ReviewFrontiers in nutrition2020
Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology.
Review in Frontiers in nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Carbon Isotope Ratios as Biomarkers for Added Sugar Intake: Fundamental Limitations that Constrain Valid Application.The Journal of nutrition · 2026Review
- Advances and opportunities in measuring dietary intake: from omics to AI.Nature metabolism · 2026Review
- Standardized Methods for Evaluating Physical and Eating Behaviors: The WEALTH Cross-Sectional Study Protocol.JMIR research protocols · 2026Article
- 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
- Longitudinal Interaction Between Individualized Gut Microbial Dynamics and Diet Is Associated with Metabolic Health in School-Aged Children.Nutrients · 2026Observational
- Nutritional optimization of fecal microbiota transplantation in humans: a scoping review.Gut microbes · 2025Article
- Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study.Journal of medical Internet research · 2025Article
- Disordered eating behavior and dietary intake prior to metabolic and bariatric surgery.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2024Article
- Article
- Identifying stakeholder priorities in use of wearable cameras for researching parent-child interactions.Frontiers in child and adolescent psychiatry · 2023Article
- Collecting Food and Drink Intake Data With Voice Input: Development, Usability, and Acceptability Study.JMIR mHealth and uHealth · 2023Article
- Exploring the Applicability of General Dietary Recommendations for People Affected by Obesity.Nutrients · 2023Article
- Are commonly used lab-based measures of food value and choice predictive of self-reported real-world snacking? An ecological momentary assessment study.British journal of health psychology · 2023Article
- Editorial: Digital approaches in the nutritional prevention and management of chronic diseases.Frontiers in nutrition · 2023Article
- Perspective: A Framework for Addressing Dynamic Food Consumption Processes.Advances in nutrition (Bethesda, Md.) · 2022Article
- Article
- A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.Sensors (Basel, Switzerland) · 2022Article
- [Web search data as health data? : Geographic differences, temporal trends, and topics of interest from internet search engine analyses in Germany].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2022Review
- Precision nutrition: Maintaining scientific integrity while realizing market potential.Frontiers in nutrition · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Established methods for nutritional assessment suffer from a number of important limitations. Diaries are burdensome to complete, food frequency questionnaires only capture average food intake, and both suffer from difficulties in self estimation of portion size and biases resulting from misreporting. Online and app versions of these methods have been developed, but issues with misreporting and portion size estimation remain. New methods utilizing passive data capture are required that address reporting bias, extend timescales for data collection, and transform what is possible for measuring habitual intakes. Digital and sensing technologies are enabling the development of innovative and transformative new methods in this area that will provide a better understanding of eating behavior and associations with health. In this article we describe how wrist-worn wearables, on-body cameras, and body-mounted biosensors can be used to capture data about when, what, and how much people eat and drink. We illustrate how these new techniques can be integrated to provide complete solutions for the passive, objective assessment of a wide range of traditional dietary factors, as well as novel measures of eating architecture, within person variation in intakes, and food/nutrient combinations within meals. We also discuss some of the challenges these new approaches will bring.
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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.