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

Demographics of Users, Social & Digital Divide (739) Use and User Demographics of mHealth (335)

Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16299, first published .
Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data

Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data

Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data

Authors of this article:

Camella J Rising1 Author Orcid Image ;   Roxanne E Jensen2 Author Orcid Image ;   Richard P Moser3 Author Orcid Image ;   April Oh1 Author Orcid Image
Article Authors Cited by (32) Tweetations (21) Metrics

Journals

  1. Lin A, Baik S, Aaby D, Tello L, Linville T, Alshurafa N, Spring B. eHealth Practices in Cancer Survivors With BMI in Overweight or Obese Categories: Latent Class Analysis Study. JMIR Cancer 2020;6(2):e24137 View
  2. Camacho-Rivera M, Vo H, Huang X, Lau J, Lawal A, Kawaguchi A. Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps. JMIR mHealth and uHealth 2020;8(10):e15076 View
  3. Choi H, Jeong G. Characteristics of the Measurement Tools for Assessing Health Information–Seeking Behaviors in Nationally Representative Surveys: Systematic Review. Journal of Medical Internet Research 2021;23(7):e27539 View
  4. Figueroa C, Luo T, Aguilera A, Lyles C. The need for feminist intersectionality in digital health. The Lancet Digital Health 2021;3(8):e526 View
  5. Liu L, Shi L. Chinese Patients’ Intention to Use Different Types of Internet Hospitals: Cross-sectional Study on Virtual Visits. Journal of Medical Internet Research 2021;23(8):e25978 View
  6. Strain T, Wijndaele K, Pearce M, Brage S. Considerations for the Use of Consumer-Grade Wearables and Smartphones in Population Surveillance of Physical Activity. Journal for the Measurement of Physical Behaviour 2022;5(1):8 View
  7. Patel R, Ding J, Marvel F, Shan R, Plante T, Blaha M, Post W, Martin S. Associations of Demographic, Socioeconomic, and Cognitive Characteristics With Mobile Health Access: MESA (Multi‐Ethnic Study of Atherosclerosis). Journal of the American Heart Association 2022;11(17) View
  8. Raj M, Gupta V, Hoodin F, Clingan C, Roslin C, Yahng L, Braun T, Choi S. Evaluating mobile Health technology use among cancer caregivers in the digital era. DIGITAL HEALTH 2022;8:205520762211090 View
  9. Buss V, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Human Factors 2022;9(3):e38469 View
  10. Xiao J, Fiscella K, Meyerowitz C. mDentistry. The Journal of the American Dental Association 2021;152(9):713 View
  11. Lin Y, Richardson C, Dobrin I, Pop-Busui R, Piatt G, Piette J. Accessibility and Openness to Diabetes Management Support With Mobile Phones: Survey Study of People With Type 1 Diabetes Using Advanced Diabetes Technologies. JMIR Diabetes 2022;7(2):e36140 View
  12. Van Wier M, Urry E, Lissenberg-Witte B, Kramer S. User characteristics associated with use of wrist-worn wearables and physical activity apps by adults with and without impaired speech-in-noise recognition: a cross-sectional analysis. International Journal of Audiology 2024;63(1):49 View
  13. Zhang Y, Trace C. The quality of health and wellness self‐tracking data: A consumer perspective. Journal of the Association for Information Science and Technology 2022;73(6):879 View
  14. Omoloja A, Vundavalli S. Patient generated health data: Benefits and challenges. Current Problems in Pediatric and Adolescent Health Care 2021;51(11):101103 View
  15. Buss V, Varnfield M, Harris M, Barr M. Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study. JMIR mHealth and uHealth 2022;10(9):e37343 View
  16. Kvedarienė V, Burzdikaitė P, Česnavičiūtė I. mHealth and telemedicine utility in the monitoring of allergic diseases. Frontiers in Allergy 2022;3 View
  17. Radó N, Girasek E, Békási S, Győrffy Z. Digital Technology Access and Health-Related Internet Use Among People Experiencing Homelessness in Hungary: Quantitative Survey. Journal of Medical Internet Research 2022;24(10):e38729 View
  18. Wei G, Turner K, Hennessy K, Seminario-Vidal L. Preferences Towards Electronically Exchanging Digital Images With Healthcare Providers Among US Adults. Cureus 2021 View
  19. Rising C, Gaysynsky A, Blake K, Jensen R, Oh A. Willingness to Share Data From Wearable Health and Activity Trackers: Analysis of the 2019 Health Information National Trends Survey Data. JMIR mHealth and uHealth 2021;9(12):e29190 View
  20. Liu L, Shi L. Chinese Patients' Virtual Consultation Use of Different Sponsorship Types of Telemedicine Platforms: A Cross-Sectional Study in Zhejiang Province, China. Telemedicine and e-Health 2023;29(10):1573 View
  21. Orte S, Migliorelli C, Sistach-Bosch L, Gómez-Martínez M, Boqué N. A Tailored and Engaging mHealth Gamified Framework for Nutritional Behaviour Change. Nutrients 2023;15(8):1950 View
  22. Hailiye Teferi G, Tadele M, Tizazu G, Hordofa Z, Shimie A, Assaye B, Senishaw A, Tizie S, Al-Worafi Y. Utilization of mobile health applications and determinant factors among health science students at Debre Markos University, northwest Ethiopia in 2022. PLOS ONE 2023;18(7):e0275689 View
  23. Milanti A, Chan D, Parut A, So W, Aslam M. Determinants and outcomes of eHealth literacy in healthy adults: A systematic review. PLOS ONE 2023;18(10):e0291229 View
  24. Shinn E, Garden A, Peterson S, Leupi D, Chen M, Blau R, Becerra L, Rafeedi T, Ramirez J, Rodriquez D, VanFossen F, Zehner S, Mercier P, Wang J, Hutcheson K, Hanna E, Lipomi D. Iterative Patient Testing of a Stimuli-Responsive Swallowing Activity Sensor to Promote Extended User Engagement During the First Year After Radiation: Multiphase Remote and In-Person Observational Cohort Study. JMIR Cancer 2024;10:e47359 View
  25. Chen Y, Turkson-Ocran R, Koirala B, Davidson P, Commodore-Mensah Y, Himmelfarb C. Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study. Journal of Medical Internet Research 2024;26:e46277 View
  26. Wang J, Zhu Z, Shuling Z, Fan J, Jin Y, Gao Z, Chen W, Li X. Effectiveness of mHealth App–Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2024;12:e51478 View
  27. Spaulding E, Miller H, Metlock F, Chepkorir J, Benjasirisan C, Hladek M, Han H. Leveraging community Wi-Fi and spaces for digital health use. Frontiers in Public Health 2024;12 View
  28. Zheng X, Li W. Association between fitness technology use and physical activity mediated by communication behaviors on social media. DIGITAL HEALTH 2024;10 View
  29. Hegeman P, Vader D, Kamke K, El-Toukhy S. Patterns of digital health access and use among US adults: a latent class analysis. BMC Digital Health 2024;2(1) View
  30. Meyer A, Streichert T. Twenty-Five Years of Progress—Lessons Learned From JMIR Publications to Address Gender Parity in Digital Health Authorships: Bibliometric Analysis. Journal of Medical Internet Research 2024;26:e58950 View
  31. Park Y, Tak Y, Kim I, Lee H, Lee J, Lee J, Lee Y. User Experience and Extended Technology Acceptance Model in Commercial Healthcare App Usage among Cancer Patients: A Mixed-Methods Study (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Upadhyaya N, Joshi H, Agrawal C. Intelligent Systems and IoT Applications in Clinical Health. View