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In this study, the obtained data were analyzed by descriptive statistics, univariate, and bivariate using the Chi-square test and the odds ratio (OR), as well as multivariate analysis by the IBM SPSS Statistics for Windows version 20.0 [22,23] and the Eldridg Avenue Statistics analytical software version 8 [25]. In the meantime, the model was created using multivariate logistic regression analysis with a significance value of p=0.10, 95% confidence level. The created model was Y=α+β1X1+β2X2+.........+βnXn+e [25].
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