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

Use and User Demographics of mHealth (344) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Apps, Mobile, Wearables for Diabetes (306) Diabetes Self-Management (495) Diabetes Prevention (86) Mobile Apps for Cardiology (144)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37343, first published .
Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study

Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study

Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study

Authors of this article:

Vera Helen Buss1, 2 Author Orcid Image ;   Marlien Varnfield1 Author Orcid Image ;   Mark Harris2 Author Orcid Image ;   Margo Barr2 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. McCarthy B, Sabharwal J, Chawla S. Old age or cognitive decline? Examining the usability of a mobile health app for older Australians. Informatics for Health and Social Care 2024;49(1):83 View
  2. Zhou C, Guo J, Zhang Y, Huang T, Kaner J. A home health management app designed in the post-epidemic era using empirical evidence based on the demand collection of elderly users. Humanities and Social Sciences Communications 2024;11(1) View
  3. Ozaki I, Nishijima M, Shibata E, Zako Y, Chiang C. Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey. JMIR Human Factors 2024;11:e54673 View