EVIDENT Smartphone App, a New Method for the Dietary Record: Comparison With a Food Frequency Questionnaire.

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).

Short- and long-term effectiveness of a smartphone application for improving measures of adiposity: A randomised clinical trial - EVIDENT II study.

BACKGROUND: Evidence on the efficacy of smartphone applications (apps) for reducing body weight and other measurements of adiposity sustainably is not conclusive. OBJECTIVE: To evaluate the effect of adding an app for 3 months to traditional counselling on physical activity (PA) and a heart-healthy diet for the modification of measurements of adiposity at 3 and 12 months after intervention. METHODS: This randomised clinical trial included 833 subjects. The counselling and app group (IG) had 415 subjects, while 418 were included in the counselling only group (CG). The primary outcome was adiposity measurements at 3 and 12 months after intervention. The secondary outcome was the effect of the intervention by sex. INTERVENTION: Counselling on a heart-healthy diet and PA was given to both groups. The IG also received training in the use of a smartphone app designed to promote a heart-healthy diet and PA, and this group was given access to this application for 3 months. Outcome measurements included waist circumference (WC), body mass index (BMI) and Clínica Universidad de Navarra - body adiposity estimator (CUN-BAE). RESULTS: In the IG at 12 months, the following decreased: WC -0.72 cm (95% confidence interval [CI]: -2.35 to -0.02) and CUN-BAE -0.35 (95% CI: -0.63 to -0.06). These decreases were only observed in women. After baseline adjustment, the beneficial effect was maintained in the IG compared to the CG at 12 months in terms of WC (-0.67; 95% CI: -0.29 to -0.02) and CUN-BAE (-0.57; 95% CI: -1.10 to -0.04), but only in women. CONCLUSIONS: An intervention of nutritional counselling and PA plus the smartphone app with personalised recommendations compared to CG showed beneficial results in terms of reduction of abdominal obesity and the percentage of body fat in women, but not in men.