SynthesisNutrients2022
Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults.
Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 5 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
33 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Engaging Patients with Heart Failure in Diet and Nutritional Health Behaviors Through mHealth Applications - A Restricted, Systematic Review.Current heart failure reports · 2026Pooled it
- Empowering Health Through Digital Lifelong Prevention: An Umbrella Review of Apps and Wearables for Nutritional Management.Nutrients · 2025Pooled it
- The Effect of Nutritional Mobile Apps on Populations With Cancer: Systematic Review.JMIR cancer · 2025Pooled it
- The transformative power of mHealth apps: empowering patients with obesity and diabetes - a narrative review.Journal of medicine and life · 2024Pooled it
- The impact of smartphone app-based interventions on adolescents' dietary intake: a systematic review and evaluation of equity factor reporting in intervention studies.Nutrition reviews · 2024Pooled it
- Article
- SmartAPPetite For Youth: pilot and feasibility study of an adolescent smartphone nutrition intervention.Pilot and feasibility studies · 2026Article
- A Methodological Framework for Aggregating Branded Food Composition Data in mHealth Nutrition Databases: A Case Presentation.Nutrients · 2026Article
- Dietary Management Experiences and Educational Needs of Patients in the Recovery Phase of Pancreatitis: A Descriptive Phenomenological Study.Patient preference and adherence · 2026Article
- Digital communication tools used to promote healthy lifestyles: an overview of reviews from the BRIDGE project.Frontiers in digital health · 2026Review
- Functionality and quality assessment of Iranian nutrition-related apps using the mobile app rating scale.Journal of education and health promotion · 2026Article
- Dietary behaviors, nutrition-monitoring technology use, and their socio-demographic determinants among Moroccan adults: a cross-sectional study.Frontiers in nutrition · 2026Article
- SWITCHtoHEALTHY AI-Based Family Nutrition Recommendation System: Promoting the Mediterranean Diet.Nutrients · 2025Article
- Efficacy of FiberMore, an AI-Based mHealth Intervention to Increase Dietary Fiber Intake Among Type 2 Diabetes Patients: Protocol for a Pilot Randomized Controlled Trial.JMIR research protocols · 2025Article
- Review
- Integrating Precision Medicine and Digital Health in Personalized Weight Management: The Central Role of Nutrition.Nutrients · 2025Review
- What Matters Most to Veterans When Deciding to Use Technology for Health: Cross-Sectional Analysis of a National Survey.JMIR formative research · 2025Article
- Nutrition-Related Mobile Apps in the Spanish App Stores: Quality and Content Analysis.JMIR mHealth and uHealth · 2024Article
- Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity.Life (Basel, Switzerland) · 2024Article
- The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy Levels.Journal of personalized medicine · 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
4 authors.
Funding
Abstract
The use of mobile applications for dietary purposes has dramatically increased along with the consistent development of mobile technology. Assessing diet quality as a dietary pattern or an indicator across key food groups in comparison to those recommended by dietary guidelines is useful for identifying optimal nutrient intake. This systematic review aims to explore mobile applications and their impact on the diet quality of the user. The electronic databases of The Cumulative Index to Nursing and Allied Health Literature (Cinahl), The American Psychological Association's (APA Psycinfo), and PubMed were systematically searched for randomised and non-randomised controlled trials to retrieve papers from inception to November 2021. Ten studies with 1638 participants were included. A total of 5342 studies were retrieved from the database searches, with 10 articles eligible for final inclusion in the review. The sample sizes ranged from 27 to 732 participants across the included studies, with 1638 total participants. The ratio of female to male participants in the studies was 4:1. The majority of the mobile applications or M-health interventions were used to highlight dietary health changes (six studies), with the remainder used to reduce weight or blood sugar levels (four studies). Each study used a different measure to quantify diet quality. Studies were either assessed by diet quality scoring or individual dietary assessment, of the ten studies, six studies reported an improvement in diet quality following diet-related mobile application use. Mobile applications may be an effective way to improve diet quality in adults; however, there is a need for more targeted and longer-term studies that are expressly designed to investigate the impact using mobile applications has on diet quality.
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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.