Published on in Vol 18, No 6 (2016): Jun

A Technology-Mediated Behavioral Weight Gain Prevention Intervention for College Students: Controlled, Quasi-Experimental Study

A Technology-Mediated Behavioral Weight Gain Prevention Intervention for College Students: Controlled, Quasi-Experimental Study

A Technology-Mediated Behavioral Weight Gain Prevention Intervention for College Students: Controlled, Quasi-Experimental Study

Journals

  1. Monroe C, Turner-McGrievy G. Paving the way for SMART weight loss in college students. The Lancet Diabetes & Endocrinology 2016;4(9):719 View
  2. Hayba N, Partridge S, Nour M, Grech A, Allman Farinelli M. Effectiveness of lifestyle interventions for preventing harmful weight gain among young adults from lower socioeconomic status and ethnically diverse backgrounds: a systematic review. Obesity Reviews 2018;19(3):333 View
  3. Willmott T, Pang B, Rundle-Thiele S, Badejo A. Reported theory use in electronic health weight management interventions targeting young adults: a systematic review. Health Psychology Review 2019;13(3):295 View
  4. Molina M, Myrick J. The ‘how’ and ‘why’ of fitness app use: investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society 2021;24(7):1233 View
  5. Turner-McGrievy G, Jake-Schoffman D, Singletary C, Wright M, Crimarco A, Wirth M, Shivappa N, Mandes T, West D, Wilcox S, Drenowatz C, Hester A, McGrievy M. Using Commercial Physical Activity Trackers for Health Promotion Research: Four Case Studies. Health Promotion Practice 2019;20(3):381 View
  6. Winters-Stone K, Medysky M, Stoyles S, Bumgarner L, Witzke K. A brief whole-body vibration intervention to avoid weight gain in college students: A randomized controlled pilot trial. Journal of American College Health 2022;70(4):1010 View
  7. Ortiz R, Smith A, Coyne-Beasley T. A systematic literature review to examine the potential for social media to impact HPV vaccine uptake and awareness, knowledge, and attitudes about HPV and HPV vaccination. Human Vaccines & Immunotherapeutics 2019;15(7-8):1465 View
  8. Hawks J, Madanat H, Walsh-Buhi E, Hartman S, Nara A, Strong D, Anderson C. Narrative review of social media as a research tool for diet and weight loss. Computers in Human Behavior 2020;111:106426 View
  9. Monroe C, Turner-McGrievy G, Larsen C, Magradey K, Brandt H, Wilcox S, Sundstrom B, West D. College Freshmen Students’ Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey. JMIR Public Health and Surveillance 2017;3(4):e71 View
  10. Krishnan A, Finkelstein E, Levine E, Foley P, Askew S, Steinberg D, Bennett G. A Digital Behavioral Weight Gain Prevention Intervention in Primary Care Practice: Cost and Cost-Effectiveness Analysis. Journal of Medical Internet Research 2019;21(5):e12201 View
  11. Blackstone S, Herrmann L. Fitness Wearables and Exercise Dependence in College Women: Considerations for University Health Education Specialists. American Journal of Health Education 2020;51(4):225 View
  12. Alinia P, Cain C, Fallahzadeh R, Shahrokni A, Cook D, Ghasemzadeh H. How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical Activities. JMIR mHealth and uHealth 2017;5(8):e106 View
  13. 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
  14. Wang C, Bakhet M, Roberts D, Gnani S, El-Osta A. The efficacy of microlearning in improving self-care capability: a systematic review of the literature. Public Health 2020;186:286 View
  15. Clark M, Driller M. University Student’s Perceptions of Self-Tracking Devices, Data Privacy, and Sharing Digital Data for Research Purposes. Journal for the Measurement of Physical Behaviour 2020;3(2):128 View
  16. Katz M, Guo Z, Cheema A, Laffel L. Management of cardiovascular disease risk in teens with type 1 diabetes: Perspectives of teens with and without dyslipidemia and parents. Pediatric Diabetes 2019;20(2):210 View
  17. Simeon R, Dewidar O, Trawin J, Duench S, Manson H, Pardo Pardo J, Petkovic J, Hatcher Roberts J, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review. Journal of Medical Internet Research 2020;22(6):e16002 View
  18. Willmott T, Pang B, Rundle-Thiele S, Badejo A. Weight Management in Young Adults: Systematic Review of Electronic Health Intervention Components and Outcomes. Journal of Medical Internet Research 2019;21(2):e10265 View
  19. Napolitano M, Lynch S, Mavredes M, Shambon B, Posey L. Evaluating an Interactive Digital Intervention for College Weight Gain Prevention. Journal of Nutrition Education and Behavior 2020;52(9):890 View
  20. Napolitano M, Lynch S, Mavredes M, Shambon B, Posey L. Formative work to design a digital learning self-assessment and feedback tool to prevent weight gain among college students. DIGITAL HEALTH 2020;6 View
  21. Brandt H, Sundstrom B, Monroe C, Turner-McGrievy G, Larsen C, Stansbury M, Magradey K, Gibson A, West D. Evaluating a Technology-Mediated HPV Vaccination Awareness Intervention: A Controlled, Quasi-Experimental, Mixed Methods Study. Vaccines 2020;8(4):749 View
  22. Fackler C, Baugh N, Lovegren A, Nemeroff C, Whatley Blum J. Technology-Enhanced Health Promotion for College Students: A Seed Development Project. Nursing Reports 2021;11(1):143 View
  23. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  24. Turner-McGrievy G, Yang C, Monroe C, Pellegrini C, West D. Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement. Journal of Technology in Behavioral Science 2021;6(3):447 View
  25. 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
  26. Petkovic J, Duench S, Trawin J, Dewidar O, Pardo Pardo J, Simeon R, DesMeules M, Gagnon D, Hatcher Roberts J, Hossain A, Pottie K, Rader T, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database of Systematic Reviews 2021;2021(6) View
  27. Rozga M, Jones K, Robinson J, Yahiro A. Nutrition and physical activity interventions for the general population with and without cardiometabolic risk: a scoping review. Public Health Nutrition 2021;24(14):4718 View
  28. Goodyear V, Wood G, Skinner B, Thompson J. The effect of social media interventions on physical activity and dietary behaviours in young people and adults: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2021;18(1) View
  29. Stark A, Geukes C, Dockweiler C. Digital Health Promotion and Prevention in Settings: Scoping Review. Journal of Medical Internet Research 2022;24(1):e21063 View
  30. Le L, Tan E, Perez J, Chiotelis O, Hay P, Ananthapavan J, Lee Y, Mihalopoulos C. Prevention of high body mass index and eating disorders: a systematic review and meta-analysis. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity 2022;27(8):2989 View
  31. Pagoto S, Schroeder M, Xu R, Waring M, Groshon L, Goetz J, Idiong C, Troy H, DiVito J, Bannor R. A Facebook-Delivered Weight Loss Intervention Using Open Enrollment: Randomized Pilot Feasibility Trial. JMIR Formative Research 2022;6(5):e33663 View
  32. Cunha V, Montenegro S, Padrão P. Dietary interventions using Facebook: a systematic review. Porto Biomedical Journal 2023;8(1):e185 View
  33. Xu R, Divito J, Bannor R, Schroeder M, Pagoto S. Predicting Participant Engagement in a Social Media–Delivered Lifestyle Intervention Using Microlevel Conversational Data: Secondary Analysis of Data From a Pilot Randomized Controlled Trial. JMIR Formative Research 2022;6(7):e38068 View
  34. Tran D, Martinez I, Cross C, Earley Y. MOBILE Intervention Pilot Study in College Students With Elevated Blood Pressure. Journal of Cardiovascular Nursing 2023;38(3):256 View
  35. Li C, Ademiluyi A, Ge Y, Park A. Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review. JMIR Public Health and Surveillance 2022;8(3):e25552 View
  36. Mello L, Watson H, Sozmen E. Perspective on pros and cons of microlearning in health education. Essays in Biochemistry 2022;66(1):39 View
  37. Ferreira-Barbosa H, García-Fernández J, Cepeda-Carrión G. The Mediating Role of e-Lifestyles to Use the Fitness Center App. International Journal of Human–Computer Interaction 2024;40(15):3972 View
  38. Lord A, Pan W. Effects of WAKE.TAIWAN Healthy Lifestyle Web-Based Promotion Programs on Adults’ Awareness of Self-perceived Weight Status and Their Healthy Lifestyle Stages: Retrospective Analysis. JMIR Formative Research 2023;7:e41944 View
  39. Md Jamri H, Ab Hamid M, Abd Talib R, Jailani F, Buhari S. Effectiveness of Social Media Interventions to Improve Nutrition Behaviour among Adolescents in Asia: A Systematic Review. Malaysian Journal of Medicine and Health Sciences 2023;19(5):237 View
  40. Wang J, Huang Y, Feng N, Xu L, Du X, Chen M, Yang G, Li Y, Wang H, Zhong V. Global Disease Burden Attributable to High Body Mass Index in Young Adults From 1990 to 2019, With Projections to 2050: A Systematic Analysis for the Global Burden of Disease Study 2019. Diabetes/Metabolism Research and Reviews 2024;40(8) View