ArticleJMIR mHealth and uHealth2019
Using the Extended Parallel Process Model to Examine the Nature and Impact of Breast Cancer Prevention Information on Mobile-Based Social Media: Content Analysis.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Efficacy of a WeChat-Based, Multidisciplinary, Full-Course Nutritional Management Program on the Nutritional Status of Patients With Ovarian Cancer Undergoing Chemotherapy: Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- 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 · 2023Trial
- Health anxiety and collective sense-making in the Chinese social media sphere: a topic modeling assessment of Weibo chatters.BMC public health · 2026Article
- Decoding Anti-Substance Use Public Service Announcements: Content Analysis Grounded in the Elaboration Likelihood Model and Extended Parallel Process Model.JMIR formative research · 2026Article
- Exploring Topics, Emotions, and Sentiments in Health Organization Posts and Public Responses on Instagram: Content Analysis.JMIR infodemiology · 2025Article
- 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 · 2022Article
- Cancer Communication and User Engagement on Chinese Social Media: Content Analysis and Topic Modeling Study.Journal of medical Internet research · 2021Article
- Promoting HPV vaccination on social media: interactive effects of threat, efficacy and social cues.Human vaccines & immunotherapeutics · 2021Article
- Extended parallel process model (EPPM) in evaluating lung Cancer risk perception among older smokers.BMC public health · 2021Article
- Risk perceptions and attitudinal responses to COVID-19 pandemic: an online survey in Ethiopia.BMC public health · 2021Article
- Disease Prevention Behavior During the COVID-19 Pandemic and the Role of Self-Esteem: An Extended Parallel Process Model.Psychology research and behavior management · 2021Article
- Risk Perception of COVID-19 in Indonesia During the First Stage of the Pandemic.Frontiers in public health · 2021Article
- The effect of multi-supportive nursing on the postoperative rehabilitation of breast cancer patients.American journal of translational research · 2021Article
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Authors and funding
5 authors.
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Abstract
backgroundWith the rise of mobile technology, an increasing number of people use mobile-based social media to access health information. Many scholars have explored the nature of health information on social media; however, the impact of such information on people was understudied.
objectiveThis study aimed to examine the nature and impact of health information on mobile-based social media. Specifically, we investigated how the levels of threat and efficacy of breast cancer prevention information affect individuals' engagement with the information, such as readings and likes.
methodsBreast cancer prevention articles posted on a Chinese mobile-based social media platform (ie, WeChat Subscription Account [WeChat SA]) from January 1 to December 31, 2017, were extracted using the Python Web Crawler. We used content analysis and analysis of covariance to analyze our data.
resultsThe results revealed that the vast majority of titles and main bodies of the articles involved one of the extended parallel process model components: threat or efficacy.
conclusionsBreast cancer prevention information on WeChat SA was well designed. Both threat and efficacy significantly affected the number of readings, whereas only efficacy had a significant effect on the number of likes. Moreover, breast cancer prevention information that contained both high levels of threat and efficacy gained the largest number of readings and likes.
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