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Labour market marginalisation in young adults diagnosed with attention-deficit hyperactivity disorder (ADHD) : a population-based longitudinal cohort study in Sweden
- Publication Year :
- 2023
-
Abstract
- Background The objective of this population-based register study was (1) to investigate the association between young adults diagnosed with attention-deficit/hyperactivity disorder (ADHD) and subsequent labour market marginalisation (LMM) in two comparison groups, i.e. matched young adults from the general population without ADHD and unaffected siblings to persons with ADHD and (2) to assess the role of comorbid disorders. Methods This study included all young adults in Sweden, aged 19-29 years, with an incident diagnosis of ADHD 2006-2011 (n = 9718). Crude and multivariate sex-stratified hazard ratios (HRs) with 95% confidence intervals (CIs) were measured 5 years after the diagnosis of ADHD for the risk of disability pension, long-term sickness absence (SA) (>90 days), long-term unemployment (>180 days) and a combined measure of all three in young adults with ADHD compared to their siblings without ADHD and a matched comparison group. Results In the adjusted analyses young adults with ADHD had a 10-fold higher risk of disability pension (HR = 10.2; CI 9.3-11.2), a nearly three-fold higher risk of long-term SA (HR = 2.7; CI 2.5-2.8) and a 70% higher risk of long-term unemployment (HR = 1.7; CI 1.6-1.8) compared to the matched comparison group. The risk estimates were lower compared to siblings for disability pension (HR = 9.0; CI 6.6-12.3) and long-term SA (HR = 2.5; CI 2.1-3.1) but higher in the long-term unemployed (HR = 1.9; CI 1.6-2.1). Comorbid disorders explained about one-third of the association between ADHD and disability pension, but less regarding SA and long-term unemployment. Conclusions Young adults with ADHD have a high risk for different measures of LMM and comorbidities explain only a small proportion of this relationship.
Details
- Database :
- OAIster
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1399552163
- Document Type :
- Electronic Resource
- Full Text :
- https://doi.org/10.1017.S0033291721002701