Conversely, runners who suffered EAMC exhibited significantly greater post-race creatine kinase (464.17 ± 220.47 vs. 383.04 ± 253.41 UI/L, p = 0.034) and lactate dehydrogenase (LDH) (362.27 ± 72.10 vs. 307.87 ± 52.42 UI/L, p = 0.002). Twenty-four hours post-race also values of both biomarkers were higher among crampers (CK 2,438.59 ± 2,625.24 vs. 1,166.66 ± 910.71 UI/L, p = 0.014; LDH 277.05 ± 89.74 vs. 227.07 ± 37.15 UI/L, p = 0.021). The difference in the percentage of runners who included strength conditioning in their race training approached statistical significance (EAMC 25%, non-EAMC 47.6%; p = 0.074). Eventually, relative speed between crampers and noncrampers only differed from the 25th km onward (p less then 0.05). Therefore, runners who suffered EAMC did not exhibit a greater degree of dehydration and electrolyte depletion after the marathon but displayed significantly higher concentrations of muscle damage biomarkers.Menezes, GB, Alexandre, DR, Pinto, JC, Assis, TV, Faigenbaum, AD, and Mortatti, AL. https://www.selleckchem.com/products/6-aminonicotinamide.html Effects of integrative neuromuscular training on motor performance in prepubertal soccer players. J Strength Cond Res XX(X) 000-000, 2020-The present study examined the effects of integrative neuromuscular training (INT) on motor performance in prepubertal soccer players. Subjects were randomly assigned to the experimental group (INT; n = 20, age 8.2 ± 1.2 years; body mass 28.4 ± 6.4 kg; height 1.3 ± 0.1 m) or the control group (CON; n = 18, age 8.5 ± 1.3 years; body mass 32.8 ± 8.9 kg; height 1.3 ± 0.1 m). Integrative neuromuscular training program was performed twice per week during the 12-week training intervention. Balance, flexibility, countermovement vertical jump height (CVJH), sprint speed, and change of direction speed (CODS) were assessed in both groups at baseline, sixth week and 12th week. A mixed model repeated measures analysis of variance was used to examine the group changes in performance for each variable. Thepubertal soccer players.Grier, T, Brooks, RD, Solomon, Z, and Jones, BH. Injury risk factors associated with weight training. J Strength Cond Res XX(X) 000-000, 2020-The purpose of this evaluation was to identify injury risk factors associated with weight training (WT). Subjects were 4,785 men and 542 women in a U.S. Army Division. Personal characteristics, unit training, personal training, fitness, and 12-month injury history were obtained by an electronic survey. Risk factors for WT injuries were explored using backward stepping multivariable logistic regression. Risk ratios, odds ratios (ORs), and 95% confidence intervals (95% CIs) were calculated for each risk factor. Over a one-year period, 4.5% of men and 0.6% of women experienced a WT injury. Weight-training injury incidence was 0.31 and 0.05 per 1,000 hours of WT for men and women, respectively. Overall, men were 7.4 times more likely to experience a WT injury compared with women. For men who participated in WT, independent risk factors for a WT injury included older age (OR [23-27/≤ 22 years] = 1.99, 95% CI 1.22-3.27; OR [>28/≤ 22 years] = 2.48, 95% CI 1.52-4.03) and higher amounts of personal WT per week (OR [60-165/≥ 166 minutes] = 0.58, 95% CI 0.39-0.88; and OR [15-59/≥ 166 minutes] = 0.40, 95% CI 0.24-0.66). A linear trend was revealed indicating an increasing risk of a WT injury with greater amounts of time spent WT per week (p less then 0.01). Performing moderate amounts of WT may reduce the risk of experiencing a WT injury. However, because muscle strength is an important component of fitness for Soldiers, specialized WT programs that improve strength while minimizing injury risks are needed. Moss, AC, Dinyer, TK, Abel, MG, and Bergstrom, HC. Methodological considerations for the determination of the critical load for the deadlift. J Strength Cond Res 35(2S) S31-S37, 2021-This study determined whether performance method during conventional deadlifting affects critical load (CL) estimates derived from the linear work limit (Wlim) vs. repetitions relationship. Eleven subjects completed 1-repetition maximum (1RM) deadlift testing followed by separate visits, to determine the number of repetitions to failure at 50, 60, 70, and 80% 1RM for both reset (RS) and touch-and-go (TG) methods. The CL was the slope of the line of total work completed (load [kg] × repetitions) vs. total repetitions for 4 intensities (50-80% 1RM). The number of repetitions to failure were determined at CLRS and CLTG. The kg values and repetitions to failure at CLRS and CLTG, and total repetitions at each intensity (50-80%) for each method (RS and TG) were compared. There were no significant mean differences (±SD) in kg values ( of CL or number of repetitions completed at submaximal loads. Thus, the estimates of CL from the modeling of total work vs. repetitions were relatively robust to variations in deadlifting methodologies. However, individual variability (range of scores) in kg values and repetition to failure at CLRS and CLTG indicated that deadlifting methods may differ in anatomical region of fatigue. The CL is an individually derived threshold that may be used to examine and describe performance capabilities.Douglas, AS, Rotondi, MA, Baker, J, Jamnik, VK, and Macpherson, AK. A comparison of on-ice external load measures between subelite and elite female ice hockey players. J Strength Cond Res XX(X) 000-000, 2020-This study quantified and examined differences in measures of on-ice external load for subelite and elite female ice hockey players. External load variables were collected from subelite (N = 21) and elite (N = 24) athletes using Catapult S5 monitors during the preseason. A total of 574 data files were analyzed from training and competition during the training camp. Significant differences between groups were found across all variables. Differences in training between the 2 groups ranged from trivial (forwards PlayerLoad, p = 0.03, effect-size [ES] = 0.18) to large (forwards Explosive Efforts [EEs], p less then 0.001, ES = 1.64; defense EEs, p less then 0.001, ES = 1.40). Match comparisons yielded similar results, with differences ranging from small (defense Low Skating Load [SL], p = 0.05, ES = 0.49; Medium SL, p = 0.