Neighborhood Walkability and Body Mass Index Trajectories

Longitudinal Study of Canadians

Dados Bibliográficos

ID11031270
AutoresRania Wasfi (0000-0002-8605-1540, McGill University), Rania A Wasfi (Rania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.), Kaberi Dasgupta (0000-0002-2447-3553, Rania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.), Heather Orpana (0000-0001-9982-981X, Rania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.), Nancy A Ro (0000-0001-7147-1000, McGill University), NANCY A ROSS (Rania A. Wasfi is with the Department of Geography, McGill University, Montreal, Quebec. Kaberi Dasgupta is with the Department of Medicine, Division of Internal Medicine, Clinical Epidemiology, and Endocrinology and Metabolism, McGill University. Heather Orpana is with the School of Psychology, University of Ottawa, Ottawa, Ontario. Nancy A. Ross is with the Department of Geography and Department of Epidemiology and Biostatistics, McGill University.)
Ano2016
Volume106
Fascículo5
Páginas934-940
Data de publicação2016-05-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoAmerican Journal of Public Health (JOURNAL)
Identificadores do periódicoISSN: 0090-0036 • E-ISSN: 1541-0048
EditoraAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2016.303096
PMID26985612
OpenAlexW2311762804
IdiomaEN
Citações recebidas20
Referências citadas31

Objectives. To assess the impact of neighborhood walkability on body mass index (BMI) trajectories of urban Canadians. Methods. Data are from Canada’s National Population Health Survey (n = 2935; biannual assessments 1994–2006). We measured walkability with the Walk Score. We modeled body mass index (BMI, defined as weight in kilograms divided by the square of height in meters [kg/m 2 ]) trajectories as a function of Walk Score and sociodemographic and behavioral covariates with growth curve models and fixed-effects regression models. Results. In men, BMI increased annually by an average of 0.13 kg/m 2 (95% confidence interval [CI] = 0.11, 0.14) over the 12 years of follow-up. Moving to a high-walkable neighborhood (2 or more Walk Score quartiles higher) decreased BMI trajectories for men by approximately 1 kg/m 2 (95% CI = −1.16, −0.17). Moving to a low-walkable neighborhood increased BMI for men by approximately 0.45 kg/m 2 (95% CI = 0.01, 0.89). There was no detectable influence of neighborhood walkability on body weight for women. Conclusions. Our study of a large sample of urban Canadians followed for 12 years confirms that neighborhood walkability influences BMI trajectories for men, and may be influential in curtailing male age-related weight gain

Body mass index · Confidence interval · Environmental health · National Health and Nutrition Examination Survey · Overweight · Physical activity · Physical therapy · Population · Quartile · Regression analysis · Statistics · Walkability · Demography · Health disparities and outcomes · Internal Medicine · Mathematics · Medicine · Physical Activity and Health · Urban Transport and Accessibility · Gerontology