Abstract:The purpose of this study was to examine physiological and physical determinants of ice-hockey performance in order to assess their impact on the result during a selection for ice hockey. A total of 42 ice hockey players took part in the selection camp. At the end of the camp 20 best players were selected by team of expert coaches to the ice hockey team and created group G1, while the second group (G2) consisted of not selected players (non-successful group Evaluation of goodness of fit of the model to the dat… Show more
“…There is a correlation between the success of international teams and the body mass indicator and body mass index (BMI) [17]. A similar relationship is revealed in relation to the rating of hockey leagues within individual countries [18].…”
mentioning
confidence: 65%
“…This is indicated by a shift in the values of the centile distribution to the right and an increase in BMI. BMI of 14 years old hockey players has become more approximate to the values of adult highly skilled hockey players [16][17][18]. Compared to peer-to-peer players [29,30], hockey players of this age have large BMI values, length and body weight.…”
Section: Pedagogics Psychologymentioning
confidence: 99%
“…During this period, the risk of injury significantly increases. This is especially noticeable in hockey with a puck [13,17].…”
Purpose:Identify the age features of hockey players aged 13-16 years old physical development.
Material:Elite hockey players (n = 83, age -13-16 years) were surveyed. Standard anthropometric methods for measuring length and body weight were used. The body mass index (BMI) was calculated.
Results:The average value of the body length of hockey players did not differ from peers, who do not engage in sports. The cental distribution of the absolute values of the indicator relative to nomograms has been shifted to the right. Most hockey players had average body lengths. The excess of the average body weight of hockey players was recorded in comparison with the average population values. The cental distribution of absolute values was characterized by a significant shift to the right (range 3% -90% percentile). Most hockey players had a body weight "above average" (55-66%). The group of athletes with body weight and BMI "below average" was 6% (age from 13 to 15 years).
Conclusions:The physical development of elite hockey players is characterized by an average body length with a tendency to shift to values "above average". The proportion of hockey players with mean body lengths below the midpopulation is very small. Elite hockey players are characterized by large body weight and BMI compared to peers who do not engage in sports. As the age increases from the morphological criteria, the body weight and BMI have the greatest value for the hockey player's success in sports selection.
“…There is a correlation between the success of international teams and the body mass indicator and body mass index (BMI) [17]. A similar relationship is revealed in relation to the rating of hockey leagues within individual countries [18].…”
mentioning
confidence: 65%
“…This is indicated by a shift in the values of the centile distribution to the right and an increase in BMI. BMI of 14 years old hockey players has become more approximate to the values of adult highly skilled hockey players [16][17][18]. Compared to peer-to-peer players [29,30], hockey players of this age have large BMI values, length and body weight.…”
Section: Pedagogics Psychologymentioning
confidence: 99%
“…During this period, the risk of injury significantly increases. This is especially noticeable in hockey with a puck [13,17].…”
Purpose:Identify the age features of hockey players aged 13-16 years old physical development.
Material:Elite hockey players (n = 83, age -13-16 years) were surveyed. Standard anthropometric methods for measuring length and body weight were used. The body mass index (BMI) was calculated.
Results:The average value of the body length of hockey players did not differ from peers, who do not engage in sports. The cental distribution of the absolute values of the indicator relative to nomograms has been shifted to the right. Most hockey players had average body lengths. The excess of the average body weight of hockey players was recorded in comparison with the average population values. The cental distribution of absolute values was characterized by a significant shift to the right (range 3% -90% percentile). Most hockey players had a body weight "above average" (55-66%). The group of athletes with body weight and BMI "below average" was 6% (age from 13 to 15 years).
Conclusions:The physical development of elite hockey players is characterized by an average body length with a tendency to shift to values "above average". The proportion of hockey players with mean body lengths below the midpopulation is very small. Elite hockey players are characterized by large body weight and BMI compared to peers who do not engage in sports. As the age increases from the morphological criteria, the body weight and BMI have the greatest value for the hockey player's success in sports selection.
“…Moreover, when the intensity of an ice-hockey game is high, the actual engagement of the player’s anaerobic systems may depend on the efficiency of his aerobic system. Aerobic processes play an important role in the resynthesis of energy substrates, which are necessary to exercise at high intensity (Roczniok et al, 2016; Stanula et al, 2014). Cox et al (1995) analyzed detraining effects on the physiological profile of ice-hockey players during a competitive season.…”
The study aimed to determine the values of selected aerobic and anaerobic capacity variables, physical profiles, and to analyze the results of on-ice tests performed by ice-hockey players relegated to a lower league. Performance of 24 ice-hockey players competing in the top league in the 2012/2013 season was analysed to this end. In the 2013/2014 season, 14 of them still played in the top league (the control group), while 10 played in the first league (the experimental group). The study was conducted one week after the end of the playoffs in the seasons under consideration. The results revealed that only in the experimental group the analysed variables changed significantly between the seasons. In the Wingate test, significant changes were only noted in mean relative power (a decrease from 9.91 to 9.14 W/kg; p=0.045) and relative total work (a decrease from 299.17 to 277.22 J/kg; p=0.048). The ramp test indicated significantly lower power output in its final stages (364 compared with 384 W; p=0.034), as well as a significant decrease in relative VO2max (from 52.70 to 48.30 ml/min/kg). Blood lactate concentrations were recorded at the 3rd, 6th, 9th and 12th min of recovery after the ramp test. The rate of post-exercise recovery, ∆LA, recorded after the ramp test turned out to be significantly lower. The times recorded in the on-ice “6x30 m stop” test increased from 32.18 to 33.10 s (p=0.047). The study showed that playing in a lower league where games were less intensive, training sessions shorter and less frequent, had an adverse effect on the performance level of the investigated players. Lower VO2max recorded in the study participants slowed down their rates of post-exercise recovery and led to a significantly worse performance in the 6x30 m stop test, as well as lower relative power and relative total work in the Wingate test.
“…5,7 Furthermore, maximal oxygen uptake (VO 2max ) is important for ice hockey players' ability to perform repeated sprints. 8,9 Therefore, muscular strength, power, and VO 2max are viewed as important physical determinants of ice hockey performance, 1,10 and ice hockey players should seek to improve such off-ice capacities to enhance their skating performance. 4 Throughout the competitive season, muscle fiber cross-sectional area has been shown to decrease, 11 with the aerobic capacity being unchanged.…”
Team sports like ice hockey require high levels of performance in numerous physical characteristics such as strength, power, and endurance. As such, training is associated with a potential interference effect. The present study randomized well‐trained ice hockey players into a block periodization group (BP; n = 8), focusing on the development of either strength and power or endurance on a weekly, undulating basis, and a traditional group (TRAD; n = 8), performing a mixed training model, with simultaneous focus of strength, power, and endurance training every week. During the 6‐week intervention, the two groups performed equal volumes and intensities of both strength, power, and endurance training. BP led to larger improvements than TRAD in knee extension peak torque at 180° s−1 (6.6 ± 8.7 vs −4.2% ± 6.3%, respectively; P < 0.05) and maximal oxygen uptake (5.1 ± 3.3 vs 1.1% ± 3.5%, respectively; P < 0.05). There was also a trend toward larger improvements in BP than TRAD in peak torque in knee extension at 60° s−1 (2.1 ± 2.5 vs −0.1% ± 2.5%, respectively; P < 0.1, effect size = 0.83) and mean power output during a 30‐s cycling sprint (4.1 ± 2.5 vs −0.3% ± 5.9%, respectively; P < 0.1, effect size = 0.89). Overall, BP exhibited a moderate to large effect size for all these variables compared to TRAD. The present study suggests that block periodization of strength and endurance training induces superior adaptations in both strength and endurance capacities in well‐trained ice hockey players compared to traditional mixed organization, despite similar training volume and intensity.
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