Associations between the traditional and novel neighbourhood built environment metrics and weight status among Canadian men and women. 2021

Vikram Nichani, and Mohammad Javad Koohsari, and Koichiro Oka, and Tomoki Nakaya, and Ai Shibata, and Kaori Ishii, and Akitomo Yasunaga, and Liam Turley, and Gavin R McCormack
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, TRW 3rd Floor, 3280 Hospital Drive NW, Calgary, Alberta, T2N 4Z6, Canada. vikram.nichani@ucalgary.ca.

Neighbourhood characteristics can impact the health of residents. This study investigated associations between objectively derived neighbourhood characteristics, including novel space syntax metrics, and self-reported body mass index (BMI) among Canadian men and women. Our study included survey data collected from a random cross-section of adults residing in Calgary, Alberta (n = 1718). The survey, conducted in 2007/2008, captured participants' socio-demographic characteristics, health, and weight status (BMI). Participants' household postal codes were geocoded and 1600-m line-based network buffers estimated. Using a geographical information system, we estimated neighbourhood characteristics within each buffer including business destination density, street intersection density, sidewalk length, and population density. Using space syntax, we estimated street integration and walkability (street integration plus population density) within each buffer. Using adjusted regression models, we estimated associations between neighbourhood characteristics and BMI (continuous) and BMI categories (healthy weight vs. overweight including obese). Gender-stratified analysis was also performed. Business destination density was negatively associated with BMI and the odds of being overweight. Among men, street intersection density and sidewalk length were negatively associated with BMI and street intersection density, business destination density, street integration, and space syntax walkability were negatively associated with odds of being overweight. Among women, business destination density was negatively associated with BMI. Urban planning policies that impact neighbourhood design have the potential to influence weight among adults living in urban Canadian settings. Some characteristics may have a differential association with weight among men and women and should be considered in urban planning and in neighbourhood-focussed public health interventions.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012111 Residence Characteristics Elements of residence that characterize a population. They are applicable in determining need for and utilization of health services. Community,Domicile,Living Arrangements,Neighborhood,Place of Birth,Residential Selection,Arrangement, Living,Birth Place,Communities,Domiciles,Living Arrangement,Neighborhoods,Residence Characteristic
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D002958 City Planning Comprehensive planning for the physical development of the city. Town Planning,Urban Planning,City Plannings,Planning, City,Planning, Town,Planning, Urban,Plannings, City,Plannings, Town,Plannings, Urban,Town Plannings,Urban Plannings
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000076624 Built Environment The man-made physical elements of the environment (e.g., homes, buildings, streets, open spaces, and infrastructure). The built environment influences a person's level of physical activity and may have other impacts on health in a community. Built Environments
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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