Trial reportNutrients2017
Development and Evaluation of e-CA, an Electronic Mobile-Based Food Record.
Trial report in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses 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
35 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- 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
- A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology.Nutrients · 2019Pooled it
- A comparison of personalized and fixed interval signal-contingent ecological momentary assessment to capture dietary data: a double-blinded crossover feasibility study.European journal of clinical nutrition · 2026Trial
- Using Mobile Ecological Momentary Assessment to Understand Consumption and Context Around Online Food Delivery Use: Pilot Feasibility and Acceptability Study.JMIR mHealth and uHealth · 2023Trial
- Accuracy and cost-effectiveness of the INDDEX24 Dietary Assessment Platform in Viet Nam.The British journal of nutrition · 2023Trial
- Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.The Journal of nutrition · 2021Trial
- Gut Microbiota Diversity and Composition Across Shift Types and the Effects of Walnut Supplementation-An Observational and Interventional Study.International journal of environmental research and public health · 2026Observational
- A systematic review of dietary data collection methodologies for diet diversity indicators.Frontiers in nutrition · 2024Review
- Validation of a web-based dietary assessment program against 24-h recalls in adults with type 1 diabetes.Frontiers in nutrition · 2024Article
- The Use of a Decision Support System (MyFood) to Assess Dietary Intake Among Free-Living Older Adults in Norway: Evaluation Study.JMIR mHealth and uHealth · 2023Article
- Design and Development of 'Diet DQ Tracker': A Smartphone Application for Augmenting Dietary Assessment.Nutrients · 2023Article
- Article
- Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring.Nutrients · 2022Article
- 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
- Article
- Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.Advances in nutrition (Bethesda, Md.) · 2022Article
- Performance of the Digital Dietary Assessment Tool MyFoodRepo.Nutrients · 2022Article
- Development of a mobile application to assess Brazilian schoolchildren's diet: CADE - food consumption at home and at school.Journal of nutritional science · 2022Article
- Dietary Intake and Health Status of Elderly Patients With Type 2 Diabetes Mellitus: Cross-sectional Study Using a Mobile App in Primary Care.JMIR formative research · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Measures that capture diet as validly and reliably as possible are cornerstones of nutritional research, and mobile-based devices offer new opportunities to improve and simplify data collection. The balance between precision and acceptability of these data collection tools remains debated, and rigorous validations are warranted. Our objective was to develop and evaluate an electronic mobile-based food record for a research setting. We developed e-CA, which includes almost 900 foods and beverages classified in 14 categories and 60 subcategories. e-CA was evaluated using three different methods: (1) usability and acceptability through a logbook and qualitative interviews; (2) dietary intake accuracy through comparison with 2 unannounced 24-h phone recalls on overlapping days; and (3) reliability and process comparison with a paper-based food record in a laboratory setting with a randomized design. e-CA proved to be intuitive and practical and was perceived as modern, trendy, and fun. Comparisons of e-CA with 24-h telephone recalls or paper-based food records in a laboratory setting with two small convenient samples showed good agreement but highlighted the well-known difficulty of estimating portion sizes and a necessary learning time to use the app. e-CA is a functional tool that has the potential to facilitate food intake measurement for research by increasing the pleasure of using the food record tool and reducing the perceived burden for the participants. It also decreases the workload, costs and the risk of transcription errors for researchers.
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