Investigation of Sport Rock Climbers’ Handgrip Strength

Gürer, Burak; Yıldız, Mehmet Emin

doi:10.4127/jbe.2015.0092

Cited by 9 publications

(7 citation statements)

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“…The results also showed that HGS alone seems to be of little use in predicting CSHT, although some studies in the field of climbing refer to this parameter (e.g., [ 23 ]). Instead, HGS should be normalized to individual body weight, as shown by the high relevance of this parameter in both approaches.…”

Section: Discussionmentioning

confidence: 96%

Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Dindorf

Bartaguiz

Dully

et al. 2022

JFMK

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Handgrip strength (HGS) appears to be an indicator of climbing performance. The transferability of HGS measurements obtained using a hand dynamometer and factors that influence the maximal climbing-specific holding time (CSHT) are largely unclear. Forty-eight healthy subjects (27 female, 21 male; age: 22.46 ± 3.17 years; height: 172.76 ± 8.91 cm; weight: 69.07 ± 12.41 kg; body fat: 20.05% ± 7.95%) underwent a maximal pull-up test prior to the experiment and completed a self-assessment using a Likert scale questionnaire. HGS was measured using a hand dynamometer, whereas CSHT was measured using a fingerboard. Multiple linear regressions showed that weight, maximal number of pull-ups, HGS normalized by subject weight, and length of the middle finger had a significant effect on the maximal CSHT (non-dominant hand: R2corr = 0.63; dominant hand: R2corr = 0.55). Deeper exploration using a machine learning model including all available data showed a predictive performance with R2 = 0.51 and identified another relevant parameter for the regression model. These results call into question the use of hand dynamometers and highlight the performance-related importance of body weight in climbing practice. The results provide initial indications that finger length may be used as a sub-factor in talent scouting.

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Section: Discussionmentioning

confidence: 96%

Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Dindorf

Bartaguiz

Dully

et al. 2022

JFMK

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“…A similar pattern of changes in HGF values in all the routes may indicate that HGF is distinctively affected by climbing. There are many studies that examine HGF levels of climbers [28,29]. It is also documented that a decrease in post-climb HGF may vary independently of a significant increase in lactate concentration [19].…”

Section: Discussionmentioning

confidence: 99%

Investigation of Lactate, Heart Rate and Handgrip Force Responses of Climbers

Bildircin

2021

Polish Journal of Sport and Tourism

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Introduction. Sport climbing, which is included in 2020 Olympic Games, is a new sport that is both recreational and performance-focused while being the subject of scientific research all around the world. The aim of this study was to analyze the changes in lactate concentration, heart rate and handgrip forces all at once in the actual sport climbing competition. Material and Methods. Thirteen male climbers volunteered for this study. The climbers climbed three different routes prepared according to the International Federation of Sport Climbing standards that are classified as easy, medium and difficult. Lactate, heart rate, dominant and non-dominant handgrip forces were measured for each route before climbing, immediately after, and during the third and fifth minutes after climbing. Climbing performance was determined using the number of holds that the competitor reached. Results. We observed significantly higher post-lactate concentration in comparison to the pre-climbing values for all climbing routes (p < 0.05). Statistical observation shows that post-climbing heart rate values were considerably higher than the pre-climbing values for all three climbing trials (p < 0.05). There were also statistically significant differences in climbing performance and handgrip force between the three routes (p < 0.05). Conclusions. According to the results of this study, significant increases were noted in all three climbing routes relative to the pre-climb in lactate, heart rate and climbing performance data between the routes.

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“…Handgrip strength is highly correlated with a variety of other features including anthropometric (weight, height, arm length, etc.). Studies of Ancel et al, (2002) showing the handgrip strength was reported to be higher in the dominant hand, which many on the right hand (Gurer, and Yildiz, 2015;Koley, & Singh, 2010).…”

Section: Introductionmentioning

confidence: 92%

“…This tool can measure the strength of the hand grip of 0 to 100kg and are widely used in many studies to measure the handgrip strength. The tool of choice for many researchers compatible with a wide range of hands, have good sensitivity and easy to use (Gurer and Yildiz, 2015). Subjects were asked to grip the dynamometer as maximum as they can according to their own comfort.…”

Section: Handgripmentioning

confidence: 99%

Comparison Level of Handgrip Strength, Finger Grip Strength and Anthropometric Measurement among Artificial Wall Athletes

Salehhodin¹,

Abdullah²,

Khalid³

2019

IJARBSS

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Sport climbing came about in 1980 as a means of physical and technical training for high performance mountain climbers and it became popular as a competitive and recreational sport activities. The aim of this study were to compare the level of handgrip strength in male athletes between three different categories of climbing (boulder, lead, and speed) during indoor wall climbing competition. Grip strength refers to the ability of the fingers and hand to generate muscle power and force (Chang, Chou, Lin, Lin, & Wang, 2010). Methodology: Ex-post facto because the characteristics tested on the subjects occur naturally and cannot be manipulated. Participants were 123 males (boulders; 41, lead; 41, speed; 41) whose average age is 22.46±4 years. All of them are students of a university in Malaysia. The handgrip strength was measured statically using a hand dynamometer (handgrip). Descriptive statistics was used to compare the different of handgrip strength in three categories. Data from both strength tests were compared for the three categories of climbing using ANOVA. Result: Descriptive data for boulder (M=102.646; SD=14.71), lead (M=92.42; SD=15.88), and speed (M=88.13; SD=16.43) were determined. The findings showed significant differences in handgrip strength score in three categories of climbing [F (2,120) =9.26, p=0.000)]. Data analysis by using post hoc turkey test showed significance difference between boulder and lead (p<0.01), and boulder and speed (p=0.000). Finding and discussion: Conclusion from this study boulder climber are stronger the lead climbers in handgrip strength.

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Investigation of Sport Rock Climbers’ Handgrip Strength

Cited by 9 publications

References 0 publications

Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Evaluation of Influencing Factors on the Maximum Climbing Specific Holding Time: An Inferential Statistics and Machine Learning Approach

Investigation of Lactate, Heart Rate and Handgrip Force Responses of Climbers

Comparison Level of Handgrip Strength, Finger Grip Strength and Anthropometric Measurement among Artificial Wall Athletes

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