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P01-405 - Depression Profile: Development of a New Psychometric Instrument Evaluating Depressive Symptom Clusters Associated with Different Neurotransmitter Systems

Published online by Cambridge University Press:  17 April 2020

G. Faludi ,
X. Gonda ,
V. Meszaros ,
V. Bekes ,
A. Sarosi  and
A. Olah
G. Faludi
Affiliation:
Department of Clinical and Theoretical Mental Health, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary
X. Gonda
Affiliation:
Department of Clinical and Theoretical Mental Health, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary
V. Meszaros
Affiliation:
Faculty of Education and Psychology, Eovos Lorand University, Budapest, Hungary
V. Bekes
Affiliation:
Department of Clinical and Theoretical Mental Health, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary
A. Sarosi
Affiliation:
Department of Clinical and Theoretical Mental Health, Kutvolgyi Clinical Centre, Semmelweis University, Budapest, Hungary
A. Olah
Affiliation:
Faculty of Education and Psychology, Eovos Lorand University, Budapest, Hungary

Abstract

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Objective

Distinct subtypes of depression presenting with characteristic symptom clusters have different neuroanatomical and neurochemical background, and these subtypes behave differently also pharmacologically. Based on the neurocircuitry theory, several studies investigated the possible neuroanatomical and neurochemical substrates of major depressive symptoms. Our team has developed a new scale, the Depression Profile that incorporates symptoms associated with depression forming symptom clusters that can be mapped to different neurotransmitter systems.

Methods

339 major depressive patients completed the original 90-item structure of Depression Profile. Confirmatory and exploratory factor analysis was used to establish the final structure. The external validity of the new structure was tested against the Zung Self-Rating Depression Scale and Sheehan Patient Rated Anxiety Scale.

Results

After exploratory factor analysis the number of items decreased to 67. Reliability of the new structure proved to be very good and its construct validity was supported by confirmatory factor analysis. Convergent validity testing of the new structure showed average correlation with the two other questionnaires.

Conclusion

Current depression scales do not provide for the separate in-depth screening of depressive symptom clusters associated with different neurotransmitter systems playing a role in depression. We attempted to develop a new depression scale separately assessing depressive symptom clusters reflecting the activity of different neurotransmitter systems. First psychometric tests indicate that our scale is a promising instrument for decomposing depression to subtypes with different neurochemical backgrounds, which would make it a useful tool in selecting a tailor-made pharmacological treatment for each patient that most effectively treats their depressive symptoms.

Type
Diagnostic / Classification / Psychopathology
Information
European Psychiatry , Volume 25 , Issue S1: 18th European Congress of Psychiatry. February 27, March 2, 2010 - Munich, Germany , 2010 , 25-E613
Copyright
Copyright © European Psychiatric Association 2010
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