ArticleJournal of medical Internet research2020
Social Media Use, eHealth Literacy, Disease Knowledge, and Preventive Behaviors in the COVID-19 Pandemic: Cross-Sectional Study on Chinese Netizens.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05118373 (Evaluation of a Generic Behavioural Change Campaign for COVID-19 Prevention in Zambia), which is not on this map. Cited by 150 papers, 8 of them syntheses that pooled it.
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Evaluation of a Generic Behavioural Change Campaign for COVID-19 Prevention in Zambia
Who cites it
150 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- eHealth Literacy and Its Outcomes Among Postsecondary Students: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Digital Therapeutics in China: Comprehensive Review.Journal of medical Internet research · 2025Pooled it
- Factors Influencing eHealth Literacy Worldwide: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- The role of social media on COVID-19 preventive behaviors worldwide, systematic review.PloS one · 2024Pooled it
- The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis.Journal of medical Internet research · 2023Pooled it
- Determinants and outcomes of eHealth literacy in healthy adults: A systematic review.PloS one · 2023Pooled it
- Pooled it
- Pooled it
- Factors associated with COVID-19 preventive health behaviors among the general public in Mexico City and the State of Mexico.PloS one · 2021Trial
- YouTube, TikTok, and Bilibili as sources of medical information on lumbar spinal stenosis: A cross-sectional content analysis study.Medicine · 2026Article
- The relationship between digital health literacy and mental health promotion behaviors among Chinese older adults: exploring the mediating role of health beliefs.BMC geriatrics · 2026Article
- The Quality of Evidence of and Engagement With Video Medical Claims.JAMA network open · 2026Article
- Article
- Trust and verification in AI-enabled physician chatbots for chronic disease management: evidence from digital health behavior.Frontiers in medicine · 2026Article
- Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy.Frontiers in artificial intelligence · 2026Article
- Social Media, Health Consciousness, and Cultural Influences on Sugar Reduction Behaviors in Chinese Youth: Extending the Stimulus-Organism-Response Model.Journal of medical Internet research · 2025Article
- eHealth Literacy and Knowledge of Social Health Financing Among Undergraduate Healthcare Students in Kenya.International journal of environmental research and public health · 2025Article
- Health Information Seeking and Behavior in the Korean Population During the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2025Article
- Internet Usage, Social Participation, and Depression Symptoms Among Middle-Aged and Older Adult Chinese Individuals Before and During the COVID-19 Pandemic: Evidence From the China Health and Retirement Longitudinal Observational Study.Journal of medical Internet research · 2025Observational
- How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches.JMIR infodemiology · 2025Article
90 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince its outbreak in January 2020, COVID-19 has quickly spread worldwide and has become a global pandemic. Social media platforms have been recognized as important tools for health-promoting practices in public health, and the use of social media is widespread among the public. However, little is known about the effects of social media use on health promotion during a pandemic such as COVID-19.
objectiveIn this study, we aimed to explore the predictive role of social media use on public preventive behaviors in China during the COVID-19 pandemic and how disease knowledge and eHealth literacy moderated the relationship between social media use and preventive behaviors.
methodsA national web-based cross-sectional survey was conducted by a proportionate probability sampling among 802 Chinese internet users ("netizens") in February 2020. Descriptive statistics, Pearson correlations, and hierarchical multiple regressions were employed to examine and explore the relationships among all the variables.
resultsAlmost half the 802 study participants were male (416, 51.9%), and the average age of the participants was 32.65 years. Most of the 802 participants had high education levels (624, 77.7%), had high income >¥5000 (US $736.29) (525, 65.3%), were married (496, 61.8%), and were in good health (486, 60.6%). The average time of social media use was approximately 2 to 3 hours per day (mean 2.34 hours, SD 1.11), and the most frequently used media types were public social media (mean score 4.49/5, SD 0.78) and aggregated social media (mean score 4.07/5, SD 1.07). Social media use frequency (β=.20, P<.001) rather than time significantly predicted preventive behaviors for COVID-19. Respondents were also equipped with high levels of disease knowledge (mean score 8.15/10, SD 1.43) and eHealth literacy (mean score 3.79/5, SD 0.59). Disease knowledge (β=.11, P=.001) and eHealth literacy (β=.27, P<.001) were also significant predictors of preventive behaviors. Furthermore, eHealth literacy (P=.038) and disease knowledge (P=.03) positively moderated the relationship between social media use frequency and preventive behaviors, while eHealth literacy (β=.07) affected this relationship positively and disease knowledge (β=-.07) affected it negatively. Different social media types differed in predicting an individual's preventive behaviors for COVID-19. Aggregated social media (β=.22, P<.001) was the best predictor, followed by public social media (β=.14, P<.001) and professional social media (β=.11, P=.002). However, official social media (β=.02, P=.597) was an insignificant predictor.
conclusionsSocial media is an effective tool to promote behaviors to prevent COVID-19 among the public. Health literacy is essential for promotion of individual health and influences the extent to which the public engages in preventive behaviors during a pandemic. Our results not only enrich the theoretical paradigm of public health management and health communication but also have practical implications in pandemic control for China and other countries.
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