Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/5202
Título
EVIDENT smartphone app, a new method for the dietary record: comparison with a food frequency questionnaire
Autor
Publicado en
JMIR mHealth and uHealth. 2019, V. 7, n. 2, e11463
Editorial
JMIR Publications
Fecha de publicación
2019-02
DOI
10.2196/11463
Resumen
Background: More alternatives are needed for recording people’s normal diet in different populations, especially adults or the
elderly, as part of the investigation into the effects of nutrition on health.
Objective: The aim of this study was to compare the estimated values of energy intake, macro- and micronutrient, and alcohol
consumption gathered using the EVIDENT II smartphone app against the data estimated with a food frequency questionnaire
(FFQ) in an adult population aged 18 to 70 years.
Methods: We included 362 individuals (mean age 52 years, SD 12; 214/362, 59.1% women) who were part of the EVIDENT
II study. The participants registered their food intake using the EVIDENT app during a period of 3 months and through an FFQ.
Both methods estimate the average nutritional composition, including energy intake, macro- and micronutrients, and alcohol.
Through the app, the values of the first week of food recording, the first month, and the entire 3-month period were estimated.
The FFQ gathers data regarding the food intake of the year before the moment of interview.
Results: The intraclass correlation for the estimation of energy intake with the FFQ and the app shows significant results, with
the highest values returned when analyzing the app’s data for the full 3-month period (.304, 95% CI 0.144-0.434; P<.001). For this period, the correlation coefficient for energy intake is .233 (P<.001). The highest value corresponds to alcohol consumption
and the lowest to the intake of polyunsaturated fatty acids (r=.676 and r=.155; P<.001), respectively. The estimation of daily
intake of energy, macronutrients, and alcohol presents higher values in the FFQ compared with the EVIDENT app data. Considering
the values recorded during the 3-month period, the FFQ for energy intake estimation (Kcal) was higher than that of the app (a
difference of 408.7, 95% CI 322.7-494.8; P<.001). The same is true for the other macronutrients, with the exception g/day of
saturated fatty acids (.4, 95% CI −1.2 to 2.0; P=.62).
Conclusions: The EVIDENT app is significantly correlated to FFQ in the estimation of energy intake, macro- and micronutrients,
and alcohol consumption. This correlation increases with longer app recording periods. The EVIDENT app can be a good
alternative for recording food intake in the context of longitudinal or intervention studies.
Trial Registration: ClinicalTrials.gov NCT02016014; http://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite
at http://www.webcitation.org/760i8EL8Q).
Palabras clave
technology assessment
biomedical
telemedicine
energy intake
diet records
surveys and questionnaires
Materia
Nutrición
Nutrition
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