Factors Predicting Monitoring and Preventive Behaviors of COVID-19 among Nursing Students
Keywords:
Factors predicting behavior, COVID-19 monitoring and prevention, Nursing studentAbstract
This predictive research aimed to examine factors predicting monitoring and preventive behaviors of COVID-19 among nursing students. Two-hundred and four nursing students were selected as the sample group, calculated by G*power 3.1.9.7 and selected by stratified random sampling. The tools used in the study were (1) the test of knowledge about COVID-19 disease, monitoring and prevention of COVID-19, (2) a questionnaire about factors related to monitoring and preventive behaviors of COVID-19, and (3) a questionnaire about monitoring and preventive behaviors of COVID-19. Descriptive statistics (frequency, percentage and standard deviation), the Pearson correlation coefficient, and stepwise multiple regression were used to analyze data. The results revealed that attitude towards COVID-19 disease, perception of benefits of COVID-19 prevention, social support, knowledge about COVID-19 and monitoring and prevention of COVID-19 could predict behaviors of nursing students towards monitoring and prevention of the disease approximately 38.7 percent with a statistical significance at .05 (R2=.387, p<.05). Perception of benefits of COVID-19 prevention (Beta=.327, p<.05) and the attitude towards the disease and its prevention (Beta=.247, p<.05) were significant predictors of the students’ monitoring and preventive behaviors.
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