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.0b013e31816142e1 | DOI Listing |
Am J Emerg Med
January 2025
ESO, Inc, Austin, TX, United States of America.
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.
Forensic Sci Int
December 2024
Ballistics Section of the Spanish Scientific Police Headquarters (National Police), Julián González Segador s/n, Madrid, Spain; Instituto Universitario de Investigación en Ciencias Policiales (IUICP), Universidad de Alcalá, Alcalá de Henares, Madrid, Spain.
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 PDFBMC 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.
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 PDFSci Justice
November 2024
Benxi Judicial Appraisal Institution, Benxi Liaoning, China.
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 PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!