Linking genetic and aggression factors with criminal behaviour: a systematic review
A substantial body of literature has suggested that biology and personality traits play a major role in predicting antisocial behaviour. Thus, the purpose of this article is to review the link between genetic and aggression factors with criminal behaviour. A systematic review was conducted to obtain...
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2019
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| Online Access: | http://journalarticle.ukm.my/14041/ http://journalarticle.ukm.my/14041/ http://journalarticle.ukm.my/14041/1/457-1829-1-PB.pdf |
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ukm-14041 |
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eprints |
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ukm-140412020-01-24T09:20:35Z http://journalarticle.ukm.my/14041/ Linking genetic and aggression factors with criminal behaviour: a systematic review N.K. Tharshini, A substantial body of literature has suggested that biology and personality traits play a major role in predicting antisocial behaviour. Thus, the purpose of this article is to review the link between genetic and aggression factors with criminal behaviour. A systematic review was conducted to obtain relevant information regarding biological and psychological perspective on criminality in Sage, Elsevier and Google Scholar database. The results indicate that moderate-to-large number of variance in criminal behaviour is ascribed to genetic and aggressive factors. As an overall impact, the study provided implications to the concerned parties regarding the interpersonal elements that trigger antisocial behaviour hence a preventive measure to assist at-risk group can be initiated soon. Penerbit Universiti Kebangsaan Malaysia 2019 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/14041/1/457-1829-1-PB.pdf N.K. Tharshini, (2019) Linking genetic and aggression factors with criminal behaviour: a systematic review. Jurnal Psikologi Malaysia, 33 (1). pp. 89-101. ISSN 2289-8174 http://spaj.ukm.my/ppppm/jpm/issue/view/35 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Kebangasaan Malaysia |
| building |
UKM Institutional Repository |
| collection |
Online Access |
| language |
English |
| description |
A substantial body of literature has suggested that biology and personality traits play a major role in predicting antisocial behaviour. Thus, the purpose of this article is to review the link between genetic and aggression factors with criminal behaviour. A systematic review was conducted to obtain relevant information regarding biological and psychological perspective on criminality in Sage, Elsevier and Google Scholar database. The results indicate that moderate-to-large number of variance in criminal behaviour is ascribed to genetic and aggressive factors. As an overall impact, the study provided implications to the concerned parties regarding the interpersonal elements that trigger antisocial behaviour hence a preventive measure to assist at-risk group can be initiated soon. |
| format |
Article |
| author |
N.K. Tharshini, |
| spellingShingle |
N.K. Tharshini, Linking genetic and aggression factors with criminal behaviour: a systematic review |
| author_facet |
N.K. Tharshini, |
| author_sort |
N.K. Tharshini, |
| title |
Linking genetic and aggression factors with criminal behaviour: a systematic review |
| title_short |
Linking genetic and aggression factors with criminal behaviour: a systematic review |
| title_full |
Linking genetic and aggression factors with criminal behaviour: a systematic review |
| title_fullStr |
Linking genetic and aggression factors with criminal behaviour: a systematic review |
| title_full_unstemmed |
Linking genetic and aggression factors with criminal behaviour: a systematic review |
| title_sort |
linking genetic and aggression factors with criminal behaviour: a systematic review |
| publisher |
Penerbit Universiti Kebangsaan Malaysia |
| publishDate |
2019 |
| url |
http://journalarticle.ukm.my/14041/ http://journalarticle.ukm.my/14041/ http://journalarticle.ukm.my/14041/1/457-1829-1-PB.pdf |
| first_indexed |
2023-09-18T20:06:12Z |
| last_indexed |
2023-09-18T20:06:12Z |
| _version_ |
1777407174925877248 |