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This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

SO351

Predictive value of addiction-like features for recurrent self-injury at follow-up in adolescents with major depressive disorder

PREDICTIVE VALUE OF NSSI ADDICTIVE FEATURES FOR RECURRENT NSSI AT FOLLOW-UP AMONG ADOLESCENTS WITH MAJOR DEPRESSIVE DISORDER

Baseline addiction-like features predict persistent self-injury at follow-up in adolescents with major depressive disorder beyond baseline frequency, but their contribution to discrimination remains small.

The study aimed to examine whether baseline addictive features (AF) of non-suicidal self-injury (NSSI) predict persistent NSSI at follow-up beyond demographic variables and baseline NSSI frequency. This prospective observational study examined 120 adolescents diagnosed with major depressive disorder (MDD) and NSSI who completed a valid follow-up assessment at least 10 months later; AF were measured using the addiction-related items of the Ottawa Self-Injury Inventory, and persistent NSSI was defined as any NSSI reported in the 6 months preceding follow-up. Univariable logistic regression analyses were followed by hierarchical models: Model 0 included age, sex, and follow-up interval; Model 1 added baseline NSSI frequency; Model 2 added AF; and Model 3 added physiological anxiety. The AUC values of Model 1 and Model 2 were compared. Persistent NSSI was reported by 40 of the 120 participants (33.3%); the persistent and non-persistent groups had respective scores of 12.57 (8.79) and 6.54 (6.69) for AF (Hedges' g=0.81, p=0.000), 22.45 (4.83) and 19.86 (5.48) for anxiety (RCMAS total) (g=0.49, p=0.010), 7.72 (1.93) and 6.51 (2.24) for physiological anxiety (g=0.56, p=0.003), and 15.22 (2.04) and 16.26 (1.91) for age (g=-0.53, p=0.009); no differences were found in depression (CDI, p=0.250), impulsivity (BIS, p=0.939), or life events (ASLEC, p=0.479). In the univariable analysis, AF were associated with the risk of persistent NSSI (OR=2.19, 95% CI 1.45-3.32); after adjustment for age, sex, follow-up interval, and baseline NSSI frequency, AF remained independently significant (OR per standard deviation=1.81, 95% CI 1.01-3.22, p=0.045), but were no longer significant in Model 3, which also included physiological anxiety (OR=1.68, 95% CI 0.93-3.04, p=0.087). For baseline NSSI frequency, the comparison of 25 or more episodes versus 1-4 was significant (OR=3.42, 95% CI 1.15-10.17, p=0.027), whereas the comparison of 5-24 versus 1-4 was not significant (OR=1.38, 95% CI 0.45-4.29, p=0.574). Adding AF increased the model's discrimination to an AUC of 0.792, but the increase was small and non-significant (ΔAUC=0.010; DeLong p=0.557). The authors note that AF provide additional information beyond baseline frequency, but that further evidence is needed to validate them as a clinically useful risk indicator.

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