Evaluation and Comparison of Food Records, Recalls, and Frequencies for Energy and Protein Assessment by Using Recovery Biomarkers
Evaluation and Comparison of Food Records, Recalls, and Frequencies for Energy and Protein Assessment by Using Recovery Biomarkers
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DOI：
10.1093/aje/kwr140
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发表时间：
2011-09-01
影响因子：
5
通讯作者：
Neuhouser, Marian L.
中科院分区：
文献类型：
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作者：
Prentice, Ross L.;Mossavar-Rahmani, Yasmin;Neuhouser, Marian L.
食物频率问卷法用于膳食评估在营养流行病学研究中普遍存在。食品记录和召回提供的方法也可能适用于大规模流行病学队列，如果有更好的测量特性保证的话。作者收集了(2007-2009年)妇女健康倡议前瞻性队列研究中450名绝经后妇女的4天食物记录、3次24小时饮食召回和食物频率问卷(1994-1998年登记)，以及能量和蛋白质消耗的生物标记物。通过与生物标志物的比较，食物记录比食物频率问卷提供了更好的能量和蛋白质估计，24小时召回大多处于中等水平。蛋白质密度差异较小，差异不显著。食物频率、记录和召回分别能够解释能量生物标记变异的3.8%、7.8%和2.8%；蛋白质生物标记变异的8.4%、22.6%和16.2%；蛋白质密度生物标记变异的6.5%、11.0%和7.0%。然而，包括体重指数、年龄和种族在内的校准方程大大改善了这些数字，能量为41.7%、44.7%和42.1%；蛋白质为20.3%、32.7%和28.4%；蛋白质密度为8.7%、14.4%和10.4%。使用任何评估程序的校准方程式可产生适合流行病学研究目的的消费量估计值。
The food frequency questionnaire approach to dietary assessment is ubiquitous in nutritional epidemiology research. Food records and recalls provide approaches that may also be adaptable for use in large epidemiologic cohorts, if warranted by better measurement properties. The authors collected (2007-2009) a 4-day food record, three 24-hour dietary recalls, and a food frequency questionnaire from 450 postmenopausal women in the Women's Health Initiative prospective cohort study (enrollment, 1994-1998), along with biomarkers of energy and protein consumption. Through comparison with biomarkers, the food record is shown to provide a stronger estimate of energy and protein than does the food frequency questionnaire, with 24-hour recalls mostly intermediate. Differences were smaller and nonsignificant for protein density. Food frequencies, records, and recalls were, respectively, able to "explain" 3.8%, 7.8%, and 2.8% of biomarker variation for energy; 8.4%, 22.6%, and 16.2% of biomarker variation for protein; and 6.5%, 11.0%, and 7.0% of biomarker variation for protein density. However, calibration equations that include body mass index, age, and ethnicity substantially improve these numbers to 41.7%, 44.7%, and 42.1% for energy; 20.3%, 32.7%, and 28.4% for protein; and 8.7%, 14.4%, and 10.4% for protein density. Calibration equations using any of the assessment procedures may yield suitable consumption estimates for epidemiologic study purposes.