» Articles » PMID: 17267734

Body Mass Index in Urban Canada: Neighborhood and Metropolitan Area Effects

Overview
Specialty Public Health
Date 2007 Feb 3
PMID 17267734
Citations 51
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: We investigated the influence of neighborhood and metropolitan area characteristics on body mass index (BMI) in urban Canada in 2001.

Methods: We conducted a multilevel analysis with data collected from a cross-sectional survey of men and women nested in neighborhoods and metropolitan areas in urban Canada during 2001.

Results: After we controlled for individual sociodemographic characteristics and behaviors, the average BMIs of residents of neighborhoods in which a large proportion of individuals had less than a high school education were higher than those BMIs of residents in neighborhoods with small proportions of such individuals (P< .01). Living in a neighborhood with a high proportion of recent immigrants was associated with lower BMI for men (P<.01), but not for women. Neighborhood dwelling density was not associated with BMI for either gender. Metropolitan sprawl was associated with higher BMI for men (P=.02), but the effect was not significant for women (P= .09).

Conclusions: BMI is strongly patterned by an individual's social position in urban Canada. A neighborhood's social condition has an incremental influence on the average BMI of its residents. However, BMI is not influenced by dwelling density. Metropolitan sprawl is associated with higher BMI for Canadian men, which supports recent evidence of this same association among American men. Individuals and their environments collectively influence BMI in urban Canada.

Citing Articles

Impacts of commute mode on body mass index: A longitudinal analysis before and during the COVID-19 pandemic.

Commers G, Victoriano-Habit R, Rodrigue L, Kestens Y, El-Geneidy A J Transp Health. 2023; 30:101615.

PMID: 37096134 PMC: 10099220. DOI: 10.1016/j.jth.2023.101615.


Dietary Intake and the Neighbourhood Environment in the BC Generations Project.

Murphy R, Kuczynski G, Bhatti P, Dummer T Nutrients. 2022; 14(22).

PMID: 36432566 PMC: 9695357. DOI: 10.3390/nu14224882.


Assessing Trade-Offs and Optimal Ranges of Density for Life Expectancy and 12 Causes of Mortality in Metro Vancouver, Canada, 1990-2016.

Yu J, Gustafson P, Tran M, Brauer M Int J Environ Res Public Health. 2022; 19(5).

PMID: 35270597 PMC: 8910136. DOI: 10.3390/ijerph19052900.


Disentangling the Drivers of Obesity: An Analytical Framework Based on Socioeconomic and Intrapersonal Factors.

Dogbe W, Salazar-Ordonez M, Gil J Front Nutr. 2021; 8:585318.

PMID: 33791330 PMC: 8006933. DOI: 10.3389/fnut.2021.585318.


A scoping review on the relations between urban form and health: a focus on Canadian quantitative evidence.

McCormack G, Cabaj J, Orpana H, Lukic R, Blackstaffe A, Goopy S Health Promot Chronic Dis Prev Can. 2019; 39(5):187-200.

PMID: 31091062 PMC: 6580926. DOI: 10.24095/hpcdp.39.5.03.


References
1.
Sobal J . Obesity and socioeconomic status: a framework for examining relationships between physical and social variables. Med Anthropol. 1991; 13(3):231-47. DOI: 10.1080/01459740.1991.9966050. View

2.
Egger G, Swinburn B . An "ecological" approach to the obesity pandemic. BMJ. 1997; 315(7106):477-80. PMC: 2127317. DOI: 10.1136/bmj.315.7106.477. View

3.
Ewing R, Schmid T, Killingsworth R, Zlot A, Raudenbush S . Relationship between urban sprawl and physical activity, obesity, and morbidity. Am J Health Promot. 2003; 18(1):47-57. DOI: 10.4278/0890-1171-18.1.47. View

4.
Ross N, Wolfson M, Dunn J, Berthelot J, Kaplan G, Lynch J . Relation between income inequality and mortality in Canada and in the United States: cross sectional assessment using census data and vital statistics. BMJ. 2000; 320(7239):898-902. PMC: 27328. DOI: 10.1136/bmj.320.7239.898. View

5.
Shaw M, Tunstall H, Davey Smith G . Seeing social position: visualizing class in life and death. Int J Epidemiol. 2003; 32(3):332-5. DOI: 10.1093/ije/dyg176. View