Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study
Differential associations of fast food and restaurant food consumption with 3-y change in body mass index: the Coronary Artery Risk Development in Young Adults Study
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DOI：
10.1093/ajcn/85.1.201
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发表时间：
2007-01-01
影响因子：
7.1
通讯作者：
Popkin, Barry M.
中科院分区：
文献类型：
--
作者：
Duffey, Kiyah J.;Gordon-Larsen, Penny;Popkin, Barry M.
背景：外出就餐消费迅速增加，但人们对餐饮和快餐摄入量与体重指数(BMI)和体重指数变化的独立相关性知之甚少。目的：比较餐饮和快餐消费与BMI当前和3年变化的关系。设计：在控制人口和生活方式因素的情况下，建立多元线性回归模型，结果：40%的受试者增加了每周在餐馆或快餐的消费，但平均(+/-SD)变化分别为-0.16+/-2.39次/周(P=0.0001)和-0.56+/-3.04次/周(P<；0.0001)。从横向来看，快餐而不是餐馆食品的消费与BMI呈正相关。同样，7岁时较多地食用快餐与10岁时BMI增加0.16个单位相关。在调整了外出就餐的基线后，只吃快餐(Beta：0.20；95%CI：0.01，0.39)以及餐馆食品和快餐(Beta：0.29；95%CI：0.06，0.51)的消费增加与BMI变化呈正相关，尽管估计值没有显著差异(P=0.47)。仅餐馆食物摄入量的增加与体重指数变化无关(β：-0.01；95%CI：-0.21，0.19)，与餐馆食物摄入量和快餐食物摄入量增加的估计值有显著差异(P=0.014)。结论：我们发现餐馆食物和快餐食物摄入量对体重指数的影响是不同的，尽管观察到的差异并不总是有统计学意义。需要更多的研究来确定这种差异的影响是与消费者的特征有关，还是与食品本身有关。
Background: Away-from-home food consumption has rapidly increased, though little is known about the independent associations of restaurant food and fast food intake with body mass index (BMI) and BMI change.Objective: The aim was to compare the associations of restaurant food and fast food consumption with current and 3-y changes in BMI.Design: Multivariate linear regression models, with control for demographic and lifestyle factors, were used to examine cross-sectional and longitudinal associations of away-from-home eating with BMI by using data from subjects of the Coronary Artery Risk Development in Young Adults Study (n = 3394) obtained at exam years 7 (1992-1993) and 10 (1995-1996).Results: Forty percent of the sample increased their weekly consumption of restaurant or fast food, though mean ( +/- SD) changes were -0.16 +/- 2.39 times/wk (P = 0.0001) and -0.56 +/- 3.04 times/wk (P < 0.0001), respectively. Cross-sectionally, fast food, but not restaurant food, consumption was positively associated with BMI. Similarly, higher consumption of fast food at year 7 was associated with a 0.16-unit higher BMI at year 10. After adjustment for baseline away-from-home eating, increased consumption of fast food only (beta: 0.20; 95% Cl: 0.0 1, 0.39) and of both restaurant food and fast food (beta: 0.29; 95% Cl: 0.06, 0.51) were positively associated with BMI change, though the estimates were not significantly different (P = 0.47). Increased consumption of restaurant food only was unrelated to BMI change (beta: -0.01; 95% Cl: -0.21, 0.19), which differed significantly (P = 0.014) from the estimate for an increase in both restaurant food and fast food intake.Conclusions: We found differential effects of restaurant food and fast food intakes on BMI, although the observed differences were not always statistically significant. More research is needed to determine whether the differential effects are related to consumer characteristics or the food itself.