Research Article

in

Battered Police: Risk Factors for Violence Against Law Enforcement Officers

Have access already?

Get access to this article:

Or get access to the particular issue:

Or get access to the entire journal:

Advertisement

Abstract

Although we hear more about violence committed by the police, violence against police officers is also a major problem in the United States. Using data collected from the Orlando, Florida Police Department files, this study examines situational variables, offender characteristics, and officer demographics that may correlate with violence directed at law enforcement officers. Logistic regression results indicate that battery against one or more police officers is significantly more likely when multiple officers are involved, when offenders are women, when offenders are larger than average as measured by body mass index (BMI), and when offenders are known to have recently consumed alcohol. We close with a discussion of policy implications and directions for future research.

Article usage
Article Usage
Period Abstract Full PDF Total
Apr 2024 14 1 0 15
Mar 2024 38 1 1 40
Feb 2024 39 0 0 39
Jan 2024 29 0 0 29
Dec 2023 29 1 0 30
Nov 2023 49 1 0 50
Oct 2023 31 3 1 35
Sep 2023 41 0 0 41
Aug 2023 43 0 0 43
Jul 2023 28 0 0 28
Jun 2023 39 0 0 39
May 2023 59 2 1 62
Apr 2023 60 3 3 66
Mar 2023 76 4 4 84
Feb 2023 22 0 1 23
Jan 2023 166 1 1 168
Dec 2022 32 0 1 33
Nov 2022 53 5 7 65
Oct 2022 38 0 2 40
Sep 2022 18 0 0 18
Aug 2022 44 1 0 45
Jul 2022 32 0 0 32
Jun 2022 44 0 0 44
May 2022 64 3 4 71
Apr 2022 101 1 3 105
Mar 2022 70 6 7 83
Feb 2022 75 6 7 88
Jan 2022 31 2 0 33
Dec 2021 32 0 0 32
Nov 2021 67 2 2 71
Oct 2021 32 0 1 33
Sep 2021 56 0 1 57
Aug 2021 23 2 1 26
Jul 2021 18 0 0 18
Jun 2021 34 0 0 34
May 2021 38 0 1 39
Apr 2021 78 1 1 80
Mar 2021 120 3 4 127
Feb 2021 99 1 1 101
Jan 2021 57 0 0 57
Dec 2020 46 2 1 49
Nov 2020 46 0 0 46
Oct 2020 74 2 0 76
Sep 2020 49 4 3 56
Aug 2020 43 2 1 46
Jul 2020 56 1 1 58
Jun 2020 237 1 0 238
May 2020 77 2 2 81
Apr 2020 106 1 0 107
Mar 2020 67 2 2 71
Feb 2020 94 5 1 100
Jan 2020 43 1 0 44
Dec 2019 43 3 3 49
Nov 2019 77 3 3 83
Oct 2019 51 2 0 53
Sep 2019 7 0 0 7
Aug 2019 4 0 0 4
Jul 2019 16 0 0 16
Jun 2019 8 0 0 8
May 2019 8 1 0 9
Apr 2019 26 2 0 28
Mar 2019 52 2 1 55
Feb 2019 11 1 1 13
Jan 2019 5 0 0 5
Dec 2018 8 0 1 9
Nov 2018 16 2 0 18
Oct 2018 12 0 0 12
Sep 2018 6 0 2 8
Aug 2018 3 0 0 3