Literature DB >> 15310805

Social position and minor psychiatric morbidity over time in the British Household Panel Survey 1991-1998.

R D Wiggins1, P Schofield, A Sacker, J Head, M Bartley.   

Abstract

STUDY
OBJECTIVE: To examine social inequalities in minor psychiatric morbidity as measured by the GHQ-12 using lagged models of psychiatric morbidity and changing job status.
DESIGN: GHQ scores were modelled using two level hierarchical regression models with measurement occasions nested within individuals. The paper compares and contrasts three different ways of describing social position: income, social advantage and lifestyle (the Cambridge scale), and social class (the new National Statistics Socio-Economic Classification), and adjusts for attrition.
SETTING: Survey interviews for a nationally representative sample of adults of working age living in Britain. PARTICIPANTS: 8091 original adult respondents in 1991 who remain of working age during 1991-1998 from the British Household Panel Survey (BHPS). MAIN
RESULTS: There was a relation of GHQ-12 to social position when social position was combined with employment status. This relation itself varied according to a person's psychological health in the previous year.
CONCLUSIONS: The relation between social position and minor psychiatric morbidity depended on whether or not a person was employed, unemployed, or economically inactive. It was stronger in those with previously less good psychological health. Among employed men and women in good health, GHQ-12 varied little according to social class, status, or income. There was a "classic" social gradient in psychiatric morbidity, with worse health in less advantaged groups, among the economically inactive. Among the unemployed, a "reverse" gradient was found: the impact of unemployment on minor psychiatric morbidity was higher for those who were previously in a more advantaged social class position.

Entities:  

Mesh:

Year:  2004        PMID: 15310805      PMCID: PMC1732875          DOI: 10.1136/jech.2003.015958

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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