Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain
| العنوان: | Does the built environment have independent obesogenic power? Urban form and trajectories of weight gain |
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| المؤلفون: | James Buszkiewicz, Paula Lozano, Anne Vernez Moudon, Jane Anau, Adam Drewnowski, Maricela Cruz, Mary Kay Theis, David Arterburn, Shilpi Gupta, Andrea J. Cook, Stephen J. Mooney, Philip M. Hurvitz, Dori E. Rosenberg, Jennifer F. Bobb |
| المصدر: | International journal of obesity (2005) |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Adult, Male, obesity, Adolescent, Urban Population, Endocrinology, Diabetes and Metabolism, Population, Medicine (miscellaneous), 030209 endocrinology & metabolism, Article, 03 medical and health sciences, 0302 clinical medicine, electronic medical records, medicine, Humans, 030212 general & internal medicine, education, Built environment, geographic information systems, education.field_of_study, Nutrition and Dietetics, Weight change, Regression analysis, Middle Aged, medicine.disease, built environment, Obesity, Geography, Cohort, Regression Analysis, Body-Weight Trajectory, Female, medicine.symptom, Body mass index, Weight gain, Demography |
| الوصف: | Objective: To determine whether selected features of the built environment can predict weight gain in a large longitudinal cohort of adults. Methods: Weight trajectories over a 5-year period were obtained from electronic health records for 115,260 insured patients aged 18–64 years in the Kaiser Permanente Washington health care system. Home addresses were geocoded using ArcGIS. Built environment variables were population, residential unit, and road intersection densities captured using Euclidean-based SmartMaps at 800-meter buffers. Counts of area supermarkets and fast food restaurants were obtained using network-based SmartMaps at 1,600, and 5,000-meter buffers. Property values were a measure of socioeconomic status. Linear mixed effects models tested whether built environment variables at baseline were associated with long-term weight gain, adjusting for sex, age, race/ethnicity, Medicaid insurance, body weight, and residential property values. Results: Built environment variables at baseline were associated with differences in baseline obesity prevalence and body mass index but had limited impact on weight trajectories. Mean weight gain for the full cohort was 0.06 kilograms at 1 year (95% CI: 0.03, 0.10); 0.64 kilograms at 3 years (95% CI: 0.59, 0.68), and 0.95 kilograms at 5 years (95% CI: 0.90, 1.00). In adjusted regression models, the top tertile of density metrics and frequency counts were associated with lower weight gain at 5 years follow-up compared to the bottom tertiles, though the mean differences in weight change for each follow-up year (1, 3, and 5) did not exceed 0.5 kilograms. Conclusion: Built environment variables that were associated with higher obesity prevalence at baseline had limited independent obesogenic power with respect to weight gain over time. Residential unit density had the strongest negative association with weight gain. Future work on the influence of built environment variables on health should also examine social context, including residential segregation and residential mobility. |
| تدمد: | 1476-5497 0307-0565 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e44231785d5b9eb05bd092f458c4a665 https://doi.org/10.1038/s41366-021-00836-z |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....e44231785d5b9eb05bd092f458c4a665 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14765497 03070565 |
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