Statistical analysis
Data were analyzed using STATA 15. Continuous variables are presented as
Mean (SD) while categorical variables as Percentages and numbers.
Frequencies of correct knowledge, attitudes and practices answers were
described. Total Knowledge scores were classified by demographic
characteristics and compared using independent-samples t test and
one-way analysis of variance (ANOVA) as appropriate. Multiple linear
regression analysis was conducted using all demographic variables as
predictors and knowledge score as the outcome to identify factors
associated with knowledge. Binary logistic regression analyses were used
to identify demographic factors associated with attitude towards the
preventable nature of the disease. Unstandardized regression
coefficients with standard error, β (SE), and odds ratios along with
their 95% confidence intervals, OR (95%CI) were used to quantify the
associations between predictors and the outcomes. The statistical
significance level was set at p < 0.05 (two-sided).