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T-tests for continuous variables were applied using Intercooled STATA version 8 (Stata Corporation, 2003).
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Comparisons of continuous variables between groups were applied using the Mann – Whitney and Wilcoxon tests.
Pearson's chi-square test or Fisher's exact test for categorical variables and Mann-Whitney U test for continuous variables were used for bivariate inference methods.
Data for continuous variables are reported using means and SDs.
ANCOVA for continuous variables and logistic regression models for categorical variables were applied for the comparison across obesity status.
Distributions of continuous variables were tested for normality using the Shapiro-Francia test, and, if appropriate, the natural log transformations of skewed variables were applied in subsequent analyses.
Comparisons of continuous variables were performed using Mann–Whitney U test that can be applied on unknown distributions for two small sets of observation (n < 30).
For the analyses comparing two patient groups, Pearson's correction was applied to the chi-square tests and continuous variables were compared using the Student t test.
Continuous variables were tested using ANOVA for differences in means.
Continuous variables were described using summary statistics.
All continuous variables were checked for normality using Kolmogorov Smirnov test.
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