Mental disorder sick leave in Sweden: A population study

Lidwall, Ulrik; Bill, Sofia; Palmer, Edward; Bohlin, Christina Olsson

doi:10.3233/wor-172672

Cited by 57 publications

(100 citation statements)

References 55 publications

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“…In this large multi-cohort study social workers were at a heightened probability of antidepressant treatment and long-term antidepressant treatment compared to human service and non-human service professionals, and the results were largely similar between countries. These results are in line with previous studies of the increased risk of mental disorders among social workers (Buscariolli et al, 2018;Lidwall et al, 2018;Rantonen et al, 2017). We contribute to existing knowledge on antidepressant treatment in human service professionals with a comparative Nordic perspective including findings from two large nation-wide cohorts and the Finnish Public Sector Study and combination of those results in a meta-analysis.…”

Section: Discussionsupporting

confidence: 89%

“…The stigma of mental disorders is particularly high among male health and social care professionals (Clement et al, 2015) and thus it may hinder help-seeking behaviors, decrease the likelihood of early detection and increase antidepressant use as an organization-specific coping mechanism (Buscariolli et al, 2018). High-risk occupations in this sector may include also social care associate professionals, nurses and home care assistants (Buscariolli et al, 2018;Lidwall et al, 2018;Wieclaw et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…The Finnish Public Sector study (FPS) (Virtanen, 2008), 2) a Danish nation-wide cohort of workingaged employees (18-63 years) derived by linking various registers at Statistics Denmark (Thygesen and Ersbøll, 2011), and 3) the Swedish Insurance Medicine All-Sweden project (IMAS) (Lidwall et al, 2018), which covers the working-aged (16-64 years) population in Sweden.…”

Section: Methodsmentioning

confidence: 99%

“…insufficient resources and marketization) have been accompanied with increased job demands due to elevated numbers of customers with complex problems, especially in social work (Blomberg et al, 2015;Mänttäri-van der Kuip, 2014;Welshman, 2017). During the last two decades, , increased rates of mental disorders have been reported in human service professionals and, in particular, in social workers who carry out demanding client work (Buscariolli et al, 2018;Lidwall et al, 2018;Rantonen et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Antidepressant treatment among social workers, human service professionals, and non-human service professionals: A multi-cohort study in Finland, Sweden and Denmark

Rantonen

Alexanderson

Clark

et al. 2019

Journal of Affective Disorders

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Background− Social workers have an elevated risk for mental disorders, but little is known about their antidepressant treatment. Aims-To examine any and long-term antidepressant treatment among social workers in Finland, Sweden and Denmark. Methods−We linked records from drug prescription registers to three prospective cohorts: the Finnish Public Sector study, years 2006-2011, and nationwide cohorts in Sweden and Denmark, years 2006-2014, including a total of 1.5 million employees in 1) social work, 2) other social and health care professions, 3) education and 4) office work. We used Cox proportional hazards models to estimate hazard ratios for any and long-term (>6 months) antidepressant treatment among social workers compared to the three reference occupational groups and carried out meta-analyses. Results− During follow-up, 25% of social workers had any prescriptions for antidepressants (19-24% reference occupations) and 20% for long-term treatment (14-19% reference occupations). The pooled effects for any and long-term treatment showed that probabilities were 10% higher in social workers compared to other health and social care professionals and 30% higher compared to education and non-human service professionals. Probabilities for any treatment in the three countries were relatively similar, but for long-term treatment social workers in Finland had a greater risk compared with other human service professions. Limitations-There were differences between the cohorts in the availability of data. Specific diagnoses for the antidepressant treatment were not known neither adherence to treatment. Conclusion−Social workers have a higher risk for any and long-term antidepressant treatment than other human and non-human service professionals.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Antidepressant treatment among social workers, human service professionals, and non-human service professionals: A multi-cohort study in Finland, Sweden and Denmark

Rantonen

Alexanderson

Clark

et al. 2019

Journal of Affective Disorders

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“…Work (dis)ability and absenteeism is a core topic in occupational health research and practice [1][2][3][4][5]. Common mental health problems, e.g.…”

Section: Work-anxiety Rather Than Cognitive Performance Contributes Tmentioning

confidence: 99%

Work-Anxiety Rather Than Cognitive Performance Contributes to Workability Decisions in Patients With Mental Disorders

Muschalla

2018

Journal of Occupational &Amp; Environmental Medicine

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Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

et al. 2018

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; for the PRONIA Consortium IMPORTANCE Social and occupational impairments contribute to the burden of psychosis and depression. There is a need for risk stratification tools to inform personalized functional-disability preventive strategies for individuals in at-risk and early phases of these illnesses. OBJECTIVE To determine whether predictors associated with social and role functioning can be identified in patients in clinical high-risk (CHR) states for psychosis or with recent-onset depression (ROD) using clinical, imaging-based, and combined machine learning; assess the geographic, transdiagnostic, and prognostic generalizability of machine learning and compare it with human prognostication; and explore sequential prognosis encompassing clinical and combined machine learning. DESIGN, SETTING, AND PARTICIPANTS This multisite naturalistic study followed up patients in CHR states, with ROD, and with recent-onset psychosis, and healthy control participants for 18 months in 7 academic early-recognition services in 5 European countries. Participants were recruited between February 2014 and May 2016, and data were analyzed from April 2017 to January 2018. AIN OUTCOMES AND MEASURES Performance and generalizability of prognostic models. RESULTS A total of 116 individuals in CHR states (mean [SD] age, 24.0 [5.1] years; 58 [50.0%] female) and 120 patients with ROD (mean [SD] age, 26.1 [6.1] years; 65 [54.2%] female) were followed up for a mean (SD) of 329 (142) days. Machine learning predicted the 1-year social-functioning outcomes with a balanced accuracy of 76.9% of patients in CHR states and 66.2% of patients with ROD using clinical baseline data. Balanced accuracy in models using structural neuroimaging was 76.2% in patients in CHR states and 65.0% in patients with ROD, and in combined models, it was 82.7% for CHR states and 70.3% for ROD. Lower functioning before study entry was a transdiagnostic predictor. Medial prefrontal and temporo-parietooccipital gray matter volume (GMV) reductions and cerebellar and dorsolateral prefrontal GMV increments had predictive value in the CHR group; reduced mediotemporal and increased prefrontal-perisylvian GMV had predictive value in patients with ROD. Poor prognoses were associated with increased risk of psychotic, depressive, and anxiety disorders at follow-up in patients in the CHR state but not ones with ROD. Machine learning outperformed expert prognostication. Adding neuroimaging machine learning to clinical machine learning provided a 1.9-fold increase of prognostic certainty in uncertain cases of patients in CHR states, and a 10.5-fold increase of prognostic certainty for patients with ROD. CONCLUSIONS AND RELEVANCE Precision medicine tools could augment effective therapeutic strategies aiming at the prevention of social functioning impairments in patients with CHR states or with ROD.

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Mental disorder sick leave in Sweden: A population study

Cited by 57 publications

References 55 publications

Antidepressant treatment among social workers, human service professionals, and non-human service professionals: A multi-cohort study in Finland, Sweden and Denmark

Antidepressant treatment among social workers, human service professionals, and non-human service professionals: A multi-cohort study in Finland, Sweden and Denmark

Work-Anxiety Rather Than Cognitive Performance Contributes to Workability Decisions in Patients With Mental Disorders

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

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