Literature DB >> 9119551

Socioeconomic inequalities in coronary heart disease and stroke mortality among Australian men, 1979-1993.

S Bennett1.   

Abstract

BACKGROUND: During the 1970s in Australia, mortality from coronary heart disease (CHD) and stroke was higher among lower socioeconomic groups and inequalities were widening. This analysis examines subsequent trends in socioeconomic inequalities, with reference to socioeconomic patterns in major cardiovascular risk factors.
METHODS: Socioeconomic status was defined by occupation. Age-standardized mortality rates were calculated for men aged 25-64, using death registration data and labour force estimates for 1979-1993. Risk factor data were taken from three cross-sectional population surveys conducted in 1980, 1983 and 1989.
RESULTS: Men in manual occupations were at least 35 percent more likely to die from CHD than men in professional occupations and 60 percent more likely to die from stroke. Their 5-year population risk of a coronary event was 30 percent higher. Since 1979, both groups experienced reductions in coronary risk and mortality.
CONCLUSIONS: Socioeconomic inequalities in CHD mortality continued to widen during the early 1980s, stabilized thereafter and persisted into the 1990s. Decreases in blood pressure and smoking prevalence contributed most to declines in coronary risk and to socioeconomic differentials.

Entities:  

Keywords:  Age Factors; Australia; Biology; Causes Of Death; Cerebrovascular Effects; Demographic Factors; Developed Countries; Differential Mortality; Diseases; Economic Factors; Heart Diseases; Human Resources; Inequalities; Mortality; Occupations; Oceania; Physiology; Population; Population Characteristics; Population Dynamics; Risk Factors; Socioeconomic Factors; Socioeconomic Status

Mesh:

Year:  1996        PMID: 9119551     DOI: 10.1093/ije/25.2.266

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  12 in total

Review 1.  Unequal to the task: deprivation, health and UK general practice at the millennium.

Authors:  N Beale
Journal:  Br J Gen Pract       Date:  2001-06       Impact factor: 5.386

2.  Socioeconomic variations in the course of stroke: unequal health outcomes, equal care?

Authors:  G A M van den Bos; J P J M Smits; G P Westert; A van Straten
Journal:  J Epidemiol Community Health       Date:  2002-12       Impact factor: 3.710

3.  Socioeconomic status and cardiovascular disease among men: the Korean national health service prospective cohort study.

Authors:  Yun-Mi Song; Robert L Ferrer; Sung-il Cho; Joohon Sung; Shah Ebrahim; George Davey Smith
Journal:  Am J Public Health       Date:  2006-01       Impact factor: 9.308

4.  Bypassing the selection rule in choosing controls for a case-control study.

Authors:  Keith T Palmer; Miranda Kim; David Coggon
Journal:  Occup Environ Med       Date:  2010-09-23       Impact factor: 4.402

Review 5.  Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individual-level socioeconomic position and all-cause mortality, 1998-2000.

Authors:  Gavin Turrell; Anne Kavanagh; Glenn Draper; S V Subramanian
Journal:  J Epidemiol Community Health       Date:  2007-01       Impact factor: 3.710

6.  Occupational Physical Activity and Cardiovascular Risk Factors Profile in the Adult Population of the Southern Cone of Latin America: Results From the CESCAS I Study.

Authors:  Rosana Poggio; Santiago Melendi; Laura Gutierrez; Natalia Elorriaga; Vilma Irazola
Journal:  J Occup Environ Med       Date:  2018-09       Impact factor: 2.162

7.  The contribution of risk factors to stroke differentials, by socioeconomic position in adulthood: the Renfrew/Paisley Study.

Authors:  C L Hart; D J Hole; G D Smith
Journal:  Am J Public Health       Date:  2000-11       Impact factor: 9.308

8.  Birth and adult residence in the Stroke Belt independently predict stroke mortality.

Authors:  M Maria Glymour; Anna Kosheleva; Bernadette Boden-Albala
Journal:  Neurology       Date:  2009-12-01       Impact factor: 9.910

9.  Neighborhood disparities in incident hospitalized myocardial infarction in four U.S. communities: the ARIC surveillance study.

Authors:  Kathryn M Rose; Chirayath M Suchindran; Randi E Foraker; Eric A Whitsel; Wayne D Rosamond; Gerardo Heiss; Joy L Wood
Journal:  Ann Epidemiol       Date:  2009-10-07       Impact factor: 3.797

10.  Socioeconomic status of very small areas and stroke incidence in the Netherlands.

Authors:  J Smits; G P Westert; G A M van den Bos
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.