You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Inequalities in cardiovascular disease mortality: the role of behavioural, physiological and social risk factors
Alison Beauchamp, Anna Peeters, Rory Wolfe, Gavin Turrell, Linton R Harriss, Graham G Giles, Dallas R English, John McNeil, Dianna Magliano, Stephen Harrap, Danny Liew, David Hunt and Andrew Tonkin
Journal of Epidemiology and Community Health (1979-)
Vol. 64, No. 6 (June 2010), pp. 542-548
Published by: BMJ
Stable URL: http://www.jstor.org/stable/20721245
Page Count: 7
You can always find the topics here!Topics: Predisposing factors, Mortality, Primary education, Socioeconomics, Cardiovascular diseases, Disease risk, Secondary education, Behavior modeling, Community health, Disease models
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Background While the relationship between socio-economic disadvantage and cardiovascular disease (CVD) is well established, the role that traditional cardiovascular risk factors play in this association remains unclear. The authors examined the association between education attainment and CVD mortality and the extent to which behavioural, social and physiological factors explained this relationship. Methods Adults (n=38 355) aged 40-69 years living in Melbourne, Australia were recruited in 1990-1994. Subjects with baseline CVD risk factor data ascertained through questionnaire and physical measurement were followed for an average of 9.4 years with CVD deaths verified by review of medical records and autopsy reports. Results CVD mortality was higher for those with primary education only, compared with those who had completed tertiary education, with an HR of 1.66 (95% CI 1.10 to 2.49) after adjustment for age, country of birth and gender. Those from the lowest educated group had a more adverse cardiovascular risk factor profile compared with the highest educated group, and adjustment for these risk factors reduced the HR to 1.18 (95% CI 0.78 to 1.77). In analysis of individual risk factors, smoking and waist circumference explained most of the difference in CVD mortality between the highest and lowest education groups. Conclusions Most of the excess CVD mortality in lower socio-economic groups can be explained by known risk factors, particularly smoking and overweight. While targeting cardiovascular risk factors should not divert efforts from addressing the underlying determinants of health inequalities, it is essential that known risk factors are addressed effectively among lower socio-economic groups.
Journal of Epidemiology and Community Health (1979-) © 2010 BMJ