ArticleFrontiers in public health2023
Latent profile and network analysis of risk perception among a sample of Chinese university students during the COVID-19 pandemic: a cross-sectional and longitudinal study.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
- Sleep-anxiety symptom networks and subgroup characterization in nasopharyngeal carcinoma patients undergoing chemoradiotherapy: A latent profile and network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Healthcare-related regret coping and related factors among undergraduate nursing interns: a latent profile analysis.BMC medical education · 2026Article
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Authors and funding
4 authors at 3 institutions in 1 country.
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Abstract
Background: The risk perception of contracting COVID-19 is an important topic for assessing and predicting COVID-19 infection and health education during the pandemic. However, studies that use latent profiles and network analysis together to measure the risk perception of COVID-19 are rare. Therefore, this study combined latent profile analysis and network analysis to measure risk perception toward COVID-19 among Chinese university students through a cross-sectional and longitudinal study. Methods: A sample of 1,837 Chinese university students (735 males, 40%) completed the cross-sectional study with an eight-item risk perception questionnaire in January 2020, while 334 Chinese university students (111 males, 33.2%) completed the longitudinal study at three time points. Results: A two-class model including a low risk perception class ( Conclusions: The risk perception of contracting COVID-19 decreased continually during the COVID-19 pandemic, which indicated the importance of cultural influence and effective government management in China. In addition, university students displayed strong trust and confidence in the government's ability to fight COVID-19. The results indicate that the government should take strong measures to prevent and intervene in various risks and reinforce the public's trust through positive media communications.
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