Purpose: Because many sports concussions happen during school-sponsored sports events, most state concussion laws specifically hold schools accountable for coach training and effective concussion management practices. Brain 101: The Concussion Playbook is a Web-based intervention that includes training in sports concussion for each member of the school community, presents guidelines on creating a concussion management team, and includes strategies for supporting students in the classroom.
Methods: The group randomized controlled trial examined the efficacy of Brain 101 in managing sports concussion. Participating high schools (N = 25) were randomly assigned to the Brain 101 intervention or control. Fall athletes and their parents completed online training, and Brain 101 school administrators were directed to create concussion management policy and procedures.
Results: Student athletes and parents at Brain 101 schools significantly outperformed those at control schools on sports concussion knowledge, knowledge application, and behavioral intention to implement effective concussion management practices. Students who had concussions in Brain 101 schools received more varied academic accommodations than students in control schools.
Conclusions: Brain 101 can help schools create a comprehensive schoolwide concussion management program. It requires minimal expenditures and offers engaging and effective education for teachers, coaches, parents, and students.
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http://dx.doi.org/10.1016/j.jadohealth.2014.08.011 | DOI Listing |
Foods
January 2025
School of Public Health, Health Science Center, Ningbo University, Ningbo 315211, China.
Alzheimer's disease (AD) is marked by impaired cognitive functions, particularly in learning and memory, owing to complex and diverse mechanisms. Methionine restriction (MR) has been found to exert a mitigating effect on brain oxidative stress to improve AD. However, the bidirectional crosstalk between the gut and brain through which MR enhances learning and memory in AD, as well as the effects of fecal microbiota transplantation (FMT) from MR mice on AD mice, remains underexplored.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Clinical Laboratory, School of Medicine, International University of Health and Welfare, Otawara 324-8501, Japan.
Intrauterine growth restriction (IUGR) is a risk factor for postnatal cardiovascular, metabolic, and psychiatric disorders. In most IUGR models, placental dysfunction that causes reduced 11β-hydroxysteroid dehydrogenase 2 (11βHSD2) activity, which degrades glucocorticoids (GCs) in the placenta, resulting in fetal GC overexposure. This overexposure to GCs continues to affect not only intrauterine fetal development itself, but also the metabolic status and neural activity in adulthood through epigenetic changes such as microRNA change, histone modification, and DNA methylation.
View Article and Find Full Text PDFAlzheimers Res Ther
January 2025
School of Medicine, South China University of Technology, Guangzhou, China.
Background: Epidemiological and genetic studies have elucidated associations between antihypertensive medication and Alzheimer's disease (AD), with the directionality of these associations varying upon the specific class of antihypertensive agents.
Methods: Genetic instruments for the expression of antihypertensive drug target genes were identified using expression quantitative trait loci (eQTL) in blood, which are associated with systolic blood pressure (SBP). Exposure was derived from existing eQTL data in blood from the eQTLGen consortium and in the brain from the PsychENCODE and subsequently replicated in GTEx V8 and BrainMeta V2.
Sci Rep
January 2025
Department of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
Health-related behavioral changes may occur following traumatic brain injury. We focused on understanding the impact of mild traumatic brain injury (TBI) on health-related behaviors and identifying factors associated with such changes. We utilized health check-up records from the Korean National Health Insurance Service database spanning January 1, 2009, to December 31, 2017.
View Article and Find Full Text PDFMed Image Anal
December 2024
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA; Department of Neuroscience and Biomedical Engineering, Aalto University, Finland; Department of Computer Science, Aalto University, Finland.
Recent years have seen a growing interest in methods for predicting an unknown variable of interest, such as a subject's diagnosis, from medical images depicting its anatomical-functional effects. Methods based on discriminative modeling excel at making accurate predictions, but are challenged in their ability to explain their decisions in anatomically meaningful terms. In this paper, we propose a simple technique for single-subject prediction that is inherently interpretable.
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