Many biodemographic studies use biomarkers of inflammation to understand or predict
chronic disease and aging. Inflamm-aging, ie chronic low-grade inflammation during aging,
is commonly characterized by pro-inflammatory biomarkers. However, most studies use just
one marker at a time, sometimes leading to conflicting results due to complex interactions
among the markers. A multidimensional approach allows a more robust interpretation of the
various relationships between the markers. We applied principal component analysis (PCA) …