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

Nutrition & Metabolism

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

Model summary	Covariates	Unstandardized coefficients		Standardized coefficients	p value
Model summary	Covariates	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

Abbreviations: Ref reference, T2D type-2 diabetes, Non-T2D non-type-2 diabetes
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)]

ISSN: 1743-7075