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Significance between continuous data was analysed by a student's t-test.
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Differences between continuous data were analysed by two-tailed unpaired Student's t-test.
Pairwise comparisons between continuous data were done using unpaired two-tailed Student's t-test.
Bivariate relations between continuous data were assessed by Pearson's correlation coefficients (r).
Bivariate correlations between continuous data were carried out by Spearman's ρ.
Differences between continuous data were examined using independent sample t-tests for normally distributed data or Mann–Whitney tests for non-parametric data.
Correlations between continuous data were assessed using the non-parametric Spearman rank correlation coefficient, and differences between groups were tested by the Wilcoxon rank-sum test.
The differences between continuous data were analyzed by t-test, and corrected χ analysis was used for dichotomous or categorical variables.
Relationships between continuous data were examined using linear regression, the gradient of the best-fit slope with 95% CI and r values are reported.
Comparison between groups regarding continuous data was performed using t-test and comparisons of categorical data with χ.
Distribution of continuous data was compared between groups using Mann Whitney U non-parametric testing.
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