ArticleBrain and behavior2025
Suicidal Behavior in University Students in Spain: a Network Analysis.
Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Attachment, Physical Leisure, and Suicidal Ideation in Emerging Adulthood: Evidence from University Students.Behavioral sciences (Basel, Switzerland) · 2026Article
- Preliminary behavioral differences between Spanish adults with suicidal ideation and control population.Frontiers in health services · 2025Article
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Authors and funding
7 authors.
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Abstract
introductionSuicidal behavior is a significant mental health concern among university students, yet it remains underexplored through a network approach. Traditional methods often overlook the complex interplay of psychological factors influencing suicidal behavior. This study addresses this gap by (a) examining suicidal behavior using network analysis and (b) identifying the psychological network of suicidal behavior along with protective and risk factors among university students.
methodThe sample consisted of a total of 1048 Spanish university students (M = 20.5 years; SD = 2.5; 58.2% women) from various universities. Several instruments were used to measure suicidal behavior, emotional and behavioral difficulties, prosocial behavior, subjective well-being, emotional intelligence, self-esteem, empathy, affect (both positive and negative), and emotional regulation. Data were analyzed using network analysis to understand the relationships among these variables.
resultsA total of 21.5% of the participants had experienced suicidal thoughts, 26.3% had wished to be dead or not wake up, 15% had considered specific suicide methods or made plans, and 5.8% had attempted suicide at least once. In addition, 18% had engaged in non-suicidal self-injury (NSSI) at least once. Network analysis revealed that suicidal behavior was highly interconnected with other psychological factors, with "considered taking own life" as the most influential node. Key factors included depressive symptoms, positive affect, and emotional intelligence. Suicidal behavior showed a positive connection with depressive symptoms and negative affect and a negative connection with self-esteem and positive affect. Stability analysis confirmed the accuracy of the network estimations, indicating reliable insights into the psychological interconnections.
conclusionsThese findings indicate that suicidal behavior in university students is a complex, dynamic system shaped by cognitive, emotional, and affective factors. Network analysis, through advanced psychopathological and psychometric models, offers valuable insights into suicidal behavior, improving risk and protective factor assessment. This highlights the need for targeted and comprehensive prevention strategies in educational settings.
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