Comparisons among groups were conducted with the analysis of variance (ANOVA) and covariance (ANCOVA) as appropriate.
Correlations between parameters were calculated using Pearson’s correlation coefficient or partial correlation coefficient (r) controlled for age.
Sequential regression was employed to determine if additional parameters could improve the prediction of age beyond that afforded by differences in GlycoAge Test and β-Gal in healthy subjects. A two steps multiple regression was conducted with Age as the dependent variable. GlycoAge Test and β-Gal were included in the analysis at step one, whereas the others parameters were entered at stage two of regression.
Data analysis was carried out with the SPSS/Win program version 22 (SPSS, Chicago, IL). Statistical significance was defined as a two-tailed p value < 0.05.
Correlations between parameters were calculated using Pearson’s correlation coefficient or partial correlation coefficient (r) controlled for age.
Sequential regression was employed to determine if additional parameters could improve the prediction of age beyond that afforded by differences in GlycoAge Test and β-Gal in healthy subjects. A two steps multiple regression was conducted with Age as the dependent variable. GlycoAge Test and β-Gal were included in the analysis at step one, whereas the others parameters were entered at stage two of regression.
Data analysis was carried out with the SPSS/Win program version 22 (SPSS, Chicago, IL). Statistical significance was defined as a two-tailed p value < 0.05.