Literature DB >> 9680236

Social inequality in coronary heart disease: a comparison of occupational classifications.

T Chandola1.   

Abstract

The British Registrar General's Social Classification has been strongly criticised for its lack of explanatory value. Furthermore, studies of social inequality in coronary heart disease (CHD) outcomes have often found associations between measures of inequality and heart disease unaccounted by conventional CHD risk factors. Alternative occupational classifications such as the Erikson-Goldthorpe schema and the Cambridge scale could be used to explore potential causal narratives which explain such residual associations. Results from a longitudinal study of adults in Britain show that the Cambridge scale has the strongest association with CHD and part of its strength is due to its strong association with CHD related health behaviours. Women classified by their partner's occupation had stronger associations with CHD compared to classifications by their own occupation. Job strain may not account for the observed social inequalities in CHD. The Cambridge scale shows stronger patterns of linear association with CHD than the RGSC and should be included in other studies of social inequality in health in the U.K.

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Year:  1998        PMID: 9680236     DOI: 10.1016/s0277-9536(98)00141-5

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  16 in total

1.  Occupational social class and mortality in a population of men economically active: the contribution of education and employment situation.

Authors:  Enrique Regidor; Elena Ronda; David Martínez; M Elisa Calle; Pedro Navarro; Vicente Domínguez
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

Review 2.  Social determinants of health: a veil that hides socioeconomic position and its relation with health.

Authors:  Enrique Regidor
Journal:  J Epidemiol Community Health       Date:  2006-10       Impact factor: 3.710

3.  Neighbourhood socioeconomic status and biological 'wear and tear' in a nationally representative sample of US adults.

Authors:  Chloe E Bird; Teresa Seeman; José J Escarce; Ricardo Basurto-Dávila; Brian K Finch; Tamara Dubowitz; Melonie Heron; Lauren Hale; Sharon Stein Merkin; Margaret Weden; Nicole Lurie
Journal:  J Epidemiol Community Health       Date:  2009-09-16       Impact factor: 3.710

4.  Sex differences in cardiovascular disease: are women with low socioeconomic status at high risk?

Authors:  E A Vogels; A L Lagro-Janssen; C van Weel
Journal:  Br J Gen Pract       Date:  1999-12       Impact factor: 5.386

5.  Health inequalities in women and men.

Authors:  D Vâgerö
Journal:  BMJ       Date:  2000-05-13

6.  Comparing individual-based and household-based measures of social class to assess class inequalities in women's health: a methodological study of 684 US women.

Authors:  N Krieger; J T Chen; J V Selby
Journal:  J Epidemiol Community Health       Date:  1999-10       Impact factor: 3.710

7.  Comparing health inequality in men and women: prospective study of mortality 1986-96.

Authors:  A Sacker; D Firth; R Fitzpatrick; K Lynch; M Bartley
Journal:  BMJ       Date:  2000-05-13

8.  Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands.

Authors:  P Putrik; S Ramiro; A M Chorus; A P Keszei; A Boonen
Journal:  Clin Rheumatol       Date:  2018-06-12       Impact factor: 2.980

9.  Occupational prestige trajectory and the risk of lung and head and neck cancer among men and women in France.

Authors:  Gwenn Menvielle; Julien Dugas; Jeanna-Eve Franck; Matthieu Carton; Brigitte Trétarre; Isabelle Stücker; Danièle Luce
Journal:  Int J Public Health       Date:  2017-12-09       Impact factor: 3.380

10.  Social inequalities in health by individual and household measures of social position in a cohort of healthy people.

Authors:  T Chandola; M Bartley; R Wiggins; P Schofield
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

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