Is consumption of breakfast associated with body mass index in US adults?
Is consumption of breakfast associated with body mass index in US adults?
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DOI：
10.1016/j.jada.2005.06.002
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发表时间：
2005-09-01
影响因子：
--
通讯作者：
Chung, CE
中科院分区：
文献类型：
--
作者：
Song, WO;Chun, OK;Chung, CE
目的检验美国成年人早餐摄入量与体重指数测量体重状态之间的关系这一假设。对1999-2000年美国国家健康与营养检查调查的数据进行设计分析。受试者/背景男女年龄=19岁(N=4,218)，不包括孕妇和/或哺乳期女性。统计分析采用SAS(版本8.1,2000，SAS Institute Inc.，Cary，NC)和SUDAAN(版本8.0.2,2003年，三角研究所，研究三角公园，)。NC)软件用于计算早餐消费者的样本加权平均数、标准差和总体百分比。采用多元Logistic回归模型和线性回归模型，以协变量为对照，分析早餐摄入量和早餐中是否含有即食麦片(RTEC)对体重指数的预测性。结果早餐消费者比非早餐消费者更倾向于年龄较大、女性、白人、不吸烟、经常锻炼、努力控制体重。对于女性来说，早餐消费者的每日能量摄入量高于非早餐消费者；对于男性和女性来说，RTEC早餐消费者的脂肪能量摄入量显著低于非RTEC早餐消费者，而来自碳水化合物的能量显著高于非RTEC早餐消费者。对女性而言，调整协变量模型后，早餐消费者(优势比=0.76)和RTEC早餐消费者(优势比=0.70)BMI&>=25的优势比分别低于非早餐消费者和非RTEC早餐消费者。当RTEC消费被添加为协变量时，早餐消费者与非早餐消费者相比，不再表现出显著较低的优势比。此外，回归分析支持女性RTEC早餐摄入量与体重指数之间的负相关(回归系数=-0.37，P
Objective To test the hypothesis that breakfast consumption is associated with weight status measured by body mass index in US adults.Design Analyses of data from the National Health and Nutrition Examination Survey, 1999-2000.Participants/setting Men and women aged >= 19 years (N = 4,218), excluding pregnant and/or lactating women.Statistical analyses performed SAS (release 8.1, 2000, SAS Institute Inc, Cary, NC) and SUDAAN (release 8.0.2, 2003, Research Triangle Institute, Research Triangle Park,. NC) software were used to calculate sample-weighted means, standard errors, and population percentages of breakfast consumers. Multiple logistic and linear regression models, with controls for covariates, were used to determine the predictability of body mass index from breakfast consumption and from inclusion of ready-to-eat cereal (RTEC) in the breakfast meal.Results Breakfast consumers were more likely than breakfast nonconsumers to be older, female, white, nonsmokers, regular exercisers, and trying to control their weight. For women, daily energy intake was higher among breakfast consumers than among breakfast nonconsumers; for both men and women, energy intake from fat among RTEC breakfast consumers was significantly lower than among non-RTEC breakfast consumers, whereas energy from carbohydrate among RTEC breakfast consumers was significantly higher than among non-RTEC breakfast consumers. For women, the odds ratios for BMI >= 25 were lower for breakfast consumers (odds ratio=0.76) and RTEC breakfast consumers (odds ratio=0.70) compared with breakfast nonconsumers and non-RTEC breakfast consumers, respectively, after adjusting the models for covariates. When RTEC consumption was added as a covariate, breakfast consumers no longer exhibited significantly lower odds ratios compared with breakfast nonconsumers. Furthermore, regression analyses supported an inverse association between RTEC breakfast consumption and body mass index in women (regression coefficient = - 0.37, P