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在评估习惯性饮食摄入量方面,是否有传统食物频率问卷的替代方法?

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

作者信息

Béjar Luis María, Vázquez-Limón Esther

机构信息

Universidad de Sevilla.

出版信息

Nutr Hosp. 2017 Jul 28;34(4):990-888. doi: 10.20960/nh.650.

DOI:10.20960/nh.650
PMID:29095013
Abstract

INTRODUCTION

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.

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

引言

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。

目的

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。

方法

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。

结果

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。

结论

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。

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