Unknown

Dataset Information

0

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


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/m2): <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.

SUBMITTER: Bejar LM 

PROVIDER: S-EPMC6489347 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Béjar Luis María LM   García-Perea María Dolores MD   Reyes Óscar Adrián ÓA   Vázquez-Limón Esther E  

JMIR mHealth and uHealth 20190411 4


<h4>Background</h4>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.<h4>Objective</h4>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 recal  ...[more]

Similar Datasets

| S-EPMC7101484 | biostudies-literature
| S-EPMC9244674 | biostudies-literature
| S-EPMC7822719 | biostudies-literature
| S-EPMC4270062 | biostudies-literature
| S-EPMC6412427 | biostudies-literature
| S-EPMC5913813 | biostudies-literature
| S-EPMC6266941 | biostudies-literature
| S-EPMC5037543 | biostudies-literature
| S-EPMC7511869 | biostudies-literature
| S-EPMC5859994 | biostudies-literature