Silvio Polly da Costa Valladão, J. Loenneke, X. Ye, Corbit Franks, Thomas L. Andre
{"title":"Minutes Played Should be Used for the Calculation of Session Rating of Perceived Exertion During Matches in NCAA Division I Women’s Soccer","authors":"Silvio Polly da Costa Valladão, J. Loenneke, X. Ye, Corbit Franks, Thomas L. Andre","doi":"10.53520/rdsp2022.10545","DOIUrl":"https://doi.org/10.53520/rdsp2022.10545","url":null,"abstract":"Introduction: Monitoring Training Load in soccer is used to achieve the best individualized performance outcomes and to prevent injuries. However, there is no clear recommendation for which ‘match duration’ should be used in the calculation of match Session Rating of Perceived Exertion Training Load (sRPE-TL) in NCAA DI women’s soccer. Therefore, the purpose of this study was to establish a duration standard to be used in the calculation of sRPE-TL in collegiate NCAA DI women’s soccer matches. A secondary aim was to investigate whether multiple positions require the use of different durations for the calculation of sRPE-TL. Methods: Seventeen athletes (means ± standard deviations: age 20 ± 1.1 yrs., height 170 ± 6.6 cm, weight 64.6 ± 7.0 kg) participated in this study. Repeated measures correlations were used to determine the relationship between the different sRPE-TL calculations and objective variables (e.g., GPS variables and HR-based variable). Data was analyzed using the rmcorr package in R Studio executing R. Alpha was set a-priori at p ≤ 0.05. Results: The s-RPE-TL using the four ‘minutes played’ durations (‘minutes played only’, ‘warm-up added’, ‘halftime added’, and ‘warm-up and halftime added’) were strongly correlated with TLS (r = .773, .776, .789, .786), total distance (r = .825, .813, .811, .798), number of sprints (r = .716, .717, .712, .711), HSD (r = .608, .615, .609, .612), and mechanical load (r = .738, .738, .734, .732). When separated by positions, the correlations between sRPE-TL and objective data were similar across all four ‘minutes played’ durations. Conclusions: Any of the ‘minutes played’ durations should be used to calculate match sRPE-TL values for the entire team. Multiple positions do not require the use of different durations for the calculation of sRPE-TL which facilitates sRPE-TL comparisons across positions.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124523457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Adamson, Clare Quebedeaux, Tyler Carpenter, Stuart Roche, Travis Kleifgen, Alex Curtis, Makennah J. Mills
{"title":"Considerations for the Utilization of Questionnaires in Collegiate Team Environments","authors":"G. Adamson, Clare Quebedeaux, Tyler Carpenter, Stuart Roche, Travis Kleifgen, Alex Curtis, Makennah J. Mills","doi":"10.53520/rdsp2022.10546","DOIUrl":"https://doi.org/10.53520/rdsp2022.10546","url":null,"abstract":"Questionnaires are commonplace in team and individual sports as a subjective tool to assess an athlete’s psychological perception and behavioral practices towards their performance and physical preparation. A consistent and systematic approach is required when administering questionnaires to an athlete or group of athletes. Proper questionnaire design and administration methods allow a strength and conditioning coach to effectively analyze the data and make actionable interventions when necessary. There are challenges in sports, especially team environments, which strength and conditioning professionals must maneuver to better help athletes. These challenges include sudden changes in practice or travel, coaching changes, administrative technicalities, athlete cooperation, and many more factors. When challenges arise, questionnaires are useful tool to gauge how an athlete responds to such changes. The purpose of this report is to outline strategies and considerations for strength and conditioning professionals to effectively implement questionnaires in the collegiate environment.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124066688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fixture Congestion has Minimal Impact on External Workloads in Collegiate Soccer Players","authors":"G. Long, K. Freeland, Johnathan Hayes","doi":"10.53520/rdsp2022.10544","DOIUrl":"https://doi.org/10.53520/rdsp2022.10544","url":null,"abstract":"Introduction: Advances in GPS technology have allowed for the measurement of soccer players’ external workloads in competition. While short collegiate seasons with fixture congestion may pose challenges for sustained performance, no study has determined if objective measures of performance are impacted by game congestion in college soccer players.\u0000Methods: External workload variables were measured using the Polar Team Pro™ GPS device (n=19 players). Data were normalized by minutes played to account for discrepancies in playing time. Paired samples T-test was used to determine if workloads were different between the first and second games of “double-header” weekends (n=14 games).\u0000Results: In second games, sprints were significantly reduced compared to first games (0.49 ± 0.2 vs. 0.41 ± 0.1, p= 0.005), with decelerations tending to be lower (1.58 ± 0.4 vs. 1.43 ± 0.4, p= 0.06). However, there were no differences in total distance (133.3 ± 38.8 m vs. 129 ± 32.2 m, p= 0.54), high speed running (45.1 ± 13.1 vs. 47.7 ± 13.9 m, p= 0.26) and accelerations (1.5 ± 0.4 vs. 1.6 ± 0.4, p= 0.13) respectively.\u0000Conclusions: We note a small but significant difference in sprint distance with fixture congestion, despite no reduction in total distance run, high-speed running, or accelerations. These findings are unexpected due to the high demands of match play and limited recovery time between games.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128094137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
José Luis de Rojas, T. Silver, J. Antonio, C. Peacock
{"title":"The Effects of Beta-Hydroxy-Beta-Methylbutyrate on Body Composition in Trained MMA Fighters","authors":"José Luis de Rojas, T. Silver, J. Antonio, C. Peacock","doi":"10.53520/rdsp2022.10532","DOIUrl":"https://doi.org/10.53520/rdsp2022.10532","url":null,"abstract":"Introduction: Nutrition plays an important role for mixed martial art (MMA) athletes preparing for competition. Additionally, nutritional supplements are widely used by athletes preparing for competition. Among the various nutritional supplements used by MMA athletes, β-hydroxy-β-methylbutyrate (HMB) is one supplement that may have positive effects on body composition during a fight camp.\u0000Methods: The current study examined 16 healthy, male professional MMA fighters (29.0±3.5 yrs.; 178.5± 7.8 cm). Participants completed a randomized, double-blinded, two group [HMB versus Placebo (Cellulose)] by two-time point [Pre-, Post-], mixed study. The study consisted of subjects supplementing HMB (3g daily) or placebo in conjunction with MMA training over a 6-week period. Supplementation was consumed after each morning training session and first thing in the morning on non-training days. Body composition was assessed via InBody770® (InBody UK, United Kingdom) for both pre- and post-intervention. \u0000Results: There were no significant (p = 0.471) differences between HMB and Placebo (Table 2) following the 6-weeks of training for weight (HMB Pre- 84.6±10.8kg, Post- 84.1±11.6kg; Placebo Pre- 87.9±14.2kg, Post- 87.9±13.5kg). There were also no significant (p = 0.095) differences for skeletal muscle mass (SMM) (HMB Pre- 42.3±5.4kg, Post- 41.8±5.1kg; Placebo Pre- 44.2±9.0kg, Post- 44.6±8.8kg). No significant (p = 0.655) differences existed for fat mass (HMB Pre- 11.3±2.5kg, Post- 11.2±3.8kg; Placebo Pre- 11.0±4.9, Post- 11.2±3.6). Lastly, no differences (p = 0.641) existed for body fat % (HMB Pre- 13.3±2.5%, Post- 13.2±3.4%; Placebo Pre- 12.8±6.4%, Post- 12.3±6.6%).\u0000Conclusion: Based on the results, the use of HMB to improve body composition in trained MMA fighters is not supported. There was also no significant difference in skeletal muscle mass during the six weeks. ","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129918784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Buxton, P. Prins, E. Ryan, Dalton W. Jones, Isaac Thrasher, Madison N. Faulkner, Elaine Robertson, G. Welton, D. Ault
{"title":"Inter-Set Voluntary Hyperventilation-Aided Recovery Does Not Improve Performance of Bench Press and Squat in Recreationally Trained Individuals","authors":"J. Buxton, P. Prins, E. Ryan, Dalton W. Jones, Isaac Thrasher, Madison N. Faulkner, Elaine Robertson, G. Welton, D. Ault","doi":"10.53520/rdsp2022.10529","DOIUrl":"https://doi.org/10.53520/rdsp2022.10529","url":null,"abstract":"Introduction: To examine the effects of voluntary hyperventilation (VH) between sets of bench press (BP) and squat (SQ) at 70 and 90% 1RM on repetitions to failure, power, bar velocity, blood lactate, session RPE (sRPE), and muscle oxygen saturation (SmO2).\u0000Methods: Fifteen recreationally trained (2.92 ± 2.18 yrs. of resistance training experience) college-aged males (20.27 ± 1.39 yrs., 182.40 ± 7.42 cm, 82.23 ± 10.84 kg) performed 3 sets of BP and SQ to failure at 70 and 90% 1RM on separate days with normal breathing (CON) or 30 sec of VH during inter-set rest periods.\u0000Results: There were no significant differences between conditions for repetitions, power, velocity and sRPE (p’s > 0.05) at either intensity. VH resulted in a slight attenuation of blood lactate accumulation between sets 2 and 3 of SQ (p = 0.037). There was a significant condition and intensity interaction for SmO2 of the pectoralis (p = 0.034) with VH producing higher SmO2 at 90% 1RM and lower SmO2 at 70% 1RM than the CON.\u0000Conclusions: Voluntary hyperventilation did not produce an ergogenic effect in recreationally trained individuals which, when considering current evidence, suggests other factors including training experience, may influence the effectiveness of VH.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134104492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Utilizing the Maximum Workload Range for Practice Periodization","authors":"Gabriel J. Sanders, C. Peacock","doi":"10.53520/rdsp2022.10533","DOIUrl":"https://doi.org/10.53520/rdsp2022.10533","url":null,"abstract":"Commentary\u0000The maximum workload range (max range) is a concept suggested by Sanders et al.1 regarding a method used to prescribe adequate practice workloads based off wearable technology data. The max range is calculated as follows from game data:\u0000Max Range = (Mean Total Distance + 1 St. Dev.) to (Maximum Total Distance)\u0000While the example provided utilizes total distance, the max range can be applied to key performance indicators such as high-speed distance, training load, jumps, etc. that are tracked throughout the competitive season in team sports. The max range concept was developed from research that found 12-17% of the time, football athletes, depending on position, accumulated game workloads outside their position’s mean + 1SD. Anecdotally, many coaches and practitioners use simple game averages as a control for ideal practice volumes. Based on previous research, using the game average as control training threshold may result in some high performing athletes being under-conditioned. It is reasonable to suggest that potential compound effects may occur throughout an entire season if athletes are not engaging in rigorous training loads that mimic game-like volumes and intensities.\u0000Figure 1. Theoretical football periodization structure for a defensive back using the max range for high intensity training days.\u0000","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Increased Anxiety and Decreased Confidence Lead to Poorer Short-Passing Performance in Collegiate Soccer Players","authors":"Mohammed Bila, A. Hillman","doi":"10.53520/rdsp2021.10520","DOIUrl":"https://doi.org/10.53520/rdsp2021.10520","url":null,"abstract":"Introduction: Competitive soccer players are required to perform short passing under stressful conditions; their success may be related to their self-confidence and anxiety levels. The purpose of this study was to examine the relationship between short-passing ability and anxiety and self-confidence among collegiate soccer players.\u0000Methods: Seventeen Division III collegiate soccer players (20.0 ± 1.0 years, 65% female) completed the Athletic Coping Skills Inventory (ACSI), Sport Competition Anxiety Test (SCAT), Trait Sport-Confidence Inventory (TSCI), and Competitive State Anxiety Inventory-2 (CSAI-2R) and the Loughborough Soccer Passing Test (LSPT). Spearman’s rho (rs) was used to identify if a relationship between these inventories and LSPT time existed.\u0000Results: Mean LSPT total time was 55.7 ± 12.0 seconds. We observed positive relationships between SCAT and LSPT total time (rs = .51, p = .04) and CSAI-2R and LSPT total time (rs = .55, p =.03). Furthermore, a strong negative relationship was found between TSCI and LSPT total time (rs = -.68, p = .004).\u0000Conclusions: There is a relationship between anxiety, confidence and short-passing performance in collegiate soccer players. Coaches should consider interventions to decrease players’ anxiety and improve self-confidence in preparation for soccer competition.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134231974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Alterations in Surface Electromyography of the Upper Leg Muscles at Specified Respiratory Exchange Ratio Thresholds Ranges During a Maximal Exercise Test","authors":"Olivia Cooper","doi":"10.53520/rdsp2021.10510","DOIUrl":"https://doi.org/10.53520/rdsp2021.10510","url":null,"abstract":"Introduction: Assessing muscle electromyography (EMG) in conjunction with physiological alterations to exercise may be valuable to determine a more holistic approach to exercise-induced fatigue.\u0000Methods: Thirteen, recreationally trained individuals (n = 7 female, n = 6 males) underwent a maximal exercise test. Throughout the test, physiological variables were measured in addition to surface electromyography (sEMG) of the upper legs. Physiological and sEMG data was then grouped in to four category thresholds based on respiratory exchange ratios (RER) greater than 0.95.\u0000Results: There was a main effect of group (p < 0.001) as an increase in exercise intensity assessed by RER threshold ranges resulted in a subsequent reductions in sEMG frequencies with the exception of the sEMG frequencies recorded at VO2peak (p < 0.055).\u0000Conclusions: Upper leg sEMG frequencies decrease with increases in high intensity exercise, with the exception of near maximal loads.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126403035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mental State as a Governor of Human Performance","authors":"Tony Ricci","doi":"10.53520/rdsp2021.1058","DOIUrl":"https://doi.org/10.53520/rdsp2021.1058","url":null,"abstract":"For decades, athletes and coaches have touted the magnitude of the mind and its governance in human performance. Bobby Jones once stated that “golf is a game played on a five-inch course, the distance between your ears.” Sport psychologists and mental performance coaches collaborate with athletes in an effort to find, define, and replicate the optimal mental state when performing. The optimal mental state is often referred to as the “zone”, or “flow.” This is a state in which an athlete performs to the best of his or her ability”. While there is some understanding of this mental state, questions remain as to what extent the mind can impact human performance and/or affect physiology. Can one’s unwavering belief (perception) in their ability to accomplish a task at hand upregulate physiological qualities that determine such capacities? The breaking of a milestone in human performance, the sub 4:00 minute mile and the subsequent efforts certainly allows us to entertain the aforementioned question.","PeriodicalId":332159,"journal":{"name":"Research Directs in Strength and Performance","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131710276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}