ArticleNutrients2019
Relative Validity of the Eat and Track (EaT) Smartphone App for Collection of Dietary Intake Data in 18-to-30-Year Olds.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 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
- 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
- Article
- A systematic review of dietary data collection methodologies for diet diversity indicators.Frontiers in nutrition · 2024Review
- Modeling health risks using neural network ensembles.PloS one · 2024Article
- Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.Nutrients · 2023Article
- Snacking Behaviours of Australian Young Adults: Secondary Analysis of the MYMeals Cross-Sectional Study.Nutrients · 2023Article
- Design and Development of 'Diet DQ Tracker': A Smartphone Application for Augmenting Dietary Assessment.Nutrients · 2023Article
- Article
- 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
- Development and Validation of a Smartphone Application for Telenutrition in Patients with Inflammatory Bowel Disease.Diagnostics (Basel, Switzerland) · 2022Article
- Article
- Article
- Performance of the Digital Dietary Assessment Tool MyFoodRepo.Nutrients · 2022Article
- A Primer for the Evaluation and Integration of Dietary Intake and Physical Activity Digital Measurement Tools into Nutrition and Dietetics Practice.Journal of the Academy of Nutrition and Dietetics · 2022Article
- Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.Advances in nutrition (Bethesda, Md.) · 2021Article
- Validity of New Technologies That Measure Bone-Related Dietary and Physical Activity Risk Factors in Adolescents and Young Adults: A Scoping Review.International journal of environmental research and public health · 2021Article
- Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App.Nutrients · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
(1) Background: Smartphone dietary assessment apps can be acceptable and valid data collection methods but have predominantly been validated in highly educated women, and none specifically measured eating-out habits in young adults. (2) Methods: Participants recorded their food and beverage consumption for three days using the Eat and Track (EaT) app, and intakes were compared with three dietitian-administered 24-h recall interviews matched to the same days as the reference method. Wilcoxon signed-rank or
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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.