BACKGROUND The World Health Organization has called for addressing the growing burden of non-communicable diseases (NCDs) by promoting healthy lifestyles among the population. Healthcare workers are a subgroup of the population where lifestyle promotion is essential for three main reasons: for their own health, for the success of healthcare organizations, and for patient health. Regarding this last point (about patient health), primary care professionals (PCPs) are the first line of care that can positively influence patients' behavior and lifestyle habits. However, PCPs, do not have a healthy lifestyle. Therefore, addressing their health behaviors may be the key to substantially increasing health promotion advice in general practice. This study focused only on the dietary aspect. OBJECTIVE Primary objective, to evaluate the effect of using the e-12HR app to improve diet (specifically, to promote adherence to the Mediterranean diet (AMD)) among PCPs. The Mediterranean diet has been extensively studied and there is strong evidence of it being a dietary pattern for the prevention of NCDs, besides its significant environmental, sociocultural and local economics benefits. Secondary objectives, to establish the usability of e-12HR and determine AMD among PCPs. METHODS Individual-level randomized, controlled and single-blind clinical trial with two parallel groups: control group (CG), using the ‘non-feedback’ version of e-12HR, and intervention group (IG), using the ‘feedback’ version of e-12HR. 28-day follow-up period. Participants were PCPs (medicine or nursing) at one of the selected primary care centers (Andalusia, Spain, Southern Europe), both genders, over 18 years-old and possess a Smartphone. RESULTS 71 participants (47 doctors and 24 nurses), 38.0% women and 62.0% men: 40 in the CG and 31in the IG. At baseline, the AMD was medium (mean index of 9.45 and with the 66.2% of participants with medium/high index). There were significant statistical improvements (CG versus IG, in favor of the IG) at week four (no significant statistical differences at baseline): +25.6% for the AMD index (P value = 0.002) and +213.1% for the percentage with medium/high AMD index (P value = 0.001). In relation to specific food groups, there were significant statistical improvements for fruits (+33.8%, P value = 0.022), vegetables (+352.0%, P value = 0.001), nuts (+184.0%, P value = 0.022) and legumes (+75.1%, P value = 0.028). The responses to the usability rating questionnaire for e-12HR were very satisfactory. CONCLUSIONS The results support recommending the use of e-12HR as a tool to contribute to improving diet and preventing NCDs among these PCPs (which, at the same time, could positively influence patient dietary behavior and prevent diet-related NCDs among those same patients). CLINICALTRIAL ClinicalTrials.gov, NCT05532137.

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Background: One of the greatest challenges for nutritional epidemiology is improving upon traditional self-reporting methods for assessing usual dietary intake. Objective: Evaluating the relative validity of a new method known as the current-day dietary recall (current-day recall), based on a Smartphone app called 12-hour dietary recall (e-12HR), for determining the habitual intake of a series of key food/drink groups using a food frequency questionnaire (FFQ) and four dietary records (DRs) as reference methods. Methods: University students over the age of 18 recorded their consumption of certain groups of food/drink using e-12HR for 28 consecutive days. During this 28-day period, they also completed four DRs on randomly selected days. Once the monitoring period was finished, the subjects then completed a FFQ. A comparison was made between the different methods using the Spearman correlation coefficient (SCC), a cross-classification analysis, and weighted kappa (k). Results: A total of 87 participants completed the study (64% women, 56/87; 36% men, 31/87). e-12HR versus FFQ, for all food/drink groups: The average SCC was .70. Crossclassification analysis showed that the average percentage of individuals classified in the exact agreement category was 51.5%; exact agreement + adjacent was 91.8%; and no participant (0.0%) was classified in the extreme disagreement category. The average k was .51. e-12HR versus the four DRs, for all food/drink groups: The average SCC was .63. Crossclassification analysis showed that the average percentage of individuals classified in the exact agreement category was 47.1%; exact agreement + adjacent was 89.2%; and no participant (0.0%) was classified in the extreme disagreement category. The average k was .47. Conclusions: Current-day recall, based on the e-12HR app, is in good agreement with the two reference methods (FFQ & four DRs), demonstrating its potential usefulness for categorizing individuals according to the usual dietary intake of certain food/drink groups.