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

Mobile Health (mhealth) (2974) Demographics of Users, Social & Digital Divide (756) Use and User Demographics of mHealth (341) Cardiac Risk and Cardiac Risk Calculators (47) Public (e)Health, Digital Epidemiology and Public Health Informatics (743) Cardiovascular Disease Prevention (140)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46277, first published .
Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study

Authors of this article:

Yuling Chen1 Author Orcid Image ;   Ruth-Alma Turkson-Ocran2 Author Orcid Image ;   Binu Koirala1 Author Orcid Image ;   Patricia M Davidson1, 3 Author Orcid Image ;   Yvonne Commodore-Mensah1, 4 Author Orcid Image ;   Cheryl Dennison Himmelfarb1, 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (15) Metrics

Journals

  1. Hu J, Li C, Ge Y, Yang J, Zhu S, He C. Mapping the Evolution of Digital Health Research: Bibliometric Overview of Research Hotspots, Trends, and Collaboration of Publications in JMIR (1999-2024). Journal of Medical Internet Research 2024;26:e58987 View
  2. Jia Y, Dong M, Feng J, Hu J, Hu H, Yuan T, Song J. The effectiveness of a nurse-led of home-based cardiac rehabilitation based on instant information intervention in the prognosis of patients with TAVR: a randomized controlled trial protocol. Current Problems in Cardiology 2024:102967 View