ArticleNutrients2022
Digital Biomarkers for Personalized Nutrition: Predicting Meal Moments and Interstitial Glucose with Non-Invasive, Wearable Technologies.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.
- Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review.Journal of medical Internet research · 2024Pooled it
- Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis.Sports medicine - open · 2023Pooled it
- A Real-Life Digital Intervention for Personalized Nutrition in Adults With Overweight or Obesity: Remote Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Differential effects of lifestyle interventions on continuous glucose monitoring metrics in persons with type 2 diabetes: Potential for personalised treatment.Diabetes, obesity & metabolism · 2025Trial
- A Dual-Port, Smartphone-Linked, Pocket-Size Fluorimeter for Rapid Molecular Diagnostic Assays at Point of Care.IEEE sensors journal · 2026Article
- Leveraging Digital Health Technologies to Assess Older Adults' Frailty and Nutritional Status: Two Cross-Sectional Studies.JMIR aging · 2026Observational
- Digital Tools and Chrononutrition: The Role of Wearables, Continuous Glucose Monitoring, and Apps.Journal of pharmacy & bioallied sciences · 2026Review
- Integrating Sensory Perception and Wearable Monitoring to Promote Healthy Aging: A New Frontier in Nutritional Personalization.Nutrients · 2026Review
- Precision nutrition in Asian populations: a Multi-omics review of mechanisms, biomarkers, and implementation pathways.Journal of nutritional science · 2026Review
- Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity.Food science & nutrition · 2025Review
- Feasibility, Acceptability, and Validity of Home Continuous Glucose Monitoring-Based Oral Glucose Tolerance Test in Youth.The Journal of clinical endocrinology and metabolism · 2025Observational
- Development of Non-Invasive Continuous Glucose Prediction Models Using Multi-Modal Wearable Sensors in Free-Living Conditions.Sensors (Basel, Switzerland) · 2025Article
- Differential impact of lifestyle factors on 2-hour glucose values in individuals with type 2 diabetes: potential for more personalized interventions.BMJ open diabetes research & care · 2024Article
- Validation and user experience of a dry electrode based Health Patch for heart rate and respiration rate monitoring.Scientific reports · 2024Article
- Mealtime prediction using wearable insulin pump data to support diabetes management.Scientific reports · 2024Article
- Definitions of digital biomarkers: a systematic mapping of the biomedical literature.BMJ health & care informatics · 2024Review
- Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism.Scientific reports · 2024Article
- Article
- Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity.Journal of diabetes science and technology · 2024Article
- Enhancing Wearable Sensor Data Classification Through Novel Modified- Recurrent Plot-Based Image Representation and Mixup Augmentation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 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
5 authors at 1 institution in 1 country.
Funding
Abstract
Digital health technologies may support the management and prevention of disease through personalized lifestyle interventions. Wearables and smartphones are increasingly used to continuously monitor health and disease in everyday life, targeting health maintenance. Here, we aim to demonstrate the potential of wearables and smartphones to (1) detect eating moments and (2) predict and explain individual glucose levels in healthy individuals, ultimately supporting health self-management. Twenty-four individuals collected continuous data from interstitial glucose monitoring, food logging, activity, and sleep tracking over 14 days. We demonstrated the use of continuous glucose monitoring and activity tracking in detecting eating moments with a prediction model showing an accuracy of 92.3% (87.2-96%) and 76.8% (74.3-81.2%) in the training and test datasets, respectively. Additionally, we showed the prediction of glucose peaks from food logging, activity tracking, and sleep monitoring with an overall mean absolute error of 0.32 (+/-0.04) mmol/L for the training data and 0.62 (+/-0.15) mmol/L for the test data. With Shapley additive explanations, the personal lifestyle elements important for predicting individual glucose peaks were identified, providing a basis for personalized lifestyle advice. Pending further validation of these digital biomarkers, they show promise in supporting the prevention and management of type 2 diabetes through personalized lifestyle recommendations.
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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 Socratic graph.