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美国国立癌症研究所饮食筛查问卷评分算法的开发与评估

Development and Evaluation of the National Cancer Institute's Dietary Screener Questionnaire Scoring Algorithms.

作者信息

Thompson Frances E, Midthune Douglas, Kahle Lisa, Dodd Kevin W

机构信息

Divisions of Cancer Control and Population Sciences and

Cancer Prevention, National Cancer Institute, Bethesda, MD; and.

出版信息

J Nutr. 2017 Jun;147(6):1226-1233. doi: 10.3945/jn.116.246058. Epub 2017 May 10.

Abstract

Methods for improving the utility of short dietary assessment instruments are needed. We sought to describe the development of the NHANES Dietary Screener Questionnaire (DSQ) and its scoring algorithms and performance. The 19-item DSQ assesses intakes of fruits and vegetables, whole grains, added sugars, dairy, fiber, and calcium. Two nonconsecutive 24-h dietary recalls and the DSQ were administered in NHANES 2009-2010 to respondents aged 2-69 y ( = 7588). The DSQ frequency responses, coupled with sex- and age-specific portion size information, were regressed on intake from 24-h recalls by using the National Cancer Institute usual intake method to obtain scoring algorithms to estimate mean and prevalences of reaching 2 a priori threshold levels. The resulting scoring algorithms were applied to the DSQ and compared with intakes estimated with the 24-h recall data only. The stability of the derived scoring algorithms was evaluated in repeated sampling. Finally, scoring algorithms were applied to screener data, and these estimates were compared with those from multiple 24-h recalls in 3 external studies. The DSQ and its scoring algorithms produced estimates of mean intake and prevalence that agreed closely with those from multiple 24-h recalls. The scoring algorithms were stable in repeated sampling. Differences in the means were <2%; differences in prevalence were <16%. In other studies, agreement between screener and 24-h recall estimates in fruit and vegetable intake varied. For example, among men in 2 studies, estimates from the screener were significantly lower than the 24-h recall estimates (3.2 compared with 3.8 and 3.2 compared with 4.1). In the third study, agreement between the screener and 24-h recall estimates were close among both men (3.2 compared with 3.1) and women (2.6 compared with 2.5). This approach to developing scoring algorithms is an advance in the use of screeners. However, because these algorithms may not be generalizable to all studies, a pilot study in the proposed study population is advisable. Although more precise instruments such as 24-h dietary recalls are recommended in most research, the NHANES DSQ provides a less burdensome alternative when time and resources are constrained and interest is in a limited set of dietary factors.

摘要

需要改进短期饮食评估工具实用性的方法。我们试图描述美国国家健康与营养检查调查(NHANES)饮食筛查问卷(DSQ)的开发过程及其评分算法和性能。包含19个条目的DSQ评估水果、蔬菜、全谷物、添加糖、乳制品、纤维和钙的摄入量。在2009 - 2010年的NHANES中,对年龄在2至69岁的受访者(n = 7588)进行了两次非连续的24小时饮食回顾和DSQ调查。通过使用美国国家癌症研究所常用摄入量方法,将DSQ频率响应与特定性别和年龄的食物分量信息相结合,对24小时饮食回顾中的摄入量进行回归分析,以获得评分算法,用于估计达到两个先验阈值水平的平均值和患病率。将所得评分算法应用于DSQ,并与仅用24小时饮食回顾数据估计的摄入量进行比较。在重复抽样中评估所推导评分算法的稳定性。最后,将评分算法应用于筛查数据,并将这些估计值与三项外部研究中多次24小时饮食回顾的估计值进行比较。DSQ及其评分算法得出的平均摄入量和患病率估计值与多次24小时饮食回顾得出的结果非常接近。评分算法在重复抽样中是稳定的。平均值差异<2%;患病率差异<16%。在其他研究中,筛查工具与24小时饮食回顾在水果和蔬菜摄入量估计方面的一致性各不相同。例如,在两项研究中的男性中,筛查工具的估计值显著低于24小时饮食回顾的估计值(分别为3.2与3.8以及3.2与4.1)。在第三项研究中,筛查工具与24小时饮食回顾在男性(3.2与3.1)和女性(2.6与2.5)中的估计值都很接近。这种开发评分算法的方法是筛查工具使用方面的一项进步。然而,由于这些算法可能不适用于所有研究,建议在所提议的研究人群中进行预试验。尽管在大多数研究中推荐使用更精确的工具,如24小时饮食回顾,但当时间和资源有限且关注的是有限的一组饮食因素时,NHANES DSQ提供了一种负担较小的替代方法。

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