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Correlation between variables were expressed by Spearman's rho test.
Relationships between variables were expressed using Spearman correlation coefficients.
Associations between variables were expressed as odds ratios (OR) and 95% confidence intervals (95% CI).
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Correlation between variables was expressed as R2 (linear regression analysis).
In this case, the extent of the association between variables was expressed as the b coefficient.
Associations between the variables were expressed as unadjusted odds ratios (ORs) and 95% confidence interval (CIs).
Measures of association between outcome variable and explanatory variables were expressed as HR with 95% level of confidence intervals (CI).
The magnitude and direction of the relationship between the outcome and predictor variables were expressed as odds ratios (OR) and statistical significance was determined at the 95percentt confident interval level (CI).
Percentage distributions of the relevant characteristics of the respondents were carried out, and multivariable logistic regression analysis was used to measure the magnitude and direction of the relationship between the outcome and predictor variables were expressed as odds ratios (OR) and statistical significance was determined at the 95percentt confident interval level (CI).
Relationships between an outcome and explanatory variables were expressed as adjusted odds ratios (ORs) in case of logistic regression, incidence rate ratios (IRRs) for negative binomial and mean differences for linear or tobit models, respectively, with corresponding 95% confidence intervals (CIs).
Differences between groups on the various study variables were expressed in terms of means and the standard deviation (SD) or in percentage.
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