Residential self-selection,perceived built environment and type 2 diabetes incidence: A longitudinal analysis of 36,224 middle to older age adults |
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| Affiliation: | 1. Population Wellbeing and Environment Research Lab, School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia;2. Menzies Centre for Health Policy, University of Sydney, Sydney, New South Wales Australia;3. School of Public Health, Peking Union Medical College and The Chinese Academy of Medical Sciences, Beijing, China;1. Children’s Mercy Hospital, 610 E. 22nd St., Kansas City, MO 64108, USA;2. University of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093, USA;3. Arizona State University, 500 N. Third St., Phoenix, AZ 85006, USA;1. Department of Environmental Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand;2. Department of Environmental Health Sciences, Faculty of Public Health, Mahidol University, Bangkok, Thailand;3. Department of Hygiene, Graduate School of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan;4. Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan;5. Graduate School of Global Environmental Sciences, Kyoto University, Kyoto, Japan;6. Department of Global Health, Research School of Population Health, Australian National University, Canberra, Australia;7. School of Human Ecology, Sukhothai Thammathirat Open University, Nonthaburi, Thailand;1. Department of Human Geography and Planning, Utrecht University, The Netherlands;2. Copernicus Institute of Sustainable Development, Utrecht University, The Netherlands;3. The Center for Modern Chinese city Studies&School of Urban and Regional Science, East China Normal University, Shanghai 200241, China;1. Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States;2. Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States;3. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States;4. Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States |
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| Abstract: | Much of the existing studies on the built environment and type 2 diabetes are cross-sectional and prone to residential self-selection bias. Using multilevel logistic regression analysis of 36,224 participants from a longitudinal study, we examined whether perceived built environment characteristics are associated with type 2 diabetes. We found that the odds of diabetes incidence varied geographically. Those who reported that there were no local amenities and reported day- and night-time crime rates made walking unsafe in the neighbourhood had higher odds of developing incident type 2 diabetes. These associations persisted after accounting for some predictors of residential self-selection. More longitudinal studies are needed to corroborate the findings. Changing the features of the residential built environment may be an important point of intervention for type 2 diabetes prevention. |
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| Keywords: | Built environment Diabetes Crime Amenities Public transit Residential self-selection |
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