Evidence map›Paper›PMID 33006940›Full record

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.

Xiaojing Li, Qinliang Liu

Registry-linked trialAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05118373 nacompletednot on this mapstarted 2021, after this paper: background citation

Evaluation of a Generic Behavioural Change Campaign for COVID-19 Prevention in Zambia

TypeinterventionalSponsorCentre for Infectious Disease Research in ZambiaRan2021 to 2021Enrolled2,004ConditionsEvaluation StudyArmsBEHAVIOURAL CHANGE CAMPAIGN FOR COVID-19 PREVENTION IN ZAMBIA
3 · Its place in the literature

Who cites it

150 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
  2. Digital Therapeutics in China: Comprehensive Review.Journal of medical Internet research · 2025
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  17. eHealth Literacy and Knowledge of Social Health Financing Among Undergraduate Healthcare Students in Kenya.International journal of environmental research and public health · 2025
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90 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Xiaojing Li *Center for Health and Medical Communication, School of Media & Communication, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-8473-5594
Qinliang Liu *Center for Health and Medical Communication, School of Media & Communication, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-6053-3269

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health BehaviorHealth Knowledge, Attitudes, PracticeHealth SurveysSocial MediaAdultAsian PeopleBetacoronavirusChinaCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleHealth CommunicationHealth LiteracyHumansMaleCOVID-19disease knowledgeeHealth literacymedia usepandemicpreventive behaviorspublic healthsocial media

Identifiers

PMID33006940
PMCPMC7581310

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.