Why the study?
It was unknown how work disability patterns before and after acute myocardial infarction relate to subsequent common mental disorders in patients without prior common mental disorders.
Do work disability patterns before and after acute myocardial infarction predict the risk of subsequent common mental disorders in AMI patients?
Do work disability patterns before and after acute myocardial infarction predict the risk of subsequent common mental disorders in AMI patients?
Pre- and post-AMI work disability patterns are significant predictors of subsequent common mental disorders, suggesting that gradually tapering sick leave may be optimal for mental health prognosis.
This study investigated the extent to which work disability patterns including sickness absence and disability pension (SA/DP) before and after acute myocardial infarction (AMI) were associated with subsequent common mental disorders (CMDs) such as depression and anxiety in AMI patients without previous CMD. Total 11,493 patients 26-64 years with incident AMI during 2008-10 were followed up for CMD (measured as antidepressant prescription) through 2013. Four SA/DP trajectory groups during the 3-years pre-AMI and 1-year post-AMI were identified. Hazard ratios (HRs) with 95% confidence intervals for subsequent CMD were estimated in Cox models. Higher pre-AMI SA/DP annual levels (>1-12 months/year) were associated with 40-60% increased CMD rate than the majority (78%) with low increasing levels (increasing up to 1 month/year). Regarding post-AMI findings, constant high (~25-30 days/month) SA/DP levels within the first 3 months was associated with a 76% higher CMD rate, compared to constant low (0 days/month). A gradually decreasing post-AMI SA/DP pattern over a 12-month period suggested protective influences for CMD (HR = 0.80). This is the first study to demonstrate that pre- and post-AMI work disability patterns are associated with subsequent CMD risk in AMI patients. Work disability patterns should be considered as an indicator of AMI prognosis in terms of CMD risk.
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Bokenberger et al. (2019) studied this question.
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