Statistical Analysis
REGRESSION
Summary statistics such as frequency, mean, standard deviation, median and range were used to describe collected data by the intervention group at baseline and follow-up. Continuous variables were checked for normality in their distribution. For each outcome variable, the difference between T1 and T0 values was computed and a t-test was used to assess variation in the mean. To take into account the effect of potential confounders, regression analyses were run setting outcomes as response variables, intervention group as a predictor and, smoking, eating habits or statin intake as confounders. Statistical significance was set at P<0.05.The sample size of 26 subjects per group was calculated using standard formulas when the outcome measure is a continuous variable. A difference in ALA of 0.8 µg/mL was taken as the reference size effect (All statistical analyses were performed by STATA 16.1 (College Station, TX, USA).