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Social class differences in mortality using the new UK National Statistics Socio-Economic Classification

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  • Chandola, Tarani

Abstract

Social class differences in health in the UK have usually been demonstrated by the Registrar General's social classification (RGSC). It is being replaced by the new UK National Statistics Socio-Economic Classification (NS-SEC). The NS-SEC is explicitly based on differences between employment relations and conditions. The mechanisms underlying social class differences in health remain debatable. Some studies have hypothesised that class differences in work characteristics and employment conditions may explain part of the observed class differences in health. This study investigates the associations of the NS-SEC and other measures of socio-economic status (SES) with mortality outcomes in a 7-year panel study representative of British private households and their members (the British Household Panel Survey, n=10264). The NS-SEC was neither significantly associated with mortality for respondents of all ages nor with mortality for a younger subsample who were under 65 years at the initial survey. Other measures of SES, especially income and housing tenure showed significant patterns of inequalities in mortality. It may be useful to use other measures of SES along with the NS-SEC when analysing social inequalities in health and mortality.

Suggested Citation

  • Chandola, Tarani, 2000. "Social class differences in mortality using the new UK National Statistics Socio-Economic Classification," Social Science & Medicine, Elsevier, vol. 50(5), pages 641-649, March.
    • Handle: RePEc:eee:socmed:v:50:y:2000:i:5:p:641-649
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    Cited by:

    1. Monica Raileanu Szeles, 2016. "Assessing the Effect of Economic Growth on Well-Being in the Eu-27. A Pareto-Optimum Approach," Working Papers of Institute for Economic Forecasting 161002, Institute for Economic Forecasting.
    2. Angelo d’Errico & Fulvio Ricceri & Silvia Stringhini & Cristian Carmeli & Mika Kivimaki & Mel Bartley & Cathal McCrory & Murielle Bochud & Peter Vollenweider & Rosario Tumino & Marcel Goldberg & Marie, 2017. "Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-32, May.
    3. Gita Mishra & Kylie Ball & Annette Dobson & Julie Byles & Penny Warner-Smith, 2001. "The Measurement of Socio-Economic Status: Investigation of Gender-and Age-Specific Indicators in Australia: National Health Survey 1995," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 56(1), pages 73-89, October.
    4. 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.
    5. John Sessions & Ge Yu & Martin Wall, 2011. "Social Capital and Health: A Longitudinal Analysis from the British Household Panel Survey," Department of Economics Working Papers 6/11, University of Bath, Department of Economics.
    6. 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.
    7. Kahouli, Sondès, 2020. "An economic approach to the study of the relationship between housing hazards and health: The case of residential fuel poverty in France," Energy Economics, Elsevier, vol. 85(C).
    8. Joan Costa-Font, 2013. "Housing-related Well-being in Older People: The Impact of Environmental and Financial Influences," Urban Studies, Urban Studies Journal Limited, vol. 50(4), pages 657-673, March.
    9. Maheswaran, Hendramoorthy & Kupek, Emil & Petrou, Stavros, 2015. "Self-reported health and socio-economic inequalities in England, 1996–2009: Repeated national cross-sectional study," Social Science & Medicine, Elsevier, vol. 136, pages 135-146.
    10. Monica Răileanu Szeles, 2018. "Comparative Examination of Self-Perceived Health and Other Measures of the Quality of Life Across the EU-27," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 391-411, May.
    11. Jane Fielding, 2007. "Environmental Injustice or Just the Lie of the Land: An Investigation of the Socio-Economic Class of those at Risk from Flooding in England and Wales," Sociological Research Online, , vol. 12(4), pages 12-34, August.
    12. Yu, Ge & Sessions, John G. & Fu, Yu & Wall, Martin, 2015. "A multilevel cross-lagged structural equation analysis for reciprocal relationship between social capital and health," Social Science & Medicine, Elsevier, vol. 142(C), pages 1-8.
    13. Hiyoshi, Ayako & Fukuda, Yoshiharu & Shipley, Martin J. & Brunner, Eric J., 2014. "Health inequalities in Japan: The role of material, psychosocial, social relational and behavioural factors," Social Science & Medicine, Elsevier, vol. 104(C), pages 201-209.
    14. Vanhoutte, Bram, 2019. "Age takes hold of us by surprise: Conceptualising Vulnerabilities in Ageing as the Timing of Adverse Events - Pre-print," SocArXiv xqjwv, Center for Open Science.
    15. Hermione C. Price & Philip M. Clarke & Alastair M. Gray & Rury R. Holman, 2010. "Life Expectancy in Individuals With Type 2 Diabetes: Implications for Annuities," Medical Decision Making, , vol. 30(3), pages 409-414, May.
    16. Ariadna Jou & Nuria Mas & Carles Vergara-Alert, 2023. "Housing Wealth, Health and Deaths of Despair," The Journal of Real Estate Finance and Economics, Springer, vol. 66(3), pages 569-602, April.

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