ArticleBioPsychoSocial medicine2025
Mobile Health (mHealth) Technology for Eating-Related Behaviour and Health Problems Related to Obesity in Japan: a Systematic Review.
Article in BioPsychoSocial medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- A Methodological Framework for Aggregating Branded Food Composition Data in mHealth Nutrition Databases: A Case Presentation.Nutrients · 2026Article
- Beyond the digital divide: multi-group SEM examination of socioeconomic status, mHealth utilization, and urban-rural physical activity disparities in Indonesia.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver the past decade, mobile health (mHealth) technologies have been increasingly utilised to address eating behaviours and diet-related chronic diseases. Nevertheless, research assessing the momentary clinical characteristics of these conditions remains limited in Japan. This study provides an up-to-date overview of research using Ecological Momentary Assessment (EMA) technologies in Japanese clinical and non-clinical samples through a systematic review.
methodsWe reviewed studies extracted from MEDLINE via PubMed, Web of Science Core Collection and Scopus databases, spanning the period from 2004 to 2024. Our systematic review followed the "gold standard" Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Additionally, the Checklist for Reporting EMA Studies (CREMAS) was used to evaluate the quality of included studies.
resultsFrom an initial pool of 32 potential articles, 4 studies met the inclusion criteria. A total of 75% of the studies were identified as using Personal Digital Assistants (PDAs) as the primary mHealth technology for EMA data collection.
conclusionAvailable evidence suggests that the use of a PDA-based approach may help improve the management of eating behaviour and monitoring diet-related chronic conditions in the Japanese population. Furthermore, integrating EMA into clinical practice could enhance the effectiveness of existing treatments and support ongoing health monitoring.
Identifiers
What Socratic 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 Socratic graph.