Literature DB >> 9222778

Socioeconomic status within social class and mortality: a prospective study in middle-aged British men.

S G Wannamethee1, A G Shaper.   

Abstract

OBJECTIVE: It has been suggested that mortality differences between groups in society may be greater than are indicated by social class based on occupation. We have examined the relationship between social class and mortality using home and car ownership as additional indices of socioeconomic status within social class.
DESIGN: A prospective study of a cohort of men representative of the social class distribution of middle-aged men in Great Britain.
SETTING: One general practice in each of 24 towns in England, Wales and Scotland.
SUBJECTS: Five years after the initial screening of 7735 men aged 40-59 years, 7262 men (94% of the original cohort) provided information on housing tenure and car ownership by completing a postal questionnaire. MAIN OUTCOME MEASURE: Deaths from all causes, cardiovascular, cancer and other non-cardiovascular causes during an average follow-up of 9.8 years (range 8.5-11.0 years) after the postal questionnaire.
RESULTS: During the follow-up period there were 946 deaths from all causes among the 7262 men. The lowest mortality rates for all causes, cardiovascular, cancer and other non-cardiovascular causes were seen in non-manual social classes I and II. Manual social classes III and IV+V showed a significant 40% increase in risk of death compared to social classes I+II, even after adjustment for a wide range of risk factors (relative risk [RR] = 1.4, 95% confidence interval [CI]: 1.2-1.7 and RR = 1.4, 95% CI: 1.1-1.7 respectively). Within all social class groups, those owning both home and car showed lower rates than those who owned neither, even after adjustment for a wide range of risk factors and employment status. Compared with social classes I+II owning both home and car, all those not owning home and/or car, in each social group, showed a significant approximately twofold increase in risk of death. Adjusted RR for non-manual I+II = 2.1 (95% CI: 1.5-2.9), non-manual III RR = 2.0 (95% CI: 1.3-2.9), manual III RR = 1.8 (95% CI: 1.4-2.4) and manual IV+V RR = 1.8 (95% CI: 1.3-2.5). Similar relationships were seen in all major geographical regions of Great Britain.
CONCLUSION: Mortality differences within society are greater than indicated by social class based on occupation alone. Irrespective of social class, men with greater material assets have lower rates of mortality from all causes than men less well endowed, independent of a wide range of lifestyle and biological factors. These findings suggest that mortality differences within our society are closely related to relative wealth.

Entities:  

Keywords:  Causes Of Death; Demographic Factors; Developed Countries; Differential Mortality; Economic Factors; Europe; Geographic Factors; Housing; Human Resources; Mortality; Northern Europe; Occupations; Ownership; Population; Population Dynamics; Prospective Studies; Research Methodology; Residence Characteristics; Social Class; Socioeconomic Factors; Socioeconomic Status; Spatial Distribution; Studies; United Kingdom

Mesh:

Year:  1997        PMID: 9222778     DOI: 10.1093/ije/26.3.532

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


  13 in total

1.  Unemployment, depression, and health: a look at the African-American community.

Authors:  E Rodriguez; J A Allen; E A Frongillo; P Chandra
Journal:  J Epidemiol Community Health       Date:  1999-06       Impact factor: 3.710

2.  Geographic variation in incidence of coronary heart disease in Britain: the contribution of established risk factors.

Authors:  R W Morris; P H Whincup; F C Lampe; M Walker; S G Wannamethee; A G Shaper
Journal:  Heart       Date:  2001-09       Impact factor: 5.994

Review 3.  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

4.  Socioeconomic position and self-rated health: the contribution of childhood socioeconomic circumstances, adult socioeconomic status, and material resources.

Authors:  Mikko Laaksonen; Ossi Rahkonen; Pekka Martikainen; Eero Lahelma
Journal:  Am J Public Health       Date:  2005-07-07       Impact factor: 9.308

5.  The association of lifetime education with the prevalence of myocardial infarction: an analysis of the 2006 Behavioral Risk Factor Surveillance System.

Authors:  Michael J Kelly; Sherry Weitzen
Journal:  J Community Health       Date:  2010-02

6.  Excess mortality from avoidable and non-avoidable causes in men of low socioeconomic status: a prospective study in Korea.

Authors:  Y M Song; J J Byeon
Journal:  J Epidemiol Community Health       Date:  2000-03       Impact factor: 3.710

7.  Inequalities in morbidity and consulting behaviour for socially vulnerable groups.

Authors:  Deborah Baker; Nicola Mead; Stephen Campbell
Journal:  Br J Gen Pract       Date:  2002-02       Impact factor: 5.386

8.  Inequality in infant morbidity: causes and consequences in England in the 1990s. ALSPAC Study Team. Avon Longitudinal Study of Pregnancy and Childhood.

Authors:  D Baker; H Taylor; J Henderson
Journal:  J Epidemiol Community Health       Date:  1998-07       Impact factor: 3.710

9.  Extent of social inequalities in disability in the elderly: results from a population-based study of British men.

Authors:  Sheena E Ramsay; Peter H Whincup; Richard W Morris; Lucy T Lennon; S G Wannamethee
Journal:  Ann Epidemiol       Date:  2008-12       Impact factor: 3.797

10.  Are childhood socio-economic circumstances related to coronary heart disease risk? Findings from a population-based study of older men.

Authors:  Sheena E Ramsay; Peter H Whincup; Richard W Morris; Lucy T Lennon; S G Wannamethee
Journal:  Int J Epidemiol       Date:  2007-04-17       Impact factor: 7.196

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.