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Research Paper

Inequity in disability pension: an intersectional analysis of the co-constitution of gender, education and age. The Hordaland Health Study

, , , , , , , & show all
Pages 302-313 | Received 30 Jun 2017, Accepted 21 Apr 2018, Published online: 07 May 2018
 

Abstract

Social position, education, gender and increasing age are all identified as important risk factors for disability pension. This study takes an intersectionality approach and examines their co-constitution, in relation to inequity in disability pension. The population included 22,203 middle-aged men and women participating in the community-based Hordaland Health Study, Western Norway (1997–1999). The participants were categorised in four exposure groups: higher educated men, higher educated women, lower educated men and lower educated women. The outcome was disability pension from 1992 to end of 2007, from a national registry. Using recommendations for intersectionality-informed quantitative research, we estimated the main effects of gender and educational attainment on disability pension, and potential statistical multiplicative interactions between gender and education in relation to cause-specific and all-cause disability pension. For all-cause disability pension, men with higher education had the lowest risk for disability pension (rate per 1000 person-years: 2.01) during the course of working life (from age 35 to 57), followed by higher educated women (rate 3.56), and lower educated men (rate 4.59). Finally, women with lower education had a substantially increased risk already in early middle age (rate 8.39). We found a statistical multiplicative effect of lower education and female gender on all-cause disability pension and disability pension with musculoskeletal disorders compared with men with higher education. The discussion highlights that inequity in disability pension is not only about defining vulnerable groups, but also about understanding how privileges and disadvantages are unequally distributed.

Acknowledgements

We wish to thank The Norwegian Research Council that funded the research project ‘Predictors and mechanisms for gender differences in sickness absence and disability retirement’ from which this paper is a result of.

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