This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2754) Mobile Health (mhealth) (3112) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (528) mHealth for Wellness, Behavior Change and Prevention (3058) Innovations and Technology for Physical Activity Education (804) Prevention and Health Promotion (1105)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48435, first published .
The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study

The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study

The Efficacy of an mHealth App in Facilitating Weight Loss Among Japanese Fitness Center Members: Regression Analysis Study

Authors of this article:

Akifumi Eguchi1, 2 Author Orcid Image ;   Yumi Kawamura2 Author Orcid Image ;   Takayuki Kawashima2, 3 Author Orcid Image ;   Cyrus Ghaznavi2, 4 Author Orcid Image ;   Keiko Ishimura5 Author Orcid Image ;   Shun Kohsaka6 Author Orcid Image ;   Satoru Matsuo7 Author Orcid Image ;   Shinichiro Mizuno5 Author Orcid Image ;   Yuki Sasaki5 Author Orcid Image ;   Arata Takahashi2 Author Orcid Image ;   Yuta Tanoue2, 8 Author Orcid Image ;   Daisuke Yoneoka9, 10 Author Orcid Image ;   Hiroaki Miyata2, 10 Author Orcid Image ;   Shuhei Nomura2, 10, 11 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Shi Y, Sasaki Y, Ishimura K, Mizuno S, Nakata Y. Exploring Determinants of Successful Weight Loss with the Use of a Smartphone Healthcare Application: Secondary Analysis of a Randomized Clinical Trial. Nutrients 2024;16(13):2108 View
  2. Weingott S, Parkinson J. The application of artificial intelligence in health communication development: A scoping review. Health Marketing Quarterly 2025;42(1):67 View
  3. Mantello P, Ghotbi N, Ho M, Mizutani F. Gauging public opinion of AI and emotionalized AI in healthcare: findings from a nationwide survey in Japan. AI & SOCIETY 2024 View
  4. Eguchi K, Kubota T, Koyanagi T, Muto M. Real-World Data on Alcohol Consumption Behavior Among Smartphone Health Care App Users in Japan: Retrospective Study. Online Journal of Public Health Informatics 2025;17:e57084 View