Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study

Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study

Health-E-Call, a Smartphone-Assisted Behavioral Obesity Treatment: Pilot Study

Authors of this article:

J Graham Thomas 1 ;   Rena R Wing 1

Journals

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  3. Godino J, Golaszewski N, Norman G, Rock C, Griswold W, Arredondo E, Marshall S, Kolodziejczyk J, Dillon L, Raab F, Jain S, Crawford M, Merchant G, Patrick K, Basu S. Text messaging and brief phone calls for weight loss in overweight and obese English- and Spanish-speaking adults: A 1-year, parallel-group, randomized controlled trial. PLOS Medicine 2019;16(9):e1002917 View
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  5. Samoggia A, Riedel B. Assessment of nutrition-focused mobile apps' influence on consumers' healthy food behaviour and nutrition knowledge. Food Research International 2020;128:108766 View
  6. Martin C, Miller A, Thomas D, Champagne C, Han H, Church T. Efficacy of SmartLossSM , a smartphone-based weight loss intervention: Results from a randomized controlled trial. Obesity 2015;23(5):935 View
  7. Goldstein C, Thomas J, Wing R, Bond D. Successful weight loss maintainers use health-tracking smartphone applications more than a nationally representative sample: comparison of the National Weight Control Registry to Pew Tracking for Health. Obesity Science & Practice 2017;3(2):117 View
  8. Chae J, Sung H. The association of daily use of information and communication technologies with personal subjective health status. Journal of Korea Planning Association 2017;52(3):185 View
  9. Joiner K, Nam S, Whittemore R. Lifestyle interventions based on the diabetes prevention program delivered via eHealth: A systematic review and meta-analysis. Preventive Medicine 2017;100:194 View
  10. Puigdomenech Puig E, Robles N, Saigí-Rubió F, Zamora A, Moharra M, Paluzie G, Balfegó M, Cuatrecasas Cambra G, Garcia-Lorda P, Carrion C. Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review. JMIR mHealth and uHealth 2019;7(10):e12612 View
  11. Oh B, Cho B, Han M, Choi H, Lee M, Kang H, Lee C, Yun H, Kim Y. The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial. JMIR mHealth and uHealth 2015;3(3):e83 View
  12. Rogers R, Lang W, Barone Gibbs B, Davis K, Burke L, Kovacs S, Portzer L, Jakicic J. Applying a technology‐based system for weight loss in adults with obesity. Obesity Science & Practice 2016;2(1):3 View
  13. Nahum-Shani I, Smith S, Spring B, Collins L, Witkiewitz K, Tewari A, Murphy S. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine 2018;52(6):446 View
  14. Bradley L, Forman E, Kerrigan S, Goldstein S, Butryn M, Thomas J, Herbert J, Sarwer D. Project HELP: a Remotely Delivered Behavioral Intervention for Weight Regain after Bariatric Surgery. Obesity Surgery 2017;27(3):586 View
  15. Spanakis E, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen J, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128 View
  16. Wills A, Garry J, Hubbard J, Mezoian T, Breen C, Ortiz-Miller C, Nalipinski P, Sullivan S, Berry J, Cudkowicz M, Paganoni S, Chan J, Macklin E. Nutritional counseling with or without mobile health technology: a randomized open-label standard-of-care-controlled trial in ALS. BMC Neurology 2019;19(1) View
  17. Bradley L, Smith-Mason C, Corsica J, Kelly M, Hood M. Remotely Delivered Interventions for Obesity Treatment. Current Obesity Reports 2019;8(4):354 View
  18. Arens-Volland A, Spassova L, Bohn T. Promising approaches of computer-supported dietary assessment and management—Current research status and available applications. International Journal of Medical Informatics 2015;84(12):997 View
  19. Villinger K, Wahl D, Boeing H, Schupp H, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465 View
  20. Safran Naimark J, Madar Z, R Shahar D. The Impact of a Web-Based App (eBalance) in Promoting Healthy Lifestyles: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(3):e56 View
  21. Burke L, Sereika S, Parmanto B, Beatrice B, Cajita M, Loar I, Pulantara I, Wang Y, Kariuki J, Yu Y, Cedillo M, Cheng J, Conroy M. The SMARTER Trial: Design of a trial testing tailored mHealth feedback to impact self-monitoring of diet, physical activity, and weight. Contemporary Clinical Trials 2020;91:105958 View
  22. Jensen C, Duncombe K, Lott M, Hunsaker S, Duraccio K, Woolford S. An Evaluation of a Smartphone–Assisted Behavioral Weight Control Intervention for Adolescents: Pilot Study. JMIR mHealth and uHealth 2016;4(3):e102 View
  23. Reed J, Struwe L, Bice M, Yates B. The impact of self-monitoring food intake on motivation, physical activity and weight loss in rural adults. Applied Nursing Research 2017;35:36 View
  24. Thomas J, Bond D, Raynor H, Papandonatos G, Wing R. Comparison of Smartphone‐Based Behavioral Obesity Treatment With Gold Standard Group Treatment and Control: A Randomized Trial. Obesity 2019;27(4):572 View
  25. Mason A, Jhaveri K, Cohn M, Brewer J. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. Journal of Behavioral Medicine 2018;41(2):160 View
  26. Crane D, Garnett C, Brown J, West R, Michie S. Factors Influencing Usability of a Smartphone App to Reduce Excessive Alcohol Consumption: Think Aloud and Interview Studies. Frontiers in Public Health 2017;5 View
  27. Payne J, Turk M, Kalarchian M, Pellegrini C. Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review. Journal of the Academy of Nutrition and Dietetics 2018;118(11):2094 View
  28. Mao A, Chen C, Magana C, Caballero Barajas K, Olayiwola J. A Mobile Phone-Based Health Coaching Intervention for Weight Loss and Blood Pressure Reduction in a National Payer Population: A Retrospective Study. JMIR mHealth and uHealth 2017;5(6):e80 View
  29. Parry M, Dhukai A, Clarke H, Bjørnnes A, Cafazzo J, Cooper L, Harvey P, Katz J, Lalloo C, Leegaard M, Légaré F, Lovas M, McFetridge-Durdle J, McGillion M, Norris C, Parente L, Patterson R, Pilote L, Pink L, Price J, Stinson J, Uddin A, Victor J, Watt-Watson J, Auld C, Faubert C, Park D, Park M, Rickard B, DeBonis V. Development and usability testing of HEARTPA♀N: protocol for a mixed methods strategy to develop an integrated smartphone and web-based intervention for women with cardiac pain. BMJ Open 2020;10(3):e033092 View
  30. Morrison L, Hargood C, Lin S, Dennison L, Joseph J, Hughes S, Michaelides D, Johnston D, Johnston M, Michie S, Little P, Smith P, Weal M, Yardley L. Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study. Journal of Medical Internet Research 2014;16(10):e201 View
  31. Payne H, Lister C, West J, Bernhardt J. Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature. JMIR mHealth and uHealth 2015;3(1):e20 View
  32. Kurscheid T, Redaélli M, Heinen A, Hahmann P, Behle K, Froböse I. App-gesteuerte Feedbackgeräte unterstützen Nachhaltigkeit einer Gewichtsreduktion. Zeitschrift für Psychosomatische Medizin und Psychotherapie 2019;65(3):224 View
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Books/Policy Documents

  1. Miah S. Handbook of Large-Scale Distributed Computing in Smart Healthcare. View
  2. Thomas J, Bond D. The ASMBS Textbook of Bariatric Surgery. View
  3. Lamboglia C, Carvalho L, Filho J, Lopes de Sousa F, Silva C. Handbook of Research on Holistic Perspectives in Gamification for Clinical Practice. View
  4. Lamboglia C, Carvalho L, Filho J, Lopes de Sousa F, Silva C. Healthcare Policy and Reform. View
  5. . M-Health: Fundamentals and Applications. View