Changes in Young Swimmers' In-Water Force, Performance, Kinematics, and Anthropometrics over a Full Competitive Season.

The aim of the present study was to analyze changes in young swimmers' in-water force, performance, kinematics, and anthropometrics during one full competitive season. Twenty-five swimmers (11 girls and 14 boys, 12.04 ± 0.16 years) were assessed over four distinct time points throughout a competitive season. The in-water force of both hands (D, dominant; ND, non-dominant) was retrieved during two bouts of 25 m front crawl allowing the estimation of the symmetry index. The velocity (v25) was calculated from the time to complete the 25 m and considered the performance outcome, while the stroke rate, stroke length, and the stroke index were used as kinematic variables. For anthropometric variables, body mass, stature, arm span and the hand surface area were measured. The in-water force (16-24%) and performance (8%) improved over the competitive season with significant changes in the first macrocycle. The stroke index was the only kinematic variable that changed between M1 and M4 (12.7%), accompanied by a higher asymmetric motion later in the season. A time effect was found in the stature (p < 0.001, ηp 2 = 0.71), the arm span (p < 0.001, ηp 2 = 0.79), and the hand surface area (D = p < 0.001, ηp 2 = 0.63; ND = p < 0.001, ηp 2 = 0.666). Swimming performance showed associations with in-water force, stroke efficiency and anthropometric features in all time points of the season. Thus, the natural anthropometric growth experienced over the season may translate into a more efficient swimming pattern with greater in-water forces that can enhance performance.

EFFECTS OF VARIATION IN EXERCISE TRAINING LOAD ON COGNITIVE PERFORMANCES AND NEUROTROPHIC BIOMARKERS IN PATIENTS WITH CORONARY ARTERY DISEASE.

PURPOSE: This study compared the effects of linear (LP) and non-linear (NLP) training periodization on resting cognitive functions, neurotrophic biomarkers (brain-derived neurotrophic factor [BDNF], insulin-like growth factor-1 [IGF-1]), and cathepsin-B in patients with coronary artery disease (CAD). METHODS: Forty-four patients with CAD reported to our laboratory on two occasions to undergo testing procedures before and after training sessions, and were then blindly randomized to NLP or LP for 36 training sessions. Visit 1 included blood samples and a maximal cardiopulmonary exercise testing to get maximal oxygen uptake (V̇O2peak). Visit 2 included cognitive functions assessment. RESULTS: Thirty-nine patients completed the study (LP: n=20, NLP: n=19), with no observed changes in cognitive performances after the training intervention in either group. IGF-1 concentration decreased in both groups (time-effect: p<0.001), while BDNF concentration increased (time-effect: p<0.05) without interaction (p=0.17 and p=0.65, respectively), and cathepsin-B did not change after the intervention (p>0.05). Associations were found between ΔV̇O2peak and ΔBDNF (R2=0.18, p=0.04), and ΔIGF-1 and Δ short-term/working memory (R2=0.17, p=0.01) in the pooled sample, with Δ IGF-1 and ΔBDNF accounting for 10% of the variance in Δ short-term/working memory. In the LP group, associations were found between ΔV̇O2peak and ΔBDNF (R2=0.45, p=0.02), ΔBDNF and Δ short-term/working memory (R2=0.62, p=0.004), ΔIGF-1 and Δ short-term/working memory (R2=0.31, p=0.01), and Δ IGF-1 and Δ executive function (R2=0.22, p=0.04). CONCLUSION: This finding highlights the potential importance of monitoring and targeting BDNF and IGF-1 concentration as potential biomarkers for improving short-term and working memory in the population with CAD.

In-Season Training Load Variation - Heart Rate Recovery, Perceived Recovery Status, and Performance in Elite Male Water Polo Players: A Pilot Study.

BACKGROUND: Increased training and competition demands of the in-season period may disturb athlete fatigue and recovery balance. The aim of this study was to describe the training load distribution applied in a competitive period and the training adaptations and fatigue/recovery status of elite water polo players. HYPOTHESIS: Effective workload management during tapering (TAP) would restore player recovery and enhance performance. STUDY DESIGN: Case series. LEVEL OF EVIDENCE: Level 4. METHODS: Training load, perceived recovery, maximal speed in 100- and 200-meter swim, heart rate (HR) during submaximal swimming (HRsubmax) and HR recovery (HRR) were assessed in 7 outfield water polo players a week before starting a normal training microcycle (NM), after NM, and after congested (CON) and TAP training blocks in the lead-up to the Final Eight of the European Champions League. RESULTS: Training load was higher in NM compared with CON and TAP by 28.9 ± 2.6% and 42.8 ± 2.1% (P < 0.01, d = 11.54, and d = 13.45, respectively) and higher in CON than TAP by 19.4 ± 4.2% (P < 0.01, d = 3.78). Perceived recovery was lower in CON compared with NM and TAP (P < 0.01, d = 1.26 and d = 3.11, respectively) but not different between NM and TAP (P = 0.13, d = 0.62). Both 100- and 200-meter swim performance was improved in TAP compared with baseline (P < 0.01, d = 1.34 and d = 1.12, respectively). No differences were detected among other training blocks. HRsubmax and most HRR were similar among the training periods. CONCLUSION: Effective management of training load at TAP can restore recovery and improve swimming performance without affecting HR responses. CLINICAL RELEVANCE: Despite lower workloads, CON training impairs perceived recovery without affecting performance; however, a short-term training load reduction after a CON fixture restores recovery and improves performance.

Training Characteristics, Performance, and Body Composition of Three U23 Elite Female Triathletes throughout a Season.

(1) Background: There is a lack of data on the long-term training characteristics and performance markers of elite young female endurance athletes. The aim of this study was to present the training load (ECOs), as well as the evolution of the anthropometric values and performance of three elite U23 female triathletes over a season. (2) Methods: General training data and performance data relating to the swimming, cycling, and running legs of the 2021 season were described. The training intensity distribution (TID) was presented using the triphasic model, while the training load was based on the ECO model. An anthropometric analysis was also conducted in accordance with the ISAK standards. (3) Results: Triathletes increased their VO2max in cycling (6.9-10%) and running (7.1-9.1%), as well as their power and speed associated with the VO2max (7.7-8.6% in cycling and 5.1-5.3% in running) and their swimming speed associated with the lactate thresholds (2.6-4.0% in LT2 and 1.2-2.5% in LT1). The triathletes completed more than 10 h of weekly average training time, with peak weeks exceeding 15 h. The average TID of the three triathletes was 82% in phase 1, 6% in phase 2, and 12% in phase 3. A decrease in the sum of skinfolds and fat mass percentage was observed during the season in the three triathletes, although the last measurement revealed a stagnation or slight rise in these parameters. (4) Conclusions: The triathletes performed a combination of two training periodization models (traditional and block periodization) with a polarized TID in most of the weeks of the season. Improvements in performance and physiological parameters were observed after the general preparatory period as well as a positive body composition evolution throughout the season, except at the end, where the last measurement revealed stagnation or a slight decline. This study can be useful as a general guide for endurance coaches to organize a training season with female U23 triathletes.

Effects of 4 Different Velocity-Based Resistance-Training Programming Models on Physical Performance.

PURPOSE: To examine the effects of 4 programming models (linear [LP], undulating [UP], reverse [RP], and constant [CP]) on physical performance. METHODS: Forty-eight moderately strength-trained men were randomly assigned to LP, UP, RP, and CP groups according to their 1-repetition maximum (1RM) in the full-squat exercise (SQ) and followed an 8-week training intervention using the SQ and monitoring movement velocity for every repetition. All groups trained with similar mean relative intensity (65% 1RM), number of repetitions (240), sets (3), and interset recovery (4 min) throughout the training program. Pretraining and posttraining measurements included, in the SQ, 1RM load, the average velocity attained for all absolute loads common to pretests and posttests (AV), and the average velocity for loads that were moved faster (AV > 1) and slower (AV < 1) than 1 m·s-1 at pretraining tests. Moreover, countermovement jump height and 20-m running sprint time were measured. RESULTS: A significant time effect was found for all variables analyzed (P < .05), except for 20-m running sprint time. Significant group × time interactions were observed for 1RM, AV > 1, and AV (P < .05). After training, all groups attained significant strength gains on 1RM, AV, AV > 1, and AV < 1 (P < .001-.01). LP and RP groups improved their countermovement jump height (P < .01), but no significant changes were observed for UP and CP. No significant improvements were achieved in 20-m running sprint time for any groups. CONCLUSIONS: These different programming models are all suitable for improving physical performance. LP and RP induce similar or greater gains in physical performance than UP and CP.

Annual Volume and Distribution of Physical Training in Norwegian Female Cross-Country Skiers and Biathletes: A Comparison Between Sports, Competition Levels, and Age Categories-The FENDURA Project.

PURPOSE: To describe and compare the annual physical training characteristics between Norwegian female cross-country (XC) skiers and biathletes across competition levels and age categories. METHODS: Daily training sessions for 1 year were recorded for 45 XC skiers and 26 biathletes, comprising international/national team (inter[national]) and nonnational/regional team members (nonnational) of both junior and senior age. Endurance, strength, flexibility, speed, and power training sessions were recorded. Data included exercise modality, intensity, and duration. Data were analyzed using linear mixed-effects models. RESULTS: The total annual physical training volume consisted of ∼90% endurance training for both groups, although XC skiers had significantly higher total volumes (∼10%; P = .003; d = 0.78) than biathletes. Senior XC skiers performed more training hours of skiing and/or roller skiing compared with biathletes over the season. However, biathletes compensated for this lower volume by more skating and a higher proportion of endurance training as skiing (81% [17%]) compared with XC skiers (68% [16%]; P < .001; d = 0.94). Overall, (inter)national-level athletes completed a higher annual training volume than non-national-level athletes (740 [90] h vs 649 [95] h; P = .004;d = 0.81). Although juniors reported less endurance volume than seniors, they maintained a relatively stable level of endurance training across the preparatory and competition period, unlike senior athletes. CONCLUSIONS: The higher annual physical training volume by XC skiers compared with biathletes is likely caused by the different demands of the 2 sports; XC skiing necessitates training for 2 skiing styles, while biathlon requires additional shooting practice. However, biathletes compensate with a higher proportion of ski training, particularly in the skating technique.

Training characteristics and performance of two male elite short-distance triathletes: From junior to "world-class".

OBJECTIVE: The sports-science literature lacks data on training and performance characteristics of international elite athletes over multiple seasons. The present case study provided general training characteristics and performance data of two male short-distance triathletes in the Junior, U23, and international Elite categories. METHODS: General training and performance data of two male elite triathletes were described in swimming, cycling, and running segments from the 2015 to 2022 season. The training load was presented using the ECO model while the training intensity distribution (TID) was a triphasic model. RESULTS: Both triathletes increased their performance throughout the seasons. Triathlete A increased his VO2max in cycling by 20.6%, in running by 16.7%. His power at VO2max and his speed at VO2max by 18.9% and 11.0%, respectively. Triathlete B improved his VO2max by 17.8% in cycling, by 16.1% in running and his power at VO2max by 24%, and his speed at VO2max by 14.3%. The triathletes trained on average 14-17 h a week. The TID model was polarized. CONCLUSIONS: To achieve the top international level, it is necessary to consider the following measures: training load progression; improvements in physiological variables; and participation in international events starting from youth categories.

Acute physiological, perceived exertion and enjoyment responses during a 4-week basketball training: a small-sided game vs. high-intensity interval training.

Introduction: Although previous research found that small-sided game (SSG) training was more enjoyable than high-intensity interval training (HIT) in various sports, no data were provided during longer training period in basketball. Furthermore, the comparison of internal loads between the two training approaches needs to be further examined. Thus, this study aimed to examine the acute physiological, perceived exertion and enjoyment responses during 4-week progressive basketball SSG or HIT programs. Methods: Nineteen female collegiate basketball players were randomly assigned to two groups that performed either HIT (n = 10) or SSG (n = 9) 3 times per week for 4 continuous weeks. Average and percentage of maximal heart rate (HRmean and %HRmax), rating of perceived exertion (RPE), and physical activity enjoyment (PACES) were determined during each training session. Results: There was a main group effect in PACES (p < 0.001; ηp2 = 0.44, moderate), and SSG had higher PACES than HIT in each week (p < 0.05). There were no significant interactions or main group effects in HRmean, %HRmax or RPE, but a main time effect was found in HRmean (p = 0.004; ηp2 = 0.16, minimum), %HRmax (p < 0.001; ηp2 = 0.25, minimum), and RPE (p < 0.001; ηp2 = 0.31, moderate), respectively. In the SSG group, although no significant differences were found in HR responses, %HRmax was below 90% in week 1 and week 2. Accompanied with changes in %HRmax, RPE in week 1 and week 2 was lower than that in week 3 and week 4 (p < 0.05). Conclusion: Our findings suggest that SSG and HIT elicit similar acute HR response and RPE level, but SSG is perceived as more enjoyable and therefore it is more likely to increase exercise motivation and adherence comparing to HIT. Moreover, it seems that half-court, 2 vs. 2 SS Gtraining format with modified rules and lasting ≥ 7.5 min should be prescribed as an enjoyable training alternative to provide optimal cardiovascular stimuli (> 90% of HRmax) for female basketball players.

Perception of military specialists on physical preparation in the armed forces / Percepción de los especialistas militares sobre la preparación física en las fuerzas armadas

This work analyzes the perception of military specialists in Physical Education on how physical preparation is implemented and could be optimized in the Armed Forces. It is a quantitative, descriptive study (N = 227) having created an ad hoc questionnaire to collect these perceptions. The results indicate that the facilitators believe that: i. The current physical preparation and its evaluation bear little relation to the possible operational contexts; ii. Health and military instruction are perceived as the main training objectives; iii. The traditional training methodology does not seem to be the most suitable to achieve the operational objectives of the Units; iv. The most relevant physical qualities are swimming skill, strength, and endurance; v. The training contents during the mesocycle are still based mainly on running and calisthenics, performed at a moderate intensity; vi. Specific preparation before, during and after Operations should be increased. (AU)

Este trabajo analiza la percepción de diplomados militares en Educación Física sobre cómo se implementa y podría optimizarse la preparación física en las Fuerzas Armadas. Es un estudio cuantitativo, descriptivo (N = 227) habiéndose creado un cuestionario ad hoc para recoger estas percepciones. Los resultados señalan que los diplomados opinan que: i. La preparación física actual y su evaluación tienen poca relación con los posibles contextos operativos; ii. La salud y la instrucción se perciben como los principales objetivos formativos; iii. La metodología tradicional del entrenamiento no parece ser la más idónea para conseguir los objetivos operativos de las Unidades; iv. Las cualidades físicas consideradas más relevantes son competencia en agua, fuerza y resistencia; v. Los contenidos de entrenamiento durante el mesociclo se siguen basando fundamentalmente en la carrera y la calistenia, realizados a una intensidad moderada; vi. Debe incrementarse la preparación específica antes, durante y después de las Operaciones. (AU)

The Road to Becoming a World Champion in Futsal.

PURPOSE: The aim of the current study was to report the training program and monitoring outcomes of the Portuguese national futsal team during the preparation and competition phases of the FIFA Futsal World Cup Lithuania 2021™. For that, the variations in training load and wellness were measured, as well as their relationship. METHODS: The study followed a retrospective cohort design. For all field training sessions, the volume, exercise structure, and area of play were identified. Player load, session rating of perceived exertion (sRPE), and wellness were collected. Descriptive statistics and Kruskal-Wallis tests were used for comparison purposes. A visualization method was used for load and well-being. RESULTS: No significant differences were observed in the number of training sessions, session duration, and player load between preparation and competitive periods. sRPE showed significantly higher values in preparation than in competition periods (P < .05, d = 0.86) and significant differences between weeks (P < .05, d = 1.08). Wellness showed a general statistical difference between periods (P < .001, d = 1.28) and weeks (P < .05, d = 1.17). The correlation analysis for the overall period revealed a general linear relationship within variables of training load and wellness (P < .001). Variations occurred for preparation and competition periods. The visualization method through quadrant plots allowed us to understand the adaptation of the team and the players over the specific period under analysis. CONCLUSIONS: Through this study, it was possible to better understand the training program and monitoring strategies of a high-performance futsal team over a high-level tournament.

Effects of plyometric training on different 8-week training intensity distributions in well-trained endurance runners.

The aim of this four-armed parallel group randomized-controlled trial was to evaluate if plyometric training could have different effects on running performance and physiological adaptations depending on the training intensity distribution (TID) in an 8-week intervention in endurance athletes. Sixty well-trained male runners (age: 34 ± 6 years, relative ⩒O2peak : 69 ± 3 ml kg-1  min-1 ) were recruited and allocated to a pyramidal (PYR), pyramidal + plyometric training (PYR + PLY), polarized (POL), and polarized + plyometric training (POL + PLY) periodization. The periodization patterns were isolated manipulations of TID, while training load was kept constant. Participants were tested pre- and post-intervention for body mass, velocity at 2 and 4 mmol·L-1 of blood lactate concentration (vBLa2, vBLa4), absolute and relative ⩒O2peak and 5-km running time trial performance, counter movement jump and squat jump. There were significant group × time interactions for vBla4 (p = 0.0235), CMJ (p = 0.0234), SJ (p = 0.0168), and 5-km running time trial performance (p = 0.0035). Specifically, vBla4 and 5-km running time trial performance showed the largest post-intervention improvements in PYR + PLY (2.4% and 1.6%) and POL + PLY (2.1% and 1.8%), respectively. No significant interactions were observed for body mass, absolute and relative ⩒O2peak , peak heart rate, lactate peak and rating of perceived exertion. In conclusion, an 8-week training periodization seems to be effective in improving performance of well-trained endurance runners. Including plyometric training once a week appeared to be more efficacious in maximizing running performance improvements, independently from the TID adopted.

The Relationship between Training Cycle-Dependent Fluctuations in Resting Blood Lactate Levels and Exercise Performance in College-Aged Rugby Players.

An increase in resting blood lactate (La-) concentration due to metabolic conditions has been reported. However, it is not clear whether resting La- changes with training cycles in athletes. The purpose of this study was to test the hypotheses that (1) the morning resting La- levels are lower in periods of high training compared to periods of low training and (2) these changes in La- concentration are related to athletes' metabolic capacity during exercise in male college-aged rugby players. Resting La- and blood glucose concentrations were measured in the morning in eight league rugby players during the summer pre-season period (Pre-period), the training and competition season period (TC-period), and the winter post-season period (Post-period). In each period, anaerobic power, La- concentration, and respiratory responses were measured during the 40 s maximal Wingate anaerobic test (WT). The resting La- concentration in the morning was significantly lower in the TC-Period (1.9 ± 0.6 mmol/L) than in the Post-Period (2.3 ± 0.9 mmol/L). The rate of decrease in La- level immediately after the 40 s WT was significantly higher in the TC-Period than in the Post-Period. The resting La- concentration was significantly correlated with the peak oxygen uptake and the carbon dioxide output during the WT. These results support the hypothesis that an athlete's training cycle (i.e., in season and off season) influences the resting La- levels as well as the metabolic capacity during high-intensity exercise. The monitoring of resting La- fluctuations may provide a convenient indication of the training cycle-dependent metabolic capacity in athletes.

Road to Tokyo 2020 Olympic Games: Training Characteristics of a World Class Male Triathlete.

There is a growing interest in the scientific literature for reporting top-class endurance athletes training programs. This case study reports on the training program of a world-class male triathlete preparing to compete in the Tokyo 2020 Olympic Games. A macrocycle of 43 weeks is presented. The triathlete performed 14.74 ± 3.01 h of weekly endurance training volume. Training intensity distribution (TID) was 81.93% ± 6.74%/7.16% ± 2.03%/10.91% ± 6.90% for zones 1 (low intensity, VT2) respectively. Pyramidal TID model is observed during the initial stages of the periodization and Polarized TID model is observed at the end of the macrocycle. The triathlete's peak ⩒O2 was increased by 20% on cycling and by 14% on running. Peak power was increased by 3.13% on cycling test and peak speed by 9.71% on running test. Finally, the triathlete placed 12th in Olympic distance and 10th in Mixed Relay in Tokyo 2020 Olympic games.

The Training Characteristics of World-Class Distance Runners: An Integration of Scientific Literature and Results-Proven Practice.

In this review we integrate the scientific literature and results-proven practice and outline a novel framework for understanding the training and development of elite long-distance performance. Herein, we describe how fundamental training characteristics and well-known training principles are applied. World-leading track runners (i.e., 5000 and 10,000 m) and marathon specialists participate in 9 ± 3 and 6 ± 2 (mean ± SD) annual competitions, respectively. The weekly running distance in the mid-preparation period is in the range 160-220 km for marathoners and 130-190 km for track runners. These differences are mainly explained by more running kilometers on each session for marathon runners. Both groups perform 11-14 sessions per week, and ≥ 80% of the total running volume is performed at low intensity throughout the training year. The training intensity distribution vary across mesocycles and differ between marathon and track runners, but common for both groups is that volume of race-pace running increases as the main competition approaches. The tapering process starts 7-10 days prior to the main competition. While the African runners live and train at high altitude (2000-2500 m above sea level) most of the year, most lowland athletes apply relatively long altitude camps during the preparation period. Overall, this review offers unique insights into the training characteristics of world-class distance runners by integrating scientific literature and results-proven practice, providing a point of departure for future studies related to the training and development in the Olympic long-distance events.

Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners.

The aim of this study was to investigate the effects of four different training periodizations, based on two different training intensity distributions during a 16-week training block in well-trained endurance runners. Sixty well-trained male runners were divided into four groups. Each runner completed one of the following 16-week training interventions: a pyramidal periodization (PYR); a polarized periodization (POL); a pyramidal periodization followed by a polarized periodization (PYR â†’ POL); and a polarized periodization followed by a pyramidal periodization (POL â†’ PYR). The PYR and POL groups trained with a pyramidal or polarized distribution for 16 weeks. To allow for the change in periodization for the PYR â†’ POL and POL â†’ PYR groups, the 16-week intervention was split into two 8-week phases, starting with pyramidal or polarized distribution and then switching to the other. The periodization patterns were isolated manipulations of training intensity distribution, while training load was kept constant. Participants were tested pre-, mid- and post-intervention for body mass, velocity at 2 and 4 mmol·L-1 of blood lactate concentration (vBLa2, vBLa4), absolute and relative peak oxygen consumption ( V ˙ O 2 peak ) and 5-km running time trial performance. There were significant group × time interactions for relative V ˙ O 2 peak (p < 0.0001), vBLa2 (p < 0.0001) and vBLa4 (p < 0.0001) and 5-km running time trial performance (p = 0.0001). Specifically, participants in the PYR â†’ POL group showed the largest improvement in all these variables (~3.0% for relative V ˙ O 2 peak , ~1.7% for vBLa2, ~1.5% for vBLa4, ~1.5% for 5-km running time trial performance). No significant interactions were observed for body mass, absolute V ˙ O 2 peak , peak heart rate, lactate peak and rating of perceived exertion. Each intervention effectively improved endurance surrogates and performance in well-trained endurance runners. However, the change from pyramidal to polarized distribution maximized performance improvements, with relative V ˙ O 2 peak representing the only physiological correlate.

International Swimming League: Do Successive Events Lead to Improve Swimming Performance?

PURPOSE: To quantify the impact of successive competitions on swimming performance in world-class swimmers. METHODS: An entire data set of all events swum during a new competition named the International Swimming League was collected. A Bayesian linear mixed model has been proposed to evaluate whether a progression could be observed during the International Swimming League's successive competitions and to quantify this effect according to event, age, and gender. RESULTS: An overall progression of 0.0005 (0.0001 to 0.0010) m/s/d was observed. The daily mean progression (ie, faster performance) was twice as high for men as for women (0.0008 [0.00 to 0.0014] vs 0.0003 [-0.0003 to 0.0009] m·s-1). A tendency toward higher progression for middle distances (200 and 400 m) and for swimmers of a higher caliber (above 850 FINA [Fédération Internationale de Natation] points) was also observed. Swimmers between 23 and 26 years of age seemed to improve their swimming speed more in comparison with the other swimmers. CONCLUSIONS: This new league format, which involves several competitions in a row, seems to allow for an enhancement in swimming performance. Coaches and their support staff can now adapt their periodization plan in order to promote competition participation.

A Competitive Sprinter's Resting Blood Lactate Levels Fluctuate with a One-Year Training Cycle: Case Reports.

It has been reported that the variability of resting blood lactate concentration (BLa) is related to metabolic capacity. However, it is unclear whether the resting BLa of athletes can be utilized as a metabolic biomarker. This longitudinal case study tested the hypothesis that resting BLa levels in the morning fluctuate with a 1-year training cycle. The subject was an adult male sprinter, and BLa and blood glucose at the time of waking were measured every day for 1 year. The training cycles were divided into five phases: 1. Basic training: high-intensity and high-volume load; 2. Condition and speed training: high-intensity and low-volume load; 3. Competition training I: track race and high-intensity load; 4. Conditioning for injury; 5. Competition training II. The mean BLa levels in the basic training (1.10 ± 0.32 mmol/L and competition training I (1.06 ± 0.28 mmol/L) phases were significantly lower than in the condition and speed training (1.26 ± 0.40 mmol/L) and conditioning injury (1.37 ± 0.34 mmol/L) phases. The clarified training cycle dependence of resting BLa is suggested to be related to the ability to utilize lactate as an energy substrate with fluctuations in oxidative metabolic capacity. This case report supports the tentative hypothesis that resting BLa may be a biomarker index linked to the metabolic capacity according to the training cycle.

A densidade como uma "não tão nova" métrica da quantificação de cargas no treinamento de força / Work to rest ratio as a "not so new"metric to quantify strength training loads

O objetivo dessa carta resposta foi tecer algumas considerações sobre o ponto de vista do manuscrito "A densidade como uma nova métrica da quantificação de cargas no treinamento de força", publicado nessa tradicional revista brasileira. Erroneamente, os autores apontaram que o termo work to rest ratio utilizado no estudo Blood Pressure Response During Resistance Training of Different Work-to-Rest Ratio e publicado no Journal of Strength Conditioning Research estaria equivocado. Os autores também sugerem que a densidade seja calculada apenas pela fórmula: total de peso levantado/total de pausa. Isso limitaria o cálculo da densidade em métodos isométricos de treinamento de força, que podem ter a densidade calculada pela fórmula: tempo de tensão muscular/total de pausa. Essa breve comunicação amplia o contexto conceitual e de aplicação prática dessa métrica que é pouco conhecida no treinamento de força. (AU)

The aim of this reply letter was to present some considerations about the point of view of the manuscript "Density as new metric to quantify strength training loads", published in this traditional Brazilian journal. The authors erroneously pointed out that term "work to rest ratio" used in the study "Blood Pressure Response During Resistance Training of Different Work-to-Rest Ratio" and published in Journal of Strength Conditioning Research, would be wrong. The authors also suggest that density must be calculated only by the formula: total weight lifted / total rest interval. This would limit density calculation in isometric strength training methods, which can have density calculated by the formula: muscle tension time / total rest interval. This brief communication broadens the conceptual context and practical application of this metric that is little known in strength training. (AU)

A densidade como uma nova métrica da quantificação de cargas no treinamento de força / Density as a new metric to quantify strength training loads

O objetivo do estudo foi realizar um breve comunicado sobre a adoção da densidade com uma nova métrica de quantificação de cargas no treinamento de força. Descrevemos como quantificá-la e destacamos as possíveis implicações da sua manipulação. Uma vez que considera o intervalo de recuperação entre as séries - onde podem ocorrer processos metabólicos importantes, como a ressíntese de fosfocreatina - a densidade pode ser um parâmetro representativo da magnitude do estresse metabólico induzido pelas sessões. Recomendamos que treinadores e pesquisadores da área de ciências do esporte passem a reportar quantificar e reportar a densidade dos treinos. Técnicas de treinamento que manipulam as pausas entre as séries, repetições e exercícios, como os treinos em circuito, o restpause, cluster training, intra-set rest e/ou inter-repetion rest, podem ter novas análises e, consequentemente, resultados interessantes a serem reportados.(AU)

The aim of the study was to provide a short communication about the adoption of density as a new metric to quantify strength training loads. We describe how quantify and highlighted the possible implications of density manipulation. Since considers the rest interval between sets - where important metabolic process such as phosphocreatine resynthesizes may occurs ­ density may represent the magnitude of metabolic stress induced by training session. In this sense, is recommended that sports sciences coach's and researchers report the training density. Training techniques that manipulate the rest intervals between sets, repetitions, and exercises, such as circuit tra ining, rest pause, cluster training, intra-set rest, and/or inter-repetition rest may have new analysis, and consequently interesting results to be reported.(AU)

Effect of Training Phase on Physical and Physiological Parameters of Male Powerlifters.

Longitudinal research on training and dietary practices of natural powerlifters is limited. This study investigated the effect of phases of training on physical and physiological parameters in male natural powerlifters. Nine participants completed testing at two time points: (i) preparatory phase (~3 months prior to a major competition) and (ii) competition phase (1-2 weeks from a major competition). No significant changes between training phases were found for muscle strength and power. A trend for significance was found for decreased muscle endurance of the lower body (-24.4%, p = 0.08). A significant increase in leg lean mass was found at the competition phase (2.3%, p = 0.04), although no changes for other body composition measures were observed. No change was observed for any health marker except a trend for increased urinary creatinine clearance at the competition phase (12.5%, p = 0.08). A significant reduction in training volume for the lower body (-75.0%, p = 0.04) and a trend for a decrease in total energy intake (-17.0%, p = 0.06) was observed during the competition phase. Despite modifications in training and dietary practices, it appears that muscle performance, body composition, and health status remain relatively stable between training phases in male natural powerlifters.