Published on in Vol 24, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35285, first published .
The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes

The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes

The Aim2Be mHealth Intervention for Children With Overweight or Obesity and Their Parents: Person-Centered Analyses to Uncover Digital Phenotypes

Journals

  1. Reschke F, Kapitzke K, Weiskorn J, Galuschka L, Meister D, Sadeghian E, Guntermann C, von Stülpnagel K, Weiner C, Danne T. Telehealth als Therapieoption in der juvenilen Adipositasprävention. Die Diabetologie 2023;19(1):28 View
  2. Deslippe A, González O, Buckler E, Ball G, Ho J, Bucholz A, Morrison K, Mâsse L. Do Individual Characteristics and Social Support Increase Children's Use of an MHealth Intervention? Findings from the Evaluation of a Behavior Change MHealth App, Aim2Be. Childhood Obesity 2023;19(7):435 View
  3. Tugault-Lafleur C, De-Jongh González O, Macdonald J, Bradbury J, Warshawski T, Ball G, Morrison K, Ho J, Hamilton J, Buchholz A, Mâsse L. Efficacy of the Aim2Be Intervention in Changing Lifestyle Behaviors Among Adolescents With Overweight and Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e38545 View
  4. Buckler E, González O, Ball G, Hamilton J, Ho J, Morrison K, Mâsse L. Recruiting families using social media versus pediatric obesity clinics: A secondary analysis of the Aim2Be RCT. Contemporary Clinical Trials 2023;133:107322 View
  5. Desmet M, Fillon A, Thivel D, Tanghe A, Braet C. Attrition rate and predictors of a monitoring mHealth application in adolescents with obesity. Pediatric Obesity 2023;18(11) View
  6. Larizza C, Bosoni P, Quaglini S, Chasseur M, Bevolo V, Zuccotti G, Calcaterra V. V-care: An application to support lifestyle improvement in children with obesity. International Journal of Medical Informatics 2023;177:105140 View
  7. Singh B, Olds T, Brinsley J, Dumuid D, Virgara R, Matricciani L, Watson A, Szeto K, Eglitis E, Miatke A, Simpson C, Vandelanotte C, Maher C. Systematic review and meta-analysis of the effectiveness of chatbots on lifestyle behaviours. npj Digital Medicine 2023;6(1) View
  8. Schaafsma H, Jantzi H, Seabrook J, McEachern L, Burke S, Irwin J, Gilliland J. The impact of smartphone app–based interventions on adolescents’ dietary intake: a systematic review and evaluation of equity factor reporting in intervention studies. Nutrition Reviews 2024;82(4):467 View
  9. Porri D, Morabito L, Cavallaro P, La Rosa E, Li Pomi A, Pepe G, Wasniewska M. Time to act on childhood obesity: the use of technology. Frontiers in Pediatrics 2024;12 View
  10. 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
  11. Clements M, Kaufman N, Mel E. Using Digital Health Technology to Prevent and Treat Diabetes. Diabetes Technology & Therapeutics 2024;26(S1):S-90 View
  12. Ajja R, Skelton J, Peluso A, Singletary C, Cohen G, Turner-Mcgrievy G, Ip E, Miller D, Moore J. Randomized Clinical Trial to Increase Self-Monitoring of Physical Activity and Eating Behaviors in Youth: A Feasibility Study. Translational Journal of the American College of Sports Medicine 2024;9(4) View