Following covariate screening, sixteen variables (age, gender, race, BMI, triglycerides, HDL, ALP, GGT, TB, albumin, BUN, bicarbonate, WBC count, RBC count, MCV, and RDW) were discerned and consolidated into a risk prediction model (model 1) for depression via multivariate logistic regression. Here, ALB is linked to depressive symptom measurement.