Literature DB >> 30026118

Socioeconomic variation in absolute cardiovascular disease risk and treatment in the Australian population.

Ellie Paige1, Jennifer Welsh2, Jason Agostino2, Bianca Calabria2, Emily Banks3, Rosemary J Korda2.   

Abstract

Cardiovascular disease (CVD), preventable through appropriate management of absolute CVD risk, disproportionately affects socioeconomically disadvantaged individuals. The aim of this study was to estimate absolute and relative socioeconomic inequalities in absolute CVD risk and treatment in the Australian population using cross-sectional representative data on 4751 people aged 45-74 from the 2011-12 Australian Health Survey. Poisson regression was used to calculate prevalence differences (PD) and ratios (PR) for prior CVD, high 5-year absolute risk of a primary CVD event and guideline-recommended medication use, in relation to socioeconomic position (SEP, measured by education). After adjusting for age and sex, the prevalence of high absolute risk of a primary CVD event among those of low, intermediate and high SEP was 12.6%, 10.9% and 7.7% (PD, low vs. high = 5.0 [95% CI: 2.3, 7.7], PR = 1.6 [1.2, 2.2]) and for prior CVD was 10.7%, 9.1% and 6.7% (PD = 4.0 [1.4, 6.6], PR = 1.6 [1.1, 2.2]). The proportions using preventive medication use among those with high primary risk were 21.3%, 19.5% and 29.4% for low, intermediate and high SEP and for prior CVD, were 37.8%, 35.7% and 17.7% (PD = 20.1 [9.7, 30.5], PR = 2.1 [1.3, 3.5]). Proportions at high primary risk and not using medications among those of low, intermediate and high SEP were 10.6%, 8.8% and 4.7% and with prior CVD and not using medications were 8.5%, 6.3% and 4.1%. Findings indicate substantial potential to prevent CVD and reduce inequalities through appropriate management of high absolute risk in the population.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Absolute risk; Cardiovascular disease; Inequalities; Socioeconomic position

Mesh:

Year:  2018        PMID: 30026118     DOI: 10.1016/j.ypmed.2018.07.011

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  4 in total

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Authors:  Bonnie Beasant; Georgie Lee; Vanessa Vaughan; Mojtaba Lotfaliany; Sarah Hosking
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2.  Education-related inequalities in cause-specific mortality: first estimates for Australia using individual-level linked census and mortality data.

Authors:  Jennifer Welsh; Grace Joshy; Lauren Moran; Kay Soga; Hsei-Di Law; Danielle Butler; Karen Bishop; Michelle Gourley; James Eynstone-Hinkins; Heather Booth; Lynelle Moon; Nicholas Biddle; Antony Blakely; Emily Banks; Rosemary J Korda
Journal:  Int J Epidemiol       Date:  2022-06-14       Impact factor: 7.196

3.  Projected New-Onset Cardiovascular Disease by Socioeconomic Group in Australia.

Authors:  Kaitlyn Hastings; Clara Marquina; Jedidiah Morton; Dina Abushanab; Danielle Berkovic; Stella Talic; Ella Zomer; Danny Liew; Zanfina Ademi
Journal:  Pharmacoeconomics       Date:  2022-01-17       Impact factor: 4.558

4.  Education-related variation in coronary procedure rates and the contribution of private health care in Australia: a prospective cohort study.

Authors:  Veronica Hughes; Ellie Paige; Jennifer Welsh; Grace Joshy; Emily Banks; Rosemary J Korda
Journal:  Int J Equity Health       Date:  2020-08-14
  4 in total

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