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

Web-based and Mobile Health Interventions (3299)

Published on in Vol 15, No 1 (2013): January

Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study

Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study

Website Usage and Weight Loss in a Free Commercial Online Weight Loss Program: Retrospective Cohort Study

Authors of this article:

Kevin O. Hwang1, 2 ;   Jing Ning3 ;   Amber W. Trickey1, 2 ;   Christopher N. Sciamanna4
Article Authors Cited by (42) Tweetations (23) Metrics

Journals

  1. Helander E, Kaipainen K, Korhonen I, Wansink B. Factors Related to Sustained Use of a Free Mobile App for Dietary Self-Monitoring With Photography and Peer Feedback: Retrospective Cohort Study. Journal of Medical Internet Research 2014;16(4):e109 View
  2. Sugarman D, Campbell A, Iles B, Greenfield S. Technology-Based Interventions for Substance Use and Comorbid Disorders. Harvard Review of Psychiatry 2017;25(3):123 View
  3. Song X, Liu Y, Jin J, Zhao J. Factors driving continued use of online health promotion competitions. Online Information Review 2018;42(6):802 View
  4. Heo S, Moser D, Pressler S, Dunbar S, Lee K, Kim J, Lennie T. Association between obesity and heart failure symptoms in male and female patients. Clinical Obesity 2017;7(2):77 View
  5. Gerdes S, Dethlefs B, Personke Y, Storim J, Mrowietz U. Online weight-loss coaching for patients with psoriasis: results of a pilot study. British Journal of Dermatology 2016;174(3):674 View
  6. van Beurden S, Simmons S, Tang J, Mewse A, Abraham C, Greaves C. Informing the development of online weight management interventions: a qualitative investigation of primary care patient perceptions. BMC Obesity 2018;5(1) View
  7. Lieffers J, Haresign H, Mehling C, Hanning R. A retrospective analysis of real-world use of the eaTracker® My Goals website by adults from Ontario and Alberta, Canada. BMC Public Health 2016;16(1) View
  8. Lieffers J, Arocha J, Grindrod K, Hanning R. Experiences and Perceptions of Adults Accessing Publicly Available Nutrition Behavior-Change Mobile Apps for Weight Management. Journal of the Academy of Nutrition and Dietetics 2018;118(2):229 View
  9. Chou W, Prestin A, Kunath S. Obesity in social media: a mixed methods analysis. Translational Behavioral Medicine 2014;4(3):314 View
  10. Reading J, Buhr K, Stuckey H. Social Experiences of Adults Using Online Support Forums to Lose Weight: A Qualitative Content Analysis. Health Education & Behavior 2019;46(2_suppl):129S View
  11. Serrano K, Yu M, Coa K, Collins L, Atienza A. Mining Health App Data to Find More and Less Successful Weight Loss Subgroups. Journal of Medical Internet Research 2016;18(6):e154 View
  12. Lewis Z, Swartz M, Martinez E, Lyons E. Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis. JMIR Aging 2019;2(2):e12496 View
  13. Apovian C, Garvey W, Ryan D. Challenging obesity: Patient, provider, and expert perspectives on the roles of available and emerging nonsurgical therapies. Obesity 2015;23(S2) View
  14. Evans W, Harrington C, Patchen L, Andrews V, Gaminian A, Ellis L, Napolitano M. Design of a novel digital intervention to promote healthy weight management among postpartum African American women. Contemporary Clinical Trials Communications 2019;16:100460 View
  15. White B, Martin A, White J, Burns S, Maycock B, Giglia R, Scott J. Theory-Based Design and Development of a Socially Connected, Gamified Mobile App for Men About Breastfeeding (Milk Man). JMIR mHealth and uHealth 2016;4(2):e81 View
  16. Ferrante J, Devine K, Bator A, Rodgers A, Ohman-Strickland P, Bandera E, Hwang K. Feasibility and potential efficacy of commercial mHealth/eHealth tools for weight loss in African American breast cancer survivors: pilot randomized controlled trial. Translational Behavioral Medicine 2020;10(4):938 View
  17. Hageman P, Mroz J, Yoerger M, Pullen C. User Engagement Associated with Web-Intervention Features to Attain Clinically Meaningful Weight Loss and Weight Maintenance in Rural Women. Journal of Obesity 2019;2019:1 View
  18. Nakhasi A, Shen A, Passarella R, Appel L, Anderson C. Online Social Networks That Connect Users to Physical Activity Partners: A Review and Descriptive Analysis. Journal of Medical Internet Research 2014;16(6):e153 View
  19. Waring M, Jake-Schoffman D, Holovatska M, Mejia C, Williams J, Pagoto S. Social Media and Obesity in Adults: a Review of Recent Research and Future Directions. Current Diabetes Reports 2018;18(6) View
  20. 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
  21. Pignato M, Arbeeva L, Schwartz T, Callahan L, Cooke J, Golightly Y, Goode A, Heiderscheit B, Hill C, Huffman K, Severson H, Allen K. Level of participation in physical therapy or an internet-based exercise training program: associations with outcomes for patients with knee osteoarthritis. BMC Musculoskeletal Disorders 2018;19(1) View
  22. Maher C, Ryan J, Kernot J, Podsiadly J, Keenihan S. Social media and applications to health behavior. Current Opinion in Psychology 2016;9:50 View
  23. de la Peña A, Quintanilla C. Share, like and achieve: the power of Facebook to reach health‐related goals. International Journal of Consumer Studies 2015;39(5):495 View
  24. Power J, Phelan S, Hatley K, Brannen A, Muñoz-Christian K, Legato M, Tate D. Engagement and Weight Loss in a Web and Mobile Program for Low-Income Postpartum Women: Fit Moms/Mamás Activas. Health Education & Behavior 2019;46(2_suppl):114S View
  25. Graham M, Uesugi K, Niederdeppe J, Gay G, Olson C. The Theory, Development, and Implementation of an e-Intervention to Prevent Excessive Gestational Weight Gain: e-Moms Roc. Telemedicine and e-Health 2014;20(12):1135 View
  26. Chang L, Chattopadhyay K, Li J, Xu M, Li L. The Interplay of Support, Comparison, and Surveillance in Social Media Weight Management Interventions: A Qualitative Study (Preprint). JMIR mHealth and uHealth 2020 View
  27. Paskett E, Baltic R, Young G, Katz M, Lesko S, Webber K, Roberto K, Lengerich E, Schoenberg N, Kennedy S, Mama S, Midkiff C, Dignan M. A Group Randomized Trial to Reduce Obesity among Appalachian Church Members: The Walk by Faith Study. Cancer Epidemiology, Biomarkers & Prevention 2018;27(11):1289 View
  28. Lillis J, Schumacher L, Thomas J, Levin M, Dunsiger S, Unick J, Evans E, Hayes J, Wing R. Study protocol for a randomized controlled trial comparing two low-intensity weight loss maintenance interventions based on acceptance and commitment therapy or self-regulation. Contemporary Clinical Trials 2021;103:106327 View
  29. Hendrie G, Baird D, Brindal E, Williams G, Brand-Miller J, Muhlhausler B. Weight Loss and Usage of an Online Commercial Weight Loss Program (the CSIRO Total Wellbeing Diet Online) Delivered in an Everyday Context: Five-Year Evaluation in a Community Cohort. Journal of Medical Internet Research 2021;23(6):e20981 View
  30. Feldhege J, Moessner M, Bauer S. Detrimental Effects of Online Pro–Eating Disorder Communities on Weight Loss and Desired Weight: Longitudinal Observational Study. Journal of Medical Internet Research 2021;23(10):e27153 View
  31. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. ImpulsePal: The systematic development of a smartphone app to manage food temptations using intervention mapping. DIGITAL HEALTH 2021;7 View
  32. Park A. Tweets Related to Motivation and Physical Activity for Obesity-Related Behavior Change: Descriptive Analysis. Journal of Medical Internet Research 2022;24(7):e15055 View
  33. Sheppard A, Ricciardelli R. Bio‐citizens online: A content analysis of pro‐ana and weight loss blogs. Canadian Review of Sociology/Revue canadienne de sociologie 2023;60(2):259 View
  34. Lee M, Applegate C, Shaffer A, Emamaddin A, Erdman J, Nakamura M, Apolzan J. A feasibility study to test a novel approach to dietary weight loss with a focus on assisting informed decision making in food selection. PLOS ONE 2022;17(5):e0267876 View
  35. Brinkworth G, Wycherley T, Taylor P, Thompson C. A Health Care Professional Delivered Low Carbohydrate Diet Program Reduces Body Weight, Haemoglobin A1c, Diabetes Medication Use and Cardiovascular Risk Markers—A Single-Arm Intervention Analysis. Nutrients 2022;14(20):4406 View
  36. Behr H, Ho A, Yang Q, Mitchell E, DeLuca L, Greenstein N, Michaelides A. Men’s Weight Loss Outcomes, Behaviors, and Perceptions in a Self-Directed Commercial Mobile Program: Retrospective Analysis. Health Education & Behavior 2023;50(1):70 View
  37. Tracada E, Sorensen Allacci M. Evaluating design features to support inclusive, self-directed, and active healthy living behaviours. Frontiers in Built Environment 2023;9 View
  38. Summers C, Taylor A, Panesar A, Kaura A, Brinkworth G. Effects of a Digital Weight Management Service on adults with obesity living in Cornwall: a single-arm intervention trial (Preprint). JMIR mHealth and uHealth 2023 View
  39. van Beurden S, Greaves C, Abraham C, Lawrence N, Smith J. “It helps me to stay on the right path, rather than give in”: Mixed-method process evaluation of the ImpulsePal app-based intervention for weight management. DIGITAL HEALTH 2023;9 View

Books/Policy Documents

  1. Chomutare T. Pervasive Computing Paradigms for Mental Health. View