Background: It is well documented that sickness absence is strongly associated with disability retirement. A long-term sickness absence (LTSA) in particular increases the risk of disability retirement, but little is known about the variation of this risk across diagnostic causes. Further, as occupational classes differ in their diagnostic profiles, it is likely that the role of diagnosis in the pathway from LTSA to disability retirement varies between occupational classes. We examined how LTSA of different diagnostic causes predicts all-cause disability retirement and disability retirement due to the same diagnostic group or due to some other diagnostic group than that which caused the LTSA spell in different occupational classes.
Methods: Cox proportional hazards models were used to analyse a 70% random sample of all employed Finns aged 25-62 Finns in 2006 (N = 1,458,288). Disability retirement was followed from 2007 to 2014. The risk of disability retirement was compared between occupational classes with at least one LTSA spell due to musculoskeletal diseases, mental disorders, respiratory diseases, or circulatory diseases and those who had no LTSA spells due to these diagnostic groups during 2005.
Results: Those who had LTSA due to musculoskeletal diseases or mental disorders transferred more often to disability retirement due to same diagnostic group, whereas those who had LTSA due to respiratory or circulatory diseases transferred more often to disability retirement due to some other diagnostic group. The largest occupational class differences in all-cause disability retirement were found among those with LTSA due to mental disorders. For men, the hazard ratios (HR) varied from HR 5.70 (95% confidence interval (CI) 5.00-6.52) in upper non-manual employees to 2.70 (95% CI 2.50-2.92) in manual workers. For women, the corresponding HRs were 3.74 (95% CI 3.37-4.14) in upper non-manual employees and 2.32 (95% 2.17-2.50) in manual workers.
Conclusions: The association between LTSA and disability retirement varies between diagnostic groups, and the strength of this association further depends on the person's occupational class and gender.
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http://dx.doi.org/10.1186/s12889-020-09158-7 | DOI Listing |
RMD Open
January 2025
Epidemiology and Health Services Research, German Rheumatology Research Center, Berlin, Germany.
Objective: To analyse work participation among patients with inflammatory rheumatic musculoskeletal diseases (iRMDs), namely rheumatoid arthritis (RA), axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), systemic lupus erythematosus (SLE), systemic sclerosis (SSc) and ANCA-associated vasculitis (AAV).
Methods: A cross-sectional sample of 16 421 patients from the National Database of the German Collaborative Arthritis Centers, aged <65 years were analysed. For each diagnosis, yearly rates of absenteeism, employment and disability pensions were analysed from 2010 to 2022.
Int J Environ Res Public Health
January 2025
Department of Health Sciences, Faculty of Medicine, Lund University, P.O. Box 117, SE-221 00 Lund, Sweden.
Older adults with intellectual disabilities are not adequately prepared for ageing and show anxiety and uncertainty regarding the future. Therefore, the two-year educational intervention "Good Life in Old Age" was implemented to improve their understanding of ageing and enhance their well-being. This study aimed to explore the meaning of ageing during and after the intervention from the perspective of older adults with mild intellectual disability.
View Article and Find Full Text PDFMol Genet Genomics
January 2025
Neurosurgery Department of North Sichuan Medical College Affiliated Hospital, NanChong, 637000, Sichuan, China.
Stroke is a leading cause of death and disability globally, particularly in China. Identifying risk factors for stroke at an early stage is critical to improving patient outcomes and reducing the overall disease burden. However, the complexity of stroke risk factors requires advanced approaches for accurate prediction.
View Article and Find Full Text PDFJ Neurol Neurosurg Psychiatry
January 2025
National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark.
Background: We quantify the loss of working years for people with epilepsy compared with the general population and consider variation by aetiology, psychiatric comorbidity, sex and age.
Methods: This population-based cohort study included all individuals aged 18-65 years living in Denmark from 1995 to 2018. Using nationwide registers since 1977, we identified people with epilepsy and obtained information on the main source of income or employment for each year during follow-up from 1995 to 2020.
Aging Cell
January 2025
MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Metabolomics and epigenomics have been used to develop 'ageing clocks' that assess biological age and identify 'accelerated ageing'. While metabolites are subject to short-term variation, DNA methylation (DNAm) may capture longer-term metabolic changes. We aimed to develop a hybrid DNAm-metabolic clock using DNAm as metabolite surrogates ('DNAm-metabolites') for age prediction.
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