Intersectional inequalities in paediatric infectious diseases: a national cohort study in Sweden

Abstract

Background It is well known that socially deprived children are more likely to be hospitalised for infections. Less is known about how different social disadvantages interact. Therefore, we examine intersectional inequalities in overall, upper respiratory, lower respiratory, enteric and genitourinary infections in the first 5 years of life. Methods We conducted a population-based retrospective cohort study of Swedish children born between 1998 and 2015. Inequalities were examined using analysis of individual heterogeneity and discriminatory accuracy as the analytical framework. A variable with 60 intersectional strata was created by combining information on maternal education, household income, sex/gender and maternal migration status. We estimated the incidence rates of infectious disease hospitalisation for each intersectional strata and the associations between intersectional strata and infectious disease hospitalisations using logistic regression models. We furthermore quantified the discriminatory ability of the intersectional strata with respect to infectious disease hospitalisation. Results The study included 1785 588 children and 318 080 hospital admissions. The highest overall incidence of hospitalisations for infections was found in boys born to low-educated mothers who lived in families with the lowest household income. The overall incidence of infections was unrelated to household income in children born to highly educated mothers. The ability of the intersectional strata to discriminate between children with and without infections was poor. Conclusion We found that inequalities in paediatric infectious diseases were shaped by the intersections of different social disadvantages. These inequalities should be addressed by public health policies that reach all children. Data may be obtained from a third party and are not publicly available. We used pseudo-anonymised register data obtained from third parties. It includes sensitive information and some access restrictions may apply. Interested researchers need to obtain data directly from the National Board of Health and Welfare in Sweden (socialstyrelsen@socialstyrelsen.se) and from Statistics Sweden (scb@scb.se).