The Independent Associations between Walk Score® and Neighborhood Socioeconomic Status, Waist Circumference, Waist-To-Hip Ratio and Body Mass Index Among Urban Adults.

Background: Environmental and policy factors can influence weight status via facilitating or discouraging physical activity and healthy diet. Despite mixed evidence, some findings suggest that the neighborhood built environment, including “walkability”, is associated with overweight and obesity. Most of these findings have measured body mass index (BMI), yet other weight status measures including waist circumference (WC) and waist-to-hip (W-H) ratio are also predictive of health outcomes, independent of BMI. Our study aim was to estimate the associations between walkability, measured using Walk Score®, and each of WC, W-H ratio, and BMI among urban Canadian adults. Methods: In 2014, n = 851 adults recruited from 12 structurally and socioeconomic diverse neighborhoods (Calgary, Alberta, Canada) provided complete data on a physical activity, health and demographic questionnaire and self-reported anthropometric measures (i.e., height and weight, WC and hip circumference). Anthropometric data were used to estimate WC, W-H ratio, and BMI which were categorized into low and high risk in relation to their potential adverse effect on health. WC and BMI were also combined to provide a proxy measure of both overall and abdominal adiposity. Multivariable logistic regression models estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between each weight status outcome and Walk Score®. Results: A one-unit increase in Walk Score® was associated with lower odds of being high-risk based on WC (OR = 0.99; 95%CI 0.97⁻0.99). Notably, those residing in socioeconomically disadvantage neighborhoods had significantly higher odds of being high risk based on WC, BMI, and WC-BMI combined compared with advantaged neighborhoods. Conclusions: Interventions that promote healthy weight through the design of neighborhoods that support and enhance the effect of physical activity and diet-related interventions could have a significant population health impact.

Interactions between Neighbourhood Urban Form and Socioeconomic Status and Their Associations with Anthropometric Measurements in Canadian Adults.

Neighbourhood-level socioeconomic composition and built context are correlates of weight-related behaviours. We investigated the relations between objective measures of neighbourhood design and socioeconomic status (SES) and their interaction, in relation to self-reported waist circumference (WC), waist-to-hip ratio, and body mass index (BMI) in a sample of Canadian adults (n = 851 from 12 Calgary neighbourhoods). WC and BMI were higher among residents of disadvantaged neighbourhoods, independent of neighbourhood design (grid, warped grid, and curvilinear street patterns) and individual-level characteristics (sex, age, education, income, dog ownership, marital status, number of dependents, motor vehicle access, smoking, sleep, mental health, physical health, and past attempts to modify bodyweight). The association between neighbourhood-level SES and WC was modified by neighbourhood design; WC was higher in disadvantaged-curvilinear neighbourhoods and lower in advantaged-grid neighbourhoods. Policies making less obesogenic neighbourhoods affordable to low socioeconomic households and that improve the supportiveness for behaviours leading to healthy weight in low socioeconomic neighbourhoods are necessary.

Associations between the neighbourhood food environment, neighbourhood socioeconomic status, and diet quality: An observational study.

BACKGROUND: The neighbourhood environment may play an important role in diet quality. Most previous research has examined the associations between neighbourhood food environment and diet quality, and neighbourhood socioeconomic status and diet quality separately. This study investigated the independent and joint effects of neighbourhood food environment and neighbourhood socioeconomic status in relation to diet quality in Canadian adults. METHODS: We undertook a cross-sectional study with n = 446 adults in Calgary, Alberta (Canada). Individual-level data on diet and socio-demographic and health-related characteristics were captured from two self-report internet-based questionnaires, the Canadian Diet History Questionnaire II (C-DHQ II) and the Past Year Physical Activity Questionnaire (PAQ). Neighbourhood environment data were derived from dissemination area level Canadian Census data, and Geographical Information Systems (GIS) databases. Neighbourhood was defined as a 400 m network-based 'walkshed' around each participant's household. Using GIS we objectively-assessed the density, diversity, and presence of specific food destination types within the participant's walkshed. A seven variable socioeconomic deprivation index was derived from Canadian Census variables and estimated for each walkshed. The Canadian adapted Healthy Eating Index (C-HEI), used to assess diet quality was estimated from food intakes reported on C-DHQ II. Multivariable linear regression was used to test for associations between walkshed food environment variables, walkshed socioeconomic status, and diet quality (C-HEI), adjusting for individual level socio-demographic and health-related covariates. Interaction effects between walkshed socioeconomic status and walkshed food environment variables on diet quality (C-HEI) were also tested. RESULTS: After adjustment for covariates, food destination density was positively associated with the C-HEI (ß 0.06, 95 % CI 0.01-0.12, p = 0.04) though the magnitude of the association was small. Walkshed socioeconomic status was not significantly associated with the C-HEI. We found no statistically significant interactions between walkshed food environment variables and socioeconomic status in relation to the C-HEI. Self-reported physical and mental health, time spent in neighbourhood, and dog ownership were also significantly (p < .05) associated with diet quality. CONCLUSIONS: Our findings suggest that larger density of local food destinations may is associated with better diet quality in adults.

Subpopulation differences in the association between neighborhood urban form and neighborhood-based physical activity.

This study investigated whether associations between the neighborhood built environment and neighborhood-based physical activity (PA) varied by sociodemographic and health-related characteristics. A random sample of adults (n=2006) completed telephone- and self-administered questionnaires. Questionnaires captured PA, sociodemographic, and health-related characteristics. Neighborhood-based PA (MET-minutes/week) was compared across low, medium, and high walkable neighborhoods for each sociodemographic (sex, age, dependents, education, income, motor vehicle access, and dog ownership) and health-status (general health and weight status) subpopulation. With few exceptions, subpopulations residing in high walkable neighborhoods undertook more (p<0.05) neighborhood-based PA than their counterparts in less walkable neighborhoods. Improving neighborhood walkability is a potentially effective population health intervention for increasing neighborhood-based PA.

The relationship between cluster-analysis derived walkability and local recreational and transportation walking among Canadian adults.

We investigated the association between objectively-assessed neighborhood walkability and local walking among adults. Two independent random cross-sectional samples of Calgary (Canada) residents were recruited. Neighborhood-based walking, attitude towards walking, neighborhood self-selection, and socio-demographic characteristics were captured. Built environmental attributes underwent a two-staged cluster analysis which identified three neighborhood types (HW: high walkable; MW: medium walkable; LW: low walkable). Adjusting for all other characteristics, MW (OR 1.40, p < 0.05) and HW (OR 1.34, approached p < 0.05) neighborhood residents were more likely than LW neighborhood residents to participate in neighborhood-based transportation walking. HW neighborhood residents spent 30-min/wk more on neighborhood-based transportation walking than both LW and MW neighborhood residents. MW neighborhood residents spent 14-min/wk more on neighborhood-based recreational walking than LW neighborhood residents. Neighborhoods with a highly connected pedestrian network, large mix of businesses, high population density, high access to sidewalks and pathways, and many bus stops support local walking.