Secondary Logo

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

Gilenstam, Kajsa M1,2; Thorsen, Kim1; Henriksson-Larsén, Karin B1

Journal of Strength and Conditioning Research: August 2011 - Volume 25 - Issue 8 - p 2133-2142
doi: 10.1519/JSC.0b013e3181ecd072
Original Research
Free

Gilenstam, KM, Thorsen, K, and Henriksson-Larsén, KB. Physiological correlates of skating performance in women's and men's ice hockey. J Strength Cond Res 25(8): 2133-2142, 2011—The purpose of the current investigation was to identify relationships between physiological off-ice tests and on-ice performance in female and male ice hockey players on a comparable competitive level. Eleven women, 24 ± 3.0 years, and 10 male ice hockey players, 23 ± 2.4 years, were tested for background variables: height, body weight (BW), ice hockey history, and lean body mass (LBM) and peak torque (PT) of the thigh muscles, o2peak and aerobic performance (Onset of Blood Lactate Accumulation [OBLA], respiratory exchange ratio [RER1]) during an incremental bicycle ergometer test. Four different on-ice tests were used to measure ice skating performance. For women, skating time was positively correlated (p < 0.05) to BW and negatively correlated to LBM%, PT/BW, OBLA, RER 1, and o2peak (ml O2·kg−1 BW−1·min−1) in the Speed test. Acceleration test was positively correlated to BW and negatively correlated to OBLA and RER 1. For men, correlation analysis revealed only 1 significant correlation where skating time was positively correlated to o2peak (L O2·min−1) in the Acceleration test. The male group had significantly higher physiological test values in all variables (absolute and relative to BW) but not in relation to LBM. Selected off-ice tests predict skating performance for women but not for men. The group of women was significantly smaller and had a lower physiological performance than the group of men and were slower in the on-ice performance tests. However, gender differences in off-ice variables were reduced or disappeared when values were related to LBM, indicating a similar capacity of producing strength and aerobic power in female and male hockey players. Skating performance in female hockey players may be improved by increasing thigh muscle strength, oxygen uptake, and relative muscle mass.

1Sports Medicine Unit, Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden; and 2Graduate School of Gender Studies, Umeå Center for Gender Studies, Umeå University, Umeå, Sweden

Address correspondence to Kajsa M. Gilenstam, kajsa.gilenstam@idrott.umu.se.

Back to Top | Article Outline

Introduction

In sport, a number of different laboratory and field tests have been used to evaluate the physical abilities of athletes to determine individual strengths and weaknesses to serve as a base for planning a training program or to assess the effect of training programs (38,45). Anthropometrics, body composition, flexibility, and strength are usually measured with easily available and simple test tools (caliper, bench press repetitions, vertical jump tests, etc.). Aerobic and anaerobic capacities are also often measured by field tests that are considered to reflect aerobic and anaerobic performances such as the 20-m shuttle run test and sprint tests, respectively (45).

Ice hockey is described as a physically demanding sport, where bouts of high intensity are interspersed with periods of rest, requiring the use of both anaerobic and aerobic energy systems (12,21,50).

Off-ice physiological fitness in ice hockey has been studied previously (10-12,17,19,22,23,26,34,40,41), and in some investigations, off-ice tests have been used to predict on-ice skating performance (9,17,34).

On-ice tests have been used to assess physical fitness as well (7,15,19,23,32). Depending on the structure of the test, on-ice tests for ice hockey players may measure skill and physiologic fitness (41). A test involving predominantly forward skating is considered better for measurement of fitness, whereas a more complex test has been reported to result in greater performance differences between players of different skill levels (41). On-ice performance in male players has been found to be correlated to playing level, which was suggested to be a result of player selection (17). In ice hockey, it has been recommended to use laboratory tests with more sophisticated equipment to measure aerobic and anaerobic capacities, such as the ergometer cycle test and Wingate cycle test (12). However, it has recently been shown that off-ice o2max values and lactate thresholds are not adequate predictors of on-ice o2max and lactate thresholds in young male ice hockey players (16).

Women's ice hockey is a substantially smaller sport compared to the male version of the game. A few milestones in the history of women's hockey were the first world championship for women in 1990 and the inclusion in the Olympic program in 1998 (52), and the number of women ice hockey players is growing. The body of physiological research on women's ice hockey is small, but recent research has studied the physiological profiles of women's ice hockey players, both off- and on-ice (8,9,19). The relationship between off- and on-ice performance has also been studied in women's synchronized figure skating (6).

The most important predictors for skating speed for both women and men have been found to be jump tests (5,9,17,34) and off-ice sprint tests (5,9,17). Isokinetic muscle strength has also been found to be correlated to skating speed for men (34).

When test results are compared between different groups of athletes, it may be important to include more variables into the comparison before similarities or differences in physiological performance are interpreted. Body weight (BW) and body composition are important factors to consider, especially in weight-bearing sports (3). In ice hockey, added weight has been shown to reduce skating speed (39) and Farlinger et al. suggest that weight has to be accounted for when physiological tests are used to predict skating speed (17).

If comparisons are made between women and men, one might thus have to consider possible differences in body size, body composition, and player experience. In general, adult women have a higher percentage of body fat compared to adult men (18), primarily because of hormonal factors (53). Therefore, women have a lower power-to-total-weight ratio because power output is related to lean body mass (LBM) (51).

Only 1 previous study has compared off- and on-ice performance between women and men. This study found that young (10-15 years) female and male hockey players had similar off-ice performance (except for a higher fat% in the women) but that the male players outperformed the female players on-ice. Difference in on-ice performance was attributed to more playing experience (8). When interviewed, women players considered themselves second class hockey players because of poorer on-ice performance (20). However, their comparisons were solely based on their perception of on-ice performance, even though other important factors for performance were mentioned in the interviews (i.e., playing experience, practice conditions, etc.). To our knowledge, no previous study has compared adult women and men ice hockey players regarding off-ice or on-ice performance.

Even though field tests provide useful information, laboratory testing allows more detailed investigations of strength, anaerobic and aerobic performance, and body composition in relation to skating performance. To enable more detailed investigation of the different physiological variables laboratory testing was chosen instead of simple field tests.

This study wants to address the existing lack of comparative studies between adult women and men ice hockey players concerning the relationship between the on-ice and off-ice performance in relation to BW and body composition. The purpose of this study was thus to identify physiological variables that predict skating performance for women and men, respectively, on a comparable competitive level in relation to anthropometry and ice hockey history.

Back to Top | Article Outline

Methods

Experimental Approach to the Problem

To examine how background variables (anthropometrics and ice hockey history) and physiological fitness (strength and aerobic capacity) were associated with skating performance (skating time), ice hockey players from a women's team and from a men's team were evaluated on various off- and on-ice tests. The study was designed in compliance with the recommendations for clinical research of the Declaration of Helsinki of the World Medical Association. The protocol was approved by the Ethics Committee of the Medical Faculty of Umeå University, Sweden.

The off-ice tests measured isokinetic peak torque (PT) of the thigh muscles, aerobic (and anaerobic) performance, and body composition. The on-ice tests measured skating time in 4 different skating tests previously used to test skating performance on ice hockey players (7,23). Similarities and differences in test results between the group of women and men were also analyzed.

Back to Top | Article Outline

Subjects

One women's ice hockey team and one men's ice hockey team participated in this study. The women's ice hockey team was considered one of the best teams in the region, and the men's team played in the second highest division in Sweden. Volunteering adult players (18 years or older) in the selected teams, were included in the study. Goaltenders were excluded because of the unique physiological demands of goaltending. All participants received an information sheet explaining the nature of the study, and all participants gave informed consent. The participants were instructed to prepare for the test day as for a hockey game, with no alcohol or tough physical exercise the day before testing or at the test day. The tests were performed in day time at the end of the season. The off-ice tests and on-ice tests were performed on different test days within a period of 6 weeks (with the exception of 3 male subjects that performed the on-ice tests 3 months after the off-ice tests, because of technical problems) and on the off-ice test day the body composition and isokinetic strength tests were performed because of the ergometer incremental test, because it was considered the most physically demanding test. The variables used in the analysis are the variables that are most often presented in scientific research to enable comparisons. Background variables were derived from a questionnaire.

Back to Top | Article Outline

Testing Protocols and Procedures

Off-Ice Tests

Anthropometrics. Height was measured to the nearest centimeter with a Harpenden Stadiometer (Holtain Limited, Crymych, United Kingdom), and BW was measured to the nearest kilogram with standard digital scale (Avery Berkel model HL 120, Avery Weigh-Tronix Inc, Fairmont, MN, USA) wearing light clothing.

Back to Top | Article Outline

Body composition

Body composition of the whole body was measured using dual energy x-ray absorptiometry (Lunar DPX-IQ software version 4.7, Lunar Co, WI, USA). The method is considered to be a valid and reliable method for measurement of bone and soft-tissue composition (36). Soft tissue can be divided into fat mass and fat-free mass, the latter also known as lean body mass and in our laboratory the coefficient of variation for LBM has been reported to be 0.9% in total body scans (43). The Lunar DPX-IQ was calibrated every test day using a standardized phantom. Values of LBM were used in this study.

Back to Top | Article Outline

Isokinetic muscle strength testing

Gravity corrected isokinetic muscle strength of the knee flexors and extensors was measured with a Biodex isokinetic dynamometer (Biodex System 3, rev. 3.30 02/14/2003 Biodex Co, New York, USA). After 5 minutes of cycling on an ergometer bicycle, the subjects were seated in the Biodex with their arms crossed in front of their chests, their thighs supported, with a 70° hip angle, the lever attached just above the ankle, a support for their lower back, a fixation girdle around the pelvis and 2 diagonal straps across the chest. The dynamometer's axis of rotation was aligned with the knee joint, and the angular movement was 100°.

After some test-specific warm-up repetitions in the dynamometer, the subjects performed 5 maximal concentric contractions (knee extension and flexion) at the angular velocity of 90°·s−1, and 10 maximal contractions at the angular velocity of 210°·s−1. The rest period between changes of velocities was approximately 2 minutes. The Biodex system 3 has been found to be a valid and reliable instrument at velocities below 300°·s−1 (14). The Biodex isokinetic dynamometer was calibrated each week in accordance with the instructions in the manufacturer's manual. The highest PT in each test was noted. The mean value of the left and right PT for quadriceps and hamstrings was calculated at 90 and 210°·s−1, respectively.

Back to Top | Article Outline

Ergometer incremental test

Aerobic performance was measured in an incremental test on an electronically braked bicycle (Rodby™, RE 829, Enhörna, Sweden). Visual feedback from a tachometer was used to keep a steady pace at 60 repetitions per minute (rpm). The work load at the start of the test was 40 W (W) for women and 50 W for men and with an increase in the work load every 3 minutes by 40 W for women and 50 W for men. The test continued until exhaustion (when the subject was unable to maintain the pace of 60 rpm). After this, the subjects pedalled at the work load at the start (40 or 50 W) for another 10 minutes as a cool-down. During the incremental cycle ergometer test, a metabolic gas measurement system (MetaMax II, CORTEX, Biophysik GmbH, Leipzig, Germany) was used to measure the subject's oxygen uptake (o2), carbon dioxide output (CO2), and ventilation (E). An indwelling catheter was placed in the antecubital vein, and blood samples were drawn at rest, after 2 minutes into every workload and at the end of the test. The blood was analyzed for blood lactate in a YSI 1500 Sport L-Lactate analyzer (YSI Inc, Yellow Springs, OH, USA). Heart rate was monitored with a Polar chest transmitter (Polar Electro, Kempele, Finland) and transmitted to the MetaMax II. The test procedures and the ventilatory and lactate thresholds have been described elsewhere (29), and the MetaMax II has been found to be valid and reliable for metabolic gas measurements (31). The MetaMax II was calibrated every test day for measurements of gas contents and volume (29). Information used in this study was oxygen uptake at: the onset of blood lactate accumulation (OBLA, at 4 mmol), a respiratory exchange ratio of 1 (RER 1) as well as the highest value of oxygen uptake (O2peak) during the test.

Back to Top | Article Outline

On-Ice Tests

Four of the 5 tests previously described (7,23) were performed.

Back to Top | Article Outline

Agility

A cornering test (Agility) required the players to complete an S-shaped pattern around the face-off circles (Figure 1A). The test area spanned over 18.9 m (62 ft) in width and 22.55 m (74 ft) in length (Figure 1A). This test has been reported to have a test-retest r value of 0.96 on 14- to 15-year-old men (23) and r = 0.64 on adult women (7).

Figure 1

Figure 1

Back to Top | Article Outline

Acceleration and Speed

The “Acceleration test” (Acceleration) and the “Speed test” (Speed) were measured in 1 continuous skating bout from a stationary start (Figure 1B), with the first 6.1 m being measured as an acceleration split time (Acceleration) and the entire 47.85 m being measured as the speed time (Speed). These tests have been reported to have test-retest values of r = 0.8 for Acceleration and r = 0.76 for Speed in adult women (7).

Back to Top | Article Outline

Full Speed

The “Full speed test” (Full Speed) was measured over a distance of 15.2 m after a required build-up of speed from the opposite blue line (Figure 1C). This test has been reported to have a test-retest r value of 0.84 in adult women (7).

The tests were performed in a similar manner as described by Bracko (7). Skating time was measured with a photoelectric timing system (Newtest 300 PowerTimer, Oulu, Finland). The center of the photo cells was 108 cm above the ice surface. The players wore full equipment and carried their stick during the testing. Before the testing, the players performed usual warm-up exercises for approximately 15 minutes.

The ice tests were performed on an international rink in the following order: Agility, Acceleration, Speed, and Full speed. The tests were performed twice, and the best trial was recorded. All the players received at least 2 minutes of recovery between the trials and at least 15 minutes of recovery time between the different tests when the timers were being repositioned.

Back to Top | Article Outline

Statistical Analyses

Data were analyzed by using SPSS for PC, Statistics 17.0 (SPSS, Inc., Chicago, IL, USA). Nonparametric Spearman's correlation analysis was calculated to examine bivariate relationships between the off-ice and on-ice test variables. The nonparametric test Mann-Whitney was used to test for significant differences between women and men. All results presented as median ± SD. For all statistical tests, an alpha level of p ≤ 0.05 was operationally defined as statistical significance.

Back to Top | Article Outline

Results

Descriptive statistics for background variables are shown in Table 1. The men and the women were similar in age, but the men were significantly taller and heavier than the women and had more hockey playing experience. The women's and the men's teams had a similar amount of practice on ice each week, but the men's team had >3 times as many games in their league.

TABLE 1

TABLE 1

The men had significantly higher values in all physiological variables expressed in absolute values and in relation to BW (Table 2), and all men skated faster than the fastest woman in the 4 on-ice tests (Table 3). When the physiological off-ice test values were expressed in relation to LBM, differences between the group of women and men diminished or disappeared (Table 4).

TABLE 2

TABLE 2

TABLE 3

TABLE 3

TABLE 4

TABLE 4

No significant correlations were found between skating performance in the 4 on-ice tests (including Agility) and background variables (anthropometrics and ice hockey history) except for BW for women. Because the Agility test is supposed to test skill and not physiological performance, the Agility test was not tested for correlations to physiological variables and is not included in Table 5.

TABLE 5

TABLE 5

For the women, the Acceleration test and the Speed test both revealed significant positive correlations to BW (r = 0.639, p = 0.034 and r = 0.831, p = 0.002, respectively), and Speed test had a significant negative correlation to LBM% (r = −0.773, p = 0.005). Both the Acceleration test and the Speed test also showed significant negative correlations to physiological off-ice values expressed in relation to BW in women (Table 5). Furthermore, in women, the Acceleration test had significant negative correlations to OBLA and RER 1 expressed in relation to BW (r = −0.690, p = 0.019 and r = −0.658, p = 0.028, respectively), and the Speed test had significant negative correlations to both strength and aerobic performance expressed in relation to BW. Full speed test had few significant correlations with physiological variables (Table 5).

For the men, correlation analysis revealed only one significant correlation (Table 5), where skating time in the Acceleration test was positively correlated with o2peak L O2 (absolute value) (r = 0.889, p = 0.007). No significant correlations were found between skating performance and off-ice test results expressed in relation to LBM (results not shown) neither in women nor men.

Back to Top | Article Outline

Discussion

This study showed 4 primary findings: (a) Off-ice fitness predicts skating performance for women but not for men; (b) the group of women was significantly different from the group of men in all background variables except for age, which makes it hard to compare the 2 groups; (c) gender differences in off-ice variables were reduced or disappeared when values were related to LBM, indicating that the LBM of the group of women and men had (approximately) similar capacity of producing strength and aerobic power; and (d) On-ice performance was significantly different between genders and was not associated with physiological variables related to LBM neither in women nor men.

To our knowledge, this is the first study that has used laboratory equipment to get specific data regarding body composition, isokinetic strength, and aerobic performance in ice hockey players and that has compared off- and on-ice tests between female and male players. Laboratory tests provide more information concerning aerobic and anaerobic performance, body composition, and muscle strength. That is, athletic performance can be divided into different aerobic and anaerobic thresholds (29), body composition can be divided into bone, fat, and lean body mass in different regions of the body (36), and muscle strength can be measured at different angular velocities or at different joint angles of the movement (54). However, because most previous studies on physiology in ice hockey has been performed with simple off-ice tests, it is difficult to make direct comparisons to earlier studies as correlations between jump tests and isokinetic muscle strength have been reported to be moderate to low (46). Another factor that limits the possibilities of comparisons is that the time of the season when the tests have been made varies between studies, which could influence the results as physiological fitness to some extent varies during the year. Flexibility and aerobic performance have been shown to be unchanged, but concentric and eccentric PTs change over the season (27,40,44). Furthermore, the physiological profile of male ice hockey players has changed over the years, and the players today are taller and better physically trained than before (11,12,42). This is also true for women in other sports (51) but has not been studied in ice hockey.

In comparison with other groups of women athletes in comparable test settings, the women in our study seem to have a quite undeveloped quadriceps strength, particularly in relation to BW, where the women in our study were 17% weaker than the women in another team in the same league (48) and 12% weaker than women in volleyball (2). However, hamstring strength appears to be on a more comparable level in absolute values, but in relation to BW, the women in this study were 8 and 4% weaker than the hockey players and volleyball players, respectively (2,48).

Aerobic capacity in women's ice hockey has mostly been performed by the Leger test off-ice, which makes direct comparisons difficult. With this limitation in mind, the results in this study (Table 5, o2peak 45 ml O2·kg−1·min−1) are comparable to the predicted test value of 46 ml O2·kg−1·min−1 (forwards) and 43 ml O2·kg−1·min−1 (defensemen) in Leger's test on University players (19).

The women's results in the skating tests are 6-8% slower compared to female elite players from the Canadian National Hockey Team (7) but on a similar level to the results in a Canadian study of female University players. (19) (Table 3).

Only 1 previous study has investigated the associations between off-ice tests and on-ice performance in women's ice hockey (9). In that study, the players were only 8-16 years old and the off-ice tests were different compared to this study, limiting the ability to make direct comparisons. Bracko and George found that age, playing experience, body mass, and height were predictors of speed and discussed how these 4 variables were thought to be linked together in this population of growing women. In this study, age, hockey experience, and height were not correlated to skating performance in women, which might be explained by the fact that the subjects were adult. Instead, the women's skating time was correlated to physiological variables related to BW, and BW in itself. The Speed test was the on-ice test with the strongest correlations to off-ice test variables for women and predominantly to aerobic variables. The best predictors for good skating performance in the Speed test were OBLA ml O2·kg−1·min−1, RER 1 ml O2·kg−1·min−1 and o2peak ml O2·kg−1·min−1. This might seem somewhat confusing; however, these variables have previously been reported to be closely correlated to high-intensity performance in cross country skiing as well, in the short steep uphill sections of the skiing course (29). In crosscountry skiing RER 1 ml O2·kg−1·min−1 has also been shown to be the best predictor for performance in female athletes over a variety of distances (2.5-15 km) (30). It was concluded that lactate produced when working above the OBLA ml O2·kg−1·min−1 and RER 1 ml O2·kg−1·min−1 thresholds has to be “repaid” immediately, which results in a limited time of the work above these thresholds. This time limitation could also affect short bouts of activity (29). However, further studies have to be made to fully understand the relationship between the results of the speed test and OBLA ml O2·kg−1·min−1, RER ml O2·kg−1·min−1, and o2peak ml O2·kg−1·min−1 in this study (Table 5).

Few studies are available that have studied athletes at the same angular velocities as in this study. However, 1 study of ice hockey players has studied PT in quadriceps at 90°·s−1 and their results (233 N·m) (27) correspond to the results in this study. A study of male soccer players presents PT of 266 and 134 N m for quadriceps at an angular velocity of 60 and 180°·s−1, respectively (46). As isokinetic muscle strength decreases with increased angular velocity (54), these results seem in line with this study (Table 2), at least for the lower contraction speed. A study of male elite gymnasts presents PT of 182 and 87 N m for quadriceps and hamstrings, respectively, at an angular velocity of 60°·s−1 (47). These results are considerably lower compared to the results in this study, however when difference in BW is considered (85 kg in our study compared to 67 kg in the gymnasts), this result becomes more reasonable. However, as PT usually is described in absolute values (N·m), and not in relation to BW, it may be difficult to compare results between sports.

Aerobic capacity in men's hockey has been studied using different kinds of tests. The most common methods are by cycle ergometer or treadmill tests, and these tests have been reported to produce similar results (41). It appears that the men in this study (Table 2) had a relative aerobic capacity (o2peak 56 ml·kg−1·min−1) comparable to previous findings. A study of the male players in the NHL entry draft (graded cycle ergometer test) reported an aerobic capacity of 58.1 and 56.7 ml·kg−1·min−1 for forwards and defensive players, respectively (10), and a study from men's collegiate athletic ice hockey (graded treadmill test) reported an aerobic capacity of 59 ml·kg−1·min−1 (22).

To our knowledge, few of the previously published studies investigating skating performance have presented skating times in the tests used in this study with male adult subjects. However, several studies have investigated Bantam players (14-16 years). The adult players in this study (Table 3) are 22% faster in Agility (8), and 19% faster in the Full speed (23) compared with Bantam players. One study before the current one has used the Agility test on adult male subjects; however, in that study, there was a wide range of playing levels and the players were between 15 and 22 years old (17), and the results in this study are 11% faster. Considering that the adult men in this study were taller, heavier, and with more hockey experience compared to players in the other studies comparisons are difficult to make.

Previous studies of the associations between off-ice and on-ice tests on adult men have shown significant correlations between isokinetic muscle strength and skating speed (34), and that a good performance in off-ice sprint tests predicts skating speed (5,17). Considering this, it is somewhat surprising that only 1 of the selected physiological values predicted skating time for the men in this study (Table 5). The reasons why these associations were not found in this study are not known; however, there are a few factors that might have contributed to the results. The men as a group were more homogenous, with low SD s when the test results are related to BW. Only 7 men completed the cycle ergometer test, compared with 10 players in the rest of the test. It is reasonable to assume that the combination of a homogeneous group of men and a small sample might have made it more difficult to find strong associations in the group of men compared to the group of women.

In sports physiology, it is quite common to compare women and men, for example, in aerobic- or anaerobic capacity (15,25,33,35,49) or strength (1,4,24,28,37). In this study, even though they were competing on a comparable level, the groups of women and men were significantly different from each other in all aspects regarding background variables (except for age), where the men had more ice hockey experience and were taller and heavier than the women.

The off-ice tests revealed that the physiological capacity was significantly different between women and men when absolute values or values in relation to BW were used. Considering that most absolute values are associated to body size, this was expected. Absolute values of strength and oxygen uptake are dependent on both body size and level of physical conditioning (53). In sports physiology, aerobic capacity is often described in relation to BW (ml O2·kg−1·min−1). This value is relevant as the athlete usually carries her or his own weight and this parameter is thus of importance in the evaluation of performance in sport (3). A difference in physiological values related to BW in this study was also expected because of the significant differences in percentage of LBM between the groups (Table 2).

In this study, all men were faster than the fastest woman. This is not surprising, as skating speed is affected by LBM% (39) and the LBM% was lower in the female ice hockey players compared to the male ice hockey players (Table 2). The higher amount of sex specific body fat in women compared to men (13,18) affects performance in weight-bearing activities as the women have a higher oxygen uptake per unit LBM at a specific work load (13). Because differences in body composition, it has been argued that women and men should not compete in the same event and should not be compared (13). Difference in body composition also affects the comparison of power output when PT is related to BW, as the power produced by the LBM is divided by a weight where the fat mass is included (Table 2). However, when the off-ice values were related to LBM, the physiological differences between women and men diminished or disappeared (Table 4). This was somewhat surprising to us, considering differences in background variables. On the other hand, investigations have found that regular ice hockey practice games do not improve physiological performance (23,50), and it was only the number of games per season that differed between the women's and men's teams (Table 1). Physiological values in relation to LBM showed no significant associations to on-ice performance. This is not surprising considering the fact that during ice skating, the players need to carry their own BW. It is thus important to consider the purpose before making comparisons between women and men (or other groups of different body size or body composition) as the way the comparison is made affects the results. If the aim of the study is to deal with more basic physiological questions about sex or gender differences, as in this study, it is also of interest to use physiological values in relation to LBM. By relating the different physiological parameters to LBM all significant differences between the female and male subject diminished or disappeared (Table 4).

Back to Top | Article Outline

Practical Applications

When women enter a male-dominated sport, they often adopt the training regimes developed for men. Because there are physiological differences between male and female athletes within a sport, it is important to have a solid knowledge of how these differences affect performance in this specific sport and to take this knowledge in consideration when a training program is planned. The results from this study show that a well-conditioned body (high values of strength and oxygen uptake in relation to BW) is important for good skating performance in women's ice hockey. To develop skating performance in women's ice hockey, the players thus need to increase thigh muscle strength, oxygen uptake, and relative muscle mass.

Differences in body composition between women and men result in vast differences on-ice, in spite of similar oxygen uptake and thigh muscle strength when these values were put in relation to LBM. This also implicates that there should be differences in training regimes for women and men because women are more dependent on thigh muscle strength in relation to BW, for skating performance.

Back to Top | Article Outline

Acknowledgments

We want to thank Lennart Burlin, Erkki Jakobsson, Torsten Sandström, and Jonas Lindberg for skilful technical assistance during the tests. We would also like to thank the Swedish National Centre for Research in Sports for financial assistance. Financial assistance was received from the Swedish National Research Centre for Research in Sports. Disclosure of funding: No funding was obtained from the NIH, the Welcome Trust, Howard Hughes or the Medical Institute (HHMI).

Back to Top | Article Outline

References

1. Abe, T, Brechue, WF, Fujita, S, and Brown, JB. Gender differences in FFM accumulation and architectural characteristics of muscle. Med Sci Sports Exerc 30: 1066-1070, 1998.
2. Alfredson, H, Nordstrom, P, and Lorentzon, R. Bone mass in female volleyball players: A comparison of total and regional bone mass in female volleyball players and nonactive females. Calcif Tissue Int 60: 338-342, 1997.
3. Åstrand, PO, Rodahl, K, Dahl, H, and Stromme, S. Textbook of Work Physiology. Physiological Bases of Exercise (4th ed.). Champaign, IL: Human Kinetics, 2003.
4. Bamman, MM, Hill, VJ, Adams, GR, Haddad, F, Wetzstein, CJ, Gower, BA, Ahmed, A, and Hunter, GR. Gender differences in resistance-training-induced myofiber hypertrophy among older adults. J Gerontol A Biol Sci Med Sci 58: 108-116, 2003.
5. Behm, DG, Wahl, MJ, Button, DC, Power, KE, and Anderson, KG. Relationship between hockey skating speed and selected performance measures. J Strength Cond Res 19: 326-331, 2005.
6. Bower, ME, Kraemer, WJ, Potteiger, JA, Volek, JS, Hatfield, DA, Vingren, JL, Spiering, BA, Fragala, MS, Ho, JY, Thomas, GA, Earp, JE, Hakkinen, K, and Maresh, CM. Relationship between off-ice testing variables and on-ice speed in women's collegiate synchronized figure skaters: implications for training. J Strength Cond Res 24: 831-839, 2010.
7. Bracko, MR. On-ice performance characteristics of elite and non-elite women's ice hockey players. J Strength Cond Res 15: 42-47, 2001.
8. Bracko, MR and Fellingham, GW. Comparison of physical performance characteristics of female and male ice hockey players. Pediatr Exerc Sci 13: 26-34, 2001.
9. Bracko, MR and George, JD. Prediction of ice skating performance with off-ice testing in women's ice hockey players. J Strength Cond Res 15: 116-122, 2001.
10. Burr, JF, Jamnik, RK, Baker, J, Macpherson, A, Gledhill, N, and McGuire, EJ. Relationship of physical fitness test results and hockey playing potential in elite-level ice hockey players. J Strength Cond Res 22: 1535-1543, 2008.
11. Cox, MH, Miles, DS, Verde, TJ, Levine, MJ, and Bartolozzi, AR. Physical and physiological characteriststics of NHL players over the last decade. Med Sci Sports Exerc 25(5 suppl): S169, 1993.
12. Cox, MH, Miles, DS, Verde, TJ, and Rhodes, EC. Applied physiology of ice hockey. Sports Med 19: 184-201, 1995.
13. Cureton, KJ and Sparling, PB. Distance running performance and metabolic responses to running in men and women with excess weight experimentally equated. Med Sci Sports Exerc 12: 288-294, 1980.
14. Drouin, JM, Valovich-mcLeod, TC, Shultz, SJ, Gansneder, BM, and Perrin, DH. Reliability and validity of the Biodex system 3 pro isokinetic dynamometer velocity, torque and position measurements. Eur J Appl Physiol 91: 22-29, 2004.
15. Durocher, JJ, Guisfredi, AJ, Leetun, DT, and Carter, JR. Comparison of on-ice and off-ice graded exercise testing in collegiate hockey players. Appl Physiol Nutr Metab 35: 35-39, 2010.
16. Durocher, JJ, Jensen, DD, Arredondo, AG, Leetun, DT, and Carter, JR. Gender differences in hockey players during on-ice graded exercise. J Strength Cond Res 22: 1327-1331, 2008.
17. Farlinger, CM, Kruisselbrink, LD, and Fowles, JR. Relationships to skating performance in competitive hockey players. J Strength Cond Res 21: 915-922, 2007.
18. Gallagher, D, Heymsfield, SB, Heo, M, Jebb, SA, Murgatroyd, PR, and Sakamoto, Y. Healthy percentage body fat ranges: An approach for developing guidelines based on body mass index. Am J Clin Nutr 72: 694-701, 2000.
19. Geithner, CA, Lee, AM, and Bracko, MR. Physical and performance differences among forwards, defensemen, and goalies in elite women's ice hockey. J Strength Cond Res 20: 500-505, 2006.
20. Gilenstam, K, Karp, S, and Henriksson-Larsen, K. Gender in ice hockey: women in a male territory. Scand J Med Sci Sports 18: 235-249, 2008.
21. Green, HJ, Cadefau, J, Cusso, R, Ball-Burnett, M, and Jamieson, G. Metabolic adaptations to short-term training are expressed early in submaximal exercise. Can J Physiol Pharmacol 73: 474-482, 1995.
22. Green, MR, Pivarnik, JM, Carrier, DP, and Womack, CJ. Relationship between physiological profiles and on-ice performance of a National Collegiate Athletic Association Division I hockey team. J Strength Cond Res 20: 43-46, 2006.
23. Greer, N, Serfass, R, Picconatto, W, and Blatherwick, J. The effects of a hockey-specific training program on performance of Bantam players. Can J Sport Sci 17: 65-69, 1992.
24. Heyward, VH, Johannes-Ellis, SM, and Romer, JF. Gender differences in strength. Res Q Exerc Sport 57: 154-159, 1986.
25. Hill, DW and Smith, JC. Gender difference in anaerobic capacity: Role of aerobic contribution. Br J Sports Med 27: 45-48, 1993.
26. Houston, ME and Green, HJ. Physiological and anthropometric characteristics of elite Canadian ice hockey players. J Sports Med Phys Fitness 16: 123-128, 1976.
27. Johansson, C, Lorentzon, R, and Fugl-Meyer, AR. Isokinetic muscular performance of the quadriceps in elite ice hockey players. Am J Sports Med 17: 30-34, 1989.
28. Kanehisa, H, Okuyama, H, Ikegawa, S, and Fukunaga, T. Sex difference in force generation capacity during repeated maximal knee extensions. Eur J Appl Physiol Occup Physiol 73: 557-562, 1996.
29. Larsson, P and Henriksson-Larsen, K. Combined metabolic gas analyser and dGPS analysis of performance in cross-country skiing. J Sports Sci 23: 861-870, 2005.
30. Larsson, P, Olofsson, P, Jakobsson, E, Burlin, L, and Henriksson-Larsen, K. Physiological predictors of performance in cross-country skiing from treadmill tests in male and female subjects. Scand J Med Sci Sports 12: 347-353, 2002.
31. Larsson, PU, Wadell, KM, Jakobsson, EJ, Burlin, LU, and Henriksson-Larsen, KB. Validation of the MetaMax II portable metabolic measurement system. Int J Sports Med 25: 115-123, 2004.
32. Leone, M, Leger, LA, Lariviere, G, and Comtois, AS. An on-ice aerobic maximal multistage shuttle skate test for elite adolescent hockey players. Int J Sports Med 28: 823-828, 2007.
33. Lephart, SM, Ferris, CM, Riemann, BL, Myers, JB, and Fu, FH. Gender differences in strength and lower extremity kinematics during landing. Clin Orthop Relat Res 401: 162-169, 2002.
34. Mascaro, T, Seaver, BL, and Swanson, L. Prediction of skating speed with off-ice testing in professional hockey players. J Orthop Sports Phys Ther 15: 92-98, 1992.
35. Mayhew, JL and Salm, PC. Gender differences in anaerobic power tests. Eur J Appl Physiol Occup Physiol 60: 133-138, 1990.
36. Mazess, RB, Barden, HS, Bisek, JP, and Hanson, J. Dual-energy x-ray absorptiometry for total-body and regional bone-mineral and soft-tissue composition. Am J Clin Nutr 51: 1106-1112, 1990.
37. Miller, AE, MacDougall, JD, Tarnopolsky, MA, and Sale, DG. Gender differences in strength and muscle fiber characteristics. Eur J Appl Physiol Occup Physiol 66: 254-262, 1993.
38. Mirkov, D, Nedeljkovic, A, Kukolj, M, Ugarkovic, D, and Jaric, S. Evaluation of the reliability of soccer-specific field tests. J Strength Cond Res 22: 1046-1050, 2008.
39. Montgomery, DL. The effect of added weight on ice hockey performance. Physician Sports Med 10: 91-99, 1982.
40. Montgomery, DL. Physiology of ice hockey. Sports Med 5: 99-126, 1988.
41. Montgomery, DL. Physiology of ice hockey. In: Exercise and Sport Science. W. E. Garret and D. T. Kirkendall, eds. Philadelphia, PA: Lippincott Williams and Wilkins, 2000. pp. 815-828.
42. Montgomery, DL. Physiological profile of professional hockey players—a longitudinal comparison. Appl Physiol Nutr Metab 31: 181-185, 2006.
43. Nordstrom, P, Thorsen, K, Nordstrom, G, Bergstrom, E, and Lorentzon, R. Bone mass, muscle strength, and different body constitutional parameters in adolescent boys with a low or moderate exercise level. Bone 17: 351-356, 1995.
44. Posch, E, Haglund, Y, and Eriksson, E. Prospective study of concentric and eccentric leg muscle torques, flexibility, physical conditioning, and variation of injury rates during one season of amateur ice hockey. Int J Sports Med 10: 113-117, 1989.
45. Powers, SK and Howley, ET. Exercise Physiology—Theory and Application to Fitness and Performance (6th ed.). New York, NY: McGraw-Hill, 2007.
46. Requena, B, Gonzalez-Badillo, JJ, de Villareal, ES, Ereline, J, Garcia, I, Gapeyeva, H, and Paasuke, M. Functional performance, maximal strength, and power characteristics in isometric and dynamic actions of lower extremities in soccer players. J Strength Cond Res 23: 1391-1401, 2009.
47. Russell, KW, Quinney, HA, Hazlett, CB, and Hillis, D. Knee muscle strength in elite male gymnasts. J Orthop Sports Phys Ther 22: 10-17, 1995.
48. Sandstrom, P, Jonsson, P, Lorentzon, R, and Thorsen, K. Bone mineral density and muscle strength in female ice hockey players. Int J Sports Med 21: 524-528, 2000.
49. Sheel, AW, Richards, JC, Foster, GE, and Guenette, JA. Sex differences in respiratory exercise physiology. Sports Med 34: 567-579, 2004.
50. Spiering, BA, Wilson, MH, Judelson, DA, and Rundell, KW. Evaluation of cardiovascular demands of game play and practice in women's ice hockey. J Strength Cond Res 17: 329-333, 2003.
51. Stefani, RT. The relative power output and relative lean body mass of World and Olympic male and female champions with implications for gender equity. J Sports Sci 24: 1329-1339, 2006.
52. Theberge, N. Challenging the gendered space of sport: Women's ice hockey and the struggle for legitimacy. In: Gender and Sport: A Reader. S. Scraton and A. Flintoff. ed. London, United Kindom: Routledge, 2002. pp. 292-302.
53. Wilmore, JH, Costill, DL, and Kenney, WL. Physiology of Sport and Exercise (4th ed.). Champaign, IL: Human Kinetics, 2008.
54. Yoon, TS, Park, DS, Kang, SW, Chun, SI, and Shin, JS. Isometric and isokinetic torque curves at the knee joint. Yonsei Med J 32: 33-43, 1991.
Keywords:

body composition; exercise test; muscle strength; gender

© 2011 National Strength and Conditioning Association