Béjar Luis María, Vázquez-Limón Esther
Universidad de Sevilla.
Nutr Hosp. 2017 Jul 28;34(4):990-888. doi: 10.20960/nh.650.
Dietary assessment methods are an important instrument for nutrition research. Food frequency questionnaires (FFQs) have been the most frequently used dietary assessment tool in epidemiological and intervention studies. There is a great necessity for new methods of determination of habitual dietary intake that overcome the limitations of these traditional methods.
The objectives of the present study were to develop a new method, based on an application for mobile phones called e-EPIDEMIOLOGY, designed to record individual consumption data about a short series of foods/drinks, and to compare data collected using this tool with those obtained from a previously validated short paper FFQ.
University students over 18 years recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a short paper FFQ at the end of the study period. To evaluate the agreement between both methods, Spearman's correlation coefficient, cross-classification analysis and a weighted kappa statistic were used.
One hundred and nineteen participants completed the study (71.4% female and 28.6% male). The mean Spearman's correlation coefficients for food/drink group intake between the two methods was 0.73. The mean percentage of participants cross-classified into categories of "exact agreement + adjacent" was 91.6%. The average weighted kappa statistic was 0.60.
The results indicate that e-EPIDEMIOLOGY has good agreement with the previously validated FFQ short paper. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility.
膳食评估方法是营养研究的重要工具。食物频率问卷(FFQ)一直是流行病学和干预研究中最常用的膳食评估工具。迫切需要新的方法来确定习惯性膳食摄入量,以克服这些传统方法的局限性。
本研究的目的是开发一种基于名为“电子流行病学”的手机应用程序的新方法,用于记录关于一小系列食物/饮料的个人消费数据,并将使用该工具收集的数据与从先前验证的简短纸质FFQ获得的数据进行比较。
18岁以上的大学生连续28天使用“电子流行病学”记录某些食物/饮料的消费情况,然后在研究期结束时填写一份简短的纸质FFQ。为了评估两种方法之间的一致性,使用了斯皮尔曼相关系数、交叉分类分析和加权kappa统计量。
119名参与者完成了研究(女性占71.4%,男性占28.6%)。两种方法之间食物/饮料组摄入量的平均斯皮尔曼相关系数为0.73。交叉分类为“完全一致+相邻”类别的参与者的平均百分比为91.6%。平均加权kappa统计量为0.60。
结果表明,“电子流行病学”与先前验证的简短纸质FFQ具有良好的一致性。然而,需要注意的是,需要对“电子流行病学”进行进一步测试,以确定其更广泛的实用性。