2014
DOI: 10.17269/cjph.105.4287
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Association between neighbourhood fast-food and full-service restaurant density and body mass index: A cross-sectional study of Canadian adults

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Cited by 37 publications
(44 citation statements)
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“…It has been previously demonstrated that there is a higher concentration of particulate matter in the Hunter Valley compared to the metropolitan areas . Other factors, such as higher density of fast‐food outlets, may also be implicated in the differences identified in our study. The contribution of all these potential contributors requires further investigation and will be necessary for future planning for the healthcare system.…”
Section: Discussionsupporting
confidence: 52%
“…It has been previously demonstrated that there is a higher concentration of particulate matter in the Hunter Valley compared to the metropolitan areas . Other factors, such as higher density of fast‐food outlets, may also be implicated in the differences identified in our study. The contribution of all these potential contributors requires further investigation and will be necessary for future planning for the healthcare system.…”
Section: Discussionsupporting
confidence: 52%
“…Therefore, even if there were a true relationship between food environments and dietary or health outcomes, the use of city-specific food environment data in Canadian studies would diminish the magnitude of the relationship. Moreover, the lack of rural food environments research in Canada (with a few notable exceptions 54,55 ) is a major limitation, given that one in five Canadians live in rural areas 55 and that rural Canadians are at a health disadvantage compared with their urban counterparts [56][57][58] and have poorer diets, which may be in part explained by poor access to resources. 57 Future research should therefore explicitly consider rural retail food environments and should be conducted at a functional region (city-region or multiple municipalities of different sizes within an economic corridor) or provincial level, in addition to examining their associations with diet and anthropometric or health-related outcomes.…”
Section: Key Findingsmentioning
confidence: 99%
“…9 For example, a recent national study observed a positive association between mean body mass index (BMI) and a greater number of chain FFR within large administrative areas, and a negative association for other restaurant types. 10 Other studies using smaller geographic levels (e.g., the number of FFR within walking distance of residential areas) found no association or results in the opposite direction. [11][12][13] Measures of FFR exposure also vary widely across studies (e.g., absolute numbers or density of outlets, proximity to outlets), and most studies on the topic are cross-sectional, which limits any conclusions about causality.…”
mentioning
confidence: 93%