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

Web-based and Mobile Health Interventions (4018) mHealth for Wellness, Behavior Change and Prevention (3315) Obesity and Nutrition as Public Health Problem (397) Cardiovascular Disease Prevention (206) Prevention and Health Promotion (1362) Behavior Change (863) Mobile Health (mhealth) (3464)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49257, first published .
Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study

Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study

Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study

Authors of this article:

Dandan Chen1 Author Orcid Image ;   Hui Zhang2 Author Orcid Image ;   Jingjie Wu1 Author Orcid Image ;   Erxu Xue1 Author Orcid Image ;   Pingping Guo3 Author Orcid Image ;   Leiwen Tang4 Author Orcid Image ;   Jing Shao5 Author Orcid Image ;   Nianqi Cui6 Author Orcid Image ;   Xiyi Wang7 Author Orcid Image ;   Liying Chen1 Author Orcid Image ;   Zhihong Ye1 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Gou R, Xiong S, Liang X, Wu H, Qin S, Li B, Luo C, Chen J. Relationship between Life’s Essential 8 and metabolic syndrome among older Americans (NHANES, 2007–2010): navigating biological aging and inflammation. Frontiers in Medicine 2024;11 View
  2. Zhang K, Cao B, Fang Y, Liang X, Ye D, Chen Y, Zhong R, Cao H, Hu T, Li T, Cai Y, Zou H, Wang Z. Comparing the Efficacy of 2 WeChat Mini Programs in Reducing Nonmarital Heterosexual Contact by Male Factory Workers: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e49362 View
  3. Goldman O, Ben-Assuli O, Ababa S, Rogowski O, Berliner S. Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine. Health Informatics Journal 2025;31(1) View
  4. Alipour P, El-Aghil M, Foo A, Azizi Z. Leveraging Mobile Health and Wearable Technologies for the Prevention and Management of Atherosclerotic Cardiovascular Disease. Current Atherosclerosis Reports 2025;27(1) View
  5. Xu Y, Huang Q, Teng S, Wang Y, Sun H, Li M, Li J, Zhu M, Tang X. Aged smart-care application program for promoting quality of life among older adults in the community: Study protocol of a three-arm randomized controlled trial. DIGITAL HEALTH 2025;11 View
  6. Duan Y, Liang W, Guo L, Zhan H, Xia C, Ma H, Shang B, Wang Y, Yang M, Cheng S. Effectiveness of a WeChat Mini Program–Based Intervention on Promoting Multiple Health Behavior Changes Among Chinese Patients With Cardiovascular Diseases in Home-Based Rehabilitation: Randomized Controlled Trial. Journal of Medical Internet Research 2025;27:e66249 View
  7. Wang J, Yang S, Wang J, Zhu B, Wang Y, Zhao L, Wang W, Li G, Wang F, Wang X. Impact of a mobile health intervention on health management among children with phenylketonuria based on a multi-theory model of the behavior change wheel theory and family health theory: protocol for a randomized controlled trial. Frontiers in Psychiatry 2025;16 View
  8. Xiang T, Chen J, Fang J, Zhu M, Zheng S, Yu W, Qin J. Cross‐Cultural Adaptation and Validation of a Psychological Scale for Bariatric Surgery: The BariTest. Journal of Evaluation in Clinical Practice 2025;31(4) View
  9. Asad A, Sturrock B, Carter J, Saunders J, Cassell J, Rait G, McDonagh L. General practice chlamydia testing: a qualitative study of staff approaches using behavioural change theory. British Journal of General Practice 2025;75(758):e648 View