Yoshiuchi Kazuhiro, Brytek-Matera Anna
Department of Psychosomatic Medicine, The University of Tokyo Hospital, Tokyo, Japan.
Department of Stress Sciences and Psychosomatic Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Biopsychosoc Med. 2025 Jun 16;19(1):8. doi: 10.1186/s13030-025-00331-1.
Over 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.
We 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.
From 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.
Available 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.
在过去十年中,移动健康(mHealth)技术越来越多地被用于解决饮食行为和与饮食相关的慢性病问题。然而,在日本,评估这些疾病瞬时临床特征的研究仍然有限。本研究通过系统评价,对日本临床和非临床样本中使用生态瞬时评估(EMA)技术的研究进行了最新综述。
我们检索了2004年至2024年期间从MEDLINE通过PubMed、科学网核心合集和Scopus数据库提取的研究。我们的系统评价遵循“金标准”《系统评价和Meta分析的首选报告项目》(PRISMA)指南。此外,还使用了EMA研究报告清单(CREMAS)来评估纳入研究的质量。
从最初的32篇潜在文章中,有4项研究符合纳入标准。共有75%的研究被确定为使用个人数字助理(PDA)作为EMA数据收集的主要移动健康技术。
现有证据表明,基于PDA的方法可能有助于改善日本人群饮食行为的管理和与饮食相关慢性病的监测。此外,将EMA整合到临床实践中可以提高现有治疗的有效性,并支持持续的健康监测。