Literature DB >> 18656873

The seasonal relationship between assault and homicide in England and Wales.

Daniel J Rock1, Kevin Judd, Joachim F Hallmayer.   

Abstract

Investigating the seasonal asymmetry of violent behaviour has a long history. Despite this, there still remains considerable debate about the nature and aetiology of this phenomenon. Reports on homicide, for example, are mixed: some have found homicide seasonality but most have not. In contrast, all published studies on assault report that this behaviour is seasonal. Moreover, only two studies, both using US data, have examined the seasonal variation of assault and homicide in the same population over the same period of time. One group found assault was seasonal but homicide was not, whilst the other found, overall, that both homicide and assault were seasonal. This first of these findings seems paradoxical, in that there is no seasonal variation in injury related deaths (i.e. homicides), despite the antecedent behaviour (i.e. assaults) having a seasonal pattern of occurrence. We examined the seasonal variation in homicide and assault in UK and found a similar result. Furthermore, our findings are not easily understandable using conventional social models of seasonal behaviour and we suggest biologically mediated seasonal variation in the capacity of equally injured individuals to survive trauma may also play a role, which should be investigated further.

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Year:  2008        PMID: 18656873     DOI: 10.1016/j.injury.2008.03.025

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  3 in total

1.  Assaults against nurses of general and psychiatric hospitals in Taiwan.

Authors:  Judith Shu-Chu Shiao; Yuntin Tseng; Yueh-Tzu Hsieh; Jui-Yeh Hou; Yawen Cheng; Yueliang Leon Guo
Journal:  Int Arch Occup Environ Health       Date:  2009-12-25       Impact factor: 3.015

2.  Impact of the SIGN head injury guidelines and NHS 4-hour emergency target on hospital admissions for head injury in Scotland: an interrupted times series.

Authors:  Carl Marincowitz; Fiona E Lecky; Eleanor Morris; Victoria Allgar; Trevor A Sheldon
Journal:  BMJ Open       Date:  2018-12-22       Impact factor: 2.692

3.  Prediction of crime occurrence from multi-modal data using deep learning.

Authors:  Hyeon-Woo Kang; Hang-Bong Kang
Journal:  PLoS One       Date:  2017-04-24       Impact factor: 3.240

  3 in total

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