ArticleJMIR research protocols2016
The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire.
Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05532137 (Effectiveness of a Personalized Intervention Program for the Promotion of the Mediterranean Diet, Based on a Mobile Phone Application), which is not on this map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of a Personalized Intervention Program for the Promotion of the Mediterranean Diet, Based on a Mobile Phone Application (e12HR), in Students of the University of Seville
Who cites it
14 citing papers in PubMed.
- Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial.JMIR mHealth and uHealth · 2024Trial
- Trial
- Trial
- Article
- Dietary Habits of Elite Soccer Players: Variations According to Competitive Level, Playing Position and Sex.Nutrients · 2023Article
- Weekend-Weekday Differences in Adherence to the Mediterranean Diet among Spanish University Students.Nutrients · 2022Observational
- Article
- The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App.JMIR mHealth and uHealth · 2021Article
- Nutritional Risk Screening and Assessment.Journal of clinical medicine · 2019Review
- Relative Validity of a Method Based on a Smartphone App (Electronic 12-Hour Dietary Recall) to Estimate Habitual Dietary Intake in Adults.JMIR mHealth and uHealth · 2019Article
- Measuring Caloric Intake at the Population Level (NOTION): Protocol for an Experimental Study.JMIR research protocols · 2019Article
- Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review.JMIR mHealth and uHealth · 2019Article
- Electronic 12-Hour Dietary Recall (e-12HR): Comparison of a Mobile Phone App for Dietary Intake Assessment With a Food Frequency Questionnaire and Four Dietary Records.JMIR mHealth and uHealth · 2018Article
- First evaluation steps of a new method for dietary intake estimation regarding a list of key food groups in adults and in different sociodemographic and health-related behaviour strata.Public health nutrition · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is a great necessity for new methods of evaluation of dietary intake that overcome the limitations of traditional self-reporting methods.
objectiveThe objective of this study was to develop a new method, based on an app for mobile phones called e-EPIDEMIOLOGY, which was designed to collect individual consumption data for a series of foods/drinks, and to compare this app with a previously validated paper food frequency questionnaire (FFQ).
methodsUniversity students >18 years of age recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then filled out a paper FFQ at the end of the study period. To evaluate the agreement between the categories of habitual consumption for each of the foods/drinks included in the study, cross-classification analysis and a weighted kappa statistic were used.
resultsA total of 119 participants completed the study (71% female, 85/119; 29% male, 34/119). Cross-classification analysis showed that 79.8% of the participants were correctly classified into the same category and just 1.1% were misclassified into opposite categories. The average weighted kappa statistic was good (κ=.64).
conclusionsThe results indicate that e-EPIDEMIOLOGY generated ranks of dietary intakes that were highly comparable with the previously validated paper FFQ. However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility.
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