Multivariable Modeling in Diagnosis of Latent Forms of Chronic Diseases Among Health Care Workers

Aim: To study associations between selected factors and levels of immune defense among medical personnel. Methods. Multivariable logistic regression models were used to assess the individual contribution of the selected socio-demographic and occupational factors on the levels of immune defense in medical professionals using SPSS software. Results. We identified the following factors contributing to the studied outcome: department where a person works, category of healthcare worker, gender and age. All these factors were significantly associated with the outcomes in binary logistic regression models. Conclusions. The factors that we identified as significant predictors in our models should be used in development of health-protecting strategies directed towards healthcare personnel in clinical settings

Family medicine · Health care · Logistic regression · Multivariable calculus · Fibromyalgia and Chronic Fatigue Syndrome Research · Healthcare professionals’ stress and burnout · Medicine · Workplace Health and Well-being · Internal Medicine