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Review paper

Adherence to preventive behaviours and risk of COVID-19 infection: a case-control study

By
Reza Hosseinabadi ,
Reza Hosseinabadi

Social Determinants of Health Research Center, School of Nursing and Midwifery, Lorestan University of Medical Sciences , Khorramabad , Iran

Shoorangiz Biranvand ,
Shoorangiz Biranvand

Social Determinants of Health Research Center, School of Nursing and Midwifery, Lorestan University of Medical Sciences , Khorramabad , Iran

Khatereh Anbari Orcid logo
Khatereh Anbari
Contact Khatereh Anbari

Social Determinants of Health Research Center, School of Nursing and Midwifery, lorestan University of Medical Sciences , Khorramabad , Iran

Abstract

Aim
To investigate the relationship between adherence to preventive behaviors and risk of COVID-19 infection.
Methods
In this case-control study, 491 participants were selected through convenience sampling. First, the samples of the case
group (COVID-19 patients) were selected, and then the control group was matched with the case group based on age, gender, and occupation. The criteria for diagnosing COVID-19 for the case group were self-reported positive PCR test or lung involvement on a chest CT scan. Descriptive statistics were used to summarize the results, and an odds ratio was calculated to quantify the magnitude of the association using a 95% confidence interval (CI) and a p<0.05.
Results
The results showed that, compared to those who always wear a mask, the risk of contracting SARS-CoV-2 was 3.153 times higher in those who used no masks (95% CI: 0.953-10.434) and 3.779 times higher in those who used masks occasionally (95% CI:1.929-7.37). The participants who never observed physical distancing and handwashing were 2.25 times more likely to get COVID-19 than those who always observed (95% CI:1.719-4.954; OR=2.258).
Conclusion
Participants who fail in following the protective measures, especially wearing a mask regardless of its type, had
a higher risk of COVID-19 infection. Therefore, it is recommended to use a mask consistently, especially during the peak of COVID-19 waves.

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