Published on in Vol 19, No 5 (2017): May

What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring

What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring

What Matters in Weight Loss? An In-Depth Analysis of Self-Monitoring

Journals

  1. Painter S, Ahmed R, Kushner R, Hill J, Lindquist R, Brunning S, Margulies A. Expert Coaching in Weight Loss: Retrospective Analysis. Journal of Medical Internet Research 2018;20(3):e92 View
  2. Bramante C, McTigue K, Lehmann H, Clark J, Rothenberger S, Kraschnewski J, Lent M, Herring S, Conroy M, McCullough J, Bennett W. Understanding Primary Care Patients’ Self-weighing Habits: Cohort Analysis from the PaTH Clinical Data Research Network. Journal of General Internal Medicine 2019;34(9):1775 View
  3. Turicchi J, O'Driscoll R, Finlayson G, Duarte C, Palmeira A, Larsen S, Heitmann B, Stubbs R. Data Imputation and Body Weight Variability Calculation Using Linear and Nonlinear Methods in Data Collected From Digital Smart Scales: Simulation and Validation Study. JMIR mHealth and uHealth 2020;8(9):e17977 View
  4. Nylocks K, Rafaeli E, Bar-Kalifa E, Flynn J, Coifman K. Testing the influence of negative and positive emotion on future health-promoting behaviors in a community sample. Motivation and Emotion 2019;43(2):285 View
  5. Eastman A, Dixon B, Ross K. Associations between effort, importance, and self‐monitoring during and after a 12‐week behavioural weight management program. Obesity Science & Practice 2020;6(5):447 View
  6. Brindal E, Hendrie G, Freyne J, Noakes M. A Mobile Phone App Designed to Support Weight Loss Maintenance and Well-Being (MotiMate): Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12882 View
  7. Kloek C, Janssen J, Veenhof C. Development of a Checklist to Assist Physiotherapists in Determination of Patients' Suitability for a Blended Treatment. Telemedicine and e-Health 2020;26(8):1051 View
  8. Yu Y, Sereika S, Finegold D, Burke L. Problem-solving, Adherence to Lifestyle Goals, and Weight Loss Among Individuals Participating in a Weight Loss Study. International Journal of Behavioral Medicine 2021;28(3):328 View
  9. Shoneye C, Mullan B, Begley A, Pollard C, Jancey J, Kerr D. Design and Development of a Digital Weight Management Intervention (ToDAy): Qualitative Study. JMIR mHealth and uHealth 2020;8(9):e17919 View
  10. 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
  11. Connor S. Underreporting of Dietary Intake: Key Issues for Weight Management Clinicians. Current Cardiovascular Risk Reports 2020;14(10) View
  12. Kim J, Kam H, Kim Y, Lee Y, Lee J. Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis. Journal of Medical Internet Research 2020;22(8):e17521 View
  13. Daley A, Jolly K, Bensoussane H, Ives N, Jebb S, Tearne S, Greenfield S, Yardley L, Little P, Tyldesley-Marshall N, Pritchett R, Frew E, Parretti H. Feasibility and acceptability of a brief routine weight management intervention for postnatal women embedded within the national child immunisation programme in primary care: randomised controlled cluster feasibility trial. Trials 2020;21(1) View
  14. Collins C, Morgan P, Hutchesson M, Oldmeadow C, Barker D, Callister R. Efficacy of Web-Based Weight Loss Maintenance Programs: A Randomized Controlled Trial Comparing Standard Features Versus the Addition of Enhanced Personalized Feedback over 12 Months. Behavioral Sciences 2017;7(4):76 View
  15. Attig C, Franke T. I track, therefore I walk – Exploring the motivational costs of wearing activity trackers in actual users. International Journal of Human-Computer Studies 2019;127:211 View
  16. Primack C. A review and critique of published real-world weight management program studies. Postgraduate Medicine 2018;130(6):548 View
  17. Massoomi M, Handberg E. Increasing and Evolving Role of Smart Devices in Modern Medicine. European Cardiology Review 2019;14(3):181 View
  18. Sypes E, Newton G, Lewis Z. Investigating the Use of an Electronic Activity Monitor System as a Component of Physical Activity and Weight-Loss Interventions in Nonclinical Populations: A Systematic Review. Journal of Physical Activity and Health 2019;16(4):294 View
  19. Ben Neriah D, Geliebter A. Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study. JMIR mHealth and uHealth 2019;7(6):e11917 View
  20. 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
  21. Laranjo L, Quiroz J, Tong H, Arevalo Bazalar M, Coiera E. A Mobile Social Networking App for Weight Management and Physical Activity Promotion: Results From an Experimental Mixed Methods Study. Journal of Medical Internet Research 2020;22(12):e19991 View
  22. Moss S, Serbetci D, O’Brien K, Alexi N. The Validated Features of Psychological Interventions for Weight Loss: An Integration. Behavioral Medicine 2022;48(3):147 View
  23. Gass J, Funderburk J, Shepardson R, Kosiba J, Rodriguez L, Maisto S. The use and Impact of Self-Monitoring on Substance use Outcomes: A Descriptive Systematic Review. Substance Abuse 2021;42(4):512 View
  24. Scheid J, Lupien S. Fitness Watches and Nutrition Apps: Behavioral Benefits and Emerging Concerns. ACSM'S Health & Fitness Journal 2021;25(2):21 View
  25. Sala M, Quinn N, Freeman J. Factors Associated with Weight Loss Within a Blended Virtual and Face-to-Face MOVE!® Program: A Retrospective Study. Military Behavioral Health 2021;9(3):297 View
  26. El Fatouhi D, Delrieu L, Goetzinger C, Malisoux L, Affret A, Campo D, Fagherazzi G. Associations of Physical Activity Level and Variability With 6-Month Weight Change Among 26,935 Users of Connected Devices: Observational Real-Life Study. JMIR mHealth and uHealth 2021;9(4):e25385 View
  27. St Fleur R, St George S, Leite R, Kobayashi M, Agosto Y, Jake-Schoffman D. Use of Fitbit Devices in Physical Activity Intervention Studies Across the Life Course: Narrative Review. JMIR mHealth and uHealth 2021;9(5):e23411 View
  28. Daley A, Jolly K, Ives N, Jebb S, Tearne S, Greenfield S, Yardley L, Little P, Tyldesley-Marshall N, Bensoussane H, Pritchett R, Frew E, Parretti H. Practice nurse-supported weight self-management delivered within the national child immunisation programme for postnatal women: a feasibility cluster RCT. Health Technology Assessment 2021;25(49):1 View
  29. Rahmanti A, Yang H, Bintoro B, Nursetyo A, Muhtar M, Syed-Abdul S, Li Y. SlimMe, a Chatbot With Artificial Empathy for Personal Weight Management: System Design and Finding. Frontiers in Nutrition 2022;9 View
  30. Labonté K, Knäuper B, Dubé L, Yang N, Nielsen D. Adherence to a caloric budget and body weight change vary by season, gender, and BMI: An observational study of daily users of a mobile health app. Obesity Science & Practice 2022;8(6):735 View
  31. Fornasaro-Donahue V, Walls T, Thomaz E, Melanson K. A Conceptual Model for Mobile Health-enabled Slow Eating Strategies. Journal of Nutrition Education and Behavior 2023;55(2):145 View
  32. Myers A, Camidge D, Croden F, Gibbons C, Stubbs R, Blundell J, Finlayson G, Buckland N. Free-Living Energy Balance Behaviors Are Associated With Greater Weight Loss During a Weight Loss Program. Frontiers in Nutrition 2021;8 View
  33. Lugones-Sanchez C, Recio-Rodriguez J, Agudo-Conde C, Repiso-Gento I, G Adalia E, Ramirez-Manent J, Sanchez-Calavera M, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. Long-term Effectiveness of a Smartphone App Combined With a Smart Band on Weight Loss, Physical Activity, and Caloric Intake in a Population With Overweight and Obesity (Evident 3 Study): Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(2):e30416 View
  34. Mizera M, Wysocki M, Walędziak M, Bartosiak K, Kowalewski P, Proczko-Stepaniak M, Szymański M, Kalinowski P, Orłowski M, Franczak P, Hady H, Myśliwiec P, Szeliga J, Major P, Pędziwiatr M. The impact of severe postoperative complications on outcomes of bariatric surgery—multicenter case-matched study. Surgery for Obesity and Related Diseases 2022;18(1):53 View
  35. Carey A, Yang Q, DeLuca L, Toro-Ramos T, Kim Y, Michaelides A. The Relationship Between Weight Loss Outcomes and Engagement in a Mobile Behavioral Change Intervention: Retrospective Analysis. JMIR mHealth and uHealth 2021;9(11):e30622 View
  36. Lim W, Fook-Chong S, Lim J, Gan W. The Outcomes of App-Based Health Coaching to Improve Dietary Behavior Among Nurses in a Tertiary Hospital: Pilot Intervention Study. JMIR Nursing 2022;5(1):e36811 View
  37. Pfammatter A, Battalio S, Olvera C, DeZelar M, Moore D, Scanlan L, Siddique J, Spring B, Chang S. The EVO study protocol for a randomized controlled evaluation trial of an optimized weight management intervention. Contemporary Clinical Trials 2022;116:106750 View
  38. Fundoiano-Hershcovitz ‪, Bacher D, Ritholz M, Horwitz D, Manejwala O, Goldstein P. Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study. Journal of Medical Internet Research 2022;24(2):e32923 View
  39. Payne J, Turk M, Kalarchian M, Pellegrini C. Adherence to mobile‐app‐based dietary self‐monitoring—Impact on weight loss in adults. Obesity Science & Practice 2022;8(3):279 View
  40. Lim S, Tay M, Ong K, Johal J, Yap Q, Chan Y, Yeo G, Khoo C, Yaxley A. Association Between Mobile Health App Engagement and Weight Loss and Glycemic Control in Adults With Type 2 Diabetes and Prediabetes (D’LITE Study): Prospective Cohort Study. JMIR Diabetes 2022;7(3):e35039 View
  41. Yin Y, Zhao Q, Li S, Jiang H, Yin C, Chen H, Zhang Y. Efficacy of acupuncture and moxibustion therapy for simple obesity in adults: A meta-analysis of randomized controlled trials. Medicine 2022;101(43):e31148 View
  42. Nunes C, Jesus F, Francisco R, Hopkins M, Sardinha L, Martins P, Minderico C, Silva A. Effects of a 4-month active weight loss phase followed by weight loss maintenance on adaptive thermogenesis in resting energy expenditure in former elite athletes. European Journal of Nutrition 2022;61(8):4121 View
  43. Sakane N, Suganuma A, Domichi M, Sukino S, Abe K, Fujisaki A, Kanazawa A, Sugimoto M. The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e43236 View
  44. Keshet A, Reicher L, Bar N, Segal E. Wearable and digital devices to monitor and treat metabolic diseases. Nature Metabolism 2023;5(4):563 View
  45. Son I, Hong J, Han Y, Gong B, Zhang M, Na W, Sohn C, Hyun T. Effectiveness of a mobile health intervention on weight loss and dietary behavior changes among employees with overweight and obesity: a 12-week intervention study investigating the role of engagement. Korean Journal of Community Nutrition 2023;28(2):141 View
  46. Song J, Xu P. Healthier together: Social support, self-regulation and goal management for chronic conditions in online health communities. Information & Management 2023;60(7):103830 View
  47. Hagerman C, Stock M, Post S, Macura Z, Moore P, Dodge T, Wirtz P. The Effects of Implicit Theories on Body Weight Information Avoidance. Experimental Psychology 2023;70(3):180 View
  48. Scheid J, Reed J, West S. Commentary: Is Wearable Fitness Technology a Medically Approved Device? Yes and No. International Journal of Environmental Research and Public Health 2023;20(13):6230 View
  49. Mattson R, Barger M. Feasibility of Telehealth and Innovative Technologies to Limit Excessive Gestational Weight Gain. Nursing for Women's Health 2024;28(1):30 View
  50. Jay M, Orstad S, Wali S, Wylie-Rosett J, Tseng C, Sweat V, Wittleder S, Shu S, Goldstein N, Ladapo J. Goal-directed versus outcome-based financial incentives for weight loss among low-income patients with obesity: rationale and design of the Financial Incentives foR Weight Reduction (FIReWoRk) randomised controlled trial. BMJ Open 2019;9(4):e025278 View
  51. Lehmann M, Jones L, Schirmann F. App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data. Journal of Medical Internet Research 2024;26:e45469 View
  52. Suire K, Hastert M, Herrmann S, Donnelly J. Feasibility of the flipped classroom approach for health education in a clinical weight loss program. PEC Innovation 2024;5:100308 View

Books/Policy Documents

  1. Clookey S. Self-Management in Chronic Illness. View