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首页> 外文期刊>American Journal of Epidemiology >Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.
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Evaluation and comparison of food records, recalls, and frequencies for energy and protein assessment by using recovery biomarkers.

机译:使用回收生物标志物评估和比较食物记录,召回以及能量和蛋白质评估的频率。

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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.
机译:营养流行病学研究普遍采用以食物频率问卷进行饮食评估的方法。食品记录和召回提供了一些方法,如果可以通过更好的测量方法来保证,这些方法也可能适用于大型流行病学研究人群。作者在“妇女健康倡议”前瞻性队列研究(1994-1998年入组)中收集了(2007-2009年)4天的食物记录,3次24小时饮食召回和450位绝经后妇女的食物频率问卷以及生物标记物。能量和蛋白质消耗。通过与生物标志物的比较,表明食物记录比食物频率调查表对能量和蛋白质的估计更强,其中24小时的召回大多数是中间的。差异较小,蛋白质密度差异不显着。食物的频率,记录和召回分别能够“解释”生物标记能量的3.8%,7.8%和2.8%。蛋白质生物标记变异的8.4%,22.6%和16.2%;蛋白质密度分别有6.5%,11.0%和7.0%的生物标志物变化。但是,包括体重指数,年龄和种族的校准方程式将这些数字的能量值显着提高至41.7%,44.7%和42.1%。蛋白质的比例分别为20.3%,32.7%和28.4%;蛋白质密度分别为8.7%,14.4%和10.4%。使用任何评估程序的校准方程式都可以得出适合流行病学研究目的的消耗量估计值。

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