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Social class differences in mortality using the new UK National Statistics Socio-Economic Classification
1Nuffield College, Oxford, UK. tarani.chandola@socstud.ox.ac.uk
Social Science & Medicine (1982)
|February 5, 2000
Summary
The new UK National Statistics Socio-Economic Classification (NS-SEC) did not significantly predict mortality. However, other socio-economic status (SES) measures like income and housing tenure showed clear health inequalities.
Area of Science:
- Public Health
- Sociology
- Epidemiology
Background:
- Social class differences in UK health are traditionally measured using the Registrar General's Social Classification (RGSC).
- The RGSC is being superseded by the UK National Statistics Socio-Economic Classification (NS-SEC), which focuses on employment relations and conditions.
- The precise mechanisms driving social class disparities in health remain under investigation, with some research suggesting work characteristics play a role.
Purpose of the Study:
- To investigate the association between the NS-SEC and mortality outcomes.
- To compare the predictive power of NS-SEC with other socio-economic status (SES) measures for mortality.
- To examine social inequalities in health and mortality within the British population.
Main Methods:
- Utilized a 7-year panel study (British Household Panel Survey, n = 10264) representative of British private households.
- Assessed the association of the NS-SEC with mortality across all ages and a subsample under 65.
- Analyzed other SES indicators, including income and housing tenure, in relation to mortality.
Main Results:
- The NS-SEC showed no significant association with mortality for the overall sample or for individuals under 65.
- Significant patterns of mortality inequalities were observed with other SES measures, particularly income and housing tenure.
- Income and housing tenure emerged as stronger predictors of mortality inequalities than NS-SEC in this study.
Conclusions:
- The NS-SEC alone may not fully capture the complexities of social inequalities in health and mortality.
- Incorporating additional SES measures, such as income and housing tenure, alongside NS-SEC is recommended for comprehensive analysis.
- Further research is needed to understand the interplay between different SES indicators and health outcomes.