Blood samples were taken from, and interviews were conducted with, 76 persons injured in motor vehicle crashes, and from 126 controls with a home and leisure injury. The analysis was undertaken by modelling the data through conditional logistic regression, controlling for gender- and age-matched variables and other potentially confounding variables, including education and visual acuity. Detectable alcohol levels were associated with a 4.9 relative risk (95% confidence intervals 1.4 to 16.8). The population attributable fraction was about 10% with wide confidence intervals. There was no evidence for a safe threshold in these data. The increased injury risk associated with detectable blood-alcohol levels was disproportionally, albeit non-significantly, elevated among occasional drinkers in comparison to regular drinkers. We conclude that alcohol intake is an important cause of road traffic injuries even in the context of the Mediterranean countries where alcohol is taken in moderation and mainly in the form of wine during meals.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/alcalc/33.5.502 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
COVID-19 Symptoms Only Minutely Influenced by Genes Among Children in a Nationwide Twin Cohort.
Pediatr Infect Dis J
January 2025
From the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: The World Health Organization classified coronavirus disease (COVID-19) as a pandemic by March 11, 2020. Children had a milder disease than adults, and many were asymptomatic. The pandemic could be seen as a natural experiment with several changes, including time spent at home.
View Article and Find Full Text PDFDevelopment and Evaluation of a Mindfulness-Based Mobile Intervention for Perinatal Mental Health: Randomized Controlled Trial.
J Med Internet Res
January 2025
Department of Psychiatry, Catholic Kwandong University International St. Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.
Background: Perinatal mental health problems, such as anxiety, stress, and depression, warrant particularly close monitoring and intervention, but they are often unaddressed in both obstetric and psychiatric clinics, with limited accessibility and treatment resources. Mobile health interventions may provide an effective and more accessible solution for addressing perinatal mental health. Development and evaluation of a mobile mental health intervention specifically for pregnant women are warranted.
View Article and Find Full Text PDFHigh coverage and equitable distribution of COVID-19 vaccine uptake in two vulnerable areas in Bangladesh.
PLOS Glob Public Health
January 2025
CEPED, IRD-Université de Paris, ERL INSERM SAGESUD, Paris, France.
Bangladesh completed a primary series of COVID-19 vaccinations for about 86 individuals per 100 population as of 5 July 2023. However, ensuring higher coverage in vulnerable areas is challenging. We report on the COVID-19 vaccine uptake and associated factors among adults in two vulnerable areas in Bangladesh.
View Article and Find Full Text PDFCharacteristics of ChatGPT users from Germany: Implications for the digital divide from web tracking data.
PLoS One
January 2025
Department of Computer and Information Science, Konstanz University, Konstanz, Baden-Württemberg, Germany.
A major challenge of our time is reducing disparities in access to and effective use of digital technologies, with recent discussions highlighting the role of AI in exacerbating the digital divide. We examine user characteristics that predict usage of the AI-powered conversational agent ChatGPT. We combine behavioral and survey data in a web tracked sample of N = 1376 German citizens to investigate differences in ChatGPT activity (usage, visits, and adoption) during the first 11 months from the launch of the service (November 30, 2022).
View Article and Find Full Text PDFSemi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.
J Am Med Inform Assoc
January 2025
Department of Biomedical Informatics, Columbia University, New York, NY 10032, United States.
Objective: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of PICO entities. This study aims to develop a named entity recognition (NER) model to extract PICO entities with fine granularities.
View Article and Find Full Text PDFWant 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!