Consistency and completeness of responses filled in questionnaires were first checked. Data were pre-coded manually, and it was entered into EPI-info 3.5.2 then transported to SPSS 21 version for analysis. Data editing was done after data entry by running frequencies then checking for missing values and outliers. Descriptive statistical analysis was done and presented in percentage, mean, standard deviation (SD), table, and graphs. Bivariate analysis between dependent and independent variables was done using binary logistic regression. Multicollinearity of independent variables was checked by Variance Inflation Factor (VIF), and all values were below the recommended maximum VIF values of four. All covariates that are significant at p-value < 0.25 in bivariate analysis were considered for multivariate analysis to control all possible confounders. Association was expressed as crude odds ratios (COR) and adjusted odds ratio (AOR), and their corresponding 95% confidence intervals (CIs) were obtained from logistic regression models. Odds ratios (OR) were reported together with their 95% CI, and statistical significance was declared at P-value < 0.05.

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