ArticleNeuropsychiatric disease and treatment2025
Predictors of Changes in Depressive Symptoms with Major Depressive Disorder - A Naturalistic 6-month Follow-up Study.
Article in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: There are limited reports, particularly in naturalistic settings, regarding predictors of clinical outcomes in patients with major depressive disorder (MDD). The objective of this observational, retrospective study is to describe 6-month clinical outcomes and identify their predictors among patients with MDD in Japan. Patients and methods: A total of 546 patients diagnosed with MDD at their first visit were enrolled in this naturalistic follow-up study, of whom 217 completed follow-up assessments at six months. Depressive symptoms were measured using the Japanese Quick Inventory of Depressive Symptomatology (QIDS-J). Potential predictors, including demographic characteristics, personality traits (assessed using the Ten Item Personality Inventory-Japanese version [TIPI-J]), and psychotic symptoms (measured by the PRIME Screen-Revised [PS-R]), were analyzed. Results: Among the 217 follow-up completers, 38% achieved response, and 20% reached remission. Persistent symptoms, particularly mid-nocturnal insomnia, remained prevalent at follow-up. Higher baseline depressive severity, presence of view of myself symptom, endorsement of suspiciousness/persecutory ideas, and lower educational attainment were consistently associated with greater depressive symptom severity at six months. Additionally, a robust association was observed between openness to experience and remission, while absence of view of myself symptom and endorsement of first-rank symptoms consistently predicted remission. Conclusion: This study identified significant predictors of clinical outcomes in MDD patients over a 6-month period. These findings underscore the importance of considering baseline symptoms, personality traits, and psychosocial factors in predicting MDD outcomes, informing more tailored treatment strategies in real-world clinical practice.
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