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Changes in Depression Subtypes Among Men in STAR*D: A Latent Transition Analysis
Christine M Ulbricht1, Levent Dumenci2, Anthony J Rothschild1,3
11 University of Massachusetts Medical School, Worcester, MA, USA.
American Journal of Men'S Health
|October 7, 2015
Summary
Depression in men shows diverse subtypes. Treatment response varied, with mild depression improving most and agitated severe depression showing no improvement, emphasizing symptom patterns over scores.
Area of Science:
- Psychiatry
- Clinical Psychology
- Mental Health Research
Background:
- Major depression significantly impacts men, yet current diagnostic criteria may not fully represent their experiences.
- Heterogeneity in depressive symptom presentation among men requires further characterization.
- Understanding distinct depression subtypes in men is crucial for effective treatment.
Purpose of the Study:
- To identify latent subtypes of major depression in men.
- To examine the changes in these subtypes over a 12-week treatment period.
- To analyze treatment response based on identified depression subtypes.
Main Methods:
- Latent transition analysis applied to data from 387 men in Level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial.
- Utilized items from the Quick Inventory of Depressive Symptomatology (self-report) to define latent depression subtypes.
- Assessed symptom patterns at baseline and Week 12 study visits.
Main Results:
- Four distinct depression subtypes were identified at baseline: Mild (10%), Moderate (53%), Severe with Psychomotor Slowing (20%), and Severe with Psychomotor Agitation (17%).
- At Week 12, subtypes shifted to Symptom Resolution (41%), Mild (36%), Moderate (18%), and Severe with Psychomotor Slowing (5%).
- Men with Mild depression had the highest likelihood of achieving Symptom Resolution (69%), while those with Severe Agitation showed no resolution (0%).
Conclusions:
- Depression in men is heterogeneous, with distinct subtypes exhibiting varied treatment responses.
- Focusing solely on overall depression scores may obscure critical differences in symptom patterns and treatment outcomes.
- Tailoring interventions based on specific symptom profiles, rather than general severity, may improve depression management in men.
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