Silent Struggles: Traumatic Brain Injuries and Mental Health in Law Enforcement.

OBJECTIVE: To determine the prevalence of head injuries (HIs), posttraumatic stress disorder (PTSD), and depressive symptoms in law enforcement officers (LEOs) and (2) the association between HIs and psychological health conditions. SETTING: County-level survey administered via Research Electronic Data Capture. PARTICIPANTS: A total of 381 LEOs completed the survey (age = 43 ± 11 years; 40 [11%] females; time as LEO = 1-50 years, median = 15 years). DESIGN: Cross-sectional study. MAIN MEASURES: We examined the prevalence of HIs (the Ohio State University Traumatic Brain Injury Identification Method), PTSD (PTSD Checklist-Civilian [PCL-C]), and depressive symptoms (Patient Health Questionnaire-9 [PHQ-9]). We used Mann-Whitney U and chi-square analyses to compare PTSD and depressive symptoms between those with and without a HI history. RESULTS: There were 282 (74%) participants who reported a lifetime history of 1 or more HIs; 116 (30%) sustained 1 or more HIs on the job. PCL-C scores ranged 17 to 85 (median = 27); 33 (10%) participants met or exceeded the clinical cutoff score of 50 to indicate a positive PTSD screening. Participants with a HI history (median = 29) had higher PCL-C scores than those with no HI history (median = 24; P < .001), but the proportion of participants who met the clinical cutoff for PTSD was not different between those with (n = 28, 11%) and without (n = 5, 5%) a HI history (X2 = 2.52, P = .112, odds ratio = 2.18; 95% confidence interval, 0.82-5.83). PHQ-9 scores ranged 0 to 20 (median = 3); 124 (36%) participants reported mild or greater depressive symptoms. Participants with a HI history (median = 3) had higher depressive symptoms than those with no HI history (median = 2; P = .012). The proportion of participants with mild or greater depressive symptoms was higher among those with a HI history (n = 99, 39%) than without (n = 25, 27%; X2 = 4.34, odds ratio = 1.74; 95% confidence interval, 1.03-2.93). CONCLUSION: HIs are prevalent in LEOs, which may have consequences for their performance, well-being, and career longevity. PTSD and depressive symptoms are higher in those with a HI history, suggesting LEOs need better traumatic brain injuries and mental health resources.

Functional implications of glycans and their curation: insights from the workshop held at the 16th Annual International Biocuration Conference in Padua, Italy.

Dynamic changes in protein glycosylation impact human health and disease progression. However, current resources that capture disease and phenotype information focus primarily on the macromolecules within the central dogma of molecular biology (DNA, RNA, proteins). To gain a better understanding of organisms, there is a need to capture the functional impact of glycans and glycosylation on biological processes. A workshop titled "Functional impact of glycans and their curation" was held in conjunction with the 16th Annual International Biocuration Conference to discuss ongoing worldwide activities related to glycan function curation. This workshop brought together subject matter experts, tool developers, and biocurators from over 20 projects and bioinformatics resources. Participants discussed four key topics for each of their resources: (i) how they curate glycan function-related data from publications and other sources, (ii) what type of data they would like to acquire, (iii) what data they currently have, and (iv) what standards they use. Their answers contributed input that provided a comprehensive overview of state-of-the-art glycan function curation and annotations. This report summarizes the outcome of discussions, including potential solutions and areas where curators, data wranglers, and text mining experts can collaborate to address current gaps in glycan and glycosylation annotations, leveraging each other's work to improve their respective resources and encourage impactful data sharing among resources. Database URL: https://wiki.glygen.org/Glycan_Function_Workshop_2023.

A Framework for Concussion Management Strategies in Law Enforcement Officers.

Athletic trainers are increasingly utilized in non-traditional settings, such as in law enforcement, where they can contribute to healthcare management, including concussion management of law enforcement officers (LEOs). Despite the prevalence of concussions among LEOs, there is a notable gap in concussion management guidelines for this population. LEOs may lack the education and resources necessary for concussion recognition and proper management. Drawing on advancements in concussion management in athletes and military personnel, here we present a comprehensive framework for concussion management in LEOs encompassing concussion education, a graduated return to duty (RTD) protocol, and considerations for implementation and documentation specific to law enforcement. We also present several barriers and facilitators to implementation. Due to job requirements, it is critical for law enforcement organizations and their medical providers to adopt a concussion management strategy. Without proper concussion management, LEOs may risk subsequent injury and/or suffer from prolonged recovery and adverse long-term outcomes.

ScSNViz: a user-friendly toolset for visualization and analysis of Cell-Specific Expressed SNVs.

Motivation: Understanding genetic variation at the single-cell level is crucial for insights into cellular heterogeneity, clonal evolution, and gene expression regulation, but there is a scarcity of tools for visualizing and analyzing cell-level genetic variants. Results: We introduce scSNViz, a comprehensive R-based toolset for visualization and analysis of cell-specific expressed Single Nucleotide Variants (sceSNVs) within cell-barcoded single-cell RNA-sequencing (scRNA-seq) data. ScSNViz offers 3D sceSNV visualization capabilities for dimensionally reduced scRNA-seq gene expression data, compatibility with popular scRNA-seq processing tools like Seurat, cell-type classification tools such as SingleR and scType, and trajectory inference computation using Slingshot. Furthermore, scSNViz conducts estimation, summary, and graphical representation of statistical metrics pertaining to sceSNVs distribution and expression across individual cells. It also provides support for the analysis of individual sceSNVs as well as sets comprising multiple expressed sceSNVs of interest. Availability: ScSNViz is implemented as user-friendly R-scripts, freely available on https://horvathlab.github.io/NGS/scSNViz , supported by help utilities, and requiring no specialized bioinformatics skills for use.

Normative Performance Profiles of College Aged Esport Athletes in a Pilot Study.

Aims: This study aimed to holistically assess the physical and cognitive attributes of esport athletes. Methods and Results: Forty-six adults between 18 and 32 years old with experience playing videogames were enrolled in this study. Participants completed assessments in five areas: demographics, self-report questionnaires, cognitive performance, physical performance, and gaming performance. Participants self-reported Overwatch ranking and physical activity participation (Pediatric Physical Activity Measure), and grip strength was measured with a handheld dynamometer. Seven domains of physical, mental, and social health and well-being were measured with the Patient Reported Outcomes Measurement Information System (PROMIS-29). The List Sorting Working Memory Test and Picture Sequence Memory Test from the National Institutes of Health (NIH) Toolbox Cognition Batteries were used to measure cognitive performance. Finally, esports performance was measured using a series of tasks through Alienware Academy and AIM Booster to record accuracy, reaction time, and targets hit. Participants were separated into high and low ranking groups for comparisons. This sample of esport athletes was similar to the general population for grip strength, each of the PROMIS-29 metrics, the List Sorting Working Memory Test, and the Picture Sequence Memory Test. Reaction time was the variable with the only significant difference between ranking groups. Conclusion: This study represents a primary investigation of esport athletes using a holistic approach. By incorporating physical and cognitive components, the most important factors to esport athletes' health and performance can be better understood and applied.