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The strength of relationships between study variables was estimated using standardized path coefficients.
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Bivariate correlations between study variables were calculated by Spearman's rank correlation coefficients.
Bivariate correlations between study variables were calculated by Pearson's correlation coefficients.
Other limitations include this study's cross-sectional nature; temporal relationships between study variables were unable to be determined.
Correlations between study variables are presented in Table 3. Results from regressions on healthy eating (i.e., vegetable consumption) and unhealthy eating (i.e., SSB consumption) are presented in Tables 4 and 5, respectively.
Naturally, the proportion of samples that rejected the false null hypothesis of a zero association between the two study variables was higher with stronger population associations.
The association between tranexamic acid use and study variables was assessed using χ tests for categorical variables and t tests for continuous variables.
Consequently, the relation between early death and the study variables was evaluated using generalised estimating equations [ 19], which are well suited to the analysis of correlated data.
The results of comparison of the Ramadan/Control Ratios between the study variables are presented in Table 2.
The correlations between the study variables are presented in Table 1.
First, descriptive statistics and correlations between all study variables were presented.
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