Neighborhood Fast-Food Environments and Hypertension in Canadian Adults.

INTRODUCTION: Hypertension is a leading cause of cardiovascular disease and premature death worldwide. Neighborhoods characterized by a high proportion of fast-food outlets may also contribute to hypertension in residents; however, limited research has explored these associations. This cross-sectional study assessed the associations between neighborhood fast-food environments, measured hypertension, and self-reported hypertension. METHODS: Data from 10,700 adults living in urban areas were obtained from six Canadian Health Measures Survey cycles (2007-2019). Each participant's blood pressure was measured at a mobile clinic six times. Measured hypertension was defined as having an average systolic blood pressure ≥140 or a diastolic blood pressure ≥90 mm Hg or being on blood pressure-lowering medication. Participants were also asked whether they had been diagnosed with high blood pressure or whether they take blood pressure-lowering medication (i.e., self-reported hypertension). The proportion of fast-food outlets relative to the sum of fast-food outlets and full-service restaurants in each participant's neighborhood was obtained from the Canadian Food Environment Dataset, and analyses were conducted in 2022. RESULTS: The mean proportion of fast-food outlets was 23.3% (SD=26.8%). A one SD increase in the proportion of fast-food outlets was associated with higher odds of measured hypertension in the full sample (OR=1.17, 95% CI=1.05, 1.31) and in sex-specific models (women: OR=1.14, 95% CI=1.01, 1.29; men: OR=1.21, 95% CI=1.03, 1.43). Associations between the proportion of fast-food outlets and self-reported hypertension were inconclusive. CONCLUSIONS: Findings suggest that reducing the proportion of fast-food restaurants in neighborhoods may be a factor that could help reduce hypertension rates.

A pan-Canadian dataset of neighbourhood retail food environment measures using Statistics Canada's Business Register.

BACKGROUND: The objective of this study was to create the Canadian Food Environment Dataset (Can-FED) and to demonstrate its validity. DATA AND METHODS: Food outlet data were extracted from Statistics Canada's Business Register (BR) in 2018. Retail food environment access measures (both absolute and relative measures) were calculated using network buffers around the centroid of 56,589 dissemination areas in Canada. A k-medians clustering approach was used to create categorical food environment variables that were easy to use and amenable to dissemination. Validity of the measures was assessed by comparing the food environment measures from Can-FED with measures created using Enhanced Points of Interest data by DMTI Spatial Inc. and data from a municipal health inspection list. Validity was also assessed by calculating the geographic variability in food environments across census metropolitan areas (CMAs) and assessing associations between CMA-level food environments and CMA-level health indicators. RESULTS: Two versions of Can-FED were created: a researcher file that must be accessed within a secure Statistics Canada environment and a general-use file available online. Agreement between Can-FED food environment measures and those derived from a proprietary dataset and a municipal health inspection list ranged from rs=0.28 for convenience store density and rs=0.53 for restaurant density. At the CMA level, there is wide geographic variation in the food environment with evidence of patterning by health indicators. INTERPRETATION: Can-FED is a valid and accessible dataset of pan-Canadian food environment measures that was created from the BR, a data source that has not been explored fully for health research.

Neighbourhood retail food outlet access, diet and body mass index in Canada: a systematic review. / Accès aux points de vente d'aliments au détail de proximité, alimentation et indice de masse corporelle au Canada : revue systématique.

INTRODUCTION: There is growing interest in the role of food environments in suboptimal diet and overweight and obesity. This review assesses the evidence for the link between the retail food environment, diet quality and body mass index (BMI) in the Canadian population. METHODS: We conducted a systematic keyword search in two bibliometric databases. We tabulated proportions of conclusive associations for each outcome and exposure of interest. Absolute and relative measures of exposure to the food environment were compared and theoretical framing of the associations noted. We assessed two key methodological issues identified a priori-measurement of BMI, and validation of the underlying retail food environment data. RESULTS: Seventeen studies were included in the review. There was little evidence of a food environment-diet quality relationship and modest evidence of a food environment-BMI relationship. Relative measures of the food environment were more often associated with an outcome in the expected direction than absolute measures, but many results were inconclusive. Most studies adopted ecological theoretical frameworks but methodologies were similar regardless of stated theoretical approaches. Self-reported BMI was common and there was no "gold standard" database of food outlets nor a consensus on best ways to validate the data. CONCLUSION: There was limited evidence of a relationship between the food environment and diet quality, but stronger evidence of a relationship between the food environment and BMI for Canadians. Studies with broad geographic scope that adopt innovative methods to measure diet and health outcomes and use relative measures of the food environment derived in geographic information systems are warranted. Consensus on a gold standard food environment database and approaches to its validation would also advance the field.