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Unintentional water-related deaths are an ongoing global problem, despite being named by the United Nations as one of the leading preventable causes of death. To address the need for enhanced analysis of drowning risk factors, including demographic and situational conditions that may influence death outcomes, this research involved a three-phase multimodal risk assessment by utilizing unintentional water-related death records (n = 5105) from all Canadian provinces and territories from Jan 2006 to Dec 2016, census boundaries, hydrological shape files, and spectrum management data on all cellular towers. These were all accidental fatalities, where decedent demographics, situational case factors, and environmental conditions are known, including whether a rescue attempt occurred. It is believed that those who had a rescue attempt were better situated to have favorable outcomes but were unable to survive. Binary logistic regression shows that Indigenous persons experience 1.9× greater risk of not being rescued. Alcohol involvement doubled the risk of not being rescued. Differences in rescue likelihood by age were observed for youth, where there are greater expectations of guardianship. Results highlight the risk of being alone, and minors were found to be ineffectual interveners. Perimortem activities also show how many of these deaths involved unintentional water entry. Seasonal and temporal analyses reveal risky peak times during evenings and weekends and demonstrate the importance of per capita calculations in comparing risk between differently sized populations. Last, a novel approach was devised to stratify risk based on the probability of accessing cellular reception for emergency medical services at drowning locations.
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http://dx.doi.org/10.1111/1556-4029.70153 | DOI Listing |
J Safety Res
September 2025
Department of Biological and Agricultural Engineering, University of California, Davis, CA, USA.
Introduction: All-terrain vehicles (ATVs) contribute significantly to fatalities and injuries among young individuals. This is despite the availability of youth-sized ATVs in the market, suggesting that these vehicles may not be as suitable for young riders as their name implies. This study aims to assess the suitability of youth-sized ATVs for their intended demographic.
View Article and Find Full Text PDFCien Saude Colet
August 2025
Instituto Fernandes Figueira, Fundação Oswaldo Cruz. Av. Rui Barbosa 716, Flamengo. 22250-020 Rio de Janeiro RJ Brasil.
The impact of the COVID-19 pandemic on women was severe. In sexual and reproductive health, it led to an increase in maternal deaths among black women. This study sought to analyze access and quality of care for pregnant and postpartum women during the pandemic.
View Article and Find Full Text PDFPLoS One
September 2025
College of Teachers, Chengdu University, Chengdu, China.
Background: The implementation of crisis response strategies, such as natural hazards, pandemics, and conflicts, is necessary during times of emergency. Despite the importance of these interventions, mental health outcomes in emergency situations remain poorly understood. There is a lack of research on the comparative effectiveness of different interventions.
View Article and Find Full Text PDFGesundheitswesen
September 2025
Klinik für Rehabilitations- und Sportmedizin, Medizinische Hochschule Hannover, Hannover, Deutschland.
The study addresses the gap in rehabilitation care of people with cognitive and/or multiple Impairments. Conventional medical care structures are often insufficiently adapted to the needs of this patient group. In this project, the rehabilitative care gap is practically closed with a social space-oriented rehabilitation concept for people with cognitive and/or multiple Impairments and to create sustainable solutions.
View Article and Find Full Text PDFBMJ Public Health
September 2025
Affiliated to Wenzhou Medical University, Evidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Linhai, China.
Objective: The aim of this study is to analyse the factors affecting medical burnout in hospitals, identify the characteristics of staff experiencing high levels of burnout and devise a practical and sustainable prediction mechanism.
Methods: A survey was conducted to access the current situation, followed by a regression analysis using data from the Maslach Burnout Inventory General Survey, demographic information related to healthcare personnel and employee job satisfaction metrics from the hospitals under study. Subsequently, four predictive models-logistic regression, K-nearest neighbour, decision tree and random forest (RF)-were employed to predict the degree of healthcare burnout.