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Identification of Depression and Screening for Work Disabilities among Long-Term Unemployed People

Bibliographic Data

ID15467459
AuthorsKirsti Nurmela (0000-0001-5203-901X, Tampere University, corresponding author), Aino K Mattila (0000-0002-0052-2306, Tampere University), Virpi Heikkinen (Tampere University Hospital), Jukka Uitti (0000-0003-0371-1193, Tampere University), Aarne Ylinen (University of Helsinki), P Virtanen (0000-0003-4322-1033, Uppsala University)
Year2018
Volume15
Issue5
Pages909-909
Publication date2018-05-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15050909
PMID29751563
OpenAlexW2802752832
LanguageEN
Citations received2
References cited34

The study explores whether clinical screening targeted at work disabilities among long-term unemployed people reveals eligible individuals for a disability pension and the importance of depression in granting the disability pensions. A total of 364 participants of the screening project were considered as eligible to apply for disability pension. Among them, 188 were diagnosed as clinically depressed. They were classified into those with earlier depression diagnosis ( n = 85), those whose depression had not been diagnosed earlier ( n = 103), and those without diagnosed depression ( n = 176). The association of this ‘Depression identification pattern’ with being granted a disability pension was explored by logistic regression analyses. Compared to those with earlier diagnosis, those whose depression had not been diagnosed earlier were granted disability pension more commonly (72% vs. 54% OR 2.2, p = 0.012). Corresponding figures of the undepressed were 73%, OR 2.3, p = 0.002. The adjustments did not affect the results. Clinical examination of the long-term unemployed people in terms of work disability seems to be worthwhile. In particular, the examination reveals new depression diagnoses, which contribute more to the award of disability pension than depression diagnosed earlier by regular health care. Novel ways to detect depression among the unemployed should be implemented in the health and employment services

Affect (linguistics · Depression (economics · Disability pension · Environmental health · Logistic regression · Medical diagnosis · Pension · Population · Psychiatry · Unemployment · Employment and Welfare Studies · Medicine · Psychology · Retirement, Disability, and Employment · Workplace Health and Well-being · Finance · Gerontology

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Unique citing works2
Citations per year0,25
Citation span2018 - 2020 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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