The underlying dynamics of a suicidal ideation latent network model: The role of hopelessness, psychopathology, emotion regulation, and behavioral coping skills in adolescents from the general population.

BACKGROUND

Suicide is a major cause of death among adolescents, with suicidal ideation (SI) being a common symptom in this group. SI arises from a complex mix of biological, environmental, and psychological factors, however, the specific relationships between them is not yet fully understood. Network theory has been proposed as a promising framework to analyze these relationships, with latent network models (LNM) offering a novel approach to capture their complex underlying dynamics.

METHODS

We examined a SI-based LNM in a sample of 1539 students from secondary public schools (M = 15.336; SD = 1.022; female = 52.39 %). The model included depressive and anxiety symptoms, feelings of hopelessness, emotion regulation strategies, and cognitive-behavioral and problem-solving skills. Strength and expected influence indices were calculated for each variable.

RESULTS

Hopelessness and depressive symptoms showed the highest strength and expected influence values within the model, respectively. Our findings suggest that hopelessness might play a crucial mediating role linking common mental disorders and emotion regulation strategies with SI in adolescents. Expressive suppression had a direct and negative association with SI, showing its underlying regulatory role when other factors are controlled. Cognitive-behavioral and problem-solving skills showed weak links with SI.

CONCLUSIONS

Primary care- and school-based interventions should center on hopelessness as a relevant direct predictor for SI, and potential mediator in the course of SI. A combination of research and intervention efforts directed at reducing hopelessness in youths may prove to be essential for reducing suicide-related behaviors altogether.