33 research outputs found

    Previous Participation In Fifa World-cup: The Key To Success?

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    This qualitative-descriptive investigation examining the influence exerted by experienced soccer-players on the ranking obtained from the four best-ranked by their teams in the last four FIFA World Cups (WC). They were divided into experienced-players (at least one WC participation [+1WC]) or non-experienced players (no previous participation [1WC]). Thereafter, they were classified according to their contribution in each of the playoff matches in a given WC: STARTER (started all matches); START/SUBST (started at least one match); SUBST/BENCH (did not start any matches, but replaced a player in at least one match); and BENCH (did not participate in matches). The sample was composed of 33.7% experienced and 66.3% non-experienced players. The number of players +1WC in finalist teams was significantly higher than in the non-finalist teams (p<0.05). In addition, when compared with the non-finalist teams, the finalists presented significantly higher number of players STARTER with +1WC (p<0.05). Possibly, the selection of experienced players to participate in WC may be an effective strategy to achieve better competitive performance.222737

    Centesimal Age and Relative Age Effect in Elite Futsal Players

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    International Journal of Exercise Science 13(6): 329-341, 2020. To investigate centesimal age (CA) and relative age effect (RAE) in elite male futsal players their date of birth and court-position were accessed through the official FIFA website. The absolute and relative frequency distributions of player births were quantified by quartiles and semesters. The two-way ANOVA and the Chi-Square analysis were applied to check for possible differences. The results showed a mean CA of 27.76 ± 4.11 years with no differences for both playing positions and competitions. In addition, no significant differences were found between quartiles or between semesters. The results suggest that elite male futsal athletes reach optimal competitive performance close to 27 years. Neither playing position nor geographical location may affect RAE, which seems to not affect the competitive performance (ranking) of elite male futsal players. These findings may help practitioners to understand the RAE phenomenon in futsal. In conclusion, being born in the early months of the year appears not to be important to successful performances in futsal. Overall, futsal athletes take about two decades to achieve their best performance. Coaches and researchers should consider the implementation of long-term training strategies (»20 years) to progressively and effectively develop young futsal players

    The laboratory-assessed performance predictors of elite cross-country marathon mountain bikers

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    The study aimed to investigate the relationship between laboratory-assessed variables and cross-country marathon mountain biking (XCM-MTB) performance to suggest a more practical approach to monitor performance during the competitive phase. Nine elite athletes performed a battery of tests during the competitive phase of the season, one week before the race. Correlations between the physiological and neuromuscular laboratory-assessed variables and mean race completion time were verified and a multiple regression model was calculated. Cycling economy (r=0.86), power output at the first (POVT1; r=-0.73) and second ventilatory threshold (POVT2; r=-0.94), VO2peak (r=-0.71), peak power output (r=-0.91); peak power (r=-0.80), and mean power (r=-0.85) were very strongly related to race performance. TMG-derivate factors as rectus femoris (r=-0.61) and biceps femoris (r=-0.59) contraction velocity, 30-cm drop jump performance (r=-0.59), mean propulsive power in jump squat at 40% (JS40%; r=-0.65) and 60% (JS60%; r=-0.62) of athlete’s body weight and lower limbs maximal isometric voluntary strength (r=-0.59) were strongly related to race completion time. In an isolated way, the POVT2 explained 87% of race performance. Although both physiological and neuromuscular variables are related to XCM performance, the POVT2 seems to be the main variable during the competitive phase and an easy-to-apply approach should be used to monitor athletes’ performance

    Perceived training load and jumping responses following nine weeks of a competitive period in young female basketball players

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    The aims of this study were to describe the session rating of perceived exertion (sRPE), total quality recovery (TQR), and variations in countermovement jump (CMJ) height throughout nine weeks of a competitive period in young female basketball players. In total, 10 young female basketball players (17.2 ± 0.4 years; 71.8 ± 15.0 kg; 177.2 ± 9.5 cm) participated in this study. The sRPE and TQR were assessed in each training session, whereas the CMJ height was assessed prior to the first weekly training session. The magnitude-based inferences method was used to compare the sRPE, TQR, and CMJ height across the nine weeks of training. The training loads accumulated in weeks 1, 2, and 3 were likely to almost certainly be higher than in the following weeks (ES varying from 0.67 to 2.55). The CMJ height in week 1 was very likely to be lower than in weeks 2, 5, 7, and 8 (ES varying from 0.24 to 0.34), while the CMJ height of the 9th week was likely to almost certainly be higher than all previous weeks of training (ES varying from 0.70 to 1.10). Accordingly, it was observed that when higher training loads were accumulated, both CMJ and TQR presented lower values than those presented during periods with lower internal training loads. These results highlight the importance of using a comprehensive and multivariate approach to effectively monitor the physical performance of young athletes

    Comparison Of Physical Performance Among Brazilian Elite Soccer Players Of Different Age-categories

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    The purpose of this study was to compare the physical performance (i.e., strength, power, speed and endurance) between Brazilian elite soccer players from different categories of the same club: professionals (PRO), under-20 (U-20), and under-17 (U-17). METHODS: Seventy-one soccer players from three categories (PRO=24; U-20=21 and U-17=26) were assessed at the beginning of pre-season. Before the tests, they were familiarized with all experimental procedures. Squat jump (SJ), countermovement jump (CMJ), sprint (10 m/20 m), maximum dynamic strength (1RM), and Yo-Yo intermittent recovery tests level 1 were performed in three non-consecutive sessions. RESULTS: No significant differences were found between the categories for sprint times. The PRO players presented higher outcomes in the 1RM, SJ, CMJ, and Yo-Yo tests than the U-20 and U-17 players (P <= 0.05). No significant differences were found between the U-20 and U-17 players in 1RM, and SJ/CMJ heights. The U-20 presented superior performance than the U-17 in the Yo-Yo test (P <= 0.05). CONCLUSIONS:The findings indicated that PRO performed better than younger players in all assessments, except for the sprint tests. This may have been possible due to the differences in training experience, technical expertise and individual levels of strength/power. However, the absence of differences between the U-20 and U-17 groups highlighted the necessity of developing specific training strategies in order to improve the physical capacities of younger players, throughout the maturation process. Moreover, due to the importance of sprinting in soccer, it is strongly recommended that fitness coaches develop more effective strategies to improve speed ability in professional players.56437638

    <b>Level of flexibility through sit and reach test from research performed in SĂŁo Paulo city </b>

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    The objective of this study was to examine the level of flexibility in men and women of different ages by the sit-and-reach test and to classify them according to the Canadian Standardized Test of Fitness (CSTF). The results were used to elaborate a new table that reflects the population studied. The sample consisted of 16,405 physically active and inactive subjects who were divided according to age: 15 to 19 (n = 954), 20 to 29 (n = 2916), 30 to 39 (n = 2161), 40 to 49 (n = 2333), 50 to 59 (n = 2739), 60 to 69 (n = 3195), and > 70 years (n = 2107). Percentiles were calculated using the original test scores and the 20th, 40th, 60th and 80th percentiles were used as cut-offs for classification as poor, below the average, average, above the average and excellent, respectively. According to the CSTF classification, the age groups from 15 to 39 years were classified as poor, with mean flexibility ranging from 24.805±9.684 to 26.130± 10.111 cm in women and from 21.480±9.905 to 22.848±9.648 cm in men. In the 40- to 69-year age groups, mean flexibility ranged from 22.768±9.627 to 25.396±9.547 in women and from 16.396±10.136 to 19.935±9.192 cm in men and was classified as below the average. Although most of the subjects performed regular exercise, the mean flexibility level observed did not correspond to the average suggested by the CSTF, demonstrating the importance of elaborating national reference tables and of establishing new normative values such as the table proposed in this study

    High-intensity intermittent exercise and its effects on heart rate variability and subsequent strength performance

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    PRUPOSE: To investigate the effects of a 5-km high-intensity interval exercise (HIIE) on heart rate variability (HRV) and subsequent strength performance. METHODS: nine trained males performed a control session composed of a half-squat strength exercise (4 x 80% of one repetition maximum – 1RM) in isolation and 30-min, 1-, 4-, 8- and 24-h after an HIIE (1-min at the velocity peak:1-min passive recovery). All experimental sessions were performed on different days. The maximum number of repetitions and total weight lifted during the strength exercise were registered in all conditions; in addition, prior to each session, HRV were assessed [beat-to-beat intervals (RR) and log-transformed of root means square of successive differences in the normal-to-normal intervals (lnRMSSD)]. RESULTS: Performance in the strength exercise dropped at 30-min (31%) and 1-h (19%) post-HIIE concomitantly with lower values of RR (781±79 ms; 799±134 ms, respectively) in the same recovery intervals compared to the control (1015±197 ms). Inferential analysis did not detect any effect of condition on lnRMSSD, however, values were lower after 30-min (3.5±0.4 ms) and 1-h (3.3±0.5 ms) with moderate and large effect sizes (0.9 and 1.2, respectively) compared with the control condition (3.9±0.4 ms). CONCLUSION: Both RR and lnRMSSD seem to be associated with deleterious effects on strength performance, although further studies should be conducted to clarify this association

    Short-Term Cardiac Autonomic Recovery after a Repeated Sprint Test in Young Soccer Players

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    The aim of this study was to describe the time course (within 2 h post-exercise) of heart rate variability (HRV) recovery following a traditional repeated sprint ability (RSA) test applied to youth soccer players. Twenty-four young soccer players (18.4 &#177; 0.5 years) undertook the following assessments: (1) 10 min rest in the seated position for HRV assessment; (2) a repeated sprint ability (RSA) test; (3) passive recovery in the seated position for 10 min, immediately after finishing the RSA test and 1 h and 2 h post-RSA test. During the HRV measurements (using the natural log of root mean square difference of successive normal RR intervals&#8212;lnRMSSD) the participants were instructed to assume a comfortable sitting position, remaining awake and breathing spontaneously for 10 min. Magnitude-based inference was used in the analyses. After the RSA test, the post-1 h measure was almost certainly lower than the resting measure, but almost certainly higher than the lnRMSSD measured post-RSA test. The lnRMSSD post-2 h was likely lower than the resting lnRMSSD and very likely higher than post-1 h. In conclusion, lnRMSSD is severely depressed after performing an RSA test, and reactivation is incomplete after 2 h of passive recovery. This result should be considered by practitioners when applying successive training sessions within intervals shorter than 2 h

    Loaded and unloaded jump performance of top-level volleyball players from different age categories

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    The aim of this study was to investigate the differences in loaded and unloaded jump performances between different age categories of top-level volleyball players from the same club. Forty-three volleyball players were divided into four age groups: under-17, under-19, under-21 and professional. Vertical jumping height for squat jump (SJ), countermovement jump (CMJ) and CMJ with arm swing (CMJa) and mean propulsive velocity (MPV) in the loaded jump squat exercise with 40% of the athlete’s body mass were compared among the different age categories, considering body mass as a covariate. SJ and CMJ jump height values were higher for professional and under-21 players than under-17 players (p<0.05). CMJa height was higher for under-21 players than under-19 and under-17 players (p<0.05). MPV in the loaded jump squat was higher for under-21 players than under-17 players (p<0.05). From a general perspective, these results suggest that aging per se is not capable of substantially improving loaded and unloaded vertical jump performances across different age categories of top-level volleyball players. Therefore, to increase the vertical jumping ability of these team sport athletes throughout their long-term development, coaches and strength and conditioning professionals are encouraged to implement consistent neuromuscular training strategies, in accordance with the specific needs and physiological characteristics of each age group

    Level of flexibility through sit and reach test from research performed in SĂŁo Paulo city

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    The objective of this study was to examine the level of flexibility in men and women of different ages by the sit-and-reach test and to classify them according to the Canadian Standardized Test of Fitness (CSTF). The results were used to elaborate a new table that reflects the population studied. The sample consisted of 16,405 physically active and inactive subjects who were divided according to age: 15 to 19 (n = 954), 20 to 29 (n = 2916), 30 to 39 (n = 2161), 40 to 49 (n = 2333), 50 to 59 (n = 2739), 60 to 69 (n = 3195), and > 70 years (n = 2107). Percentiles were calculated using the original test scores and the 20th, 40th, 60th and 80th percentiles were used as cut-offs for classification as poor, below the average, average, above the average and excellent, respectively. According to the CSTF classification, the age groups from 15 to 39 years were classified as poor, with mean flexibility ranging from 24.805±9.684 to 26.130± 10.111 cm in women and from 21.480±9.905 to 22.848±9.648 cm in men. In the 40- to 69-year age groups, mean flexibility ranged from 22.768±9.627 to 25.396±9.547 in women and from 16.396±10.136 to 19.935±9.192 cm in men and was classified as below the average. Although most of the subjects performed regular exercise, the mean flexibility level observed did not correspond to the average suggested by the CSTF, demonstrating the importance of elaborating national reference tables and of establishing new normative values such as the table proposed in this study.O objetivo do estudo foi identificar o nível de flexibilidade de homens e mulheres de diferentes faixas etárias através do teste de sentar e alcançar seguindo protocolo do Canadian Standardized Test of Fitness (CSTF); classificá-los de acordo com a tabela sugerida pelo mesmo e, a partir dos resultados obtidos elaborar uma nova tabela normativa que reflita a população estudada. Participaram do estudo 16.405 sujeitos (11.114 mulheres e 5.291 homens) praticantes e não praticantes de exercícios físicos regulares, divididos em grupos etários: 15 a 19 (n=954), 20 a 29 (n=2916), 30 a 39 (n=2161), 40 a 49 (n=2333), 50 a 59 (n=2739), 60 a 69 (n=3195), acima de 70 (n=2107). Os percentis foram calculados com escores do teste original e como pontos de corte considerou-se os percentis 20, 40, 60 e 80 para classificação fraco, abaixo da média, média, acima da média, excelente, respectivamente. De acordo com as classificações do CSTF as faixas etárias entre 15 e 39 anos foram classificadas como fraco, com média de flexibilidade variando entre 24,80±9,68cm e 26,13±10,11cm no feminino e entre 21,48±9,90cm e 22,84±9,64cm no masculino. Nas categorias de 40 a 69 a média variou entre 22,76±9,62cm e 25,39±9,54cm no feminino e entre 16,39±10,13cm e 19,93±9,19cm no masculino, ficando abaixo da média. Apesar de a maioria da amostra ser praticante de exercício físico regular, a média do nível de flexibilidade apresentada não correspondeu à média sugerida pela tabela canadense demonstrando a importância de se construir tabelas de referências nacionais e se estabelecer novos valores normativos como a tabela proposta pelo presente trabalho
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