Titre :
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Exploring the relation between class, gender, and self rated general health using the new socioeconomic classification. A study using data from the 2001 census. (2004)
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Auteurs :
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Frances DREVER ;
Tim DORAN ;
Margaret WHITEHEAD ;
University of Liverpool. Department of Public Health. Liverpool. GBR
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Type de document :
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Article
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Dans :
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Journal of epidemiology and community health (vol. 58, n° 7, 2004)
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Pagination :
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590-596
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Langues:
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Anglais
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Mots-clés :
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Sexe
;
Classe sociale
;
Classification
;
Facteur socioéconomique
;
Epidémiologie
;
Autoévaluation
;
Etat santé
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Résumé :
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[BDSP. Notice produite par INIST-CNRS NslR0xPA. Diffusion soumise à autorisation]. Objective : To examine the relation between class, gender, and self rated health in adults in Great Britain. Design : Cross sectional study using data from the 2001 national census. Setting : Great Britain. Participants : Adults aged between 25 and 64 in Great Britain, enumerated in the 2001 census (n=30.3 million). Main outcome measures : Age standardised rates of self rated general health for men and women in different socioeconomic groupings as defined by the National Statistics classification (NS-SeC), rate ratios and the (modified) relative index of inequality. Results : There was a pronounced gradient in rates of "not good" health among people in different social positions. The rate for people in class 7 (routine occupations) was more than double that for people in class 1 (higher managerial and professional occupations) : 95 per 1000 and 37 per 1000 respectively. Health inequalities were larger for men than for women-the rate ratio of class 7 to class 1 was 2.7 for men and 2.2 for women. The nature and size of the gender differences varied by socioeconomic class, with the greatest gap among people in class 1 (higher managerial and professional occupations), where the rate for women was 25% higher than for men. Conclusions : The NS-SeC shows a pronounced gradient in self rated general health across the population of working age in Great Britain in 2001. It was found that the NS-SeC was a useful measure for women, although it may be better at classifying men. The size of the gender gap in "not good" health varied by NS-SeC class.
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