Epidemiologic studies have identified differences in concussion incidence between the sexes. However, few authors to date have updated injury rates (IRs) and time loss between male and female concussed athletes.Context: To examine sex differences in IRs and time loss in concussed National Collegiate Athletic Association (NCAA) athletes.Objective: Descriptive epidemiologic study.Design: National Collegiate Athletic Association athletics.Setting: A total of 1702 concusssed NCAA athletes, consisting of 903 females and 779 males participating in soccer, basketball, ice hockey, lacrosse, softball, or baseball over a 5-year period from 2004–2005 through 2008–2009.Patients or Other Participants: Using the NCAA Injury Surveillance Program, athletic trainers reported concussions, athlete-exposures (AEs), and time loss across 10 NCAA sports. An IR is the number of injuries in a particular category divided by the number of AEs in that category.Main Outcome Measure(s): During the study period, 1702 concussions were reported during 4 170 427 AEs for an overall total of 5.47 per 10 000 AEs. In sex-comparable sports, females had a 1.4 times higher overall concussion IR than males (IRs = 4.84 and 3.46, respectively), with greater rates in women's baseball/softball, basketball, ice hockey, and soccer than men. Female soccer and basketball players also displayed more time loss after concussion compared with male basketball and soccer players.Results: Female athletes sustained a higher rate of concussion and, in all sports except lacrosse, had greater time loss from concussion than male athletes. Additional research is needed on sex differences in time loss after concussions.Conclusions:

Concussed athletes with a history of ≥3 concussions take longer to recover than athletes with 1 or no previous concussion. Future research should concentrate on validating the new symptom clusters on multiple concussed athletes, examining longer recovery times (ie, >8 days) among athletes with multiple concussions.

White athletes had more concussion knowledge than African-American athletes; however, African-Americans that had access to an athletic trainer at their respective school were more likely to identify the signs and symptoms of concussion compared to African-Americans that did not have access to an athletic trainer. This further accentuates the health disparity that occurs in high school athletics, in regard to the presence of an athletic trainer and their influence on an athlete's health and safety.

The current findings provide preliminary support for the implementation of VOMS baseline assessment into clinical practice, due to a high internal consistency, strong relationships between VOMS items, and a low false-positive rate at baseline in youth athletes.

The discordance between genome size and the complexity of eukaryotes can partly be attributed to differences in repeat density. The Muller F element (∼5.2 Mb) is the smallest chromosome in Drosophila melanogaster, but it is substantially larger (>18.7 Mb) in D. ananassae. To identify the major contributors to the expansion of the F element and to assess their impact, we improved the genome sequence and annotated the genes in a 1.4-Mb region of the D. ananassae F element, and a 1.7-Mb region from the D element for comparison. We find that transposons (particularly LTR and LINE retrotransposons) are major contributors to this expansion (78.6%), while Wolbachia sequences integrated into the D. ananassae genome are minor contributors (0.02%). Both D. melanogaster and D. ananassae F-element genes exhibit distinct characteristics compared to D-element genes (e.g., larger coding spans, larger introns, more coding exons, and lower codon bias), but these differences are exaggerated in D. ananassae. Compared to D. melanogaster, the codon bias observed in D. ananassae F-element genes can primarily be attributed to mutational biases instead of selection. The 5′ ends of F-element genes in both species are enriched in dimethylation of lysine 4 on histone 3 (H3K4me2), while the coding spans are enriched in H3K9me2. Despite differences in repeat density and gene characteristics, D. ananassae F-element genes show a similar range of expression levels compared to genes in euchromatic domains. This study improves our understanding of how transposons can affect genome size and how genes can function within highly repetitive domains.

Context: Although social support has been reported to be a factor that increases retention of athletic trainers in their profession, there is a lack of literature examining the specific relationship of social support satisfaction and its predictive influence on stress and depression among athletic training students. Objective: To determine which sources of social support were perceived to be the most salient and ascertain whether social support satisfaction can predict stress and depression among athletic training students. Design: Cross-sectional study. Setting: Nine Commission on Accreditation of Athletic Training Education–accredited professional athletic training programs. Patients or Other Participants: A total of 204 athletic training students from Commission on Accreditation of Athletic Training Education–accredited athletic training programs were included in this study. Main Outcome Measure(s): Participants completed the Perceived Stress Scale, Center for Epidemiologic Studies Depression Scale, and the Social Support Questionnaire. Results: Social Support Satisfaction significantly predicted overall perceived stress (P = .010) and depression (P < .001). Satisfaction of support from family (P = .043) and other athletic trainers (P = .011) were significant predictors of perceived stress, whereas satisfaction of support from family (P = .003), other athletic trainers (P = .002), and athletes (P = .038) significantly predicted depression. Conclusions: The current study suggests that having an increased satisfaction of social support may reduce stress perceptions and depression in athletic training students.

Black athletes demonstrated disparities on some neurocognitive measures at baseline. These results suggest capturing an individual baseline on each athlete, as normative data comparisons may be inappropriate for athletes of a racial minority.

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