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Latent Profile Analysis of Perceptions and Attitudes Towards COVID-19 in a Sample of Chinese People.

Zhimin Niu | Li Li | Hongying Li | Songli Mei | Hui Jiang | Zhiyong Deng | Jun Xin
Frontiers in public health | 2021

Background: The novel coronavirus-2019 (COVID-19) disease has spread quickly throughout China and around the world, endangering human health and life. Individuals' perceptions and attitudes as well as related health education measures may affect disease progression and prognosis during the COVID-19 outbreak. To promote and implement health education, research must focus on the perceptions and attitudes towards COVID-19 among Chinese people. The present study aimed to examine the profiles and predictive factors of the perceptions and attitudes towards COVID-19 in a sample of Chinese people. Methods: A sample of 2,663 Chinese people comprising medical staff and members of the general public completed an online survey on Wenjuanxing. The survey measured demographic variables (e.g., gender, age, education level, and place of residence) and perceptions and attitudes towards COVID-19. Results: Two profiles of perceptions and attitudes towards COVID-19 (positive and negative perceptions and attitudes) were identified in the sample. Place of residence during the COVID-19 pandemic and first response to COVID-19 were found to be independent predictive factors for COVID-19 related perceptions and attitudes. Conclusion: In addition to drug therapy and mental health services, the perceptions and attitudes of Chinese people towards COVID-19 should be considered when promoting health education during the COVID-19 pandemic.

Pubmed ID: 34646804

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RRID:SCR_016142

Software for statistical analysis and spreadsheet editing that is built on top of the R statistical language. It encourages a “community driven” philosophy, where users can develop and publish their analyses to make them available to a wide audience.

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