Drowning is a public-health threat and a leading cause of injury-related death. In Turkey, drowning results in 900 fatalities annually, and the rate is rising. As data on rescue-related drowning are scarce, this retrospective study explores the epidemiology of fatal drowning among rescuers in Turkey. As there are no routinely collected death registry data on drowning in Turkey, data were sourced from media reports of incidents between 2015 and 2019. Rescuer fatalities were analysed by age, sex, activity prior to rescue, location, incident day of week and season, and place of death. Statistical analyses comprised X tests of significance ( < 0.05) and calculation of relative risk (95% confidence interval) using fatality rates. In total, 237 bystander rescuers drowned (90% male; 35% 15-24 years). In 33% of cases, the primary drowning victim (PDV) was successfully rescued, while in 46% of cases the rescue resulted in multiple drowning fatalities (mean = 2.29; range 1-5 rescuers). Rescues were more likely to be successful in saving the PDV if undertaken at the beach/sea (X = 29.147; < 0.001), while swimming (X = 12.504; = 0.001), or during summer (X = 8.223; = 0.029). Risk of bystander rescue-related fatal drowning was twice as high on weekdays compared to on weekends (RR = 2.04; 95%CI: 1.56-2.67). While bystanders play an important role in reducing drowning, undertaking a rescue is not without risk and can lead to multiple drowning incidents. Training in rescue and resuscitation skills (especially the prioritization of non-contact rescues) coupled with increasing awareness of drowning risk, are risk-reduction strategies which should be explored in Turkey.
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http://dx.doi.org/10.3390/ijerph18126613 | DOI Listing |
Inj Prev
January 2025
Safety Promotion and Injury Prevention Research Center, Department of Epidemiology, Shahid Beheshti University of Medical Sciences School of Public Health and Safety, Tehran, Iran (the Islamic Republic of)
Background: Drowning is a serious and neglected public health threat, and prevention of drowning has a multisectoral nature and requires multidimensional research. Therefore, this study aimed to evaluate the spatio-temporal variation in fatal unintentional drowning rates among the Iranian population from 2005 to 2022.
Methods: In this repeated cross-sectional study, registry data were extracted from legal medicine organisations during 2005-2022.
Front Rehabil Sci
January 2025
iCan Shine, Inc., Miami, FL, United States.
Background: Drowning is a leading cause of death for children. Some populations of children with disabilities, such as children with autism, experience a health disparity in drowning when compared to peers without disabilities.
Objective: This study presents a secondary data analysis of the response to intervention for a 5-day adapted swim instruction program (iCan Swim) for children with disabilities ( = 164 participants) ages 3-18 years.
J Pak Med Assoc
January 2025
Department of Pathology, Armed Forces Institute of Pathology, Rawalpindi, Pakistan.
Objective: To explore the different causes of sudden death among serving government employees.
Methods: The audit study was conducted at the Pathology Department of a tertiary care hospital Combined Military Hospital (CMH) Jhelum, Pakistan, and comprised data of all autopsies between January 2017 and June 2021. Sampling was done by non probability purposive sampling technique which requires no statistical method calculation.
Health Econ
January 2025
Department of Economics, Federal University of Pelotas (UFPEL), Pelotas, Brazil.
The Northeast region of Brazil is characterized by long periods of drought. However, the region is also frequently affected by floods. The socioeconomic characteristics of the locality make the population more vulnerable to the impacts of these disasters.
View Article and Find Full Text PDFUltrasonics
January 2025
Medical Ultrasound Department for the Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China. Electronic address:
Shear Wave Elastography (SWE) is an imaging technique that detects shear waves generated by tissue excited by Acoustic Radiation Force (ARF), and characterizes the mechanical properties of soft tissue by analyzing the propagation velocity of shear wave. ARF induces a change in energy density through the nonlinear propagation of ultrasound waves, which drives the tissue to generate shear waves. However, the amplitude of shear waves generated by ARF is weak, and the shear waves are strongly attenuated in vivo.
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