The purpose of the present work was to compare the effect of accentuated eccentric loaded (AEL) squats to normally loaded (NOR) squats on surface measured muscle activation (sEMG) in competitive weightlifters. Eight experienced, competitive weightlifters (six males, two females) completed both an AEL and NOR squat session (seven days apart), comprised of nine sets of squats, and was identical to their normal scheduled training. sEMG data from the vastus medialis (VM), vastus lateralis (VL), and biceps femoris (BF) was collected (at 1000Hz) during the entirety of the concentric (CON) phases of the AEL and NOR sessions. RMANOVAs (set x session-type) were calculated and no statistical differences were found (p > 0.05) while promising statistical effect sizes (?2 partial 0.073 to 0.273) were observed.

No description available.

The purpose of this review is twofold: to elucidate the utility of resistance training for endurance athletes, and provide the practitioner with evidenced-based periodization strategies for concurrent strength and endurance training in athletic populations. Both low-intensity exercise endurance (liee) and high-intensity exercise endurance (hiee) have been shown to improve as a result of maximal, high force, low velocity (hflv) and explosive, low-force, high-velocity strength training. Hflv strength training is recommended initially to develop a neuromuscular base for endurance athletes with limited strength training experience. A sequenced approach to strength training involving phases of strength-endurance, basic strength, strength, and power will provide further enhancements in liee and hiee for high-level endurance athletes.

The primary purpose of this study was to examine whether variability of practice enhances neuromuscular adaptations when compared to traditional strength training. The secondary purpose was to investigate whether there was a difference in perception of exertion between the two strength programs. Forty one subjects (23 women and 18 men) were assigned to either the control group or one of two treatment groups by a blocked-random method. Subject's one repetition maximum (1RM) for the kettlebell press and leg press were measured at baseline, after 4 weeks of training, and after 8 weeks of training. The treatment groups completed 8 weeks of training consisting of 3 days a week with at least one recovery day in between each session. In weeks 1 through 3, subjects undergoing the traditional treatment completed 3 sets of 8 repetitions at 70% of their 1RM for each exercise. Weeks 4 through 6 were composed of 3 sets of 6 repetitions at 77% 1RM. In weeks 7 and 8, 3 sets of 4 repetitions at 85% 1RM were performed. Over the course of the eight weeks, the variable treatment was comprised of 5 sets of the kettlebell and leg press. A set of 4 repetitions at 77% of the subject's 1RM, one of 5 repetitions at 70% 1RM, another of 3 repetitions at 85% 1RM, one of 6 repetitions at 65% 1RM, and finally a set of 2 repetitions at 93% 1RM were performed every session. The order of these sets were changed every 3 weeks, altering where in the session the highest intensity set was in relation to the lower intensity sets. Ratings of perceived exertion (RPE) were recorded following treatment to determine subject's perception of intensity during each set. Analysis of variance with repeated measures did not reveal significantly different strength gains between treatment groups in either lift, although variable treatment resulted in greater mean strength gains over almost every time interval. Analyses of RPE data revealed significantly lower reported RPE values for the variable treatment compared to the traditional treatment in both lifts. The greater mean strength gains and significantly lower RPEs of the variable treatment program compel us to conclude it is a superior training method for increasing strength compared to the traditional program.

Paralympic athletes (PA) appear to be more prone to chronic overuse injuries from daily wheelchair or crutch use. Over half of these injuries are shoulder related which can deleteriously impact quality of life. Adaptive powerlifters (AP) are a subdivision of Paralympic athletes and are at a higher risk for catastrophic injuries as compared to their counterparts, due to the compound of fatigue and lifting of maximal weights. For this reason, it is vital to have well-designed training plans for these athletes in order to preserve quality of life and maximize performance in competition. Unfortunately, there is a lack of literature on training adaptive athletes for performance. The purpose of this dissertation is to collect and analyze monitoring data of a para-powerlifter preparing for competition over the course of a six-month macrocycle. Specifically, the intention is to 1) explore options in adaptive monitoring measures for the adaptive athlete community via para-powerlifting 2) analyze trends in the training process with such monitoring methods in fatigue and performance and 3) examine efficient and safe training methods and practices for para-powerlifting. The major findings of this dissertation are 1.) Hand grip dynamometry may be a valid monitoring tool used to gain clarity on neuromuscular fatigue within para-powerlifters. 2.) Barbell velocities may reveal trends in fatigue and recovery over the course of a training cycle for para-powerlifters. 3.) Para-powerlifters and para-athletes training for upper-body power development should likely perform bench press using a strap to secure them to the bench for enhanced stability. The significant and consistently increased force outputs the added stability enables the athlete to utilize may bring more pronounced training adaptations towards their goals. This dissertation is exploratory in nature and much more research needs to be done to give the adaptive athlete population adequate information and tools for their long-term success and safety.

Exercise-induced fatigue may be caused by increases in cerebral serotonin resulting in symptoms of central fatigue (i.e. decreased mood, and increased stress and sleepiness). Branched-chain amino acid (BCAA) supplementation is one intervention that can reduce symptoms of central fatigue by competing for the tryptophan transporter reducing serotonin synthesis. Psychological monitoring tools such as The Daily Analysis of Life Demands for Athletes (DALDA) Questionnaire can be used to study symptoms of central fatigue by identifying sources of general and sport-specific stress as well as an athlete’s reaction to stressors. PURPOSE: To examine the response of BCAA on stress perception of trained collegiate distance runners using DALDA. METHODS: 8 collegiate distance runners (men n=4, women n=4) took BCAA supplement (SUP) (0.08g/kg) or placebo (PLA) daily for 6 weeks, alternating conditions week to week. Each morning athletes filled out the 34-item DALDA prior to training by selecting one of 3 answers corresponding to stress symptoms: A = “feel worse than normal”, B= “feel normal”, C= “feel better than normal”. Response ratios were generated for each of the 3 answers for each condition (SUP or PLA) by taking total number of responses for each answer over number of answers overall. Response ratios were calculated as weekly mean ± SD and MANOVA was used for analysis. The alpha criterion was set to p<0.05. RESULTS: Statistical significance was found (p<0.01), and further analyses were done to examine changes from week to week. On average, athletes reported fewer ‘A’ responses in SUP weeks than PLA weeks (SUP: 9.27% ± 2.21%; PLA: 13.46% ± 7.29%), while response percentage for ‘C’ was the same between both conditions (SUP: 11.78 ± 2.12%; PLA: 11.24% ± 2.32%). Changes from SUP weeks to PLA weeks produced noticeable changes in ‘A’ responses (e.g.: 14.36% SUP week to PLA week; -9.95% from PLA week to SUP week). CONCLUSIONS: Results from DALDA revealed a noticeable change in the stress response of the athletes from condition to condition. The athletes reported higher instances of feeling “worse than normal” during PLA weeks and fewer instances of feeling “worse than normal” during SUP weeks. These results indicate that BCAA supplementation seems to be an effective means of reducing the stress perception in these collegiate distance runners.

Purpose: To determine the reliability of early force production (50, 100, 150, 200, and 250 ms) relative to peak force (PF) during an isometric mid-thigh pull and to assess the relationships between these variables. Methods:: Male collegiate athletes (N = 29; age 21.1 [2.9] y, height 1.71 [0.07] m, body mass 71.3 [13.6] kg) performed isometric mid-thigh pulls during 2 separate testing sessions. Net PF and net force produced at each epoch were calculated. Within- and between-session reliabilities were determined using intraclass correlation coefficients and coefficient of variation percentages. In addition, Pearson correlation coefficients and coefficient of determination were calculated to examine the relationships between PF and time-specific force production. Results:: Net PF and time-specific force demonstrated very high to almost perfect reliability both within and between sessions (intraclass correlation coefficients .82–.97; coefficient of variation percentages 0.35%–1.23%). Similarly, time-specific force expressed as a percentage of PF demonstrated very high to almost perfect reliability both within and between sessions (intraclass correlation coefficients .76–.86; coefficient of variation percentages 0.32%–2.51%). Strong to nearly perfect relationships (r = .615–.881) exist between net PF and time-specific net force, with relationships improving over longer epochs. Conclusion:: Based on the smallest detectable difference, a change in force at 50 milliseconds expressed relative to PF > 10% and early force production (100, 150, 200, and 250 ms) expressed relative to PF of >2% should be considered meaningful. Expressing early force production as a percentage of PF is reliable and may provide greater insight into the adaptations to the previous training phase than PF alone.

Introduction: Monitoring an athlete’s stress and recovery state across sequential training bouts can be used to gauge fitness and fatigue levels (i.e., preparedness). Previous studies have used jumping performance, biochemical markers, and questionnaires to estimate preparedness. However, self-report questionnaires are the most common due to economical and practical means. The Short Recovery and Stress Scale (SRSS) is an 8-item questionnaire ideal for monitoring; however, convergent validity of the SRSS with physiological and performance measures needs to be investigated. Purpose: Thus, the purpose of this study was to determine whether changes in collegiate weightlifter’s training volume-load, biochemical markers, and jumping performance correlate to changes in the SRSS. Methods: 12 collegiate weightlifters (8 males, 4 females) with >1yr of competition experience trained for 4 weeks and were tested at the beginning of each week (T1-T4). Training volume-load with displacement (VLd) was monitored weekly for all exercises. Testing was conducted following an overnight fast and included hydration, SRSS (0-6 scale with 6 indicating highest recovery and stress), and blood draws (resting testosterone (T), cortisol (C), T:C, creatine kinase (CK)) followed by unloaded (0kg) and loaded (20kg) squat jumps (SJ) on force platforms. Pearson correlation coefficients were calculated between the change in SRSS scores and all other variables from T1-T2, T1-T3, and T1-T4. Alpha level was set at p< 0.05. Results: Inverse relationships were observed between changes in recovery items and C (r= -0.61 to -0.72, p< 0.05), and unloaded and loaded SJ height and relative peak power (r= -0.59 to -0.64, p< 0.05) from T1 to T2, and T1 to T3. Similarly, positive relationships were observed between changes in stress items and C (r=0.61 to 0.72, p< 0.05), and unloaded and loaded SJ height and relative peak power (r=0.58 to 0.84, p< 0.05) across all time points. No significant relationships were observed between changes in SRSS items and VLd or T, T:C, CK. Conclusion: Relationships between changes in some SRSS items and C agree with previous findings highlighting C as an indicator of training stress. Nonetheless, the non-significant relationships between changes in SRSS items, VLd, and other biochemical markers disagrees with previous findings. This may partly be explained by the smaller undulations in VLd in the current study, which is characteristic of actual training. Further, relationships between changes in some SRSS items and jumping performance were opposite of what was expected indicating athlete’s perception of their stress and recovery state does not always correspond with their ability to perform. Practical Application: These results provide some evidence for the convergent validity of the SRSS. Nonetheless, weightlifting coaches should be cautious in using results from a single test to estimate an athlete’s preparedness. Thus, we recommend the SRSS be included as part of a multi-dimensional monitoring program for weightlifters.

No description available.

Monitoring the resistance training volume load (VL) (sets × reps × load) is essential to managing resistance training and the recovery–adaptation process. Subjects: Eight trained weightlifters, seven of which were at national level, participated in the study. Methods: VL was measured both with (VLwD) and without (VL) the inclusion of barbell displacement, across twenty weeks of training, in order to allow for comparisons to be made of these VL calculating methods. This consisted of recording the load, repetition count, and barbell displacement for every set executed. Comparisons were made between VL and VLwD for individual blocks of training, select training weeks, and select training days. Results: Strong, statistically significant correlations (r ≥ 0.78, p < 0.001) were observed between VL and VLwD between all training periods analyzed. t-tests revealed statistically significant (p ≤ 0.018) differences between VL and VLwD in four of the seven training periods analyzed. Conclusion: The very strong relationship between VL and VLwD suggest that a coach with time constraints and a large number of athletes can potentially spare the addition of displacement. However, differences in percent change indicate that coaches with ample time should include displacement in VL calculations, in an effort to acquire more precise workload totals.