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

dc.contributor.authorBéjar, Luis María
dc.contributor.authorGarcía-Perea, María Dolores
dc.contributor.authorReyes, Óscar Adrián
dc.contributor.authorVázquez-Limón, Esther
dc.date.accessioned2025-01-07T16:14:13Z
dc.date.available2025-01-07T16:14:13Z
dc.date.issued2019-04-11
dc.description.abstractAccurate 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. 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. 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): 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). 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.
dc.identifier.doi10.2196/11531
dc.identifier.issn2291-5222
dc.identifier.pmcPMC6489347
dc.identifier.pmid30973343
dc.identifier.unpaywallURLhttps://mhealth.jmir.org/2019/4/e11531/PDF
dc.identifier.urihttps://hdl.handle.net/10668/27700
dc.issue.number4
dc.journal.titleJMIR mHealth and uHealth
dc.journal.titleabbreviationJMIR Mhealth Uhealth
dc.language.isoen
dc.organizationSAS - Hospital Universitario Virgen Macarena
dc.organizationSAS - Hospital Universitario Virgen Macarena
dc.page.numbere11531
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectdiet records
dc.subjectepidemiologic methods
dc.subjectmobile apps
dc.subjectnutrition assessment
dc.subject.meshAdult
dc.subject.meshEating
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMobile Applications
dc.subject.meshNutrition Assessment
dc.subject.meshSpain
dc.subject.meshStatistics as Topic
dc.subject.meshSurveys and Questionnaires
dc.subject.meshValidation Studies as Topic
dc.titleRelative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number7

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