Published on in Vol 6, No 1 (2018): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8719, first published .
Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial

Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial

Importance of Active Participation in Obesity Management Through Mobile Health Care Programs: Substudy of a Randomized Controlled Trial

Journals

  1. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  2. Weerahandi H, Paul S, Quintiliani L, Chokshi S, Mann D. A Mobile Health Coaching Intervention for Controlling Hypertension: Single-Arm Pilot Pre-Post Study. JMIR Formative Research 2020;4(5):e13989 View
  3. Yang W, Spaulding E, Lumelsky D, Hung G, Huynh P, Knowles K, Marvel F, Vilarino V, Wang J, Shah L, Xun H, Shan R, Wongvibulsin S, Martin S. Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study. JMIR mHealth and uHealth 2019;7(12):e16391 View
  4. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and Mobile Health Technology in Rehabilitation. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):485 View
  5. Silva S, Felgueiras R, Oliveira I. Geriatric Helper: An mHealth Application to Support Comprehensive Geriatric Assessment. Sensors 2018;18(4):1285 View
  6. Sittig S, McGowan A, Iyengar S. Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions. Journal of Medical Systems 2020;44(7) View
  7. Seo Y, Salonurmi T, Jokelainen T, Karppinen P, Teeriniemi A, Han J, Park K, Oinas-Kukkonen H, Savolainen M. Lifestyle counselling by persuasive information and communications technology reduces prevalence of metabolic syndrome in a dose–response manner: a randomized clinical trial (PrevMetSyn). Annals of Medicine 2020;52(6):321 View
  8. Najm A, Gossec L, Weill C, Benoist D, Berenbaum F, Nikiphorou E. Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review. JMIR mHealth and uHealth 2019;7(11):e14730 View
  9. Spaulding E, Marvel F, Piasecki R, Martin S, Allen J. User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review. JMIR Cardio 2021;5(1):e18834 View
  10. Chen D, Ye Z, Shao J, Tang L, Zhang H, Wang X, Qiu R, Zhang Q. Effect of electronic health interventions on metabolic syndrome: a systematic review and meta-analysis. BMJ Open 2020;10(10):e036927 View
  11. Park J, Im M, Baek S, Park C, Hwang G, Kim W, Oh Y, Cho A, Jo J. Current Status and Needs Assessment for Obesity Prevention and Management Project at Public Health Centers. Journal of Korean Academy of Community Health Nursing 2021;32(3):368 View
  12. Yang A, Singh N, Varshney U. Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework. Journal of Medical Systems 2022;46(10) View
  13. Char A, Gaudel P, Kulathinal S, Kinnunen T. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181 View
  14. Metzendorf M, Wieland L, Richter B. Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity. Cochrane Database of Systematic Reviews 2024;2024(2) View