal article
International comparison of observation-specific spatial buffers: Maximizing the ability to estimate physical activity
LD Frank, EH Fox, JM Ulmer, JE Chapman, SE Kershaw, JF Sallis, TL Conway, E Cerin, KL Cain, MA Adams, GR Smith, E Hinckson, S Mavoa, LB Christiansen, AAF Hino, AAS Lopes, J Schipperijn
International Journal of Health Geographics | BMC | Published : 2017
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 outco..
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Grants
Awarded by National Institutes of Health
Funding Acknowledgements
Funding for this study was made possible by a grant from National Institutes of Health (NIH) R01 CA127296. The Neighborhood Quality of Life Study (NQLS) for the US sites was supported by an NIH Grant HL67350. The UK study was funded by the Medical Research Council Grant 75376 under the National Preventive Research Initiative. Data collection in New Zealand was supported by the Health Research Council of New Zealand Grant 07/356. Funding for the study in Denmark was partially supplied by the Municipality of Aarhus. Australian data collection was supported by the National Health and Medical Research Council (NHMRC) of Australia Grant 213114. Ester Cerin is supported by an Australian Research Council Future Fellowship (FT #140100085).