2026-11-02T19:18:38Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/52022021-11-10T09:53:33Zcom_10259_4996com_10259_3989com_10259.4_106com_10259_2604col_10259_4999

00925njm 22002777a 4500 dc Recio Rodríguez, José I. author Rodríguez Martín, Carmela author González Sánchez, Jesús author Rodríguez Sánchez, Emiliano author Martín Borras, Carme author Martínez Vizcaino, Vicente author Arietaleanizbeaskoa, María Soledad author Magdalena González, Olga author Fernández Alonso, Carmen author Maderuelo Fernández, José A. author Gómez Marcos, Manuel A. author García Ortiz, Luis author On Behalf of the EVIDENT Investigators author 2019-02 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). http://hdl.handle.net/10259/5202 10.2196/11463 2291-5222 technology assessment biomedical telemedicine energy intake diet records surveys and questionnaires EVIDENT smartphone app, a new method for the dietary record: comparison with a food frequency questionnaire