Physiological Correlates of Skating Performance in Women's and Men's Ice Hockey

Gilenstam, Kajsa; Thorsen, Kim; Henriksson-Larsén, Karin

doi:10.1519/jsc.0b013e3181ecd072

Cited by 53 publications

(40 citation statements)

References 46 publications

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“…The strength of relationship seen between the results of the analysis of RER 1.05 and race performance are on par with those reported for other measures of the anaerobic threshold and performance (35). In particular the 2 recent studies that have examined RER in combination with athletic performance (1,10) reported moderate to strong correlations, similar to those seen in the present investigation. Although many of those comparisons were made with more controlled situations (i.e., road races or laboratory tests).…”

Section: Discussionsupporting

confidence: 85%

Modeling and Relationship of Respiratory Exchange Ratio to Athletic Performance

Bellar¹,

Judge²

2012

Journal of Strength and Conditioning Research

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Previous research has related the results of tests of maximum aerobic capacity to performance for endurance athletes. These results are often only able to predict the running velocity of races such as the marathon. This investigation sought to determine the absolute V[Combining Dot Above]O2 at various respiratory exchange ratio (RER) values (0.85, 0.90, 0.95, 1.0, 1.05, and 1.10) by using a third-order polynomial regression to model the physiological responses for V[Combining Dot Above]O2 and RER obtained from an assessment of maximum aerobic capacity. The V[Combining Dot Above]O2 determined was subsequently correlated to race performance. The participants in the study were selected from a population of National Collegiate Athletic Association Division 1 crosscountry runners (male n = 7, female n = 7, age 20.5 ± 0.9 years; height 170.3 ± 8.2 cm; weight 59.7 ± 8.7 kg; V[Combining Dot Above]O2max 57.0 ± 7.8 ml O2·kg·min). Third-order regression analysis resulted in strong curve fitting between the variables (r = 0.949 ± 0.03). Partial correlations (controlled for weight) were used to assess the relationship between oxygen consumption at the desired points of RER and race performance. The partial correlations revealed that the absolute oxygen consumptions at all RER points of interest were significantly correlated to race performance (r > 0.740, p < 0.01). There was a significant difference in the strength of the correlations for the points RER 0.95 (t = 2.68957, p = 0.01), 1.0 (t = 2.18516, p = 0.03), and 1.05 (t = 1.85668, p = 0.04) and the correlations found for RER 0.85. After converting the oxygen consumption at the RER points to estimated horizontal running speeds, only the estimate at RER 1.05 was not statistically different from the actual speed achieved in the culminating XC race. It can be suggested based upon these results that coaches of collegiate crosscountry runners who engage in metabolic testing of athletes examine the estimated running pace at RER 1.05 to gain an insight into a runner's potential.

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Section: Discussionsupporting

confidence: 85%

Modeling and Relationship of Respiratory Exchange Ratio to Athletic Performance

Bellar¹,

Judge²

2012

Journal of Strength and Conditioning Research

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“…Research on female hockey, and particularly competitive-level female hockey, is somewhat limited 5. However, because of different biological, sociocultural, and financial preconditions, knowledge of male hockey cannot outright be applied on female hockey 7. Thus, while skating is considered the most important skill in ice hockey,8 factors that might best explain key performance characteristics of skating in competitive-level female ice hockey remains largely unknown.…”

Section: Introductionmentioning

confidence: 99%

Laboratory- and field-based testing as predictors of skating performance in competitive-level female ice hockey

Henriksson¹,

Vescovi²,

Fjellman‐Wiklund³

et al. 2016

OAJSM

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ObjectivesThe purpose of this study was to examine whether field-based and/or laboratory-based assessments are valid tools for predicting key performance characteristics of skating in competitive-level female hockey players.DesignCross-sectional study.MethodsTwenty-three female ice hockey players aged 15–25 years (body mass: 66.1±6.3 kg; height: 169.5±5.5 cm), with 10.6±3.2 years playing experience volunteered to participate in the study. The field-based assessments included 20 m sprint, squat jump, countermovement jump, 30-second repeated jump test, standing long jump, single-leg standing long jump, 20 m shuttle run test, isometric leg pull, one-repetition maximum bench press, and one-repetition maximum squats. The laboratory-based assessments included body composition (dual energy X-ray absorptiometry), maximal aerobic power, and isokinetic strength (Biodex). The on-ice tests included agility cornering s-turn, cone agility skate, transition agility skate, and modified repeat skate sprint. Data were analyzed using stepwise multivariate linear regression analysis. Linear regression analysis was used to establish the relationship between key performance characteristics of skating and the predictor variables.ResultsRegression models (adj R2) for the on-ice variables ranged from 0.244 to 0.663 for the field-based assessments and from 0.136 to 0.420 for the laboratory-based assessments. Single-leg tests were the strongest predictors for key performance characteristics of skating. Single leg standing long jump alone explained 57.1%, 38.1%, and 29.1% of the variance in skating time during transition agility skate, agility cornering s-turn, and modified repeat skate sprint, respectively. Isokinetic peak torque in the quadriceps at 90° explained 42.0% and 32.2% of the variance in skating time during agility cornering s-turn and modified repeat skate sprint, respectively.ConclusionField-based assessments, particularly single-leg tests, are an adequate substitute to more expensive and time-consuming laboratory assessments if the purpose is to gain knowledge about key performance characteristics of skating.

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“…A personal daily logbook was given to each subject for recording exercise, to ensure training load within the given prescription and furthermore note if any health problem occurred during the study period. Aerobic performance was assessed with an incremental test on an electronically braked bicycle (Monark, 839 E, Sweden) with a metabolic gas measurement system (Meta Max II, CORTEX, Bio physic GmbH, Leipzig, Germany), method described in Gilenstam et al [20]. For each individual, the cycle ergo meter tests were identically performed at the two occasions, approximately at the same time of the day and with same technical assistance.…”

Section: Methodsmentioning

confidence: 99%

Physiology of Blood Components in Wound Healing: an Appreciation of Cellular Co-Operativity in Platelet Rich Plasma Action

Parrish¹

2017

JESO

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Open Access Research Articletraining sessions and periods, [19,30,31]and the time needed for recovery is considered to be much longer compared to OR [22]. Because of both gradual onset of OR and gradual transition from OR to OTS, it is important to detect symptoms at an early stage [30].No single, specific, and reliable biological parameter to diagnose OR and OTS at an early stage has been found, and there has been only little improvement in recent years in developing tools suitable for diagnostics [1,22,30,45]. Hence, physicians and trainers are looking for new ways to diagnose and monitor athletes that may be at risk [1,28].The resting cortisol level has been suggested to play an interesting role in detecting OR and OTS since it is thought to indicate stress [19,31]. However, levels of resting cortisol has been both increased, decreased and unchanged in over trained athletes, and the research has mainly been performed on male athletes [3,18,25,32,33,44,46].Female athletes have become a common part of the sports environment [21]and since most research has been performed on male athletes, studies on female athletes are warranted. Oral Contraceptive (OC) use is prevalent in female athletes [21,41] and the impact of OC use and non-use on cortisol levels in female athletes are not well studied. Hence the influence of both the exogenous and the endogenous hormonal profiles on athletic performance should be investigated [41]. An administration of estrogen, as in women with OC use, can cause increase in total plasma cortisol [8,10], and in free cortisol [39]. Coolens et al. [12] showed elevated cortisol levels in estrogen treated women, but unbound cortisol levels were similar to the control group. Since estrogen could influence cortisol levels, studies on female athletes should include both OC users and nonusers. Moreover, since seasonal periodicity in various endocrine functions can occur [24,37] it seems crucial to determine if this may effect cortisol levels differently in OC users and non-users. As the role of cortisol in indicating stress is multifaceted and complex there is a need to investigate both seasonal variation and impact of oral contraceptive use on cortisol levels to evaluate if cortisol could be used to diagnose and monitor female athletes that may be at risk to develop OR and OTS. AbstractWhen athletes optimize their physical performance, an imbalance could occur between the strain of training, time for recovery and the athlete's individual tolerance of stress that could lead to overreaching and overtraining syndrome. Cortisol has been suggested to be a biological, diagnostic marker to detect overreaching and overtraining syndrome, since it is thought to indicate stress. This study aimed to provide normative data on cortisol levels, hence investigate seasonality and impact of oral contraceptive use to elucidate if cortisol could be used as a diagnostic marker to detect overreaching and overtraining syndrome in female athletes. The women, divided in two groups, oral contraceptive users (n = 15) and ...

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Physiological Correlates of Skating Performance in Women's and Men's Ice Hockey

Cited by 53 publications

References 46 publications

Modeling and Relationship of Respiratory Exchange Ratio to Athletic Performance

Modeling and Relationship of Respiratory Exchange Ratio to Athletic Performance

Laboratory- and field-based testing as predictors of skating performance in competitive-level female ice hockey

Physiology of Blood Components in Wound Healing: an Appreciation of Cellular Co-Operativity in Platelet Rich Plasma Action

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