Figure 1.

Variables independently associated with low or medium educational attainment compared with high educational attainment identified by the MGM algorithm in GCKD cohort study participants included in the current analyses. In the network representation, yellow nodes represent clinical chemistry parameters. Continuous variables are represented as circles and discrete variables as rectangles. Positive and negative associations are illustrated as blue and red edges, respectively. The strength of the association, that is, the weight of the corresponding coefficient, is encoded by the edge width. (a) First-order neighborhood of low versus high educational attainment. The first-order neighborhood as identified by the MGM comprises only nodes that are directly associated with low versus high educational attainment. The edges are ordered according to their strength in a clockwise manner for positive (from low income to CRP) and in an anticlockwise manner for negative associations (from private insurance to sodium), respectively. (b) First-order neighborhood of medium versus high educational attainment. The edges are ordered according to their strength in a clockwise manner for positive (from low income to HbA1c) and in an anticlockwise manner for negative associations (from private insurance to hemoglobulin), respectively. BMI, body mass index; CRP, C-reactive protein; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; GCKD, German Chronic Kidney Disease; HbA1c, hemoglobin A1c; HDL, high-density lipoprotein; iPTH, intact plasma parathyroid hormone; MGM, mixed graphical model; trigly, triglyceride.