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Mortality, lifestyle and socio-economic status
1Dipartimento di Ricerche Economiche e Sociali, Universitá di Cagliari, viale S Ignazio, Cagliari, Italy. silvia.balia@unica.it
Journal of Health Economics
|April 24, 2007
Summary
Lifestyle choices significantly drive premature mortality and health inequalities in Great Britain. This research challenges the epidemiological view that lifestyle factors play a minor role in socio-economic health disparities.
Area of Science:
- Social Epidemiology
- Health Economics
- Biostatistics
Background:
- Socio-economic status (SES) is linked to health outcomes, but the precise role of lifestyle factors in this relationship is debated.
- Existing epidemiological models often underestimate the contribution of lifestyle choices to health inequalities.
Purpose of the Study:
- To investigate the determinants of premature mortality in Great Britain.
- To quantify the contribution of lifestyle choices to socio-economic inequality in mortality.
- To challenge prevailing epidemiological views on lifestyle's role in health gradients.
Main Methods:
- Utilized the British Health and Lifestyle Survey (1984-1985) with longitudinal follow-up (2003).
- Employed a behavioral model and a maximum simulated likelihood (MSL) approach for a multivariate probit (MVP) model.
- Applied Gini coefficient and decomposition techniques to analyze health inequality.
Main Results:
- Lifestyle choices were found to be strong contributors to mortality inequality, even after accounting for endogeneity.
- The direct role of socio-economic status in mortality inequality was reduced when lifestyle factors were considered.
- Findings contradict the common epidemiological assumption of a minor lifestyle contribution to socio-economic health gradients.
Conclusions:
- Lifestyle choices are a primary driver of premature mortality and socio-economic health inequalities in Great Britain.
- Policy interventions targeting lifestyle behaviors could significantly reduce health disparities.
- This study highlights the critical need to incorporate detailed lifestyle data into health inequality research.
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