Introduction: Electronic sports, termed esports, is a growing athletic activity in which high levels of attention and cognitive performance are required. With its increasing popularity and competitiveness, interest in strategies to improve performance have emerged. Improving esports athlete performance, namely cognitive endurance, and resilience, may lie in nutritional or lifestyle factors. The Nutrition, Vision, and Cognition in Sport Studies (IONSport) investigated nutritional and behavioral factors that can influence cognition via 3-dimensional multiple objects tracking test (3DMOT) via Neurotracker X (NTx) software. The purpose of this study was to characterize the lifestyle of high level esports athletes with detailed nutrition, sleep, and physical activity assessments, and their association to gaming related cognitive performance.Methods: 103 male and 16 elite female esports athletes aged 16 to 35 years old completed surveys, food records, and cognitive testing sessions over 10 days. Participants were instructed to maintain their normal dietary and lifestyle habits.Results: There were positive significant associations between average NTx scores and the following nutrients: magnesium, phosphorous, potassium, sodium, zinc, selenium, thiamin, niacin, vitamins B6 and B12, folate, cholesterol, saturated, polyunsaturated, and monounsaturated fats, omega-6 and omega-3 fatty acids, and choline. Majority of participants did not meet recommended dietary allowances (RDAs) for these micronutrients nor the recommended intakes for dairy, fruit, and vegetables. There was a significant (p = 0.003) positive (r = 0.272) association between total vegetable intake and average NTx score. There was a significant negative association (p = 0.015) with our final sustain session, which measured cognitive resilience, and the Stanford Sleepiness Scale score. Repeated measures analysis was done with these groups over the 18 core NTx sessions. There were significant (p = 0.018) differences between the two groups with those who consumed the recommended amount of protein or more performing significantly better on NTx over the 18 sessions than those that did not consume enough protein. Those who consumed the recommended intakes for riboflavin, phosphorous, vitamin B12, and selenium performed significantly better over the 18 core NTx sessions than those that did not meet the recommended amounts.Discussion: The need for a nutrition intervention that is rich in protein, vitamins, and minerals is warranted in this population.

Riechman, SE and Lee, CW. Oral contraceptive use impairs muscle gains in young women. J Strength Cond Res 36(11): 3074–3080, 2022—Many active young women use oral contraceptives (OCs), yet their effects on the body composition and exercise performance have not been thoroughly studied. We examined the effects of OCs on muscle responses to a standardized resistance exercise training (RET) program. Two groups of young healthy women (18–29 years old, non-OC: n = 38, OC: n = 34) underwent 10 weeks of whole-body RET (3 days·wk⁻¹, 3 sets, 6–10 repetitions, at 75% of maximum strength, 13 exercises). Body composition was determined using hydrostatic weighing, and blood samples were taken before and after training to measure dehydroepiandrosterone (DHEA), DHEA sulfate (DHEAS), IGF-1, and cortisol levels. There were significant differences in lean mass gains between the groups (non-OC: 3.5 ± 0.4% vs. OC: 2.1 ± 0.5% and non-OC: 1.6 ± 0.2 kg vs. OC: 1.0 ± 0.2 kg, p < 0.05). Plasma concentrations of DHEA, DHEAS, and IGF-1 were significantly lower, and cortisol levels were higher in the OC group before and after training (p < 0.05). In addition, there were significant differences in lean mass gains depending on the androgenicity of progestin between the non-OC and medium-high groups (non-OC: 1.6 ± 0.2 kg, Low = 1.1 ± 0.2 kg, med-high = 0.3 ± 0.5 kg, p < 0.05). Oral contraceptive use impaired lean mass gains in young women after RET and was associated with lower DHEA, DHEAS, and IGF-1 and higher cortisol. The diminished lean mass gain may be related to the effect of OCs on anabolic and catabolic hormone levels or the androgenicity of progestin that may bind to androgen receptors and inhibit its function.

Background: The exhaustive series of tests undergone by young athletes of Olympic rowing prior to important competitions imply loads of physical stress that can ultimately impact on mood and motivation, with negative consequences for their training and performance. Thus, it is necessary to develop a tool that uses only the performance of short distances but is highly predictive, offering a time expectancy with high reliability. Such a test must use variables that are easy to collect with high practical applicability in the daily routine of coaches. Objective: The objective of the present study was to develop a mathematical model capable of predicting 2000 m rowing performance from a maximum effort 100 m indoor rowing ergometer (IRE) test in young rowers. Methods: The sample consisted of 12 male rowing athletes in the junior category (15.9 ± 1.0 years). A 100 m time trial was performed on the IRE, followed by a 2000 m time trial 24-h later. Results: The 2000 m mathematical model to predict performance in minutes based on the maximum 100 m test demonstrated a high correlation (r = 0.734; p = 0.006), strong reliability index (ICC: 0.978; IC95%: [0.960; 0.980]; p = 0.001) and was within usable agreement limits (Bland -Altman Agreement: −0.60 to 0.60; 95% CI [−0.65; 0.67]). Conclusion: The mathematical model developed to predict 2000 m performance is effective and has a statistically significant reliability index while being easy to implement with low cost.

Choline plays many important roles, including the synthesis of acetylcholine, and may affect muscle responses to exercise. We previously observed correlations between low choline intake and reduced gains in strength and lean mass following a 12-week resistance exercise training (RET) program for older adults. To further explore these findings, we conducted a randomized controlled trial. Three groups of 50-to-69-year-old healthy adults underwent a 12-week RET program (3x/week, 3 sets, 8–12 reps, 70% of maximum strength (1RM)) and submitted >48 diet logs (>4x/week for 12 weeks). Participants’ diets were supplemented with 0.7 mg/kg lean/d (low, n = 13), 2.8 mg/kg lean/d (med, n = 11), or 7.5 mg/kg lean/d (high, n = 13) of choline from egg yolk and protein powder. The ANCOVA tests showed that low choline intake, compared with med or high choline intakes, resulted in significantly diminished gains in composite strength (leg press + chest press 1RM; low, 19.4 ± 8.2%; med, 46.8 ± 8.9%; high, 47.4 ± 8.1%; p = 0.034) and thigh-muscle quality (leg press 1RM/thigh lean mass; low, 12.3 ± 9.6%; med/high, 46.4 ± 7.0%; p = 0.010) after controlling for lean mass, protein, betaine, and vitamin B₁₂. These data suggest that low choline intake may negatively affect strength gains with RET in older adults.

Background/Objectives: Obesity is linked to a higher risk of cognitive impairment. The objective of this single blind randomized trial was to evaluate the impact of dark sweet cherry (DSC) intake on cognitive function in obese adults. Methods: Participants (body mass index (BMI): 30–40 kg/m², >18 years, without chronic diseases and/or antibiotic use) consumed 200 mL of DSC drink with 3 g of cherry powder (n = 19) or an isocaloric placebo drink (n = 21) twice daily for 30 days. Cognitive function was assessed at Day 1 (D1) and Day 30 (D30) using standardized cognitive tests and the NeuroTracker (NT) 3D training program. Blood biomarkers related to cognitive health (neurotensin, substance p, and oxytocin) and circadian rhythm (melatonin and cortisol) were assessed at D1 and D30 using a Luminex multiplex bead-based immunoassay. Results: DSC supplementation significantly improved working memory and concentration, as indicated by higher scores in the digit span forward (DSF, p = 0.006) and backward (DSB, p = 0.01) tests. However, processing speed, sustained attention, and visual spatial skills, assessed through the trail making (TMT) and digit symbol substitution (DSST) tests, as well as visual cognitive performance (VCP) evaluated by the NT program, showed no significant differences between groups. Neurotensin, associated with cognitive deficits, increased in both cherry and placebo groups but was significant only in the placebo group (p = 0.007). Similarly, melatonin increased in both groups, reaching significance only in the placebo group (p = 0.02), and it correlated positively with IFNγ, suggesting a compensatory response to inflammation. Conclusions: These findings suggest DSC supplementation may enhance specific cognitive functions in obese adults. Further clinical trials are needed to confirm these results.

Doyle, BP, Stanelle, ST, Riechman, SE, and Mann, JB. The NFL scouting combine explains within-position physical performance variance but is a poor predictor of draft outcomes. J Strength Cond Res XX(X): 000–000, 2026—This study evaluates the National Football League (NFL) Combine's physical performance tests ability to (a) explain performance variance between players of similar positions and (b) predict draft status. Players who completed all combine assessments ( n = 3,681) were grouped by position group as quarterbacks, skill (SK), linemen (BIG), and mid-size. Variables included the 6 NFL Combine tests, height, body mass, maximal anaerobic power, and momentum for speed and change-of-direction (COD) tests. Principal component analysis with promax rotation and parallel analysis reduced data dimensionality for each position group. Binary logistic regression with Monte Carlo simulated cross-validation ( n = 1,000) examined the impact of identified physical performance components on draft likelihood for each position group. Multivariate analysis of variance with post-hoc testing compared drafted vs. undrafted players' component scores. Four physical performance components explaining meaningful variance were identified: momentum (26.5–36.1% explained), power (22.1–29.5% explained), COD (15.5–19.7% explained), and strength (10.0–11.5% explained; BIG and SK only). Logistic regression indicated that few components significantly influenced draft probability ( p < 0.05; SK only). Overall model predictive performance was poor (receiver operator characteristic area under the curve < 0.75). Differences between drafted and undrafted players were found in wide receivers (WR) (power, COD, strength), defensive backs (momentum, strength), and running backs (strength), with undrafted players having unexpectedly superior performance component scores than drafted players across several performance qualities (small-to-moderate effect, p < 0.05). These results suggest that physical performance alone does not account for most variance in draft status once underlying performance thresholds are met. National Football League Combine tests inconsistently predicted draft outcomes but may still guide roster decisions when contextualized as underlying physical performance attributes to highlight individual deficits to evaluate an athlete's fit for team-specific demands.