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1.
J Musculoskelet Neuronal Interact ; 20(4): 488-497, 2020 12 01.
Artículo en Inglés | MEDLINE | ID: mdl-33265076

RESUMEN

OBJECTIVE: the purpose of this study was to identify differences in hamstring passive stiffness between the pre-season and in-season periods. METHODS: Hamstring strength and passive stiffness were measured in professional male soccer players before and after the pre-season (4 weeks), and after the in-season (6 weeks) periods using an isokinetic dynamometer. Muscle passive stiffness was determined from the slope of the passive torque-angle relationship. External loads (acceleration and jumps) were monitored by GPS and internal loads by questionnaire. RESULTS: Hamstring passive stiffness increased after 10 weeks of training and matches, without changes in passive peak torque and range of motion. The hamstring passive stiffness modifications were associated with the volume and intensity of accelerations and jumps. The individual data analysis also provided some support for the suppression of the biomechanical adaptation in the subjects with relatively large external load. CONCLUSIONS: Regular training and match workouts increase hamstring passive stiffness in professional soccer players but the adaptation of muscle-tendon unit passive elements might not occur if players experience excessive mechanical stress.


Asunto(s)
Ejercicio Físico/fisiología , Músculos Isquiosurales/fisiología , Fuerza Muscular/fisiología , Tono Muscular/fisiología , Fútbol/fisiología , Adaptación Fisiológica/fisiología , Adulto , Atletas , Humanos , Masculino
2.
Percept Mot Skills ; 119(3): 971-84, 2014 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-25456252

RESUMEN

Players within the same age group may present different physical and physiological profiles. This study classified young soccer players according to their physical and physiological profiles obtained during the training sessions and compared classification by age and playing position criteria. 151 male elite Portuguese soccer players (under 15, under 17, and under 19 years old) participated. Time-motion and body acceleration and deceleration data were collected using GPS technology with heart rate monitored continuously across the selected training sessions. The data were grouped using two-step cluster analysis to classify athletes. A repeated-measures factorial ANOVA was performed to identify differences in the variables. Three clusters comprised 15.2%, 37.1%, and 47.7% of the total sample, respectively. Players of the same ages and playing experience had different performance profiles. Grouping players with similar physiological profiles during training sessions may allow coaches to balance oppositions and reduce the variability of the physiological outcomes.


Asunto(s)
Atletas/estadística & datos numéricos , Rendimiento Atlético/fisiología , Rendimiento Atlético/estadística & datos numéricos , Resistencia Física/fisiología , Fútbol/fisiología , Fútbol/estadística & datos numéricos , Aceleración , Adolescente , Distribución por Edad , Análisis de Varianza , Análisis por Conglomerados , Desaceleración , Frecuencia Cardíaca/fisiología , Humanos , Masculino , Destreza Motora/fisiología , Carrera/fisiología , Carrera/estadística & datos numéricos
3.
J Strength Cond Res ; 26(4): 976-81, 2012 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-22446670

RESUMEN

The purpose of this study was to identify the variation of heart rate (HR), rating of perceived exertion (RPE), and technical actions between 2 soccer small-sided games (SSGs; 3 × 3 and 4 × 4) in 3 game type constraints (when playing only offense [OFF], playing only defense [DEF], and both situations [GAME]). Sixteen high-level young male players were analyzed (age 15.75 ± 0.45 years; height 172.4 ± 4.83 cm; body mass 64.5 ± 6.44 kg; HRmax199.1 ± 9.08 b·min(-1); and 8.06 ± 1.98 years of soccer practice). All tasks were performed in 4 periods of 4 minutes interspersed with 2 minutes of active recovery. The HR was measured continuously and then analyzed by the time spent into 4 training zones according to individual %HRmax (zone 1 <75%; zone 2 75-84.9%; zone 3 85-89.9%; and zone 4 ≥90%). Results identified that players were most frequently in zones 2 and 3. The 3 × 3 SSGs elicited higher HR and RPE and the most intense situation was GAME. Despite the known higher frequencies from technical actions in SSGs with fewer players, player effectiveness in 3 × 3 and 4 × 4 was identical. The use of GAME, OFF, and DEF game type constraints should be carefully planned. Using the 3 × 3 format seems more adequate when aiming for aerobic performance optimal effects; however, DEF situations should only be used to promote aerobic recovery effects. The inclusion of an additional player in SSGs had different interactions in game type constraints, and only GAME presented adequate intensity.


Asunto(s)
Frecuencia Cardíaca/fisiología , Esfuerzo Físico/fisiología , Fútbol/fisiología , Adolescente , Rendimiento Atlético/fisiología , Humanos , Masculino , Resistencia Física/fisiología
4.
Int J Sports Physiol Perform ; 9(3): 463-70, 2014 May.
Artículo en Inglés | MEDLINE | ID: mdl-23920425

RESUMEN

PURPOSE: To provide the time-motion and physiological profile of regular training sessions (TS) performed during the competitive season by under-15 (U15), under-17 (U17), and under-19 (U19) elite-level Portuguese soccer players. METHODS: One hundred fifty-one elite players of U15 (age 14.0 ± 0.2 y, n = 56), U17 (age 15.8 ± 0.4 y, n = 66), and U19 (age 17.8 ± 0.6 y, n = 29) participated in the study during a 9-wk period. Time-motion and body-impact data were collected using GPS technology (15 Hz) across 38 randomly selected TS that resulted in a total of 612 samples. In addition, heart rate (HR) was continuously monitored (1 Hz) in the selected TS. RESULTS: The total distances covered (m) were higher in U17 (4648.3 ± 831.9), followed by U19 (4212.5 ± 935.4) and U15 (3964.5 ± 725.4) players (F = 45.84, P < .001). Total body impacts and relative impacts were lower in U15 (total: 490.8 ± 309.5, F = 7.3, P < .01), but no differences were identified between U17 (total: 584.0 ± 363.5) and U19 (total: 613.1 ± 329.4). U19 players had less high- and very-high-intensity activity (above 16 km/h; F = 11.8, P < .001) and moderate-intensity activity (10.0-15.9 km/h; F = 15.07, P < .001). HR values showed significant effects of zone (F = 575.7, P < .001) and interaction with age group (F = 9.7, P < .001), with pairwise differences between all zones (zone 1, <75%; zone 2, 75-84.9%; zone 3, 85-89.9%; zone 4, ≥90%). All players spent most of their time below 75% HRmax (U15, ~50%; U17, ~42%; U19, ~50%). CONCLUSION: Results showed high variability between TS, refraining from identifying meaningful trends when measuring performance, although different demands were identified according to age group. The U15 TS were less physiologically demanding, probably because of increased focus on small-sided games to develop basic tactical principles and technical skills. The focus on game-like situations imposed higher external and internal workloads on U17 and U19 players.


Asunto(s)
Rendimiento Atlético , Acondicionamiento Físico Humano/métodos , Fútbol , Estudios de Tiempo y Movimiento , Aceleración , Adolescente , Factores de Edad , Conducta Competitiva , Desaceleración , Sistemas de Información Geográfica , Frecuencia Cardíaca , Humanos , Masculino , Destreza Motora , Portugal , Carrera , Factores de Tiempo
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