Determinants of COVID-19 Anxiety in Pakistan Through Binary Logistic Regression

Qaisar Mehmood, Maqbool Hussain Sial, Saira Sharif, Muhammad Riaz

Abstract


Background: This study was conducted to evaluate the determinants of anxiety among the people living in hassled environment for last few months due to outbreak of COVID-19.

Methods: 279 participants were interviewed through a questionnaire about COVID-19 anxiety on four likert scales. Data was analyzed by using statistical software IBM SPSS Statistics 21. A binary logistic regression was used to estimate relationship between anxiety and T.V news, social media news, social isolation, disturbance of sleep and decrease in daily income. Significance of these factors are tested at 5 percent level of significance.

Results: 90.33 percent of the respondents are feeling COVID-19 anxiety while 9.67 percent peoples are taking it mild. The values of test statistics for the variables listening of T.V news, social media news, social isolation, disturbance of sleep and decrease in daily income are highly significant at p < 0.05.

Conclusion: The existence of anxiety was found to be highly significance due to listening of T.V news, social media news, social isolation, disturbance of sleep and decrease in daily income.

Keywords: COVID-19; Anxiety; T.V news; Social media news; Social isolation; Binary logistic regression 

 


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References


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DOI: http://dx.doi.org/10.62940/als.v8i4.1037

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