Women and ethnoracial minorities with poor cardiovascular health measures associated with a higher risk of developing mood disorder.

ABSTRACT:

Background

Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypothesized that longitudinal cardiovascular health (CVH) measurements would be informative for MDS prediction.

Methods

To test this hypothesis, the American Heart Association's Guideline Advantage (TGA) dataset was used, which contained longitudinal EHR from 70 outpatient clinics. The statistical analysis and machine learning models were employed to identify the associations of the MDS and the longitudinal CVH metrics and other confounding factors.

Results

Patients diagnosed with MDS consistently had a higher proportion of poor CVH compared to patients wit

SUBMITTER: Guo A 

PROVIDER: S-EPMC8709948 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature