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

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


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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World Health Organization (2020). Coronavirus disease (COVID-2019): Situation report: Retrieved january 21, 2020, from: :source/coronaviruse/situation-reports/20200314-s.

World Health Organization (2020). Coronavirus disease (COVID-2019): Situation report-22.Retrieved March 16, 2020, from: source/coronaviruse/situation-reports/20200314-sitrep-54 COVID19.pdf?sfvrsn=dcd46351_2.itrep-54-COVID-19.pdf?sfvrsn=dcd46351_2.

Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. Jama. 2020;323(11):1061-9:

Dong L, Hu S, Gao J. Discovering drugs to treat coronavirus disease 2019 (COVID-19). Drug discoveries & therapeutics. 2020;14(1):58-60.

Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. General psychiatry. 2020;33(2).¬

Ahorsu DK, Lin C-Y, Imani V, Saffari M, Griffiths MD, Pakpour AH. The fear of COVID-19 scale: development and initial validation. International journal of mental health and addiction. 2020:1-9.

Huang Y, Zhao N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey. Psychiatry research. 2020;288:112954.

Xiangyu K, Kailian Z, Min T, Fanyang K, Jiahuan Z, Le D, et al. Prevalence and Factors Associated with Depression and Anxiety of Hospitalized Patients with COVID-19. https://www medrxiv org/content/medrxiv/early/2020/04/05/202003 2420043075 full pdf. 2020.

Mahmood QK, Jafree SR, Jalil A, Nadir SMH, Fischer F. Anxiety amongst physicians during COVID-19: cross-sectional study in Pakistan. BMC public health. 2021;21(1):1-10.

Islam MA, Barna SD, Raihan H, Khan MNA, Hossain MT. Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PloS one. 2020;15(8):e0238162.

Shahnaz S, Ali SI, ul Haq I, Akhtar H, Ali I, Fatima R, et al. Levels of Anxiety and Stress during Pandemic of COVID-19 among the General Population of Karachi, Pakistan. Journal of Pharmaceutical Research International. 2021:44-8.


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