<p>Previous research suggests a link between substance use and non-suicidal self-injury (NSSI), though the direction of this association remains unclear. This study used network analysis to explore bidirectional relationships between lifetime NSSI behaviors and substance use frequency (alcohol, cannabis, cocaine, and other street drugs), while controlling for sex, age, stress severity, and perceived social support. A total of 9634 university students across 18 institutions in Flanders, Belgium, completed online surveys as part of the Flemish College Students’ Mental Health Survey. Bayesian Gaussian Copula Graphical Models and directed acyclic graphs (DAGs) were used for analysis. Results revealed bidirectional associations between NSSI methods and use of cannabis, cocaine, and other street drugs, while alcohol use was unidirectionally linked to NSSI. More frequent alcohol use predicted engagement in a greater number of NSSI methods. Findings highlight substance-specific pathways between NSSI and substance use, emphasizing the need for targeted campus-based prevention and intervention strategies.</p>

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Unraveling the Network of Relationships Between Non-suicidal Self-Injury and Substance Abuse Among College Students: Findings from the Flemish College Students’ Mental Health Survey

  • Zahra Azadfar,
  • Aurore Roland,
  • Imke Baetens,
  • Kris Baetens,
  • Lisa Van Hove,
  • Elien Heleven,
  • Erik Bootsma,
  • Leontien Jansen

摘要

Previous research suggests a link between substance use and non-suicidal self-injury (NSSI), though the direction of this association remains unclear. This study used network analysis to explore bidirectional relationships between lifetime NSSI behaviors and substance use frequency (alcohol, cannabis, cocaine, and other street drugs), while controlling for sex, age, stress severity, and perceived social support. A total of 9634 university students across 18 institutions in Flanders, Belgium, completed online surveys as part of the Flemish College Students’ Mental Health Survey. Bayesian Gaussian Copula Graphical Models and directed acyclic graphs (DAGs) were used for analysis. Results revealed bidirectional associations between NSSI methods and use of cannabis, cocaine, and other street drugs, while alcohol use was unidirectionally linked to NSSI. More frequent alcohol use predicted engagement in a greater number of NSSI methods. Findings highlight substance-specific pathways between NSSI and substance use, emphasizing the need for targeted campus-based prevention and intervention strategies.