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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.
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Data analysis was done using SPSS software and both univariate and bivariate analysis were done.
A further advantage of estimating BF% by CUN-BAE is that the well-known sex differences in BMI are dispelled because sex is included in the equation, as evidenced in Fig. 2 B. To evaluate the degree of association of BF% estimated with the CUN-BAE with different cardiometabolic risk factors and to compare it with BMI and waist circumference, a bivariate correlation analysis was done.
Bivariate and multivariate analysis was done using SPSS 16.0 statistical software.
Bivariate and multivariate analysis was done using SPSS 10.0 statistical software.
Bivariate Spearman's correlation analysis was done to determine significant associations between cardiometabolic risk factors and adiposity indices while adjusting for multiple comparisons.
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