Clinical and psychological predictors of non-suicidal self-injurious behavior in individuals of draft age with addictive disorders

Objective. To examine the types of addictive disorders and the prevalence of non-suicidal self-injurious behavior (NSIB) among individuals of military age, while identifying clinical and psychological predictors of non-suicidal self-injuries. Material and methods. In total, 138 young individuals of military age (18—30 years, median age 25.5 years) diagnosed with addictive disorders were assessed. Several clinical, psychopathological, and psychometric assessment tools were utilized, including the Five Factor Personality Questionnaire (5PFQ), the Buss and Perry Aggression Questionnaire (BPAQ), the Beck Anxiety Inventory (Beck-A), the Beck Depression Inventory (Beck-D), and the Self-Injurious Behavior Questionnaire. The statistical analysis included χ2 tests, the Mann—Whitney U test, and multiple logistic regression. Results. The prevalence of NSIB in the clinical group was 37.7%. The types of addictive disorders included F10.2 (26%), F19.2 (21%), F11.2 (13.7%), F12.1 (12.4%), F19.1 (8.7%), and F10.1 (5.8%). Individuals with NSIB demonstrated an earlier onset of substance use, elevated scores on anxiety and depression scales, increased aggression, low self-esteem, and a distinct personality profile characterized by high neuroticism and low conscientiousness. The logistic regression model identified several clinical and psychological predictors of NSIB: neuroticism (odds ratio [OR]=1.63), suicidal ideation (OR=4.00), anxiety levels (OR=1.11), early onset of substance use (OR=0.83), dysfunctional family relationships (OR=2.64), and the specific nature of the addiction (polydrug addiction; OR=2.44). This model explains 49.6% of the variability (Nagelkerke R2). Conclusions. Self-destructive behavior among individuals of military age with addictive disorders serves as an indicator of a severe comorbid course and is associated with a specific personality profile, elevated affective tension, and a negative family environment. The identified predictors highlight the need for proactive screening for NSIB and the development of targeted programs to address emotional regulation and impulsivity in this clinical population.

Authors

Institutions

Publication Details

Journal
S S Korsakov Journal of Neurology and Psychiatry
Published
2026-06-26
DOI
https://doi.org/10.17116/jnevro202612606171
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical and psychological predictors of non-suicidal self-injurious behavior in individuals of draft age with addictive disorders

В.Д. Евсеев, S. V. Kadochnikova, А.И. Мандель, Nikolay A. Bokhan
S S Korsakov Journal of Neurology and Psychiatry
Suicide and Self-Harm Studies
article

Clinical and psychological predictors of non-suicidal self-injurious behavior in individuals of draft age with addictive disorders

В.Д. Евсеев, S. V. Kadochnikova, А.И. Мандель, Nikolay A. Bokhan
article en

Abstract

Objective. To examine the types of addictive disorders and the prevalence of non-suicidal self-injurious behavior (NSIB) among individuals of military age, while identifying clinical and psychological predictors of non-suicidal self-injuries. Material and methods. In total, 138 young individuals of military age (18—30 years, median age 25.5 years) diagnosed with addictive disorders were assessed. Several clinical, psychopathological, and psychometric assessment tools were utilized, including the Five Factor Personality Questionnaire (5PFQ), the Buss and Perry Aggression Questionnaire (BPAQ), the Beck Anxiety Inventory (Beck-A), the Beck Depression Inventory (Beck-D), and the Self-Injurious Behavior Questionnaire. The statistical analysis included χ2 tests, the Mann—Whitney U test, and multiple logistic regression. Results. The prevalence of NSIB in the clinical group was 37.7%. The types of addictive disorders included F10.2 (26%), F19.2 (21%), F11.2 (13.7%), F12.1 (12.4%), F19.1 (8.7%), and F10.1 (5.8%). Individuals with NSIB demonstrated an earlier onset of substance use, elevated scores on anxiety and depression scales, increased aggression, low self-esteem, and a distinct personality profile characterized by high neuroticism and low conscientiousness. The logistic regression model identified several clinical and psychological predictors of NSIB: neuroticism (odds ratio [OR]=1.63), suicidal ideation (OR=4.00), anxiety levels (OR=1.11), early onset of substance use (OR=0.83), dysfunctional family relationships (OR=2.64), and the specific nature of the addiction (polydrug addiction; OR=2.44). This model explains 49.6% of the variability (Nagelkerke R2). Conclusions. Self-destructive behavior among individuals of military age with addictive disorders serves as an indicator of a severe comorbid course and is associated with a specific personality profile, elevated affective tension, and a negative family environment. The identified predictors highlight the need for proactive screening for NSIB and the development of targeted programs to address emotional regulation and impulsivity in this clinical population.

S S Korsakov Journal of Neurology and PsychiatryVol. 126(6)
Siberian State Medical University (RU), Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences (RU), Tomsk National Research Medical Center (RU), State Healthcare Institution "Regional Clinical Oncological Dispensary" (RU)
Good health and well-being
Openalex Percentile: Top 5%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.