Geographical inequalities in health in a time of austerity: Baseline findings from the Stockton-on-Tees cohort study

Stockton-on-Tees has the highest geographical inequalities in health in England with the life expectancy at birth gap between the most and deprived neighbourhoods standing at over 17 years for men and 11 years for women. In this study, we provide the first detailed empirical examination of this geog...

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Bibliographic Details
Published in:	Health & place 2017-11, Vol.48, p.111-122
Main Authors:	Bhandari, R., Kasim, A., Warren, J., Akhter, N., Bambra, C.
Format:	Article
Language:	eng
Subjects:	Adult Aged Bootstrap method Childbirth & labor Cohort analysis Confidence intervals Data processing Deprived areas Empirical analysis England Female Geography Geography, Medical Health Health disparities Health inequality Health status Health Status Disparities Humans Individual differences Inequalities Life expectancy Life Expectancy - trends Life span Male Models, Statistical Multilevel models Neighborhoods Prospective Studies Psychosocial factors Random number sampling Random sampling Recessions Statistical analysis Survey Surveys and Questionnaires United Kingdom Welfare Young Adult
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Summary:	Stockton-on-Tees has the highest geographical inequalities in health in England with the life expectancy at birth gap between the most and deprived neighbourhoods standing at over 17 years for men and 11 years for women. In this study, we provide the first detailed empirical examination of this geographical health divide by: estimating the gap in physical and general health (as measured by EQ. 5D, EQ. 5D-VAS and SF8PCS) between the most and least deprived areas; using a novel statistical technique to examining the causal role of compositional and contextual factors and their interaction; and doing so in a time of economic recession and austerity. Using a stratified random sampling technique, individual-level survey data was combined with secondary data sources and analysed using multi-level models with 95% confidence intervals obtained from nonparametric bootstrapping. The main findings indicate that there is a significant gap in health between the two areas, and that compositional level material factors, contextual factors and their interaction appear to be the major explanations of this gap. Contrary to the dominant policy discourse in this area, individual behavioural and psychosocial factors did not make a significant contribution towards explaining health inequalities in the study area. The findings are discussed in relation to geographical theories of health inequalities and the context of austerity. •The paper provides a detailed empirical examination of the geographical health divide in physical and general health.•A novel statistical technique examines the role of compositional and contextual factors on EQ5D, EQ5D-VAS and SF8PCS.•The main findings indicate a significant gap in health between the most and least deprived areas of Stockton-on-Tees.•The compositional level material factors, contextual factors and their interaction make the major explanations of the gap.•The empirical evidence asserts that composition and context should be looked at from a relational perspective.
ISSN:	1353-8292 1873-2054