Literature DB >> 12343335

Inequalities in women's health in England and Wales: mortality among married women according to social circumstances, employment characteristics and life-cycle stage.

K A Moser, H S Pugh, P O Goldblatt.   

Abstract

"Data obtained from follow-up of the Office of Population Censuses and Surveys Longitudinal Study 1971 Census sample have been used to look at women's mortality differentials at ages 15-59 in England and Wales....In this paper we focus on married women and use age of youngest child as a measure of life-cycle stage. We relate this to whether the woman was a housewife, or was in full or part-time paid employment, so as to examine how these affect differences in mortality by social class. We find that socio-economic mortality differences persist irrespective of life-cycle stage.... Housewives married to men in manual occupations experienced death rates over one and a half times as high as those married to men in non-manual occupations. For women in employment the differences by husbands' social class are of a lesser magnitude.... Differences in the mortality of those in full and part-time work depend on the woman's own social class and are greater for non-manual than manual classes." (SUMMARY IN FRE AND ITA) excerpt

Entities:  

Keywords:  Comparative Studies; Currently Married--women; Demographic Factors; Developed Countries; Differential Mortality; Economic Factors; Employment--women; England; Europe; Family And Household; Family Research; Health; Life Cycle--women; Macroeconomic Factors; Marital Status; Mortality; Northern Europe; Nuptiality; Population; Population Dynamics; Research Methodology; Social Class; Socioeconomic Factors; Socioeconomic Status--women; Studies; United Kingdom; Wales; Women's Status

Mesh:

Year:  1990        PMID: 12343335

Source DB:  PubMed          Journal:  Genus        ISSN: 0016-6987


  1 in total

1.  Life course social roles and women's health in mid-life: causation or selection?

Authors:  Anne McMunn; Mel Bartley; Rebecca Hardy; Diana Kuh
Journal:  J Epidemiol Community Health       Date:  2006-06       Impact factor: 3.710

  1 in total

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