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Mortality differences and inequalities within and between 'protected characteristics' groups, in a Scottish Cohort
A D Millard1, G Raab2, J Lewsey3
1NHS Health Scotland, Meridian Court, 5, Cadogan Street, Glasgow, G2 6QE, UK. Andrewmillard@nhs.net.
International Journal for Equity in Health
|November 27, 2015
Summary
Mortality in Scotland varies by socio-economic status and protected characteristics. Understanding these interactions is key to reducing health inequalities and targeting health improvements effectively.
Area of Science:
- Public Health
- Epidemiology
- Social Determinants of Health
Background:
- Limited understanding of socio-economic status interactions with protected characteristics in Scotland.
- Need to identify population groups for targeted health inequality reduction.
- Study focuses on social class and deprivation as moderators of mortality differences.
Purpose of the Study:
- Examine mortality differences moderated by social class and deprivation.
- Identify specific population groups for health improvement priority.
- Inform public health strategies beyond solely focusing on the most deprived.
Main Methods:
- Utilized the Scottish Longitudinal Study (1991, 2001, 2011 censuses).
- Estimated mortality hazard ratios using Cox proportional hazards models.
- Calculated European age-standardised mortality rates and Relative Index of Inequality (RII).
Main Results:
- Asian population showed polarized distribution across deprivation deciles.
- Disabled individuals and those raised Roman Catholic were more likely to be deprived.
- Males and disabled individuals had higher mortality; Asians and females generally had lower mortality.
- Mortality inequalities were greater in non-disabled, majority population, and young adult females.
Conclusions:
- Mortality patterns identified across various protected characteristics and socio-economic factors.
- Relative inequalities in mortality differed across groups, notably lower in disabled and majority populations.
- Emphasizes the importance of intersectionality in health inequality research.
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