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基于智能手机应用程序(电子 12 小时膳食回忆)的方法估计成年人习惯性膳食摄入量的相对有效性。

Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults.

机构信息

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

Virgen Macarena University Hospital, Seville, Spain.

出版信息

JMIR Mhealth Uhealth. 2019 Apr 11;7(4):e11531. doi: 10.2196/11531.

DOI:10.2196/11531
PMID:30973343
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6489347/
Abstract

BACKGROUND

Accurate dietary assessment is key to understanding nutrition-related outcomes and for estimating the dietary change in nutrition-based interventions. When researching the habitual consumption of selected food groups, it is essential to be aware of factors that could possibly affect reporting accuracy.

OBJECTIVE

This study aimed to evaluate the relative validity of the current-day dietary recall, a method based on a smartphone app called electronic 12-hour dietary recall (e-12HR), to categorize individuals according to habitual intake, in the whole sample of adults and in different strata thereof.

METHODS

University students and employees over 18 years recorded the consumption of 10 selected groups of food using e-12HR during 28 consecutive days. During this period, they also completed 4 dietary records. Once the period was finished, the subjects then completed a food frequency questionnaire (FFQ) and a usability-rating questionnaire for e-12HR. The food group intakes estimated by the e-12HR app, the dietary records, and the FFQ were categorized into sextiles: less than once a week, once or twice a week, 3-4 times a week, 5-6 times a week, once or twice a day, and 3 or more times a day. The 10 selected groups with e-12HR were compared with 4 dietary records and an FFQ reference method, in the whole sample and in different strata thereof: age (years): <25 and ≥25; gender: females and males; occupation: students and employees; smoking: no and yes; physical activity (minutes/week): ≥150 and <150; and body mass index (kg/m): <25 and ≥25. The association between the different methods was assessed using Spearman correlation coefficient (SCC). Cross-classification and kappa statistic were used as a measure of agreement between the different methods.

RESULTS

In total, 203 participants completed the study (56.7% [115/203] women, and 43.3% [88/203] men). For all food groups and all participants, the mean SCC for e-12HR versus FFQ was 0.67 (≥0.62 for all strata). On average, 50.7% of participants were classified into the same category (≥47.0% for all strata) and 90.2% within the nearest category (≥88.6% for all strata). Mean weighted kappa was 0.49 (≥0.44 for all strata). For e-12HR versus RDs, mean SCC was 0.65 (≥0.57 for all strata). On average, 50.0% of participants were classified into the same category (≥47.0% for all strata) and 88.2% within the nearest category (≥86.1% for all strata). Mean weighted kappa was 0.50 (≥0.44 for all strata).

CONCLUSIONS

The results indicate that e-12HR generated categories of dietary intake highly comparable with the 2 reference methods in the whole sample and in different strata thereof. The inclusion of photographs to facilitate estimation of the servings consumed generated correlation/agreement data between e-12HR and the FFQ that were similar to a previous study using an older version of the app, which did not include photographs.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fad/6489347/a36e98b2f549/mhealth_v7i4e11531_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fad/6489347/a36e98b2f549/mhealth_v7i4e11531_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fad/6489347/a36e98b2f549/mhealth_v7i4e11531_fig1.jpg
摘要

背景

准确的饮食评估是理解营养相关结果和估计营养干预措施中饮食变化的关键。当研究特定食物组的习惯性消费时,必须意识到可能影响报告准确性的因素。

目的

本研究旨在评估当前的日常饮食回忆方法的相对有效性,该方法基于一个名为电子 12 小时饮食回忆(e-12HR)的智能手机应用程序,用于根据习惯性摄入对成年人和不同人群进行分类。

方法

大学生和 18 岁以上的员工在 28 天内使用 e-12HR 记录 10 组选定的食物摄入量。在此期间,他们还完成了 4 份饮食记录。一旦完成这段时间,参与者就完成了食物频率问卷(FFQ)和 e-12HR 可用性评分问卷。e-12HR 应用程序、饮食记录和 FFQ 估计的食物组摄入量被分为六类:每周少于一次、每周一次或两次、每周 3-4 次、每周 5-6 次、每天一次或两次、每天 3 次或更多次。用 e-12HR 比较了 10 个选定的组与 4 种饮食记录和一种 FFQ 参考方法,在整个样本和不同人群中:年龄(岁):<25 和≥25;性别:女性和男性;职业:学生和员工;吸烟:否和是;体力活动(分钟/周):≥150 和<150;和身体质量指数(kg/m):<25 和≥25。使用 Spearman 相关系数(SCC)评估不同方法之间的关联。交叉分类和kappa 统计用于衡量不同方法之间的一致性。

结果

共有 203 名参与者完成了研究(56.7%[115/203]为女性,43.3%[88/203]为男性)。对于所有食物组和所有参与者,e-12HR 与 FFQ 的平均 SCC 为 0.67(所有人群均≥0.62)。平均而言,50.7%的参与者被归入同一类别(所有人群均≥47.0%),90.2%的参与者归入最近的类别(所有人群均≥88.6%)。平均加权 kappa 为 0.49(所有人群均≥0.44)。对于 e-12HR 与 RDs,平均 SCC 为 0.65(所有人群均≥0.57)。平均而言,50.0%的参与者被归入同一类别(所有人群均≥47.0%),88.2%的参与者归入最近的类别(所有人群均≥86.1%)。平均加权 kappa 为 0.50(所有人群均≥0.44)。

结论

结果表明,e-12HR 生成的饮食摄入量类别与整个样本和不同人群中的两种参考方法高度可比。为了便于估计所消耗的份量,包含照片生成了 e-12HR 与 FFQ 之间的相关/一致性数据,这与之前使用不包含照片的应用程序的旧版本进行的研究相似。

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