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Normality assumptions for continuous variables were tested using Shapiro-Wilk and Kolmogorov-Smirnov tests.
The differences in means for continuous variables were tested using t-tests.
bDifferences in mean values for continuous variables were tested using t-tests and categorical measures were tested using chi-square and Fisher exact tests; bold indicates significant p < .05.05
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Continuous variables were tested using ANOVA for differences in means.
Differences in socio-demographic variables were tested using T-test for continuous variables and Chi-squared test for categorical variables.
Distributions of all continuous variables were tested for normality using the Shapiro-Wilk test.
For continuous variables, differences in means were tested using ANOVA unless the variable was highly skewed.
Baseline characteristics between randomized groups were tested using t tests for continuous variables and Fisher exact tests for categorical variables.
Differences in data were tested using χ-tests for categorical variables and ANOVA for continuous variables.
Differences were tested using the Wilcoxon rank-sum test for continuous variables and Fisher's exact test for categorical variables.
Significance was tested using the independent sample t-test for normally distributed continuous variables, Mann Whitney test for non-normally distributed continuous variables, and chi-squared for categorical variables.
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