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Money and Food Insecurity Tied to Faster Heart Aging, Mayo Clinic AI Study Finds

An AI read of routine ECGs from more than 280,000 patients linked social conditions to biologically older hearts more strongly than many traditional medical risks.

Overview

  • Financial strain and food insecurity emerged as the most powerful social determinants associated with accelerated cardiac aging and higher mortality risk.
  • The cross-sectional analysis drew on Mayo Clinic patient data from 2018–2023, using an AI-enabled ECG to estimate a cardiac age gap and structural equation modeling to map risk pathways.
  • In mortality analyses reported by StudyFinds, financial strain was linked to a 60% higher two-year death risk compared with 10% for prior heart attack, and housing instability was linked to an 18% increase.
  • Across nine surveyed domains, the combined effect of social determinants outweighed conventional clinical risk factors in predicting cardiac biological aging.
  • Authors urge screening for social needs and targeted, patient-centered interventions, while noting limits to generalizability due to internal AI validation and a predominantly non-Hispanic White cohort.