Trial reportJournal of medical Internet research2016
A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.
Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01530139 (Personalised Nutrition), which is not on this map. Cited by 26 papers, 1 of them a synthesis 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.
Personalised Nutrition: An Integrative Analysis of Opportunities and Challenges
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- Effect of Personalized Nutrition on Dietary, Physical Activity, and Health Outcomes: A Systematic Review of Randomized Trials.Nutrients · 2022Pooled it
- Sustainable diets reduce diet-related greenhouse gas emissions and improve diet quality: results from the MyPlanetDiet randomized controlled trial.The American journal of clinical nutrition · 2025Trial
- Personalised nutrition advice reduces intake of discretionary foods and beverages: findings from the Food4Me randomised controlled trial.The international journal of behavioral nutrition and physical activity · 2021Trial
- Impact on Dietary Intake of Two Levels of Technology-Assisted Personalized Nutrition: A Randomized Trial.Nutrients · 2020Trial
- Trial
- Using Large Language Models to Generate Dietary Feedback Similar to Human Experts in Weight Management: Experiments on Real-World Scenario Data.Bioengineering (Basel, Switzerland) · 2026Article
- The development and evaluation of a quality assessment framework for reuse of dietary intake data: an FNS-Cloud study.Frontiers in nutrition · 2025Article
- Developing and testing personalised nutrition feedback for more sustainable healthy diets: the MyPlanetDiet randomised controlled trial protocol.European journal of nutrition · 2024Article
- Developing a Personalized Meal Recommendation System for Chinese Older Adults: Observational Cohort Study.JMIR formative research · 2024Article
- Design Issues in Personalized Nutrition Advice Systems.Journal of medical Internet research · 2023Article
- A Short Digital Food Frequency Questionnaire (DIGIKOST-FFQ) Assessing Dietary Intake and Other Lifestyle Factors Among Norwegians: Qualitative Evaluation With Focus Group Interviews and Usability Testing.JMIR formative research · 2022Article
- A Clustering Approach to Meal-Based Analysis of Dietary Intakes Applied to Population and Individual Data.The Journal of nutrition · 2022Article
- The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users' Experiences.JMIR formative research · 2022Article
- Machine and cognitive intelligence for human health: systematic review.Brain informatics · 2022Review
- Article
- Exploring the Potential of Personalized Dietary Advice for Health Improvement in Motivated Individuals With Premetabolic Syndrome: Pretest-Posttest Study.JMIR formative research · 2021Article
- MCR: Open-Source Software to Automate Compilation of Health Study Report-Back.International journal of environmental research and public health · 2021Article
- Optimisation of a metabotype approach to deliver targeted dietary advice.Nutrition & metabolism · 2020Article
- Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology.Frontiers in nutrition · 2020Review
- Comparison of Nutrigenomics Technology Interface Tools for Consumers and Health Professionals: A Sequential Explanatory Mixed Methods Investigation.Journal of medical Internet research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors at 11 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.
objectiveThe objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.
methodsThe development of the dietary feedback system included 4 components: (1) designing a system for categorizing nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3) constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.
resultsSaturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers. Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%, respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.
conclusionsThe dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems for personalizing dietary advice.
trial registrationClinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I).
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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.