Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13987, first published .
Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis

Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis

Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis

Journals

  1. Chen X, Zhou X, Li H, Li J, Jiang H. The value of WeChat application in chronic diseases management in China. Computer Methods and Programs in Biomedicine 2020;196:105710 View
  2. Chen L, Tang H, Liao S, Hu Y. e-Health Campaigns for Promoting Influenza Vaccination: Examining Effectiveness of Fear Appeal Messages from Different Sources. Telemedicine and e-Health 2021;27(7):763 View
  3. Lin H, Chen C. Disease Prevention Behavior During the COVID-19 Pandemic and the Role of Self-Esteem: An Extended Parallel Process Model. Psychology Research and Behavior Management 2021;Volume 14:123 View
  4. Zhang L, Jung E. How does WeChat’s active engagement with health information contribute to psychological well-being through social capital?. Universal Access in the Information Society 2022;21(3):657 View
  5. Birhanu Z, Ambelu A, Fufa D, Mecha M, Zeynudin A, Abafita J, Belay A, Doyore F, Oljira L, Bacha E, Feyisa J, Hadis Z, Ayele K, Addisu Y, Gutu B, Tesfaye D, Tilahun T, Imana G, Tolosa T, Mekonen S, Yitayih Y, Jibat N, Moges M, Adamu A, Teym A, Kenea A, Addis T, Mengesha A, Kebede Y. Risk perceptions and attitudinal responses to COVID-19 pandemic: an online survey in Ethiopia. BMC Public Health 2021;21(1) View
  6. Mbwogge M. Peer Review of "Cognitive Factors Associated With Public Acceptance of COVID-19 Nonpharmaceutical Prevention Measures: Cross-sectional Study". JMIRx Med 2022;3(2):e37121 View
  7. Mohammed A, Desu A, Acheampong P, Mensah K, Osei F, Yeboah E, Amanor E, Owusu-Dabo E. Effect of fear appeal mobile phone messaging on health behaviors of caregivers with children under-five in Ghana. Health Promotion International 2022;37(4) View
  8. Zhang Z, Jin J, Luo C, Chen A. Excavating the social representations and perceived barriers of organ donation in China over the past decade: A hybrid text analysis approach. Frontiers in Public Health 2022;10 View
  9. Chen L, Yang X, Huang X. Promoting HPV vaccination on social media: interactive effects of threat, efficacy and social cues. Human Vaccines & Immunotherapeutics 2021;17(11):4442 View
  10. Luo C, Zhang Z, Jin J. Recommending Breast Cancer Screening to My Mum: Examining the Interplay of Threat, Efficacy, and Virality on Recommendation Intention in the Chinese Context. International Journal of Environmental Research and Public Health 2023;20(2):907 View
  11. Zarghami F, Allahverdipour H, Jafarabadi M. Extended parallel process model (EPPM) in evaluating lung Cancer risk perception among older smokers. BMC Public Health 2021;21(1) View
  12. Chen L, Wang P, Ma X, Wang X. Cancer Communication and User Engagement on Chinese Social Media: Content Analysis and Topic Modeling Study. Journal of Medical Internet Research 2021;23(11):e26310 View
  13. Tejamaya M, Widanarko B, Erwandi D, Putri A, Sunarno S, Wirawan I, Kurniawan B, Thamrin Y. Risk Perception of COVID-19 in Indonesia During the First Stage of the Pandemic. Frontiers in Public Health 2021;9 View
  14. Luo C, He Y, Xu Y, Yang X, Wang H. How does loss-versus-gain message framing affect HPV vaccination intention? Mediating roles of discrete emotions and cognitive elaboration. Current Psychology 2024;43(10):9443 View
  15. Siddiqi A. COVID-19 in social media: the effect of fear appeal messages in Facebook on users’ perception of hygienic measures to prevent contracting the disease. Media Asia 2024;51(3):448 View
  16. Xiao T, Kong S, Zhang Z, Hua D, Liu F. A review of big data technology and its application in cancer care. Computers in Biology and Medicine 2024;176:108577 View