Associations between within-class FA plasma concentrations and changes in CMD risk markers in DIVAS
CMD
REGRESSION
Elastic-net linear regression (ENR) models were conducted to identify and select changes in within-class FA concentrations associated with changes in individual CMD risk markers (dependent variable) measured during the DIVAS RCT. ENR approaches have been successfully implemented in recent nutritional epidemiological research for the identification of simple and predictive models among omics datasets, which often present high dimensionality and risk of collinearity [In this analysis, we adapted the method described by Drouin-Chartier et al. [This method was repeated for each dependent variable of interest, which consisted of 41 CMD risk markers measured in the DIVAS study (Finally, the associations between within-class FA concentrations and CMD risk markers identified by ENR analyses were further tested in fully adjusted multiple linear regression models, including age (continuous; in years), sex (female/male), BMI (continuous; kg/m