Mixed features and suicide attempts in youth depression: a six-month follow-up study
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Mixed features during major depressive episodes (MDE) may confer elevated suicide risk, yet evidence in adolescents and young adults remains limited. This study aimed to investigate the association between mixed features and suicide attempts in this population. METHODS: We conducted a prospective cohort study including 951 adolescents and young adults (aged 13–25 years) with MDE, recruited from multiple hospitals in South China (2022–2023). Mixed features were defined as ≥ 3 (hypo)manic symptoms during depression. Baseline suicidal risk was assessed using item 3 of the Hamilton Depression Rating Scale (HAMD-17). Follow-up suicide attempts were assessed at 1, 3, and 6 months via structured interviews. Cox proportional hazards models evaluated time to first suicide attempt, with multiple imputation applied for missing data. Subgroup analyses examined effect modification by sex, episode status, age, and illness duration. RESULTS: Of 951 participants, 316 (33.2%) met criteria for mixed features. Participants with mixed features had a higher incidence of suicide attempts during follow-up, reaching significance at month 6 (p = 0.032). Cox regression showed that mixed features were associated with an increased hazard of suicide attempts (HR = 1.32, p = 0.045; complete-case analysis HR = 1.89, p = 0.039). Baseline depressive severity and suicidal ideation independently predicted risk. Subgroup analyses showed a significantly stronger effect among participants in their first depressive episode. Participants with shorter illness duration also exhibited the highest hazard ratio, although the interaction did not reach conventional significance. CONCLUSIONS: Mixed features were associated with an increased risk of suicide attempts in adolescents and young adults with depression, with the effect being most evident in first-episode patients. Systematic assessment of mixed features may help identify individuals who would benefit from early and tailored preventive strategies. CLINICAL TRIAL NUMBER: Not applicable.
Source: BMC Psychiatry
Authors: Kunrong Lin, Yuhang He, Jie Zhang, Yufen Ou, Hongbo He
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,290
OpenAlex ID: W7123787168
