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.
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.
Authors: Dana A Glei; Noreen Goldman; Vladimir M Shkolnikov; Dmitri Jdanov; Svetlana Shalnova; Maria Shkolnikova; Maxine Weinstein Journal: Soc Sci Med Date: 2012-11-27 Impact factor: 4.634
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Authors: Per Wändell; Axel C Carlsson; Danijela Gasevic; Martin J Holzmann; Johan Ärnlöv; Jan Sundquist; Kristina Sundquist Journal: Eur J Public Health Date: 2018-12-01 Impact factor: 3.367
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Authors: Joel W Hotchkiss; Carolyn Davies; Linsay Gray; Catherine Bromley; Simon Capewell; Alastair H Leyland Journal: BMJ Open Date: 2011-08-09 Impact factor: 2.692
Authors: Joel William Hotchkiss; Carolyn Anne Davies; Linsay Gray; Catherine Bromley; Simon Capewell; Alastair Leyland Journal: BMJ Open Date: 2012-05-22 Impact factor: 2.692