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加拿大成年人中餐馆密度与体重指数之间关联的空间分析。

A spatial analysis of the association between restaurant density and body mass index in Canadian adults.

机构信息

Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, University of Western Ontario, Canada.

出版信息

Prev Med. 2013 Oct;57(4):258-64. doi: 10.1016/j.ypmed.2013.07.002. Epub 2013 Jul 13.

Abstract

OBJECTIVE

To investigate the association between fast-food restaurant density and adult body mass index (BMI) in Canada.

METHODS

Individual-level BMI and confounding variables were obtained from the 2007-2008 Canadian Community Health Survey master file. Locations of the fast-food and full-service chain restaurants and other non-chain restaurants were obtained from the 2008 Infogroup Canada business database. Food outlet density (fast-food, full-service and other) per 10,000 population was calculated for each Forward Sortation Area (FSA). Global (Moran's I) and local indicators of spatial autocorrelation of BMI were assessed. Ordinary least squares (OLS) and spatial auto-regressive error (SARE) methods were used to assess the association between local food environment and adult BMI in Canada.

RESULTS

Global and local spatial autocorrelation of BMI were found in our univariate analysis. We found that OLS and SARE estimates were very similar in our multivariate models. An additional fast-food restaurant per 10,000 people at the FSA-level is associated with a 0.022kg/m(2) increase in BMI. On the other hand, other restaurant density is negatively related to BMI.

CONCLUSIONS

Fast-food restaurant density is positively associated with BMI in Canada. Results suggest that restricting availability of fast-food in local neighborhoods may play a role in obesity prevention.

摘要

目的

研究加拿大快餐店密度与成人体重指数(BMI)之间的关系。

方法

从 2007-2008 年加拿大社区健康调查主文件中获得个体 BMI 和混杂变量。从 2008 年 Infogroup Canada 商业数据库中获取快餐店和全服务连锁店餐厅以及其他非连锁店餐厅的位置。为每个前向排序区(FSA)计算每 10000 人口的食品店密度(快餐店、全服务和其他)。评估 BMI 的全局(Moran's I)和局部空间自相关指标。使用普通最小二乘法(OLS)和空间自回归误差(SARE)方法评估加拿大当地食物环境与成人 BMI 之间的关系。

结果

在单变量分析中发现了 BMI 的全局和局部空间自相关。在多变量模型中,OLS 和 SARE 估计值非常相似。在 FSA 层面上,每增加 10000 人一家快餐店,BMI 增加 0.022kg/m2。另一方面,其他餐厅密度与 BMI 呈负相关。

结论

加拿大快餐店密度与 BMI 呈正相关。结果表明,限制当地社区快餐的供应可能在预防肥胖方面发挥作用。

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