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电子12小时膳食回顾(e-12HR):用于膳食摄入量评估的手机应用程序与食物频率问卷及四份膳食记录的比较

Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records.

作者信息

Béjar Luis María, Reyes Óscar Adrián, García-Perea María Dolores

机构信息

Department of Preventive Medicine and Public Health, School of Medicine, University of Seville, Seville, Spain.

Mutua Balear, Seville, Spain.

出版信息

JMIR Mhealth Uhealth. 2018 Jun 15;6(6):e10409. doi: 10.2196/10409.

DOI:10.2196/10409
PMID:29907555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6026301/
Abstract

BACKGROUND

One of the greatest challenges in nutritional epidemiology is improving upon traditional self-reporting methods for the assessment of habitual dietary intake.

OBJECTIVE

The aim of this study was to evaluate the relative validity of a new method known as the current-day dietary recall (or current-day recall), based on a smartphone app called 12-hour dietary recall, for determining the habitual intake of a series of key food and drink groups using a food frequency questionnaire (FFQ) and four dietary records as reference methods.

METHODS

University students over the age of 18 years recorded their consumption of certain groups of food and drink using 12-hour dietary recall for 28 consecutive days. During this 28-day period, they also completed four dietary records on randomly selected days. Once the monitoring period was over, subjects then completed an FFQ. The two methods were compared using the Spearman correlation coefficient (SCC), a cross-classification analysis, and weighted kappa.

RESULTS

A total of 87 participants completed the study (64% women, 56/87; 36% men, 31/87). For e-12HR versus FFQ, for all food and drink groups, the average SCC was 0.70. Cross-classification analysis revealed that the average percentage of individuals classified in the exact agreement category was 51.5%; exact agreement + adjacent was 91.8%, and no participant (0%) was classified in the extreme disagreement category. The average weighted kappa was 0.51. For e-12HR versus the four dietary records, for all food and drink groups, the average SCC was 0.63. Cross-classification analysis revealed that the average percentage of individuals classified in the exact agreement category was 47.1%; exact agreement + adjacent was 89.2%; and no participant (0%) was classified in the extreme disagreement category. The average weighted kappa was 0.47.

CONCLUSIONS

Current-day recall, based on the 12-hour dietary recall app, was found to be in good agreement with the two reference methods (FFQ & four dietary records), demonstrating its potential usefulness for categorizing individuals according to their habitual dietary intake of certain food and drink groups.

摘要

背景

营养流行病学面临的最大挑战之一是改进传统的自我报告方法以评估习惯性饮食摄入量。

目的

本研究旨在评估一种名为当日饮食回忆法(或当日回忆法)的新方法的相对效度,该方法基于一款名为12小时饮食回忆的智能手机应用程序,以食物频率问卷(FFQ)和四份饮食记录作为参考方法来确定一系列关键食物和饮料类别的习惯性摄入量。

方法

18岁以上的大学生连续28天使用12小时饮食回忆法记录他们对某些食物和饮料类别的摄入量。在这28天期间,他们还在随机选择的日子里完成了四份饮食记录。监测期结束后,受试者完成一份FFQ。使用斯皮尔曼相关系数(SCC)、交叉分类分析和加权kappa对这两种方法进行比较。

结果

共有87名参与者完成了研究(64%为女性,56/87;36%为男性,31/87)。对于电子12小时饮食回忆法与FFQ,所有食物和饮料类别,平均SCC为0.70。交叉分类分析显示,被归为完全一致类别的个体平均百分比为51.5%;完全一致+相邻为91.8%,且没有参与者(0%)被归为极度不一致类别。平均加权kappa为0.51。对于电子12小时饮食回忆法与四份饮食记录,所有食物和饮料类别,平均SCC为0.63。交叉分类分析显示,被归为完全一致类别的个体平均百分比为47.1%;完全一致+相邻为89.2%;且没有参与者(0%)被归为极度不一致类别。平均加权kappa为0.47。

结论

基于12小时饮食回忆应用程序的当日回忆法与两种参考方法(FFQ和四份饮食记录)具有良好的一致性,表明其在根据个体对某些食物和饮料类别的习惯性饮食摄入量进行分类方面具有潜在的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63fc/6026301/c868378dec81/mhealth_v6i6e10409_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63fc/6026301/c868378dec81/mhealth_v6i6e10409_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63fc/6026301/c868378dec81/mhealth_v6i6e10409_fig1.jpg

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