Publication type
Journal Article
Authors
Publication date
October 15, 2014
Summary:
We document the extent of socio-economic status (SES) inequalities in bodily pain in Australia, Britain and Germany, with a particular focus on whether such inequalities widen over the life course. Random-effects logistic and kernel regressions are used to estimate odds ratios of experiencing severe pain by income, educational qualification and occupational status, and to graph age–pain profiles, while accounting for individual heterogeneity. Cohort level regression analysis is used to control for cohort effects. Low SES is consistently related to higher levels of bodily pain in each country and inequalities widen with increasing age. The odds of experiencing severe bodily pain for individuals in the lowest, relative to the highest, household income quartile is up to two times higher, whereas the odds for those with minimum relative to university education are up to three times higher. For each country, the odds of experiencing severe pain by machine operators are around three times higher than for professionals. Maximum levels, and maximum SES differences in pain, are both reached at around age 60 years, with the differentials ranging between 0.2 and 0.7 of sample standard deviations. No convergence of pain profiles is observed by age 70 years. Controlling for cohort effects in the Australian data confirms the results from the age group analysis. Taken together these results suggest that low SES and manual work have cumulative health effects over the life cycle.
Published in
Journal of the Royal Statistical Society Series A (Statistics in Society)
Volume and page numbers
Volume: 177 , p.783 -806
DOI
http://dx.doi.org/10.1111/rssa.12058
ISSN
9641998
Subjects
Notes
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