Bejar Luis Maria, Sharp Brett Northrop, García-Perea María Dolores
Department of Preventive Medicine and Public Health, University of Seville, Seville, Spain.
Virgen Rocio University Hospital, Seville, Spain.
JMIR Res Protoc. 2016 Nov 2;5(4):e208. doi: 10.2196/resprot.5782.
There is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods.
The objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed to collect individual consumption data for a series of foods/drinks, and to compare this app with a previously validated paper food frequency questionnaire (FFQ).
University students >18 years of age recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a paper FFQ at the end of the study period. To evaluate the agreement between the categories of habitual consumption for each of the foods/drinks included in the study, cross-classification analysis and a weighted kappa statistic were used.
A total of 119 participants completed the study (71% female, 85/119; 29% male, 34/119). Cross-classification analysis showed that 79.8% of the participants were correctly classified into the same category and just 1.1% were misclassified into opposite categories. The average weighted kappa statistic was good (κ=.64).
The results indicate that e-EPIDEMIOLOGY generated ranks of dietary intakes that were highly comparable with the previously validated paper FFQ. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility.
迫切需要新的饮食摄入量评估方法,以克服传统自我报告方法的局限性。
本研究的目的是基于一款名为e-EPIDEMIOLOGY的手机应用程序开发一种新方法,该应用程序旨在收集一系列食物/饮料的个人消费数据,并将该应用程序与先前经过验证的纸质食物频率问卷(FFQ)进行比较。
18岁以上的大学生连续28天使用e-EPIDEMIOLOGY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纸质FFQ。为了评估研究中包含的每种食物/饮料的习惯性消费类别之间的一致性,使用了交叉分类分析和加权kappa统计量。
共有119名参与者完成了研究(71%为女性,85/119;29%为男性,34/119)。交叉分类分析表明,79.8%的参与者被正确分类到同一类别,只有1.1%的参与者被错误分类到相反类别。平均加权kappa统计量良好(κ = 0.64)。
结果表明,e-EPIDEMIOLOGY生成的饮食摄入量排名与先前经过验证的纸质FFQ具有高度可比性。然而,需要注意的是,需要对e-EPIDEMIOLOGY进行进一步测试,以确定其更广泛的实用性。