Aims: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD). Methods: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling. Results: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood. Conclusion: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.
Early clinical predictors of long‐term morbidity in major depressive disorder
Koukopoulos, Alexia;
2019-01-01
Abstract
Aims: To identify early clinical factors predictive of later morbidity in major depressive disorder (MDD). Methods: We analysed factors associated with long-term depressive morbidity (%-time ill) between a first-lifetime major depressive episode and last follow-up of 116 adults diagnosed with DSM-IV major depressive disorder. Bivariate comparisons were followed by multivariable linear regression modelling. Results: Three factors were independently associated with an average of 25%-time-depressed over 17 years at risk: (a) agitated-mixed, or psychotic features in initial major depressive episodes, (b) anxiety syndromes prior to a first-lifetime major depressive episode, and (c) anxiety symptoms in childhood. Conclusion: Early anxiety symptoms and syndromes and agitated-mixed or psychotic initial depressive episodes predicted more long-term depressive morbidity in MDD.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
