Association between neighbourhood fast-food and full-service restaurant density and body mass index: A cross-sectional study of Canadian adults

被引:28
|
作者
Hollands, Simon [1 ]
Campbell, M. Karen [1 ,2 ,3 ,4 ]
Gilliland, Jason [3 ,4 ,5 ,6 ]
Sarma, Sisira [1 ]
机构
[1] Univ Western Ontario, Schulich Sch Med & Dent, Dept Epidemiol & Biostat, London, ON N6A 5C1, Canada
[2] Univ Western Ontario, Schulich Sch Med & Dent, Dept Obstet & Gynecol, London, ON N6A 5C1, Canada
[3] Univ Western Ontario, Schulich Sch Med & Dent, Dept Paediat, London, ON N6A 5C1, Canada
[4] Lawson Hlth Res Inst, Childrens Hlth Res Inst, London, ON, Canada
[5] Univ Western Ontario, Dept Geog, London, ON N6A 5C1, Canada
[6] Univ Western Ontario, Sch Hlth Studies, London, ON N6A 5C1, Canada
基金
加拿大健康研究院;
关键词
Obesity; fast foods; body mass index; environment and public health; BUILT ENVIRONMENT; WEIGHT STATUS; OBESITY; PREVALENCE; AVAILABILITY; OVERWEIGHT; OUTLETS; ACCESS;
D O I
10.17269/cjph.105.4287
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
OBJECTIVE: Frequent fast-food consumption is a well-known risk factor for obesity. This study sought to determine whether the availability of fast-food restaurants has an influence on body mass index (BMI). METHODS: BMI and individual-level confounding variables were obtained from the 2007-08 Canadian Community Health Survey. Neighbourhood socio-demographic variables were acquired from the 2006 Canadian Census. The geographic locations of all restaurants in Canada were assembled from a validated business registry database. The density of fast-food, full-service and non-chain restaurants per 10,000 individuals was calculated for respondents' forward sortation area. Multivariable regression analyses were conducted to analyze the association between restaurant density and BMI. RESULTS: Fast-food, full-service and non-chain restaurant density variables were statistically significantly associated with BMI. Fast-food density had a positive association whereas full-service and non-chain restaurant density had a negative association with BMI (additional 10 fast-food restaurants per capita corresponded to a weight increase of 1 kilogram; p<0.001). These associations were primarily found in Canada's major urban jurisdictions. CONCLUSIONS: This research was the first to investigate the influence of fast-food and full-service restaurant density on BMI using individual-level data from a nationally representative Canadian survey. The finding of a positive association between fast-food restaurant density and BMI suggests that interventions aiming to restrict the availability of fast-food restaurants in local neighbourhoods may be a useful obesity prevention strategy.
引用
收藏
页码:E172 / E178
页数:7
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