Purpose: A systematic review of the literature was conducted to appraise the evidence from epidemiological studies of crash risk in young drivers accompanied by passengers, compared with solo driving.
Methods: Databases searched were the Cochrane Library, Embase, Scopus, Transportation Research Information Services, and Web of Science for studies published between January 1, 1989 and August 1, 2013. Epidemiological studies were selected for review if they focused on crashes of young drivers (≤24 years old) and included both a no-passenger comparison group and some measure of exposure to enable calculation of estimates.
Results: Fifteen articles (17 studies) were selected; seven studies reported on fatal crashes and 10 on nonfatal or combined fatal/nonfatal crashes. Studies on fatal crashes showed increased risk, compared with solo driving, for young drivers with at least one passenger (significant estimates ranging from 1.24 to 1.89) and two or more passengers versus solo driving (1.70-2.92). Increased risk was also found for fatal crashes and for combined or nonfatal crashes with male versus female passengers (1.53-2.66) and for younger versus older drivers (1.42-3.14).
Conclusions: Results more clearly indicated an increased risk for passenger presence in fatal crashes than that in nonfatal or combined fatal/nonfatal crashes. Findings of this review, based on correlational studies, support licensing policies that limit the presence and number of young passengers for young drivers.
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http://dx.doi.org/10.1016/j.jadohealth.2015.03.010 | DOI Listing |
Genes Brain Behav
February 2025
Département de Readaptation et gériatrie, University of Geneva, Geneva, Switzerland.
Human microbiota-associated murine models, using fecal microbiota transplantation (FMT) from human donors, help explore the microbiome's role in diseases like Alzheimer's disease (AD). This study examines how gut bacteria from donors with protective factors against AD influence behavior and brain pathology in an AD mouse model. Female 3xTgAD mice received weekly FMT for 2 months from (i) an 80-year-old AD patient (AD-FMT), (ii) a cognitively healthy 73-year-old with the protective APOEe2 allele (APOEe2-FMT), (iii) a 22-year-old healthy donor (Young-FMT), and (iv) untreated mice (Mice-FMT).
View Article and Find Full Text PDFBMJ Open
January 2025
General Practice and Primary Health Care, University of Auckland, Auckland, New Zealand.
Objectives: To explore the perspectives of Māori and Pacific women who participated in the Fish Oil study to ascertain what barriers and facilitators may exist for successfully recruiting Māori and Pacific women into clinical trials.
Design: A Kaupapa Māori qualitative study.
Setting: Auckland, New Zealand.
Int J Mol Sci
December 2024
Systems Biology Laboratory for Metabolic Reprogramming, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.
Cancer occurrence rates exhibit diverse age-related patterns, and understanding them may shed new and important light on the drivers of cancer evolution. This study systematically analyzes the age-dependent occurrence rates of 23 carcinoma types, focusing on their age-dependent distribution patterns, the determinants of peak occurrence ages, and the significant difference between the two genders. According to the SEER reports, these cancer types have two types of age-dependent occurrence rate (ADOR) distributions, with most having a unimodal distribution and a few having a bimodal distribution.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Department of Food Science and Nutrition, Kyungpook National University, Daegu 41566, Republic of Korea.
Hum Vaccin Immunother
December 2025
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Focusing on vaccines available to adults and not in the immunization schedule, this study investigates the preferences and factors influencing adults in selecting vaccination clinic locations. It aims to provide strategic insights for boosting vaccination rates by analyzing adults' decision-making factors. This contributes to developing more efficient, patient-focused vaccination strategies that tackle vaccine hesitancy and improve access to vaccination sites.
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