Socioeconomic Status and Cardiovascular Outcomes: Challenges and Interventions. Issue 20 (15th May 2018)

• Record Type: Journal Article
• Authors: Schultz, William M.; Kelli, Heval M.; Lisko, John C.; Varghese, Tina; Shen, Jia; Sandesara, Pratik; Quyyumi, Arshed A.; Taylor, Herman A.; Gulati, Martha; Harold, John G.; Mieres, Jennifer H.; Ferdinand, Keith C.; Mensah, George A; Sperling, Laurence S.
• Is Part Of: Circulation. Volume 137:Issue 20(2018)
• Publication Date: 2018-05-15
• Subjects: cardiovascular diseases -- epidemiology -- social class -- social determinants of health -- risk factors; Blood -- Circulation -- Periodicals; Cardiovascular system -- Periodicals; Cardiology -- Periodicals; Heart -- Diseases -- Periodicals; Blood Circulation; Cardiovascular System; Vascular Diseases; 616.1
• DOI: 10.1161/CIRCULATIONAHA.117.029652
• Languages: English
• ISSNs: 0009-7322

Abstract

Abstract : Socioeconomic status (SES) has a measurable and significant effect on cardiovascular health. Biological, behavioral, and psychosocial risk factors prevalent in disadvantaged individuals accentuate the link between SES and cardiovascular disease (CVD). Four measures have been consistently associated with CVD in high-income countries: income level, educational attainment, employment status, and neighborhood socioeconomic factors. In addition, disparities based on sex have been shown in several studies. Interventions targeting patients with low SES have predominantly focused on modification of traditional CVD risk factors. Promising approaches are emerging that can be implemented on an individual, community, or population basis to reduce disparities in outcomes. Structured physical activity has demonstrated effectiveness in low-SES populations, and geomapping may be used to identify targets for large-scale programs. Task shifting, the redistribution of healthcare management from physician to nonphysician providers in an effort to improve access to health care, may have a role in select areas. Integration of SES into the traditional CVD risk prediction models may allow improved management of individuals with high risk, but cultural and regional differences in SES make generalized implementation challenging. Future research is required to better understand the underlying mechanisms of CVD risk that affect individuals of low SES and to determine effective interventions for patients with high risk. We review the current state of knowledge on the impact of SES on the incidence, treatment, and outcomes of CVD in high-income societies and suggest future research directions aimed at the elimination of these adverse factors, and the integration of measures of SES into the customization of cardiovascular treatment.