ArticleJMIR mHealth and uHealth2015
Electronic Dietary Intake Assessment (e-DIA): Comparison of a Mobile Phone Digital Entry App for Dietary Data Collection With 24-Hour Dietary Recalls.
Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.
- Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.Journal of medical Internet research · 2022Trial
- Time-Restricted Eating Alters Food Intake Patterns, as Prospectively Documented by a Smartphone Application.Nutrients · 2020Trial
- Trial
- Article
- A Methodological Framework for Aggregating Branded Food Composition Data in mHealth Nutrition Databases: A Case Presentation.Nutrients · 2026Article
- Design and usability of Abu Dhabi Food Intake24: a culturally adapted digital 24-hour dietary recall for the United Arab Emirates.Frontiers in nutrition · 2026Article
- Food away from home and the risk of non-communicable diseases among young working adults in Pune, India: a smartphone-based dietary assessment.BMC nutrition · 2025Article
- Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study.JMIR mHealth and uHealth · 2024Article
- Feasibility of Using an Artificial Intelligence-based Telephone Application for Dietary Assessment and Nudging to Improve the Quality of Food Choices of Female Adolescents in Vietnam: Evidence from a Randomized Pilot Study.Current developments in nutrition · 2024Article
- Awareness and level of digital literacy among students receiving health-based education.BMC medical education · 2024Article
- A systematic review of dietary data collection methodologies for diet diversity indicators.Frontiers in nutrition · 2024Review
- Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.Nutrients · 2023Article
- Association between Dietary Habits and Sarcopenia in Patients with Liver Cirrhosis.Journal of clinical medicine · 2023Article
- Design and Development of 'Diet DQ Tracker': A Smartphone Application for Augmenting Dietary Assessment.Nutrients · 2023Article
- Review
- Article
- The Effectiveness of Wearable Devices in Non-Communicable Diseases to Manage Physical Activity and Nutrition: Where We Are?Nutrients · 2023Review
- A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study.JMIR formative research · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe electronic Dietary Intake Assessment (e-DIA), a digital entry food record mobile phone app, was developed to measure energy and nutrient intake prospectively. This can be used in monitoring population intakes or intervention studies in young adults.
objectiveThe objective was to assess the relative validity of e-DIA as a dietary assessment tool for energy and nutrient intakes using the 24-hour dietary recall as a reference method.
methodsUniversity students aged 19 to 24 years recorded their food and drink intake on the e-DIA for five days consecutively and completed 24-hour dietary recalls on three random days during this 5-day study period. Mean differences in energy, macro-, and micronutrient intakes were evaluated between the methods using paired t tests or Wilcoxon signed-rank tests, and correlation coefficients were calculated on unadjusted, energy-adjusted, and deattenuated values. Bland-Altman plots and cross-classification into quartiles were used to assess agreement between the two methods.
resultsEighty participants completed the study (38% male). No significant differences were found between the two methods for mean intakes of energy or nutrients. Deattenuated correlation coefficients ranged from 0.55 to 0.79 (mean 0.68). Bland-Altman plots showed wide limits of agreement between the methods but without obvious bias. Cross-classification into same or adjacent quartiles ranged from 75% to 93% (mean 85%).
conclusionsThe e-DIA shows potential as a dietary intake assessment tool at a group level with good ranking agreement for energy and all nutrients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.