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

Henriksson, Tommy; Vescovi, Jason D.; Fjellman‐Wiklund, Anncristine; Gilenstam, Kajsa

doi:10.2147/oajsm.s109124

Cited by 17 publications

(15 citation statements)

References 22 publications

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“…On-ice agility and lateral plyometrics were the two strongest indicators of performance relationships dependent on competition level. The two physical abilities both place an emphasis on singleleg power, which has been hypothesised to be highly relevant for ice hockey performance (9). Nonetheless, the results revealed that lateral plyometrics indicated a negative performance-related relationship dependent on competition level.…”

Section: Performance Relationships Dependent On Competition Levelmentioning

confidence: 84%

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Physical Performance and the Relationship to Game Performance in Elite Adolescent Ice Hockey

Williams

Grau

2020

IUSCAJ

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Determining performance indicators within team sports is considerably important as it facilitates the underlying training methodologies of sports performance. The value of understanding individual contribution and the relevant physical factors is of importance when structuring appropriate strength and conditioning training. Therefore, the aim of this study was to analyse the relationships between physical performance and game performance, as well as examining the relationships of physical performance and game performance dependent on competition level. This research project was a case study conducted with a team’s game performance measured across a full season. Twelve elite adolescent male ice hockey players (17.92 ± 0.9 years, 185 ± 8.45 cm, 83.17 ± 8.61 kg) participated in the study after giving informed consent. Physical performance was measured using four tests (horizontal jump, single-leg lateral jump, 15-meter sprint, corner S test), while game performance was calculated through the statistical equation Point Shares. Statistical significance was set at p ≤ 0.05. Physical performance did not depict any strong indications of overall game performance. Instead, results illustrated an inverse relationship between plyometric performance and offensive point shares. However, on-ice agility may be a relevant indicator of game performance dependent on competition level for individuals and sub-groups. Thus, the findings suggest that explaining individual performance within team sports is a highly complex issue that needs further investigation.

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Section: Performance Relationships Dependent On Competition Levelmentioning

confidence: 84%

“…Although the single-leg lateral jump has not been directly tested in relating studies, research indicates unilateral tests may be more appropriate for ice hockey due to skating kinematics (9). Thus, the procedure followed the test outlines as described by Lockie et al (16).…”

Section: -Single-leg Lateral Jumpmentioning

confidence: 99%

Physical Performance and the Relationship to Game Performance in Elite Adolescent Ice Hockey

Williams

Grau

2020

IUSCAJ

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“…The best predictors of success in the recruitment process were time to peak power and relative peak power as measured by the 30s Wingate test, VO2max and 30 m sprint forwards on ice (Roczniok et al, 2015). Fieldbased assessments seem to deliver more meaningful/predictive data compared to laboratory assessments (Henriksson, Vescovi, Fjellman-Wiklund, & Gilenstam, 2016). Henriksson et al (2016) identified single-leg standing long-jump as a valid method to gain knowledge about performance characteristics for skating among female ice hockey players.…”

Section: Introductionmentioning

confidence: 98%

Demographic, physiological, psychological, and on-ice performance indicators predict plus/minus status of recreational ice hockey players across a season

Nigg

Gessner

Nigg

et al. 2020

Ger J Exerc Sport Res

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Little is known about physical, physiological, and psychological performance indicators predicting recreational athletes’ performance. This information may motivate players to become more active and inform coaches where to focus to build confidence, cohesion, and cooperation. This study investigated which performance indicators were related to the plus-minus statistic in German recreational ice hockey players (n = 20 players; 1 female; mean age = 36.25 ± 12.91 years; height = 178.85 ± 8.64 cm; weight = 81.36 ± 12.89 kg; mean years of ice hockey experience = 5.68 ± 8.93) over a season. Anthropometrics, psychological and on-ice performance data were collected mid-season and plus-minus were recorded after each game. Due to the small sample size, significance interpretations are not meaningful; therefore, Cohen’s guidelines were used for r = 0.2 (small), r = 0.5 (medium) and r = 0.8 (large). Medium size positive correlations of plus/minus were found for push-ups (r = 0.52) and squats (r = 0.37). Small positive correlations were found for shot speed (r = 0.33), competitiveness orientation (r = 0.28), and years on team (r = 0.23). Small negative correlations were found for win orientation (r = −0.30), body mass index (r = −0.28), task cohesion (r = −0.24), and percent body fat (r = −0.20). Some performance and psychological indicators are related to recreational ice hockey players’ plus-minus statistic over a season. Coaches and players of recreational teams should focus on muscular strength and endurance, shooting speed, body composition, and enjoying the challenge of competition while lowering their win orientation.

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“…However, few studies have compared body composition estimates from DXA and SKF in female athletes (23,38) and none included women's ice hockey players. The literature on body composition in women's ice hockey players is relatively limited (8,9,11,28,29), and available data are for players of different ages at various levels of play from different countries using different assessment methods. No study to date has compared body fat estimates from DXA and SKF in this athlete population.…”

Section: Introductionmentioning

confidence: 99%

Body Composition of Women's Ice Hockey Players: Comparison of Estimates Using Skinfolds and iDXA

Gilenstam

Geithner

2019

Journal of Strength and Conditioning Research

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The purpose of this study was to compare percent fat (% Fat) estimates from anthropometric equations using skinfolds (SKF) in women's ice hockey players to estimates obtained from Lunar iDXA. Data were collected on 19 elite female Swedish hockey players (mean age ± SD = 18.4 ± 2.4 y). Four skinfolds (SKF) (triceps, abdominal, suprailiac, and thigh) were measured within two hours of iDXA assessments. The % Fat estimates from iDXA and four anthropometric equations were compared using paired t-tests, and a one-way ANOVA was used to compare % Fat estimates from the anthropometric equations. Bland Altman analyses were used to assess agreement between % Fat estimates from SKF and iDXA. The significance level was set a priori at p<0.05. The % Fat estimates from anthropometric equations were significantly lower than those from iDXA (mean ± SD: 26.85 ± 4.93%, p=0.000). Bland Altman analyses indicated mean differences of -7.96 to -10.13 percentage points between anthropometric equations and iDXA. Estimates of % Fat from anthropometric equations (range: 16.72% to 18.89%) were within the range reported in earlier studies using the Sum of 7 SKF. Thus, SKF offer a reasonable alternative to iDXA for this population, but result in underestimates of % Fat relative to iDXA. Strength and conditioning coaches should use the same body composition assessment method consistently, and interpret the results with caution, as they are estimates and not true values.

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

Cited by 17 publications

References 22 publications

Physical Performance and the Relationship to Game Performance in Elite Adolescent Ice Hockey

Physical Performance and the Relationship to Game Performance in Elite Adolescent Ice Hockey

Demographic, physiological, psychological, and on-ice performance indicators predict plus/minus status of recreational ice hockey players across a season

Body Composition of Women's Ice Hockey Players: Comparison of Estimates Using Skinfolds and iDXA

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