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The persistence of depression score.

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Title: The persistence of depression score.
Authors: Spijker, J. (AUTHOR), De Graaf, R. (AUTHOR), Ormel, J. (AUTHOR), Nolen, W. A. (AUTHOR), Grobbee, D. E. (AUTHOR), Burger, H. (AUTHOR)
Source: Acta Psychiatrica Scandinavica. Dec2006, Vol. 114 Issue 6, p411-416. 6p. 4 Charts, 1 Graph.
Subjects: Mental depression, Age groups, Prognosis, Health risk assessment, Social support
Abstract: Objective: To construct a score that allows prediction of major depressive episode (MDE) persistence in individuals with MDE using determinants of persistence identified in previous research. Method: Data were derived from 250 subjects from the general population with new MDE according to DSM-III-R. These subjects were recruited from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), using the Composite International Diagnostic Interview. Determinants for persistence were transformed into a practical risk score using proportional hazards models and bootstrapping techniques. Results: The risk of MDE persistence after 12 months was 23%. The score comprised measures of physical illness, social support, depression severity and recurrency, and duration of previous episodes. With increasing categories of these measures, the predicted risks increased from 7 to 40%. Conclusion: We constructed the Persistence of Depression Score (PDS) showing reasonable performance. The PDS could be of importance in clinical practice to support treatment decisions. [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: The persistence of depression score.
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  Data: <searchLink fieldCode="JN" term="%22Acta+Psychiatrica+Scandinavica%22">Acta Psychiatrica Scandinavica</searchLink>. Dec2006, Vol. 114 Issue 6, p411-416. 6p. 4 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Age+groups%22">Age groups</searchLink><br /><searchLink fieldCode="DE" term="%22Prognosis%22">Prognosis</searchLink><br /><searchLink fieldCode="DE" term="%22Health+risk+assessment%22">Health risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Social+support%22">Social support</searchLink>
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  Label: Abstract
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  Data: Objective: To construct a score that allows prediction of major depressive episode (MDE) persistence in individuals with MDE using determinants of persistence identified in previous research. Method: Data were derived from 250 subjects from the general population with new MDE according to DSM-III-R. These subjects were recruited from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), using the Composite International Diagnostic Interview. Determinants for persistence were transformed into a practical risk score using proportional hazards models and bootstrapping techniques. Results: The risk of MDE persistence after 12 months was 23%. The score comprised measures of physical illness, social support, depression severity and recurrency, and duration of previous episodes. With increasing categories of these measures, the predicted risks increased from 7 to 40%. Conclusion: We constructed the Persistence of Depression Score (PDS) showing reasonable performance. The PDS could be of importance in clinical practice to support treatment decisions. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=22987296
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        Value: 10.1111/j.1600-0447.2006.00821.x
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        Text: English
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              Text: Dec2006
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