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Mood instability and functional recovery in bipolar disorders.

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Title: Mood instability and functional recovery in bipolar disorders.
Authors: Strejilevich, S. A., Martino, D. J., Murru, A., Teitelbaum, J., Fassi, G., Marengo, E., Igoa, A., Colom, F.
Source: Acta Psychiatrica Scandinavica. Sep2013, Vol. 128 Issue 3, p194-202. 9p. 2 Diagrams, 2 Charts.
Subjects: Bipolar disorder, Mood (Psychology), Public health, Mental depression, Affective disorders, Pathological psychology
Abstract: Objective The aim of this study was to identify psychopathological factors associated with long-term functional outcome in euthymic bipolar disorder patients and to test new measures of mood instability and symptoms intensity. Method Fifty-five patients with more than 12 months of follow-up were included. In addition to traditional clinical variables, the time spent ill was documented using a modified life-charting technique based on NIHM life-charting method. New measures, Mood Instability Factor, and Mood Intensity Factor were defined and assessed. Functioning Assessment Short Test ( FAST) was used to assess disability. Results The follow-up period was 3.00 ± 1.51 years. Weeks with subsyndromal depressive symptoms (β = 0.133, t = 2.556, P = 0.014), weeks with mild manic symptoms (β = 1.441, t = 3.10, P = 0.003), and the Mood Instability Factor (β = 0.105, t = 3.593, P = 0.001) contributed to approximately 46% of the FAST total score variance. Conclusion New methodologies including subsyndromal symptoms and mood instability parameters might contribute to understand the worse long-term functional outcome that affects a considerable percentage of BD patients even after episode remission. Concerns about therapeutic approaches are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Mood instability and functional recovery in bipolar disorders.
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Sep2013, Vol. 128 Issue 3, p194-202. 9p. 2 Diagrams, 2 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Bipolar+disorder%22">Bipolar disorder</searchLink><br /><searchLink fieldCode="DE" term="%22Mood+%28Psychology%29%22">Mood (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Affective+disorders%22">Affective disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink>
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  Data: Objective The aim of this study was to identify psychopathological factors associated with long-term functional outcome in euthymic bipolar disorder patients and to test new measures of mood instability and symptoms intensity. Method Fifty-five patients with more than 12 months of follow-up were included. In addition to traditional clinical variables, the time spent ill was documented using a modified life-charting technique based on NIHM life-charting method. New measures, Mood Instability Factor, and Mood Intensity Factor were defined and assessed. Functioning Assessment Short Test ( FAST) was used to assess disability. Results The follow-up period was 3.00 ± 1.51 years. Weeks with subsyndromal depressive symptoms (β = 0.133, t = 2.556, P = 0.014), weeks with mild manic symptoms (β = 1.441, t = 3.10, P = 0.003), and the Mood Instability Factor (β = 0.105, t = 3.593, P = 0.001) contributed to approximately 46% of the FAST total score variance. Conclusion New methodologies including subsyndromal symptoms and mood instability parameters might contribute to understand the worse long-term functional outcome that affects a considerable percentage of BD patients even after episode remission. Concerns about therapeutic approaches are discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell 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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