1. Socioeconomic disparities associated with 29 common infectious diseases in Sweden, 2005–14: an individually matched case-control study
- Author
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Kostas Danis, Anders Tegnell, Ilias Galanis, Alessandro Pini, Magnus Stenbeck, Anders Wallensten, and Henrik Källberg
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Population ,Communicable Diseases ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Health care ,Odds Ratio ,Humans ,Medicine ,030212 general & internal medicine ,Healthcare Disparities ,education ,Socioeconomic status ,Aged ,Sweden ,0303 health sciences ,education.field_of_study ,030306 microbiology ,business.industry ,Public health ,Odds ratio ,Middle Aged ,Place of birth ,Educational attainment ,Logistic Models ,Infectious Diseases ,Socioeconomic Factors ,Unemployment ,Case-Control Studies ,Income ,Female ,Residence ,business ,Demography - Abstract
Summary Background Although the association between low socioeconomic status and non-communicable diseases is well established, the effect of socioeconomic factors on many infectious diseases is less clear, particularly in high-income countries. We examined the associations between socioeconomic characteristics and 29 infections in Sweden. Methods We did an individually matched case-control study in Sweden. We defined a case as a person aged 18–65 years who was notified with one of 29 infections between 2005 and 2014, in Sweden. Cases were individually matched with respect to sex, age, and county of residence with five randomly selected controls. We extracted the data on the 29 infectious diseases from the electronic national register of notified infections and infectious diseases (SmiNet). We extracted information on country of birth, educational and employment status, and income of cases and controls from Statistics Sweden's population registers. We calculated adjusted matched odds ratios (amOR) using conditional logistic regression to examine the association between infections or groups of infections and place of birth, education, employment, and income. Findings We included 173 729 cases notified between Jan 1, 2005, and Dec 31, 2014 and 868 645 controls. Patients with invasive bacterial diseases, blood-borne infectious diseases, tuberculosis, and antibiotic-resistant infections were more likely to be unemployed (amOR 1·59, 95% CI 1·49–1·70; amOR 3·62, 3·48–3·76; amOR 1·88, 1·65–2·14; and amOR 1·73, 1·67–1·79, respectively), to have a lower educational attainment (amOR 1·24, 1·15–1·34; amOR 3·63, 3·45–3·81; amOR 2·14, 1·85–2·47; and amOR 1·07, 1·03–1·12, respectively), and to have a lowest income (amOR 1·52, 1·39–1·66; amOR 3·64, 3·41–3·89; amOR 3·17, 2·49–4·04; and amOR 1·2, 1·14–1·25, respectively). By contrast, patients with food-borne and water-borne infections were less likely than controls to be unemployed (amOR 0·74, 95% CI 0·72–0·76), to have lower education (amOR 0·75, 0·73–0·77), and lowest income (amOR 0·59, 0·58–0·61). Interpretation These findings indicate persistent socioeconomic inequalities in infectious diseases in an egalitarian high-income country with universal health care. We recommend using these findings to identify priority interventions and as a baseline to monitor programmes addressing socioeconomic inequalities in health. Funding The Public Health Agency of Sweden.
- Published
- 2019
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