ReviewJMIR mHealth and uHealth2022
Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality.
Review in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 30 citations in OpenAlex.
- Evaluating function availability and user satisfaction with nutrition apps: user-generated content analysis and text mining study.Nutrition journal · 2026Article
- Functionality and quality assessment of Iranian nutrition-related apps using the mobile app rating scale.Journal of education and health promotion · 2026Article
- Cognitive Training Mobile Apps for Older Adults With Cognitive Impairment: App Store Search and Quality Evaluation.JMIR mHealth and uHealth · 2025Article
- Reviewing Mobile Apps for Teaching Human Anatomy: Search and Quality Evaluation Study.JMIR medical education · 2025Article
- Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis.JMIR mHealth and uHealth · 2024Article
- Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment.JMIR mHealth and uHealth · 2024Article
- Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.JMIR mHealth and uHealth · 2024Article
- Assessment of healthcare application quality: Development of a standardized methods for healthcare professionals.MethodsX · 2023Article
- The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques.JMIR mHealth and uHealth · 2023Article
- Mental Health Mobile Apps in the French App Store: Assessment Study of Functionality and Quality.JMIR mHealth and uHealth · 2022Article
- Evaluation of Oral Hygiene-Related Mobile Apps for Children in Sub-Saharan Africa.International journal of environmental research and public health · 2022Article
- Oral-Hygiene-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality.International journal of environmental research and public health · 2022Review
- Mobile-based program improves healthy eating of ulcerative colitis patients: A pilot study.Digital healthArticle
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe global burden of disease attributes 20% of deaths to poor nutrition. Although hundreds of nutrition-related mobile apps have been created, and these have been downloaded by millions of users, the effectiveness of these technologies on the adoption of healthy eating has had mixed.
objectiveThe aim of this study was to review which nutrition-related mobile apps are currently available on the French market and assess their quality.
methodsWe screened apps on the Google Play Store and the French Apple App Store, from March 10 to 17, 2021, to identify those related to nutritional health. A shortlist of 15 apps was identified, and each was assessed using the French version of the Mobile App Rating Scale: 8 dietitians and nutritionists assessed 7 apps, and the remaining apps were randomly allocated to ensure 4 assessments per app. Intraclass correlation was used to evaluate interrater agreement. Means and standard deviations of scores for each section and each item were calculated.
resultsThe top scores for overall quality were obtained by Yazio - Régime et Calories (mean 3.84, SD 0.32), FeelEat (mean 3.71, SD 0.47), and Bonne App (mean 3.65, SD 0.09). Engagement scores ranged from a mean of 1.95 (SD 0.5) for iEatBetter: Journal alimentaire to a mean of 3.85 (SD 0.44) for FeelEat. Functionality scores ranged from a mean of 2.25 (SD 0.54) for Naor to a mean of 4.25 (SD 0.46) for Yazio. Aesthetics scores ranged from a mean of 2.17 (SD 0.34) for Naor to a mean of 3.88 (SD 0.47) for Yazio. Information scores ranged from a mean of 2.38 (SD 0.60) for iEatBetter to a mean of 3.73 (SD 0.29) for Yazio. Subjective quality scores ranged from a mean of 1.13 (SD 0.25) for iEatBetter to a mean of 2.28 (SD 0.88) for Compteur de calories FatSecret. Specificity scores ranged from a mean of 1.38 (SD 0.64) for iEatBetter to a mean of 3.50 (SD 0.91) for FeelEat. The app-specific score was always lower than the subjective quality score, which was always lower than the quality score, which was lower than the rating from the iOS or Android app stores.
conclusionsAlthough prevention and information messages in apps regarding nutritional habits are not scientifically verified before marketing, we found that app quality was good. Subjective quality and specificity were associated with lower ratings. Further investigations are needed to assess whether information from these apps is consistent with recommendations and to determine the long-term impacts of these apps on users.
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.