Published on in Vol 2, No 2 (2019): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12496, first published .
Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

Journals

  1. Steinmetz M, Rammos C, Rassaf T, Lortz J. Digital interventions in the treatment of cardiovascular risk factors and atherosclerotic vascular disease. IJC Heart & Vasculature 2020;26:100470 View
  2. Liu Y, Avello M. Status of the research in fitness apps: A bibliometric analysis. Telematics and Informatics 2021;57:101506 View
  3. Ma Y, Liang C, Gu D, Zhao S, Yang X, Wang X. How Social Media Use at Work Affects Improvement of Older People’s Willingness to Delay Retirement During Transfer From Demographic Bonus to Health Bonus: Causal Relationship Empirical Study. Journal of Medical Internet Research 2021;23(2):e18264 View
  4. Schuster A, Kadylak T, Cotten S. Correlation between socio-demographic factors and adoption and use of wearable activity trackers in online American older adults. Educational Gerontology 2023;49(1):1 View
  5. Huang W, Huang H, Wu C. Physical Activity and Social Support to Promote a Health-Promoting Lifestyle in Older Adults: An Intervention Study. International Journal of Environmental Research and Public Health 2022;19(21):14382 View
  6. Suh A, Li M. How the use of mobile fitness technology influences older adults’ physical and psychological well-being. Computers in Human Behavior 2022;131:107205 View
  7. Zemancová Z, Dubovská E, Tavel P. Older Adults’ Motivation to Exercise: Qualitative Insights from Czech Republic. Activities, Adaptation & Aging 2024;48(1):182 View
  8. Moreno-Ligero M, Moral-Munoz J, Failde I, Dueñas M. Physical activity levels in adults with chronic low back pain: A national survey in the general Spanish population. Journal of Rehabilitation Medicine 2023;55:jrm00366 View
  9. Mahmoodi Kahriz B, Snuggs S, Sah A, Clot S, Lamport D, Forrest J, Helme-Guizon A, Wilhelm M, Caldara C, Anin C, Vogt J. Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries. JMIR Human Factors 2023;10:e44993 View
  10. Huang J, Chen J, Zhou L. Motivation crowding effects on the intention for continued use of gamified fitness apps: a mixed-methods approach. Frontiers in Psychology 2024;14 View
  11. Najm A, Niculescu A, Grumezescu A, Beuran M. Emerging Therapeutic Strategies in Sarcopenia: An Updated Review on Pathogenesis and Treatment Advances. International Journal of Molecular Sciences 2024;25(8):4300 View
  12. Okamoto M, Saito Y, Nakamura S, Nagasawa M, Shibuya M, Nagasaka G, Narimatsu H. Smartphone-Based Digital Peer Support for a Walking Intervention Among Public Officers in Kanagawa Prefecture: Single-Arm Pre- and Postintervention Evaluation. JMIR Formative Research 2024;8:e53759 View