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The use of kernel density estimation to examine associations between neighborhood destination intensity and walking and physical activity

King, Tania L., Thornton, Lukar E., Bentley, Rebecca J. and Kavanagh, Anne M. 2015, The use of kernel density estimation to examine associations between neighborhood destination intensity and walking and physical activity, PLoS one, vol. 10, no. 9, pp. 1-16, doi: 10.1371/journal.pone.0137402.

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Title The use of kernel density estimation to examine associations between neighborhood destination intensity and walking and physical activity
Author(s) King, Tania L.
Thornton, Lukar E.ORCID iD for Thornton, Lukar E. orcid.org/0000-0001-8759-8671
Bentley, Rebecca J.
Kavanagh, Anne M.
Journal name PLoS one
Volume number 10
Issue number 9
Start page 1
End page 16
Total pages 16
Publisher Public Library of Science (PLoS)
Place of publication San Francisco, Calif.
Publication date 2015
ISSN 1932-6203
Keyword(s) Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
BODY-MASS INDEX
BUILT ENVIRONMENT
NORTHERN CALIFORNIA
FOOD ENVIRONMENT
ADULTS
MULTILEVEL
AUSTRALIA
BEHAVIOR
GIS
DISADVANTAGE
Summary BACKGROUND: Local destinations have previously been shown to be associated with higher levels of both physical activity and walking, but little is known about how the distribution of destinations is related to activity. Kernel density estimation is a spatial analysis technique that accounts for the location of features relative to each other. Using kernel density estimation, this study sought to investigate whether individuals who live near destinations (shops and service facilities) that are more intensely distributed rather than dispersed: 1) have higher odds of being sufficiently active; 2) engage in more frequent walking for transport and recreation. METHODS: The sample consisted of 2349 residents of 50 urban areas in metropolitan Melbourne, Australia. Destinations within these areas were geocoded and kernel density estimates of destination intensity were created using kernels of 400m (meters), 800m and 1200m. Using multilevel logistic regression, the association between destination intensity (classified in quintiles Q1(least)-Q5(most)) and likelihood of: 1) being sufficiently active (compared to insufficiently active); 2) walking≥4/week (at least 4 times per week, compared to walking less), was estimated in models that were adjusted for potential confounders. RESULTS: For all kernel distances, there was a significantly greater likelihood of walking≥4/week, among respondents living in areas of greatest destinations intensity compared to areas with least destination intensity: 400m (Q4 OR 1.41 95%CI 1.02-1.96; Q5 OR 1.49 95%CI 1.06-2.09), 800m (Q4 OR 1.55, 95%CI 1.09-2.21; Q5, OR 1.71, 95%CI 1.18-2.48) and 1200m (Q4, OR 1.7, 95%CI 1.18-2.45; Q5, OR 1.86 95%CI 1.28-2.71). There was also evidence of associations between destination intensity and sufficient physical activity, however these associations were markedly attenuated when walking was included in the models. CONCLUSIONS: This study, conducted within urban Melbourne, found that those who lived in areas of greater destination intensity walked more frequently, and showed higher odds of being sufficiently physically active-an effect that was largely explained by levels of walking. The results suggest that increasing the intensity of destinations in areas where they are more dispersed; and or planning neighborhoods with greater destination intensity, may increase residents' likelihood of being sufficiently active for health.
Language eng
DOI 10.1371/journal.pone.0137402
Field of Research 110699 Human Movement and Sports Science not elsewhere classified
Socio Economic Objective 920401 Behaviour and Health
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, Public Library of Science (PLoS)
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30078963

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.