ArticleNutrients2021
Using Wearable Cameras to Assess Foods and Beverages Omitted in 24 Hour Dietary Recalls and a Text Entry Food Record App.
Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review Examining Contributors to Misestimation of Food and Beverage Intake Based on Short-Term Self-Report Dietary Assessment Instruments Administered to Adults.Advances in nutrition (Bethesda, Md.) · 2022Pooled 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
- The Feasibility of Smartwatch Micro-Ecological Momentary Assessment for Tracking Eating Patterns of Malaysian Children and Adolescents in the South-East Asian Community Observatory Child Health Update 2020: Cross-Sectional Study.Journal of medical Internet research · 2026Article
- Multiple physiological and behavioural parameters identification for dietary monitoring using wearable sensors: a study protocol.BMC nutrition · 2025Article
- Minimum days estimation for reliable dietary intake information: findings from a digital cohort.European journal of clinical nutrition · 2025Article
- Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools-a scoping review of potential applications.Frontiers in nutrition · 2025Review
- The association between diet quality and chrononutritional patterns in young adults.European journal of nutrition · 2024Article
- Benchmarking online food delivery applications against menu labelling laws: a cross-sectional observational analysis.Public health nutrition · 2024Observational
- A Smartphone Food Record App Developed for the Dutch National Food Consumption Survey: Relative Validity Study.JMIR mHealth and uHealth · 2024Article
- Automated wearable cameras for improving recall of diet and time use in Uganda: a cross-sectional feasibility study.Nutrition journal · 2023Article
- Using Popular Foods Consumed to Inform Development of Digital Tools for Dietary Assessment and Monitoring.Nutrients · 2022Article
- Improved Wearable Devices for Dietary Assessment Using a New Camera System.Sensors (Basel, Switzerland) · 2022Article
- Wearable Cameras Reveal Large Intra-Individual Variability in Timing of Eating among Young Adults.Nutrients · 2022Article
- Article
- The energy density of meals and snacks consumed by young Australian adults (18-30 years old) are influenced by preparation location but not screen use nor social interactions: findings from the MYMeals wearable camera study.Journal of nutritional science · 2022Article
- Feasibility of wearable camera use to improve the accuracy of dietary assessment among adults.Journal of nutritional science · 2022Article
- Enhancing Nutrition Care Through Real-Time, Sensor-Based Capture of Eating Occasions: A Scoping Review.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Technology-enhanced methods of dietary assessment may still face common limitations of self-report. This study aimed to assess foods and beverages omitted when both a 24 h recall and a smartphone app were used to assess dietary intake compared with camera images. For three consecutive days, young adults (18-30 years) wore an Autographer camera that took point-of-view images every 30 seconds. Over the same period, participants reported their diet in the app and completed daily 24 h recalls. Camera images were reviewed for food and beverages, then matched to the items reported in the 24 h recall and app. ANOVA (with post hoc analysis using Tukey Honest Significant Difference) and paired
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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.