Published on in Vol 18, No 5 (2016): May

The Electronic CardioMetabolic Program (eCMP) for Patients With Cardiometabolic Risk: A Randomized Controlled Trial

The Electronic CardioMetabolic Program (eCMP) for Patients With Cardiometabolic Risk: A Randomized Controlled Trial

The Electronic CardioMetabolic Program (eCMP) for Patients With Cardiometabolic Risk: A Randomized Controlled Trial

Journals

  1. Kim B, Lee J. Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review. JMIR mHealth and uHealth 2017;5(5):e69 View
  2. Almathami H, Win K, Vlahu-Gjorgievska E. Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients’ Homes: Systematic Literature Review. Journal of Medical Internet Research 2020;22(2):e16407 View
  3. Castro Sweet C, Chiguluri V, Gumpina R, Abbott P, Madero E, Payne M, Happe L, Matanich R, Renda A, Prewitt T. Outcomes of a Digital Health Program With Human Coaching for Diabetes Risk Reduction in a Medicare Population. Journal of Aging and Health 2018;30(5):692 View
  4. Wong E, Leung D, Wang Q, Leung A. A nurse—led lifestyle intervention using mobile application versus booklet for adults with metabolic syndrome—Protocol for a randomized controlled trial. Journal of Advanced Nursing 2020;76(1):364 View
  5. Weatherall J, Paprocki Y, Meyer T, Kudel I, Witt E. Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes. JMIR mHealth and uHealth 2018;6(6):e131 View
  6. Sequi-Dominguez I, Alvarez-Bueno C, Martinez-Vizcaino V, Fernandez-Rodriguez R, del Saz Lara A, Cavero-Redondo I. Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(8):e17790 View
  7. Ramôa Castro A, Oliveira N, Ribeiro F, Oliveira J. Impact of educational interventions on primary prevention of cardiovascular disease: A systematic review with a focus on physical activity. European Journal of General Practice 2017;23(1):59 View
  8. Bradway M, Carrion C, Vallespin B, Saadatfard O, Puigdomènech E, Espallargues M, Kotzeva A. mHealth Assessment: Conceptualization of a Global Framework. JMIR mHealth and uHealth 2017;5(5):e60 View
  9. Rosas L, Lv N, Azar K, Xiao L, Hooker S, Lewis M, Zavella P, Venditti E, Ma J. HOMBRE: A randomized controlled trial to compare two approaches to weight loss for overweight and obese Latino men (Hombres con Opciones para Mejorar el Bienestar y bajar el Riesgo de Enfermedades crónicas; men with choices to improve well-being and decrease chronic disease risk). Contemporary Clinical Trials 2018;68:23 View
  10. Ringeval M, Wagner G, Denford J, Paré G, Kitsiou S. Fitbit-Based Interventions for Healthy Lifestyle Outcomes: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(10):e23954 View
  11. Kim G, Lee J, Lee S. A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health 2021;18(2):512 View
  12. Ronneberg C, Lv N, Xiao L, Rosas L, Shrestha R, Dosala S, Eckley T, Wittels N, Ma J. Weight loss effects in usual primary care: Findings from 5 behavioral weight loss RCTs. Obesity Research & Clinical Practice 2021;15(2):180 View
  13. Wong E, Leung D, Tam H, Wang Q, Yeung K, Leung A. The Effect of a Lifestyle Intervention Program Using a Mobile Application for Adults with Metabolic Syndrome, versus the Effect of a Program Using a Booklet: A Pilot Randomized Controlled Trial. Clinical Interventions in Aging 2021;Volume 16:633 View
  14. Kirley K, Sachdev N. Digital Health–Supported Lifestyle Change Programs to Prevent Type 2 Diabetes. Diabetes Spectrum 2018;31(4):303 View
  15. Chen D, Zhang H, Cui N, Song F, Tang L, Shao J, Wu J, Guo P, Liu N, Wang X, Ye Z. Development of a behavior change intervention to improve physical activity adherence in individuals with metabolic syndrome using the behavior change wheel. BMC Public Health 2022;22(1) View
  16. Islam S, Elaiho C, Arniella G, Rivera S, Vangeepuram N. A Pilot Study to Examine the Feasibility and Acceptability of a Virtual Adaptation of an In-Person Adolescent Diabetes Prevention Program. International Journal of Environmental Research and Public Health 2022;19(19):12286 View
  17. Magalhães B, Fernandes C, Santos C, Martínez-Galiano J. The Use of Mobile Applications for Managing Care Processes During Chemotherapy Treatments: A Systematic Review. Cancer Nursing 2021;44(6):E339 View
  18. Almathami H, Win K, Vlahu-Gjorgievska E. Development and validation of a new tool to identify factors that influence users’ motivation toward the use of teleconsultation systems: A modified Delphi study. International Journal of Medical Informatics 2022;157:104618 View
  19. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
  20. Barnett A, Wright C, Stone C, Ho N, Adhyaru P, Kostjasyn S, Hickman I, Campbell K, Mayr H, Kelly J. Effectiveness of dietary interventions delivered by digital health to adults with chronic conditions: Systematic review and meta‐analysis. Journal of Human Nutrition and Dietetics 2023;36(3):632 View
  21. Wong E, Leung D, Wang Q, Leung A, Cheung A. The effect of a lifestyle intervention program using a mobile application versus the effect of a program using a booklet for adults with metabolic syndrome: A three‐arm randomized controlled trial. Journal of Nursing Scholarship 2023;55(5):936 View
  22. Rai R, Singh R, Mehta V, Sakshi , Asif M, Goyal K, Balodhi A, Manglik P, Sharma A, Chahal A. Impact of exercise training duration on obesity and cardiometabolic biomarkers: a systematic review. Journal of Diabetes & Metabolic Disorders 2023;22(1):155 View
  23. Moffit R, McTigue K, Conroy M, Kriska A, Fischer G, Ricci E, Dunstan D, Deperrior S, Rao N, Burke L, Rockette-Wagner B. Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement. American Journal of Health Promotion 2023;37(8):1100 View
  24. Chen D, Shao J, Zhang H, Wu J, Xue E, Guo P, Tang L, Cui N, Wang X, Chen L, Ye Z. Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome. Annals of Medicine 2023;55(2) View
  25. Jafar N, Huriyati E, Haryani , Setyawati A. Enhancing knowledge of Diabetes self-management and quality of life in people with Diabetes Mellitus by using Guru Diabetes Apps-based health coaching. Journal of Public Health Research 2023;12(3) View
  26. Almathami H, Win K, Vlahu-Gjorgievska E. Empirical Evidence of Internal and External Factors Influencing Users' Motivation Toward Teleconsultation Use. Telemedicine and e-Health 2023 View
  27. Chen Y, Luo F, Han L, Qin Q, Zeng Q, Zhou X, Huang Y, Gao Q, Wang W, Shi Q, Wang Q, Yu Z, Wang T, Jiang J. Centralized health management based on hot spring resort improves physical examination indicators and sleep quality in people at high risk of chronic diseases: a randomized controlled trial. International Journal of Biometeorology 2023;67(12):2011 View
  28. Chen D, Zhang H, Wu J, Xue E, Guo P, Tang L, Shao J, Cui N, Wang X, Chen L, Ye Z. Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e49257 View

Books/Policy Documents

  1. Leung A, Xu X, Wong E. Encyclopedia of Gerontology and Population Aging. View
  2. Leung A, Xu X, Wong E. Encyclopedia of Gerontology and Population Aging. View