The Effect of TITAN Evo (TE) Chair on Muscle Stiffness, Player Perceptions and Performance

PURPOSE: To examine the difference of an Aeron chair and a TITAN Evo (TE) chair on muscle stiffness, gaming performance, and gamers perceptions during a 2-hour League of Legends gaming session. METHODS: All subjects signed written consent to participate in this mixed-method randomized cross-over design trial. Each subject performed 2 testing days. Prior to each gaming session, subjects were fitted to each chair according to manufacturer guidelines and shown all the adjustable features of each chair. Instructions were “please adjust the chair to your preference”. Prior to gaming, subjects sat for 15 minutes in the chair. Dynamic muscle stiffness [N/m] was tested using oscillation frequency [Hz]. Measurements were taken bilaterally on the upper trapezius, mid trapezius, lower trapezius and erector spinae muscles pre and post 2 hours of game play. Surveys were administered following each day on chair preference. Total Wins and Kills were recorded. A paired t-test was used to compare the difference in muscle stiffness pre- and post-game play between chairs and for wins and kills, as well as descriptive statistics. RESULTS: Thirty-three subjects (men 85%, age 23 ± 4.9) were analyzed. No significant differences were found in muscle stiffness measures except upper trapezius. After 2 hours of gameplay, the left erector spinae in the TE was 4.8% less than the Aeron chair (p=0.1), and 3.8% less on the right (p=0.29). In the TE chair, the left lower trapezius was 1.7% less (p=0.64), and 4.4% less on the right (p=0.44). The left mid trapezius was 15.6% lower (p=0.94), and 13.7% less on the right (p=0.36). The left upper trapezius was 7.7% higher (p=0.03), and 2.8% higher on the right. No significant difference was found in the left upper trapezius between groups (p= 0.71). Although not significant, subjects showed 25% more wins in the TE chair(p=0.27) and 15% more kills in the TE chair (p=0.32). Chair preference showed 58% of subjects preferred the TE chair over 42% who preferred the Aeron chair. CONCLUSION: This study found minimal differences in muscle stiffness between the TE chair and the Aeron chair. However, the data suggests that the TE chair is the preferred choice among this group of gamers and is associated with enhanced performance

Saliva microRNA Biomarkers of Cumulative Concussion

Recurrent concussions increase risk for persistent post-concussion symptoms, and may lead to chronic neurocognitive deficits. Little is known about the molecular pathways that contribute to persistent concussion symptoms. We hypothesized that salivary measurement of microribonucleic acids (miRNAs), a class of epitranscriptional molecules implicated in concussion pathophysiology, would provide insights about the molecular cascade resulting from recurrent concussions. This hypothesis was tested in a case-control study involving 13 former professional football athletes with a history of recurrent concussion, and 18 age/sex-matched peers. Molecules of interest were further validated in a cross-sectional study of 310 younger individuals with a history of no concussion (n = 230), a single concussion (n = 56), or recurrent concussions (n = 24). There was no difference in neurocognitive performance between the former professional athletes and their peers, or among younger individuals with varying concussion exposures. However, younger individuals without prior concussion outperformed peers with prior concussion on three balance assessments. Twenty salivary miRNAs differed (adj. p \u3c 0.05) between former professional athletes and their peers. Two of these (miR-28-3p and miR-339-3p) demonstrated relationships (p \u3c 0.05) with the number of prior concussions reported by younger individuals. miR-28-3p and miR-339-5p may play a role in the pathophysiologic mechanism involved in cumulative concussion effects

Diagnosing Mild Traumatic Brain Injury Using Saliva RNA Compared to Cognitive and Balance Testing

BACKGROUND: Early, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could increase diagnostic accuracy and improve clinical outcomes. The aim of this study was to assess the ability of salivary noncoding RNA (ncRNA) to serve as a diagnostic adjunct to current clinical tools. We hypothesized that saliva ncRNA levels would demonstrate comparable accuracy for identifying mTBI as measures of symptom burden, neurocognition, and balance. METHODS: This case‐control study involved 538 individuals. Participants included 251 individuals with mTBI, enrolled ≤14 days postinjury, from 11 clinical sites. Saliva samples (n = 679) were collected at five time points (≤3, 4‐7, 8‐14, 15‐30, and 31‐60 days post‐mTBI). Levels of ncRNAs (microRNAs, small nucleolar RNAs, and piwi‐interacting RNAs) were quantified within each sample using RNA sequencing. The first sample from each mTBI participant was compared to saliva samples from 287 controls. Samples were divided into testing (n = 430; mTBI = 201 and control = 239) and training sets (n = 108; mTBI = 50 and control = 58). The test set was used to identify ncRNA diagnostic candidates and create a diagnostic model. Model accuracy was assessed in the naïve test set. RESULTS: A model utilizing seven ncRNA ratios, along with participant age and chronic headache status, differentiated mTBI and control participants with a cross‐validated area under the curve (AUC) of .857 in the training set (95% CI, .816‐.903) and .823 in the naïve test set. In a subset of participants (n = 321; mTBI = 176 and control = 145) assessed for symptom burden (Post‐Concussion Symptom Scale), as well as neurocognition and balance (ClearEdge System), these clinical measures yielded cross‐validated AUC of .835 (95% CI, .782‐.880) and .853 (95% CI, .803‐.899), respectively. A model employing symptom burden and four neurocognitive measures identified mTBI participants with similar AUC (.888; CI, .845‐.925) as symptom burden and four ncRNAs (.932; 95% CI, .890‐.965). CONCLUSION: Salivary ncRNA levels represent a noninvasive, biologic measure that can aid objective, accurate diagnosis of mTBI

Managing the health of the eSport athlete: an integrated health management model

ObjectiveseSport is a form of electronic gaming, also known as professional or competitive video gaming, and is growing at a rapid pace worldwide. Over 50 US colleges have established varsity gaming teams over the past three years; some colleges offer eSport scholarships as they do for traditional sports. There is little objective research on the health habits of these players who are often placed under the direction of the athletics department on college campuses, and there is currently no health management model on how to treat these new athletes.MethodsAnonymous electronic surveys were sent to 65 collegiate eSport players from nine universities across the USA and Canada inquiring about gaming and lifestyle habits, and musculoskeletal complaints due to eSport competition.ResultsPlayers practiced between 3 and 10 hours per day. The most frequently reported complaint was eye fatigue (56%), followed by neck and back pain (42%). eSport athletes reported wrist pain (36%) and hand pain (32%). Forty per cent of participants do not participate in any form of physical exercise. Among the players surveyed, only 2% had sought medical attention.ConclusioneSport players, just like athletes in traditional sports, are susceptible to overuse injuries. The most common complaint was eye fatigue, followed by neck and back pain. This study shows eSport athletes are also prone to wrist and hand pain. This paper proposes a health management model that offers a comprehensive medical team approach to prevent and treat eSport athletes

Esports players, got muscle? Competitive video game players’ physical activity, body fat, bone mineral content, and muscle mass in comparison to matched controls

Background: Esports players, like traditional athletes, practice for long hours and, thus, are vulnerable to the negative health effects of prolonged sitting. There is a lack of research on the physical activity and the health ramifications of prolonged sitting by competitive players. The purpose of this study was to investigate activity levels, body mass index (BMI), and body composition in collegiate esports players as compared to age-matched controls. Methods: Twenty-four male collegiate esports players and non-esports players between 18 and 25 years of age signed a written consent to participate. Physical activity was examined using daily activity (step count) with a wrist-worn activity tracker. A questionnaire assessing physical activity was also administered. Secondary outcomes included body-fat percentage, lean-body mass, BMI, and bone mineral content measured using dual X-ray absorptiometry. Results: The step count in the esports players was significantly lower than the age-matched controls (6040.2 ± 3028.6 vs. 12843.8 ± 5661.1; p = 0.004). Esports players exhibited greater body-fat percentage (p = 0.05), less lean body mass (p = 0.003), and less bone mineral content (p = 0.03), despite no difference in BMI between the esports and non-esports players. Conclusion: As compared to non-esports players, collegiate esports players were significantly less active and had a higher body-fat percentage, with lower lean body mass and bone mineral content. The BMIs showed no difference between the 2 groups. Esports athletes displayed significantly less activity and poor body composition, which are all correlated with potential health issues and risk of injury. BMI did not capture this difference and should not be considered as an accurate measure of health in competitive esports players

Upper body compression wear improves muscle oxygenation following intense video game training: a randomized cross-over study among competitive gamers

Abstract Background Esport players require a high number of action moves per minute to play, with substantial contractions of the wrist extensor muscles. Players frequently suffer from acute fatigue. The purpose of this study was to examine the use of below the elbow compression sleeves on Sm02 during intense aim training. Secondly, to examine players’ performance and perception with and without compression. Methods This study was conducted at the New York Institute of Technology and enrolled fifteen collegiate esport players, 2 women and 13 men (age 21.2 ± 2.2). All subjects signed written consent. Participants performed 3 high intensity bouts of an aim trainer followed by a 15-minute rest before doing another 3 bouts of high intensity training conducting the other arm of the study. The compression wear order was randomized. The primary outcome included Sm02 of the extensor carpi radialis longus using near-infrared spectrometry. Secondary outcomes included Kills Per Second (KPS), Score, Total Time to Kill (TTK), accuracy, and perceived performance. Results Following 15 min of recovery, there was a significant rise in Sm02 while wearing the compression sleeve compared to no compression sleeve (p = 0.004). No change in Sm02 was seen while gaming. In trials 1 and 2, wearing the compression sleeve resulted in a significant increase in KPS and score when compared to not wearing it (p = 0.002,0.006). Although TTK and accuracy did not alter, 46.7% of participants believed the compression sleeve aided their performance. Conclusions This study provides support that wearing below the elbow upper body compression sleeves while performing high intensity gaming may reduce fatigue, improve muscle recovery and gaming performance. Trial registration Clinicaltrials.gov identifier NCT05037071. Registered 08/09/2021. URL: Arm Compression on Muscle Oxygen Saturation - Full Text View - ClinicalTrials.go

Cranial Strain Patterns Associated With Concussions.

CONTEXT: Concussions can cause cognitive impairment, somatic symptoms, and behavioral changes. Symptoms may vary in severity, depending on the degree of traumatic force. Due to the biomechanical nature of this trauma, cranial somatic dysfunctions may commonly be seen in patients with concussion. OBJECTIVE: To determine whether patients were more likely to have nonphysiologic cranial somatic dysfunctions than physiologic cranial somatic dysfunctions after sustaining a concussion. METHODS: College athletes who had a concussion based on the Immediate Post-Concussion Assessment and Cognitive test were evaluated by a physician within 1 week of the injury. Patients were evaluated for somatic dysfunctions of the cranium. Cranial somatic dysfunctions were documented; test scores and force vectors were compared with the type of strain pattern using SPSS, with P RESULTS: Sixteen patients were included in the study: 10 with nonphysiologic cranial strain somatic dysfunctions and 6 with physiologic dysfunctions. Compared with lateral forces, forces of impact with anterioposterior vectors were associated 1.5 times more often with nonphysiologic rather than physiologic cranial somatic dysfunctions (P=.697). An analysis of specific cranial strain patterns and impact force vectors showed no statistical significance (P=.096). CONCLUSION: There was no statistically significant association showing that concussion patients were more likely to have nonphysiologic cranial somatic dysfunctions compared with physiological cranial somatic dysfunctions. However, nonphysiologic cranial somatic dysfunctions did show a trend toward association with concussion. Further studies are needed to better understand the potential association between concussion and cranial somatic dysfunctions