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Table 3 Multiple regression analysis to predict the paraxanthine/caffeine ratio (N = 203)

From: Assessment of CYP1A2 enzyme activity in relation to type-2 diabetes and habitual caffeine intake

Model summary Covariates Unstandardized coefficients Standardized coefficients p value
B Std. error Beta
  T2D status (Ref: non-T2D) 0.088 0.043 0.146 0.040
Higher caffeine intake (Ref: no) 0.085 0.041 0.146 0.041
R2 0.053     
Adjusted R2 0.043     
Model ANOVA p = 0.004     
  1. Abbreviations: Ref reference, T2D type-2 diabetes, Non-T2D non-type-2 diabetes
  2. Table represents multiple regression analysis to predict the corrected paraxanthine/caffeine ratio. The 2 predictor variables were entered simultaneously. Continuous variables were raw data transformed by square root to achieve a normal distribution (corrected paraxanthine/caffeine ratio). Categorical variables were binary (T2D status, higher caffeine intake). [‘Higher’ caffeine intake > 288 mg/day (Swiss daily average caffeine intake)]