Firearms in major motion pictures, 1995-2004.

J Trauma

Division of General Internal Medicine, University of Colorado at Denver and Health Sciences Center, Denver, Colorado, USA.

Published: March 2009

Background: Firearms are a major cause of injury and death. We sought to determine (1) the prevalence of movie scenes that depicted firearms and verbal firearm safety messages; (2) the context and health outcomes in firearm scenes; and (3) the association between the Motion Picture Association of America ratings and firearm scene characteristics.

Methods: Ten top revenue-grossing motion pictures were selected for each year from 1995 to 2004 in descending order of gross revenues. Data on firearm scenes were collected by movie coders using dual-monitor computer workstations and real-time collection tools.

Results: Seventy of the 100 movies had scenes with firearms and the majority of movies with firearms were rated PG-13. Firearm scenes (N = 624) accounted for 17% of screen time in movies with firearms. Among firearm scenes, crime or illegal activity was involved in 45%, deaths occurred in 19%, and injuries occurred in 12%. A verbal reference to safety was made in 0.8%.

Conclusions: Depictions of firearms in top revenue-grossing movies were common, but safety messages were exceedingly rare. Major motion pictures present an under-used opportunity for education about firearm safety.

Download full-text PDF

Source
http://dx.doi.org/10.1097/TA.0b013e31816142e1DOI Listing

Publication Analysis

Top Keywords

firearm scenes
16
motion pictures
12
firearms major
8
major motion
8
firearm safety
8
safety messages
8
top revenue-grossing
8
movies firearms
8
firearms
7
firearm
7

Similar Publications

Objective: To describe changes in patient and encounter characteristics among Emergency Medical Services (EMS) responses for patients ages 0-19 with firearm-related injuries.

Methods: This retrospective national analysis used data from the 2018-2022 ESO Data Collaborative and included all 9-1-1 records for patients ages 0-19 years with documentation of firearm-related injuries. Percent changes are reported; annual changes were evaluated using a non-parametric test of trend.

View Article and Find Full Text PDF

Firearm-related scenarios can be highly complex, involving multiple shooters, firearms, types of ammunition, victims, and various impact zones. Obtaining the maximum amount of information to connect each piece of the puzzle is crucial for resolving these cases. Currently, new tools are being developed in the forensic field that facilitate both fieldwork and laboratory analysis, enabling the estimation of trajectories, identification of shooters, and more.

View Article and Find Full Text PDF

Relationship between state anxiety, heart rate variability, and shooting performance in adolescent shooters.

BMC Psychol

December 2024

College of Physical Education, Research Centre for Exercise Detoxification, Southwest University, No.2 Tiansheng Road, Beibei District, Chongqing, 400715, People's Republic of China.

Objective: By comparing the differences in pre-competition state anxiety, inter-competition heart rate variability (HRV), and shooting performance of young athletes of different grades, and revealing the correlation between these variables, it provides a potential basis for improving athletes' shooting performance.

Methods: A total of 45 adolescent shooters were selected in Chongqing, China, and completed 40 effective shots at self-pace in real shooting scenes. The pre-competition state anxiety, inter-competition HRV, and shooting performance of the athletes were monitored and evaluated respectively.

View Article and Find Full Text PDF

On the influence of artificially distorted images in firearm detection performance using deep learning.

PeerJ Comput Sci

October 2024

Department of Computer Science and Statistics, Universidad Rey Juan Carlos, Mostoles, Madrid, Spain.

Detecting people carrying firearms in outdoor or indoor scenes usually identifies (or avoids) potentially dangerous situations. Nevertheless, the automatic detection of these weapons can be greatly affected by the scene conditions. Commonly, in real scenes these firearms can be seen from different perspectives.

View Article and Find Full Text PDF

ce proliferation of audio sensors in surveillance, smartphones, and numerous devices has made gunshots-based event detection and forensic analysis critical for prompt police action and crime scene reconstruction. This paper initiates an analysis of the acoustic characteristics of gunshots and the variables affecting them, assessing their applicability and limitations in forensic science. It follows with a comprehensive review of existing literature on gunshots detection, identification, and classification technologies, detailing the critical components of machine learning applications, including dataset construction, feature extraction, and classifier selection.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!