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

Mobile Apps for Cardiology (144) Digital Health Reviews (1326) mHealth for Wellness, Behavior Change and Prevention (2922) Cardiovascular Disease Prevention (142) Reviews on Cardiovascular Health and Medicine (27)

Published on in Vol 5, No 1 (2021): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18834, first published .
User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

User Engagement With Smartphone Apps and Cardiovascular Disease Risk Factor Outcomes: Systematic Review

Authors of this article:

Erin M Spaulding1, 2 Author Orcid Image ;   Francoise A Marvel3, 4 Author Orcid Image ;   Rebecca J Piasecki1 Author Orcid Image ;   Seth S Martin2, 3, 4, 5, 6 Author Orcid Image ;   Jerilyn K Allen1, 4, 6 Author Orcid Image
Article Authors Cited by (40) Tweetations (9) Metrics

Journals

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  2. Alhur M, Alshamari S, Oláh J, Aldreabi H. Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps. International Journal of E-Services and Mobile Applications 2022;14(1):1 View
  3. Gallagher R, Chow C, Parker H, Neubeck L, Celermajer D, Redfern J, Tofler G, Buckley T, Schumacher T, Hyun K, Boroumand F, Figtree G. The effect of a game-based mobile app ‘MyHeartMate’ to promote lifestyle change in coronary disease patients: a randomized controlled trial. European Heart Journal - Digital Health 2023;4(1):33 View
  4. Dulin P, Mertz R, Edwards A, King D. Contrasting a Mobile App With a Conversational Chatbot for Reducing Alcohol Consumption: Randomized Controlled Pilot Trial. JMIR Formative Research 2022;6(5):e33037 View
  5. Kanai M, Toda T, Yamamoto K, Akimoto M, Hagiwara Y. A Mobile Health-Based Disease Management Program Improves Blood Pressure in People With Multiple Lifestyle-Related Diseases at Risk of Developing Vascular Disease　― A Retrospective Observational Study ―. Circulation Reports 2022;4(7):322 View
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  7. 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
  8. Olmedo-Aguirre J, Reyes-Campos J, Alor-Hernández G, Machorro-Cano I, Rodríguez-Mazahua L, Sánchez-Cervantes J. Remote Healthcare for Elderly People Using Wearables: A Review. Biosensors 2022;12(2):73 View
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  10. Nisa H, Barsbay F. Digital Health Interventions to Improve Cardiometabolic Risk Profile among Adults with Obesity and Chronic Diseases: A Systematic Review. Nurse Media Journal of Nursing 2022;12(1):133 View
  11. Henriksson P, Migueles J, Söderström E, Sandborg J, Maddison R, Löf M. User engagement in relation to effectiveness of a digital lifestyle intervention (the HealthyMoms app) in pregnancy. Scientific Reports 2022;12(1) View
  12. Kay M, Miller H, Askew S, Spaulding E, Chisholm M, Christy J, Yang Q, Steinberg D. Patterns of Engagement With an Application-Based Dietary Self-Monitoring Tool Within a Randomized Controlled Feasibility Trial. AJPM Focus 2022;1(2):100037 View
  13. Prieto-Díaz M, Méndez-Rodríguez E, Murillo-García D, Escobar-Cervantes C, Pallarés-Carratalá V, Díaz-Rodríguez A, Escribano-Serrano J, Polo-García J, Cinza-Sanjurjo S. Utilidad de una aplicación web interactiva en la mejora del control de los factores de riesgo cardiovascular. Proyecto Control-RCV. Medicina de Familia. SEMERGEN 2022;48(6):411 View
  14. Lee Y, Huang L, Chen S, Shao J, Lai C, Yang N. Effects of Mobile Application Program (App)-Assisted Health Education on Preventive Behaviors and Cancer Literacy among Women with Cervical Intraepithelial Neoplasia. International Journal of Environmental Research and Public Health 2021;18(21):11603 View
  15. Andrä M, Sibinovic M, Pfeiffer K, Kniepeiss D. Implementation of a mobile application for outpatient care after liver transplantation. DIGITAL HEALTH 2022;8:205520762211458 View
  16. Kassavou A, Wang M, Mirzaei V, Shpendi S, Hasan R. The Association Between Smartphone App–Based Self-monitoring of Hypertension-Related Behaviors and Reductions in High Blood Pressure: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(7):e34767 View
  17. Lee Y, Lee G, Teo L, Tan R, Zhong L, Gao F, Koh A. Effect of psychosocial motivations and technology on physical activity behaviours among community older men and women. BMC Geriatrics 2022;22(1) View
  18. Patterson K, Keegan R, Davey R, Freene N. Implementing a Sedentary Behavior Change Smartphone App in Cardiac Rehabilitation. Journal of Cardiovascular Nursing 2024;39(1):E12 View
  19. Kaihara T, Falter M, Scherrenberg M, Xu L, Maes J, Meesen E, Dendale P. The impact of dietary education and counselling with a smartphone application on secondary prevention of coronary artery disease: A randomised controlled study (the TeleDiet study). DIGITAL HEALTH 2023;9 View
  20. 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
  21. Hanson P, Summers C, Panesar A, Liarakos A, Oduro-Donkor D, Whyte Oshodi D, Hailston L, Randeva H, Menon V, de la Fosse M, Kaura A, Shuttlewood E, Loveder M, Poole D, Barber T. Implementation of a Digital Health Tool for Patients Awaiting Input From a Specialist Weight Management Team: Observational Study. JMIR Human Factors 2023;10:e41256 View
  22. Blazey M, Marinac C, Whiteley J, Peterson S, Burns White K, Jacques C, Lam H, Halpenny B, Patel S, Lamothe R, Wright J. Designing a Dyad-Based Digital Health Intervention to Reduce Sedentary Time in Black Breast Cancer Survivors and Their First-degree Relatives: Human-Centered Design Study. JMIR Formative Research 2023;7:e43592 View
  23. Inchusri T, Surangsrirat D, Kwanmuang P, Poomivanichakij P, Apiwatgaroon P, Ongprakobkul S, Kongchu A, Klinpikul A, Taneeheng A, Pruphetkaew N, Thongseiratch T, Ngamchaliew P, Vichitkunakorn P. Association of Generation and Group Size With the Usage of a Mobile Health App in Thailand: Secondary Analysis of the ThaiSook Cohort Study. Journal of Medical Internet Research 2023;25:e45374 View
  24. de Souza Ferreira E, de Aguiar Franco F, dos Santos Lara M, Levcovitz A, Dias M, Moreira T, de Oliveira A, Cotta R. The effectiveness of mobile application for monitoring diabetes mellitus and hypertension in the adult and elderly population: systematic review and meta-analysis. BMC Health Services Research 2023;23(1) View
  25. Seixas A, Richards S, Moore J, Izeogu C, Hollimon L, Jin P, Jean-Louis G. Precision Recruitment and Engagement of Individuals at Risk for Diabetes and Hypertension in Clinical Trials (PREDHICT): A Randomized Trial for an E-Persuasive Mobile Application to Inform Decision Making about Clinical Trials. International Journal of Environmental Research and Public Health 2023;20(23):7115 View
  26. Sedotto R, Edwards A, Dulin P, King D. Engagement with mHealth Alcohol Interventions: User Perspectives on an App or Chatbot-Delivered Program to Reduce Drinking. Healthcare 2024;12(1):101 View
  27. Son I, Hong J, Han Y, Gong B, Zhang M, Na W, Sohn C, Hyun T. Process evaluation of a mobile healthcare program among employees with overweight and obesity: a 12-week intervention study investigating the role of engagement. Korean Journal of Community Nutrition 2023;28(6):466 View
  28. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
  29. Gruson D, Cobbaert C, Dabla P, Stankovic S, Homsak E, Kotani K, Samir Assaad R, Nichols J, Gouget B. Validation and verification framework and data integration of biosensors and in vitro diagnostic devices: a position statement of the IFCC Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MBHLM) and the IFCC Scientific Division. Clinical Chemistry and Laboratory Medicine (CCLM) 2024;62(10):1904 View
  30. Zhu Y, Zhao Y, Wu Y. Effectiveness of mobile health applications on clinical outcomes and health behaviors in patients with coronary heart disease: A systematic review and meta-analysis. International Journal of Nursing Sciences 2024;11(2):258 View
  31. Reimer L, Nissen L, von Scheidt M, Perl B, Wiehler J, Najem S, Limbourg F, Tacke T, Müller A, Jonas S, Schunkert H, Starnecker F. User-centered development of an mHealth app for cardiovascular prevention. DIGITAL HEALTH 2024;10 View
  32. Bushey E, Wu Y, Wright A, Pescatello L. The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review. Journal of Medical Internet Research 2024;26:e51321 View
  33. Adepoju O, Dang P, Nguyen H, Mertz J. Equity in Digital Health: Assessing Access and Utilization of Remote Patient Monitoring, Medical Apps, and Wearables in Underserved Communities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View
  34. Patra E, Kokkinopoulou A, Wilson-Barnes S, Hart K, Gymnopoulos L, Tsatsou D, Solachidis V, Dimitropoulos K, Rouskas K, Argiriou A, Lalama E, Csanalosi M, Pfeiffer A, Cornelissen V, Decorte E, Dias S, Oikonomidis Y, María Botana J, Leoni R, Russell D, Mantovani E, Aleksić M, Brkić B, Hassapidou M, Pagkalos I. Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity. Life 2024;14(10):1238 View
  35. Miller H, Askew S, Berger M, Trefney E, Blackman Carr L, Kay M, Barnes C, Yang Q, Tyson C, Svetkey L, Shaw R, Steinberg D, Bennett G. Sociodemographic predictors of successful screening and subsequent randomization in a digital health hypertension intervention. DIGITAL HEALTH 2024;10 View
  36. Amini M, Rasaei N, Jalalzadeh M, Pourreza S, Hekmatdoost A. The Effects of Bitter Melon (Mormordica charantia) on Lipid Profile: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials. Phytotherapy Research 2024;38(12):5949 View
  37. Gallagher R, Neubeck L, Davis A, Redfern J, Parker H, Hyun K, Chow C, Celermajer D, Buckley T, Schumacher T, Tofler G, Figtree G. A Self-Administered Gamified Mobile Application for Secondary Prevention of Heart Disease in Patients Following a Cardiac Event (MyHeartMate): Process Evaluation from a Randomized Controlled Trial. Games for Health Journal 2024 View
  38. Szinay D, Cameron R, Jones A, Whitty J, Chadborn T, Brown J, Naughton F. Eliciting preferences for the uptake of smoking cessation apps: A Discrete Choice Experiment. (Preprint). Journal of Medical Internet Research 2022 View

Books/Policy Documents

  1. Kopitar L, Kocbek P, Gosak L, Stiglic G. Next Generation eHealth. View