ArticleJMIR formative research2023
Mobile Apps for Dietary and Food Timing Assessment: Evaluation for Use in Clinical Research.
Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- The Effect of the Menstrual Cycle on Energy Intake: A Systematic Review and Meta-analysis.Nutrition reviews · 2025Pooled it
- Speech Recognition-Based Dietary Assessment Tool for Older Adults: Validation and Usability Study.JMIR aging · 2026Trial
- Four-week time restricted eating intervention is associated with improvements in cardiometabolic risk factors and dysregulated eating among emerging adult women: a single-armed trial.Eating and weight disorders : EWD · 2026Trial
- Effects of Ketone Ester Supplementation on Cognition and Appetite in Individuals with and Without Metabolic syndrome: A Randomized Trial.Journal of dietary supplements · 2025Trial
- Development and Validation of a Mobile Application for Real-Time Chinese Dish Classification and Nutrient Estimation.Journal of food science · 2026Article
- Calorie-Counting Apps for Monitoring and Managing Calorie Intake in Adults Living With Weight-Related Chronic Diseases: Decade-Long Scoping Review (2013-2024).JMIR mHealth and uHealth · 2026Article
- Evaluating function availability and user satisfaction with nutrition apps: user-generated content analysis and text mining study.Nutrition journal · 2026Article
- Evaluating the Accuracy of Declared Eating Schedules by Continuous Glucose Monitoring.Nutrients · 2026Article
- Multimodal LLM-driven IoT digital healthcare platform for intelligent dysphagia dietary monitoring.Frontiers in nutrition · 2026Article
- Bridging the gap: technology-driven solutions to overcome food insecurity and improve nutrition access for older adults.Frontiers in public health · 2026Review
- Reliability and Validity of Nutrient Assessment Applications for Canadian Endurance Athletes: MyFitnessPal and Cronometer.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Observational
- [Application of Digital Nutrition Technologies in Adult Weight Management].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Article
- Chrononutrition: Potential, Challenges, and Application in Managing Obesity.International journal of molecular sciences · 2025Review
- Advanced cardiovascular physiology in an individual with type 1 diabetes after 10-year ketogenic diet.American journal of physiology. Cell physiology · 2024Article
- Digital biomarkers: 3PM approach revolutionizing chronic disease management - EPMA 2024 position.The EPMA journal · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundOver the last decade, health mobile apps have become an increasingly popular tool used by clinicians and researchers to track food consumption and exercise. However, many consumer apps lack the technological features for facilitating the capture of critical food timing details.
objectiveThis study aimed to introduce users to 11 apps from US app stores that recorded both dietary intake and food timing to establish which one would be the most appropriate for clinical research.
methodsTo determine a viable app that recorded both dietary intake and food timing for use in a food timing-related clinical study, we evaluated the time stamp data, usability, privacy policies, the accuracy of nutrient estimates, and general features of 11 mobile apps for dietary assessment that were available on US app stores. The following apps were selected using a keyword search of related terms and reviewed: text entry apps-Cronometer, DiaryNutrition, DietDiary, FoodDiary, Macros, and MyPlate; image entry apps-FoodView and MealLogger; and text plus image entry apps-Bitesnap, myCircadianClock, and MyFitnessPal.
resultsOur primary goal was to identify apps that recorded food time stamps, which 8 (73%) of the 11 reviewed apps did. Of the 11 apps, only 4 (36%) allowed users to edit the time stamps. Next, we sought to evaluate the usability of the apps using the System Usability Scale across 2 days, and 82% (9/11) of the apps received favorable scores for usability. To enable use in research and clinical settings, the privacy policies of each app were systematically reviewed using common criteria, with 1 (9%) Health Insurance Portability and Accountability Act-compliant app (Cronometer). Furthermore, protected health information was collected by 9 (82%) of the 11 apps. Finally, to assess the accuracy of the nutrient estimates generated by these apps, we selected 4 sample food items and a 3-day dietary record to input into each app. The caloric and macronutrient estimates of the apps were compared with the nutrient estimates provided by a registered dietitian using the Nutrition Data System for Research database. In terms of the 3-day food record, the apps were found to consistently underestimate daily calories and macronutrients compared with the Nutrition Data System for Research output.
conclusionsOverall, we found that the Bitesnap app provided flexible dietary and food timing functionality capable of being used in research and clinical settings, whereas most other apps lacked in the necessary food timing functionality or user privacy.
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What OpenQuestion holds
Registered trials
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.