Prediction of Multimorbidity in Brazil: Latest Fifth of a Century Population Study.

Background: Multimorbidity is characterized by the co-occurrence of 2 or more chronic diseases and has been a focus of the health care sector and health policy makers due to its severe adverse effects.

Objective: This paper aims to use the latest 2 decades of national health data in Brazil to analyze the effects of demographic factors and predict the impact of various risk factors on multimorbidity.

Methods: Data analysis methods include descriptive analysis, logistic regression, and nomogram prediction.