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Bipolar disorders · 2015

Predictors of long-term work disability among patients with type I and II bipolar disorder: a prospective 18-month follow-up study.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Arvilommi Petri, Suominen Kirsi, Mantere Outi, Valtonen Hanna, Leppämäki Sami, Isometsä Erkki

Аннотация

OBJECTIVES: Bipolar disorder (BD) is one of the leading causes of disability worldwide. However, vocational ability and predictors of long-term work disability have rarely been studied among patients with BD. We investigated clinical predictors of work disability among patients with BD in psychiatric care.

METHODS: The Jorvi Bipolar Study (JoBS) is a naturalistic prospective cohort study (N = 191) representing adult (18-59 years) psychiatric inpatients and outpatients with DSM-IV bipolar I disorder (BD-I) and bipolar II disorder (BD-II) in three Finnish cities. Within the JoBS, we investigated the prevalence of disability pensions at baseline, and predictors for being granted a disability pension during an 18-month follow-up of the 151 patients in the labor force at baseline. Cox models were used to determine predictors for onset of disability pension.

RESULTS: At baseline, 21% (40/191) of the patients already had a disability pension. During the follow-up, a further 38 patients (25% of the 151 followed) were granted a new disability pension. The predictors included older age, male gender, depressive index episode, higher number of psychiatric hospitalizations, generalized anxiety disorder, avoidant personality disorder, and depressive burden during follow-up. However, the predictors differed depending on bipolar subtype, age, and gender.

CONCLUSIONS: BD-I and BD-II are associated with a major risk of long-term work disability, the proportion of patients with a disability pension rising to 41% in the medium-term follow-up of the Finnish cohort investigated in the present study. Severe clinical course, depression, comorbidities, age, and gender are likely to be the main predictors but predictors may vary depending on the subgroup.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты