Body mass index, neighborhood fast food and restaurant concentration, and car ownership.

Body mass index, neighborhood fast food and restaurant concentration, and car ownership.
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DOI:
10.1007/s11524-009-9379-y
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发表时间:
2009-09
影响因子:
6.6
通讯作者:
Asch, Steven M.
Asch, Steven M.
中科院分区:
医学2区
文献类型:
--
作者:
Inagami, Sanae;Cohen, Deborah A.;Brown, Arleen F.;Asch, Steven M.

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外出就餐,特别是快餐消费已被证明有助于体重增加。快餐店和其他餐馆的地理位置增加可能会导致更高的肥胖水平,特别是在很大程度上依赖当地环境购买食物的个人中。我们研究了快餐和餐馆的浓度是否与体重指数有关,以及汽车拥有量是否会缓和这种关联。我们将2000年美国人口普查数据以及快餐店和其他餐馆的位置信息与洛杉矶家庭和邻里研究数据库联系起来,该数据库由来自洛杉矶县63个社区的2,156名成年人组成。多层次模型被用来估计身体质量指数(BMI),快餐和餐馆的集中度,汽车拥有量调整后的个人层面的因素和居民区的社会经济特征之间的关联。当地餐馆的高度集中与BMI有关。有车的人比没有车的人有更高的BMI;然而,没有汽车并且居住在快餐店高度集中的地区的人比居住在没有快餐店的地区的无车的人有更高的BMI,对于身高为5英尺的人来说,大约多12磅(p = 0.02)。5 in.餐馆密度越高,当地居民的BMI越高。对于没有汽车的当地居民来说,当地的快餐环境与BMI有更强的关联。
Eating away from home and particularly fast food consumption have been shown to contribute to weight gain. Increased geographic access to fast food outlets and other restaurants may contribute to higher levels of obesity, especially in individuals who rely largely on the local environment for their food purchases. We examined whether fast food and restaurant concentrations are associated with body mass index and whether car ownership might moderate this association. We linked the 2000 US Census data and information on locations of fast food and other restaurants with the Los Angeles Family and Neighborhood Study database, which consists of 2,156 adults sampled from 63 neighborhoods in Los Angeles County. Multilevel modeling was used to estimate associations between body mass index (BMI), fast food and restaurant concentration, and car ownership after adjustment for individual-level factors and socioeconomic characteristics of residential neighborhoods. A high concentration of local restaurants is associated with BMI. Car owners have higher BMIs than non-car owners; however, individuals who do not own cars and reside in areas with a high concentration of fast food outlets have higher BMIs than non-car owners who live in areas with no fast food outlets, approximately 12 lb more (p = 0.02) for an individual with a height of 5 ft. 5 in. Higher restaurant density is associated with higher BMI among local residents. The local fast food environment has a stronger association with BMI for local residents who do not have access to cars.
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