AbstractEmotional maladaptation is characterized by impaired affect regulation, heightened stress sensitivity, and disorganized emotional responses. While depressive and anxiety conditions have been widely studied, the personality-based vulnerability markers remain insufficiently defined, especially within practitioner-generated datasets.This study analyzes real-world psychological practice data to identify personality predictors of depressive symptom severity (Beck_sum), used as an indicator of maladaptation. Four character accentuations—cyclothymia, dysthymia, emotionality, and anxiety—were tested as predictors in a multiple regression model (N = 20).Cyclothymia emerged as the only statistically significant predictor (β = 0.612, p = 0.025), highlighting affective instability as a key mechanism of vulnerability. These findings support the central role of emotional lability in depressive symptomatology and demonstrate the ecological validity of practice-based datasets.