The impact of repeated manic episodes and executive dysfunction on work adjustment in bipolar disorder.

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Title: The impact of repeated manic episodes and executive dysfunction on work adjustment in bipolar disorder.
Authors: Bonnín, C., Torrent, C., Goikolea, J., Reinares, M., Solé, B., Valentí, M., Sánchez-Moreno, J., Hidalgo, D., Tabarés-Seisdedos, R., Martínez-Arán, A., Vieta, E.
Source: European Archives of Psychiatry & Clinical Neuroscience. Apr2014, Vol. 264 Issue 3, p247-254. 8p.
Subjects: Executive function, Bipolar disorder, Psychological adaptation, Neuropsychological tests, Mania, Sociodemographic factors
Abstract: The aim of this study was to study the clinical and neurocognitive variables that best explain poor work adjustment in a sample of bipolar I euthymic patients. Eighty-five euthymic patients at the Hospital Clinic of Barcelona were assessed for this study by means of a comprehensive neuropsychological battery and a work-focused interview to determine work adjustment. Clinical and sociodemographic variables were also collected. Direct logistic regression was performed to assess the impact of demographic, clinical and neuropsychological variables on the likelihood of presenting poor work adjustment. The model that best fitted contained five variables (Hamilton Depression Rating scores, number of manic episodes, number of perseverative errors in the Wisconsin Card Sorting Test (WCST), number of depressive episodes and Trail Making Test-part B). However, only two out of these variables made a unique statistically significant contribution to the model, which were number of manic episodes (OR 1.401; CI 1.05-1.86; p = 0.021) and number of perseverative errors in the WCST (OR 1.062; CI 1.00-1.12; p = 0.044). The model explained up to 36 % of the variance in work adjustment. This study highlights the role of manic relapses and neurocognitive impairment, specifically the role of executive function, in work adjustment. [ABSTRACT FROM AUTHOR]
Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: The impact of repeated manic episodes and executive dysfunction on work adjustment in bipolar disorder.
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  Data: <searchLink fieldCode="AR" term="%22Bonnín%2C+C%2E%22">Bonnín, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Torrent%2C+C%2E%22">Torrent, C.</searchLink><br /><searchLink fieldCode="AR" term="%22Goikolea%2C+J%2E%22">Goikolea, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Reinares%2C+M%2E%22">Reinares, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Solé%2C+B%2E%22">Solé, B.</searchLink><br /><searchLink fieldCode="AR" term="%22Valentí%2C+M%2E%22">Valentí, M.</searchLink><br /><searchLink fieldCode="AR" term="%22Sánchez-Moreno%2C+J%2E%22">Sánchez-Moreno, J.</searchLink><br /><searchLink fieldCode="AR" term="%22Hidalgo%2C+D%2E%22">Hidalgo, D.</searchLink><br /><searchLink fieldCode="AR" term="%22Tabarés-Seisdedos%2C+R%2E%22">Tabarés-Seisdedos, R.</searchLink><br /><searchLink fieldCode="AR" term="%22Martínez-Arán%2C+A%2E%22">Martínez-Arán, A.</searchLink><br /><searchLink fieldCode="AR" term="%22Vieta%2C+E%2E%22">Vieta, E.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22European+Archives+of+Psychiatry+%26+Clinical+Neuroscience%22">European Archives of Psychiatry & Clinical Neuroscience</searchLink>. Apr2014, Vol. 264 Issue 3, p247-254. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+adaptation%22">Psychological adaptation</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychological+tests%22">Neuropsychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Mania%22">Mania</searchLink><br /><searchLink fieldCode="DE" term="%22Sociodemographic+factors%22">Sociodemographic factors</searchLink>
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  Data: The aim of this study was to study the clinical and neurocognitive variables that best explain poor work adjustment in a sample of bipolar I euthymic patients. Eighty-five euthymic patients at the Hospital Clinic of Barcelona were assessed for this study by means of a comprehensive neuropsychological battery and a work-focused interview to determine work adjustment. Clinical and sociodemographic variables were also collected. Direct logistic regression was performed to assess the impact of demographic, clinical and neuropsychological variables on the likelihood of presenting poor work adjustment. The model that best fitted contained five variables (Hamilton Depression Rating scores, number of manic episodes, number of perseverative errors in the Wisconsin Card Sorting Test (WCST), number of depressive episodes and Trail Making Test-part B). However, only two out of these variables made a unique statistically significant contribution to the model, which were number of manic episodes (OR 1.401; CI 1.05-1.86; p = 0.021) and number of perseverative errors in the WCST (OR 1.062; CI 1.00-1.12; p = 0.044). The model explained up to 36 % of the variance in work adjustment. This study highlights the role of manic relapses and neurocognitive impairment, specifically the role of executive function, in work adjustment. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of European Archives of Psychiatry & Clinical Neuroscience is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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