Socioeconomic Inequalities in Coronary Heart Disease and Stroke Mortality among Australian Men, 1979–1993

Bennett, Samantha

doi:10.1093/ije/25.2.266

Cited by 79 publications

(54 citation statements)

References 25 publications

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“…In Australia, men in manual occupations were 60% more likely to die of stroke than men in professional occupations. 19 A study of elderly women that was conducted in Rotterdam showed that with socioeconomic status (SES) defined according to the occupation of the head of the household, professionals had a significantly lower risk of stroke than manual workers. 20 Adjustment for risk factors had a small effect.…”

Section: Discussionmentioning

confidence: 99%

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

Hart

Hole²,

Smith³

2000

Am J Public Health

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Objectives. This study investigated stroke differentials by socioeconomic position in adulthood.Methods. The relation of risk of stroke to deprivation category and social class was assessed among 6955 men and 7992 women who were aged 45 to 64 years and had been screened in 1972 to 1976.Results. A total of 594 men and 677 women had a hospital admission for stroke or died from stroke. There were large differences in stroke by deprivation category or social class. Adjustment for risk factors (smoking, blood pressure, height, respiratory function, body mass index, cholesterol, diabetes, and preexisting heart disease) attenuated these differences.Conclusions. Risk factors for stroke can explain some of the socioeconomic differences in stroke risk. Requests for reprints should be sent to Carole L. Hart, MA, Department of Public Health, University of Glasgow, 1 Lilybank Gardens, Glasgow, Scotland G12 8RZ (e-mail: c.l.hart@udcf.gla.ac.uk).This brief was accepted February 24, 2000.Stroke is a major cause of death, but understanding of stroke epidemiology is less complete than that for coronary heart disease. Although stroke mortality has declined in the West over the past 50 years, it has increased elsewhere, particularly in Eastern Europe.1 In Scotland in 1997, 11% of deaths in men and 15% of deaths in women 65 years and older were caused by stroke.2 Stroke morbidity is a leading cause of disability, so reducing the burden of stroke has implications for quality of life as well as health service planning. 3 Socioeconomic differences in stroke risk have been seen in many countries, 4 but it is not clear whether risk factors can account for these differences. Most previous prospective epidemiologic studies of stroke have been confined to men, so there is greater uncertainty regarding the epidemiology of stroke in women. We present an analysis of stroke risk by 2 measures of socioeconomic position in a large representative prospective cohort study conducted in the west of Scotland. The study included both men and women and assessed a large number of risk factors for stroke. Participants were followed up for stroke deaths and hospital admissions for stroke over a 20-year period. MethodsThe Renfrew/Paisley general population study was carried out between 1972 and 1976 in the towns of Renfrew and Paisley in Scotland. Eligibility was established through a doorto-door census of all households in the 2 towns. Men and women aged 45 to 64 years were invited to participate. A response rate of nearly 80% was achieved, and 7052 men and 8354 women took part. Details have been reported previously. [5][6][7][8]

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Section: Discussionmentioning

confidence: 99%

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

Hart

Hole²,

Smith³

2000

Am J Public Health

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“…The resulting poorer dietary profile of those of low socioeconomic position (SEP) may contribute to their higher rates of morbidity and mortality for many health conditions, including type 2 diabetes (4,5) , heart disease (6)(7)(8) , obesity (9)(10)(11) and stroke (6,12) .…”

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confidence: 99%

The contribution of three components of nutrition knowledge to socio-economic differences in food purchasing choices

McKinnon

Giskes

Turrell

2013

Public Health Nutr.

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Objectives: To assess socio-economic differences in three components of nutrition knowledge, i.e. knowledge of (i) the relationship between diet and disease, (ii) the nutrient content of foods and (iii) dietary guideline recommendations; furthermore, to determine if socio-economic differences in nutrition knowledge contribute to inequalities in food purchasing choices. Design: The cross-sectional study considered household food purchasing, nutrition knowledge, socio-economic and demographic information. Household food purchasing choices were summarised by three indices, based on self-reported purchasing of sixteen groceries, nineteen fruits and twenty-one vegetables. Socio-economic position (SEP) was measured by household income and education. Associations between SEP, nutrition knowledge and food purchasing were examined using general linear models adjusted for age, gender, household type and household size. Setting: Brisbane, Australia in 2000. Subjects: Main household food shoppers (n 1003, response rate 66?4 %), located in fifty small areas (Census Collectors Districts). Results: Shoppers in households of low SEP made food purchasing choices that were less consistent with dietary guideline recommendations: they were more likely to purchase grocery foods comparatively higher in salt, sugar and fat, and lower in fibre, and they purchased a narrower range of fruits and vegetables. Those of higher SEP had greater nutrition knowledge and this factor attenuated most associations between SEP and food purchasing choices. Among nutrition knowledge factors, knowledge of the relationship between diet and disease made the greatest and most consistent contribution to explaining socio-economic differences in food purchasing. Conclusions: Addressing inequalities in nutrition knowledge is likely to reduce socio-economic differences in compliance with dietary guidelines. Improving knowledge of the relationship between diet and disease appears to be a particularly relevant focus for health promotion aimed to reduce socio-economic differences in diet and related health inequalities.

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“…Recent research suggests that exposure to risk factors operate throughout the life span to influence stroke risk. [5][6][7][8] Of the many explanations for the Stroke Belt examined to date, none provide adequate explanations for geographic differences. 1 Part of the puzzle arises because most studies define Stroke Belt exposure on the basis of state of residence at the time of stroke onset and have not incorporated information on place of residence earlier in life.…”

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confidence: 99%

Is the ‘Stroke Belt’ Worn From Childhood?

Glymour¹,

Avendaño²,

Berkman³

2007

Stroke

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Socioeconomic Inequalities in Coronary Heart Disease and Stroke Mortality among Australian Men, 1979–1993

Abstract: 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.

Cited by 79 publications

References 25 publications

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

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

The contribution of three components of nutrition knowledge to socio-economic differences in food purchasing choices

Is the ‘Stroke Belt’ Worn From Childhood?

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