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Youth Serial Killers: Psychological and Criminological Profiles.

María Elena García-BaamondeMacarena Blázquez-AlonsoJuan Manuel Moreno-MansoEloísa Guerrero-BaronaMónica Guerrero-Molina
Published in: International journal of environmental research and public health (2022)
Serial murder is a specific type of violent crime that falls into the crime category of multicide. According to the nomenclature of the Federal Bureau of Investigation's Violent Crime Classification Manual and Academic Researchers for the Classification of Violent Crimes, most serial killers are adults. However, serial murder is also committed by young people, although to a lesser extent. Young serial killers are a topic of relevance in areas such as psychology, criminology, and the justice system. Given that the study of the variables that could be the basis of such multicide criminality is not conclusive, the need for further research is evident. The homicides perpetrated by children and young people point to a social panorama that is alarming due to their young age. This issue is prevalent enough to conduct a review. The performed review concludes the importance of psychosocial factors to better understand the process by which children and young people commit crimes as serious as serial murders. The scope of the problem of serial murders perpetrated by minors is controversial because it often depends on how the number of real cases is counted. Although official statistics indicate the low prevalence of juvenile serial killers, childhood is a period in which antisocial behaviour can have its beginning. Some authors consider that it is not uncommon for the first murder of this type to occur in adolescence. It is important to consider psychopathy as an influential factor in the various forms of serial criminal conduct committed by children and young people. The research works consulted provide evidence of the special relevance of psychopathy in the generation of serious juvenile delinquency.
Keyphrases
  • young adults
  • mental health
  • machine learning
  • deep learning
  • healthcare
  • risk factors
  • depressive symptoms
  • mental illness
  • early life