The data were coded, cleaned, edited, and entered into Epi data version to minimize logical errors and design skipping patterns. Then, the data were exported to SPSS version 24 for analysis. Summary statistics (mean or median) for continuous variables and percentage and frequency for categorical variables were computed for case and control groups separately. Tables and figures were used to present the data. The Bivariable analysis was used to see the association between each determinant factors and the outcome variable. The goodness of fit was tested by the Hosmer-Lemeshow statistic test. All variables with a P-value ≤0.25 in the Bivariable analysis were included in the final model of multivariable analysis to control all possible confounders. A multi co-linearity test was carried out to see the correlation between independent variables by using standard error (standard error > 2 was considered as suggestive of the existence of multi co-linearity). Adjusted odds ratios along with 95% CI were estimated and P-value < 0.05 was considered statistically significant.

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