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Details

Autor(en) / Beteiligte
Titel
Trends of diagnosis-specific work disability after newly diagnosed diabetes: a 4-year nationwide prospective cohort study
Ist Teil von
  • Diabetes care, 2015-10, Vol.38 (10), p.1883-1890
Ort / Verlag
United States: American Diabetes Association
Erscheinungsjahr
2015
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • We examined trends of diagnosis-specific work disability after newly diagnosed diabetes, comparing individuals with diabetes with those without diabetes, and identified the subgroups with the highest levels of work disability. The register data of diabetes medication and in- and outpatient hospital visits were used to identify all recorded new diabetes cases among the population aged 25-59 years in Sweden in 2006 (n = 14,098). Data for a 4-year follow-up of ICD-10 physician-certified sickness absence and disability pension days (2007‒2010) were obtained from the Swedish Social Insurance Agency. Comparisons were made using a random sample of the population without recorded diabetes (n = 39,056). The most common causes of work disability were mental and musculoskeletal disorders; diabetes as a reason for disability was rare. Most of the excess work disability among people with diabetes compared with those without diabetes was owing to mental disorders (mean difference adjusted for confounding factors 18.8‒19.8 compensated days/year), musculoskeletal diseases (12.1‒12.8 days/year), circulatory diseases (5.9‒6.5 days/year), diseases of the nervous system (1.8‒2.0 days/year), and injuries (1.0‒1.2 days/year). The disparity in mental disorders first widened and then narrowed, while the difference in other major diagnostic categories was stable over 4 years. The highest rate (45.3 days/year) was found among people who had diabetes, lived alone, and were disabled from work owing to mental disorders. The increased risk of work disability among those with diabetes is largely attributed to comorbid mental, musculoskeletal, and circulatory diseases. It is important to monitor comorbid conditions and take account of socioeconomic disadvantage.

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