Psychosocial Factors Predict the Level of Aggression of People with Drug Addiction: A Machine Learning Approach.
Psychol Health Med
; 27(5): 1168-1175, 2022 06.
Article
in En
| MEDLINE
| ID: mdl-33874841
ABSTRACT
This study aimed to identify the relevant psychosocial factors that can predict the aggression in people with drug addiction. A total of 896 male participants (Meanage = 38.30 years) completed the survey. Gradient boosting regression, a machine learning algorithm, was used to find the relevant psychosocial variables, such as psychological security, psychological capital, interpersonal trust and alexithymia, that may be significantly related to aggressive behavior. Results showed that the five most important factors in the prediction of aggression are interpersonal trust, psychological security, psychological capital, parental conflict and alexithymia. A high level of interpersonal trust, psychological security and psychological capital can predict a low level of aggression in people with drug addiction, while a high level of parental conflict and alexithymia can predict a high level of aggression. Overall, the findings highlight the need to focus interventions according to the relation between these psychosocial factors and aggression in order to decrease violence.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Substance-Related Disorders
/
Aggression
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Humans
/
Male
Language:
En
Journal:
Psychol Health Med
Journal subject:
MEDICINA
/
SERVICOS DE SAUDE
Year:
2022
Type:
Article
Affiliation country:
China