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Data analysis was done using SPSS software and both univariate and bivariate analysis were done.
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Bivariate analysis was done to see the association between socio-demographic variables and malaria with under-nutrition.
Bivariate analysis was done using the Chi Square test.
Bivariate analysis was done using Spearman's rank correlations.
A bivariate analysis was done to assess any association between independent variables and missed opportunity.
Bivariate analysis was done for each variable under study in relation to daily tobacco use.
Bivariate analysis was done using Chi-square test statistics to test association between two categorical variables.
Next, bivariate analysis was done to compare depressive symptoms by study characteristics using Chi-square tests.
Bivariate analysis was done to see the association of each independent variable with the outcome variable.
To find association between the exposure variables and adherence, bivariate analysis was done.
Bivariate analysis was done and variables with p-value less than 0.2 were included in the multiple logistic regression analysis.
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