IJCEMR
Multivariate Logistic Analysis and Intervention Countermeasures on the Effects of Psychological Changes in Patients with COVID-19 during Treatment
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Abstract
Objectives: to explore the multivariate Logistic analysis and intervention countermeasures on the influence of psychological changes of COVID-19 patients among returned overseas migrant workers during treatment. Methods: A questionnaire was conducted via the Internet to 100 COVID-19 patients among returned overseas workers who were treated from March 2020 to April 2020. The 100 patients were divided into two groups. After the questionnaire survey, the psychological effects of the 100 patients were evaluated, the clinical data characteristics of the two groups were compared, and the results of multivariate logistic regression model were analyzed. Results: The questionnaire survey data of the 100 COVID-19 patients showed no significant difference in gender, age, permanent residence, average monthly income and education level (p > 0.05). Univariate and multivariate Logistic results showed that the incidence of anxiety, depression, loneliness and fear in COVID-19 patients during treatment was not significantly correlated with gender, marital status and medical background (p > 0.05), but it was significantly correlated with age, permanent residence, average monthly income and education level (p < 0.05). Conclusion: Age, permanent residence, average monthly income and education level will affect the psychological state of COVID-19 patients to varying degrees. Consequently, clinicians shall closely observe the psychological changes of COVID-19 patients, and professional psychologists and nurses shall be invited to carry out targeted psychological nursing and intervention for existing problems among patients so as to help COVID-19 patients release their unhealthy emotions. This is of great significance, can promote the effective control of diseases of patients with COVID-19 and is worthy of popularization and application.
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How to cite this paper
Multivariate Logistic Analysis and Intervention Countermeasures on the Effects of Psychological Changes in Patients with COVID-19 during Treatment
How to cite this paper: Guangtao Li, Yaping Wang, Dongxu Zhao, Heyi Zhang, Zhichao Shao, Dan Ma, Xiqiu Zeng. (2021) Multivariate Logistic Analysis and Intervention Countermeasures on the Effects of Psychological Changes in Patients with COVID-19 during Treatment. International Journal of Clinical and Experimental Medicine Research, 5(4), 460-465.
DOI: http://dx.doi.org/10.26855/ijcemr.2021.10.007
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