Published on in Vol 20, No 3 (2018): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9738, first published .
Expert Coaching in Weight Loss: Retrospective Analysis

Expert Coaching in Weight Loss: Retrospective Analysis

Expert Coaching in Weight Loss: Retrospective Analysis

Journals

  1. Ryan K, Murphy L, Linehan C, Dockray S. Theory in practice: identifying theory-based techniques in health coaches’ tailored feedback during a weight loss intervention. Psychology & Health 2020;35(11):1384 View
  2. Tkacova R. Erickson health coaching: An innovative approach for weight management in obese patients with obstructive sleep apnoea?. Medical Hypotheses 2018;120:43 View
  3. DeJesus R, Bauer K, Bradley D, Haller I, Bradley S, Schroeder D, St. Sauver J, Phelan S, Croghan I. Experience and expectations of patients on weight loss: The Learning Health System Network Experience. Obesity Science & Practice 2019;5(5):479 View
  4. Painter S, Lu W, Schneider J, James R, Shah B. Drivers of weight loss in a CDC-recognized digital diabetes prevention program. BMJ Open Diabetes Research & Care 2020;8(1):e001132 View
  5. Tkacova R, Paranicova I, Timkova E, Vonkova D, Joppa P. Erickson solution-focused coaching for weight management in obese patients with obstructive sleep apnoea: ECOHEALTH pilot study. Journal of Health Psychology 2020;25(13-14):2141 View
  6. Liu Y, Yin Z. Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques. Journal of Medical Internet Research 2020;22(6):e13745 View
  7. Arnold E, Swendeman D, Harris D, Fournier J, Kozina L, Abdalian S, Rotheram M. The Stepped Care Intervention to Suppress Viral Load in Youth Living With HIV: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(2):e10791 View
  8. Kim H, Kim Y, Park Y. Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study. JMIR mHealth and uHealth 2021;9(3):e22183 View
  9. JaKa M, Dinh J, Rivard R, Herrmann S, Spoonheim J, Pronk N, Ziegenfuss J. Pragmatic Evaluation of a Health System-Based Employee Weight Management Program. International Journal of Environmental Research and Public Health 2021;18(11):5901 View
  10. Ramuth E, Ramuth S, Pavão T, Biacchi K, Bachi A. From Young to Older, the 4 Phases Method Is Efficient in Promoting Quick Weight, BMI, and Waist Circumference Reductions. Healthcare 2022;10(8):1398 View
  11. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497 View
  12. Mousavi H, Karandish M, Jamshidnezhad A, Hadianfard A. Determining the effective factors in predicting diet adherence using an intelligent model. Scientific Reports 2022;12(1) View
  13. Sponselee H, Kroeze W, Robroek S, Renders C, Steenhuis I. Perceptions of employees with a low and medium level of education towards workplace health promotion programmes: a mixed-methods study. BMC Public Health 2022;22(1) View
  14. Sforzo G, Kaye M, Faber A, Moore M. Dosing of Health and Wellness Coaching for Obesity and Type 2 Diabetes: Research Synthesis to Derive Recommendations. American Journal of Lifestyle Medicine 2023;17(3):374 View
  15. Whiteley J, Tjaden A, Bailey C, Faro J, DiPietro L, Hayman L, Napolitano M. Engagement with Digital Weight Loss Intervention Components and Weight Outcomes. Journal of Technology in Behavioral Science 2024;9(4):714 View
  16. Chueh T, Wang Z, Ngu Y, Lin P, Owaga E, Hsieh R. A Mobile-Based Nutrition Tracker App Enhanced Dietitian-Guided 2:1:1 Diet-Induced Weight Loss: An 8-Week Retrospective Cohort Study in Taiwan. Nutrients 2024;16(14):2331 View