Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013

Javier Valero-Elizondo, Jonathan C. Hong, Erica S. Spatz, Joseph A. Salami, Nihar R. Desai, Jamal S. Rana, Rohan Khera, Salim S. Virani, Ron Blankstein, Michael J. Blaha, Khurram Nasir

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Background and aims: Socioeconomic status (SES) has been linked to worse cardiovascular risk factor (CRF) profiles and higher rates of cardiovascular disease (CVD), with an especially high burden of disease for low-income groups. We aimed to describe the trends in prevalence of CRFs among US adults by SES from 2002 to 2013. Methods: Data from the Medical Expenditure Panel Survey was analyzed. CRFs (obesity, diabetes, hypertension, physical inactivity, smoking and hypercholesterolemia), were ascertained by ICD-9-CM and/or self-report. Results: The proportion of individuals with obesity, diabetes and hypertension increased overall, with low-income groups representing a higher prevalence for each CRF. Of note, physical inactivity had the highest prevalence increase, with the “lowest-income” group observing a relative percent increase of 71.1%. Conclusions: Disparities in CRF burden continue to increase, across SES groups. Strategies to potentially eliminate the persistent health disparities gap may include a shift to greater coverage for prevention, and efforts to engage in healthy lifestyle behaviors.

Original languageEnglish (US)
Pages (from-to)301-305
Number of pages5
JournalAtherosclerosis
Volume269
DOIs
StatePublished - Feb 2018

Keywords

  • Cardiovascular disease
  • Epidemiology
  • Health disparities
  • Risk factors

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Fingerprint

Dive into the research topics of 'Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013'. Together they form a unique fingerprint.

Cite this