ReviewNutrients2018
Evaluation of New Technology-Based Tools for Dietary Intake Assessment-An ILSI Europe Dietary Intake and Exposure Task Force Evaluation.
Review in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses 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
103 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Measuring dietary intake in low-and middle-income countries: a systematic review of the methods and tools for estimating fish and seafood intake.Nutrition reviews · 2024Pooled it
- Technology to Automatically Record Eating Behavior in Real Life: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- A Systematic Review and Meta-Analysis of Validation Studies Performed on Dietary Record Apps.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Global overview of dietary outcomes and dietary intake assessment methods in maritime settings: a systematic review.BMC public health · 2021Pooled it
- Speech Recognition-Based Dietary Assessment Tool for Older Adults: Validation and Usability Study.JMIR aging · 2026Trial
- A Real-Life Digital Intervention for Personalized Nutrition in Adults With Overweight or Obesity: Remote Randomized Controlled Trial.Journal of medical Internet research · 2026Trial
- Trial
- Dietary Intake Assessment Using a Novel, Generic Meal-Based Recall and a 24-Hour Recall: Comparison Study.Journal of medical Internet research · 2024Trial
- The effect of an app-based dietary intervention on diet-related greenhouse gas emissions - results from a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2023Trial
- Development of mobile phone-based dietary data collection applications in pregnant women and infants for the M-SAKHI trial.Journal of nutritional science · 2023Trial
- Comparing the Usability of the Web-Based 24-h Dietary Recall R24W and ASA24-Canada-2018 among French-Speaking Adults from Québec.Nutrients · 2022Trial
- Usability of myfood24 Healthcare and Mathematical Diet Optimisation in Clinical Populations: A Pilot Feasibility Randomised Controlled Trial.Nutrients · 2022Trial
- Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake.The Journal of nutrition · 2021Trial
- Digital and Technology-Enabled Approaches in Dietary Assessment: Addressing Bias, Error, and Feasibility in Population- and Community-Based Research.Advances in nutrition (Bethesda, Md.) · 2026Review
- Enhancing Practical Utility and Policy Integration of Ultra-Processed Food Screeners.Public health nutrition · 2026Article
- Validity of the PortionSize App for Assessing Children's Dietary Intake: Results From a Pilot Study Conducted in Controlled and Free-Living Settings.Pediatric obesity · 2026Article
- Development of an AI-Driven Computational Framework for Integrated Dietary Pattern Assessment: A Simulation-Based Proof-of-Concept Study.Nutrients · 2026Article
- Integration of modern technologies to advance dietary assessment.Nature food · 2026Review
- Validity and reliability of the Malaysian Healthy Diet Online Survey (MHDOS) for assessing diet quality in Malaysian adults.Asia Pacific journal of clinical nutrition · 2025Article
- Protocol of the validation of the experience sampling-based dietary assessment method (ESDAM) against doubly labeled water, urinary protein, and biomarkers.Nutrition journal · 2025Observational
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundNew technology-based dietary assessment tools, including Web-based programs, mobile applications, and wearable devices, may improve accuracy and reduce costs of dietary data collection and processing. The International Life Sciences Institute (ILSI) Europe Dietary Intake and Exposure Task Force launched this project to evaluate new tools in order to recommend general quality standards for future applications.
methodsA comprehensive literature search identified technology-based dietary assessment tools, including those published in English from 01/2011 to 09/2017, and providing details on tool features, functions and uses. Each of the 43 tools identified (33 for research and 10 designed for consumer use) was rated on 25 attributes.
resultsMost of the tools identified (79%) relied on self-reported dietary intakes. Most (91%) used text entry and 33% used digital images to help identify foods. Only 65% had integrated databases for estimating energy or nutrients. Fewer than 50% contained any features of customization and about half generated automatic reports. Most tools reported on usability or reported validity compared with another assessment method (77%). A set of Best Practice Guidelines was developed for reporting dietary assessment tools using new technology.
conclusionsDietary assessment methods that utilize technology offer many advantages for research and are often preferable to consumers over more traditional methods. In order to meet general quality standards, new technology tools require detailed publications describing tool development, food identification and quantification, customization, outputs, food composition tables used, and usability/validity testing.
Indexed as
Identifiers
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.