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    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
    Recio Rodríguez, José I.UBU authority Orcid
    Rodríguez Martín, Carmela
    González Sánchez, Jesús
    Rodríguez Sánchez, Emiliano
    Martín Borras, Carme
    Martínez Vizcaino, Vicente
    Arietaleanizbeaskoa, María Soledad
    Magdalena González, Olga
    Fernández Alonso, Carmen
    Maderuelo Fernández, José A.
    Gómez Marcos, Manuel A.
    García Ortiz, Luis
    On Behalf of the EVIDENT Investigators
    Publicado en
    JMIR mHealth and uHealth. 2019, V. 7, n. 2, e11463
    Editorial
    JMIR Publications
    Fecha de publicación
    2019-02
    DOI
    10.2196/11463
    Abstract
    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
    URI
    http://hdl.handle.net/10259/5202
    Versión del editor
    https://doi.org/10.2196/11463
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