IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v47y1998i4p525-533.html
   My bibliography  Save this article

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

Author

Listed:
  • Chandola, Tarani

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.

Suggested Citation

  • Chandola, Tarani, 1998. "Social inequality in coronary heart disease: a comparison of occupational classifications," Social Science & Medicine, Elsevier, vol. 47(4), pages 525-533, August.
    • Handle: RePEc:eee:socmed:v:47:y:1998:i:4:p:525-533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(98)00141-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Murasko, Jason E., 2008. "Male-female differences in the association between socioeconomic status and atherosclerotic risk in adolescents," Social Science & Medicine, Elsevier, vol. 67(11), pages 1889-1897, December.
    2. Sekine, Michikazu & Chandola, Tarani & Martikainen, Pekka & Marmot, Michael & Kagamimori, Sadanobu, 2006. "Socioeconomic inequalities in physical and mental functioning of Japanese civil servants: Explanations from work and family characteristics," Social Science & Medicine, Elsevier, vol. 63(2), pages 430-445, July.
    3. Muntaner, Carles & Borrell, Carme & Vanroelen, Christophe & Chung, Haejoo & Benach, Joan & Kim, Il Ho & Ng, Edwin, 2010. "Employment relations, social class and health: A review and analysis of conceptual and measurement alternatives," Social Science & Medicine, Elsevier, vol. 71(12), pages 2130-2140, December.
    4. Torssander, Jenny & Erikson, Robert, 2008. "Stratification and Mortality - A Comparison of Education, Class, Status and Income," Working Paper Series 5/2008, Stockholm University, Swedish Institute for Social Research.
    5. Lahelma, Eero & Laaksonen, Mikko & Martikainen, Pekka & Rahkonen, Ossi & Sarlio-Lähteenkorva, Sirpa, 2006. "Multiple measures of socioeconomic circumstances and common mental disorders," Social Science & Medicine, Elsevier, vol. 63(5), pages 1383-1399, September.
    6. Gwenn Menvielle & Julien Dugas & Jeanna-eve Franck & Matthieu Carton & Brigitte Trétarre & Isabelle Stücker & Danièle Luce, 2018. "Occupational prestige trajectory and the risk of lung and head and neck cancer among men and women in France," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(7), pages 833-845, September.
    7. Richard Layte, 2000. "Explaining Material Inequalities in Health: The Importance of Theoretically Based Measures," Papers WP124, Economic and Social Research Institute (ESRI).
    8. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    9. Tarani Chandola & Paul Clarke & J. N. Morris & David Blane, 2006. "Pathways between education and health: a causal modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 337-359, March.
    10. Skalická, Vera & Kunst, Anton E., 2008. "Effects of spouses' socioeconomic characteristics on mortality among men and women in a Norwegian longitudinal study," Social Science & Medicine, Elsevier, vol. 66(9), pages 2035-2047, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:47:y:1998:i:4:p:525-533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.