scholarly journals EXAMINING THE EFFECTS OF HAND ANTHROPOMETRIC MEASUREMENTS, GRIP STRENGTH AND BALANCE SKILLS ON SHOT PERFORMANCE IN ELITE FEMALE BASKETBALL PLAYERS

Author(s):  
Serdar Gür ◽  
Mehmet Soyal

This study aims to examine the effects of elite female basketball players’ hand anthropometric measurements, hand-grip strength and balance skills on their shooting performance. The age, height, weight, body mass index and hand anthropometric values, hand-grip strength and balance of the athletes were measured, and Aahperd shot tests were applied. Data analysis was performed through SPSS 24 package program. Data analyses included the Shapiro-Wilk Test applied to determine whether there is a normal distribution, and Pearson correlation analysis used to evaluate the correlation status of the parameters with the normal distribution of the data. The average age of the 12 female athletes participating in the study was 21.83 ± 4.407 years, the average height was 171.50 ± 6.95 cm, the average body weight was 68.60 ± 17.96 kg and the mean Body Mass Index was 23.99 ± 4.72. has been determined. It was determined that the average right hand grip strength of 12 female athletes participating in the study was 35.92 ± 6.127 kg and the average left hand grip strength was 32.92 ± 5.807 kg. Among the balance parameters, the balance mean deviation value was determined as 07 ±, 048, the balance average speed value as 42 ± 119, the balance path length value as 12.19 ± 3.473 and the balance area value as 02 ±. The Aahperd shot test mean value was also determined to be 18.67 ± 2.425. The analyses regarding the hand anthropometrics parameter of the 12 athletes indicate that there is no significant correlation between shot performance and hand length, width, palm length, third finger length, hand shape index, finger index and hand surface area. Besides, it is determined that there is no significant correlation between the hand grip strength and balance test results and shooting performance. The data revealed that the dominant hand measurements, test values and shooting performance of the athletes are not significantly correlated. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0770/a.php" alt="Hit counter" /></p>

2021 ◽  
Vol 18 (1) ◽  
pp. 1-7
Author(s):  
Heidy Heidy ◽  
Tena Djuartina ◽  
Robi Irawan

Introduction: An individual’s overall muscle strength is commonly assessed by a power grip measurement, a reliable indicator of functional capacity and physical condition. The development of muscle parallels the changes of body composition during growth. Aim of this study is to examine the correlationship between hand grip strength and anthropometric. Methods: This cross-sectional study involved 76 male students of Dhammasavana School, aged between 12 – 16 years old, North Jakarta. Hand grip strength was examined using a digital dynamometer on the dominant side. Statistical analysis was computed using SPSS ver. 15.0 program with Spearman correlations test. Significance was set at p<0.05. Results: Dominant hand grip strength was found to have significant (p<0.05 - 0.001) positive correlation with height (r=0.612), lower arm muscle-and-bone cross-sectional circumference and area (CSA) (r=0.553 and r=0.553 respectively), hand length (r=0.548), forearm length (r=0.540), age (r=0.520), weight (r=0.416), and forearm girth (r=0.376). Conclusion: No significant correlation between grip strength and body mass index was found. Positive correlations between the variables mentioned above conclude that the higher the value of the anthropometric measurements, the greater the strength generated in a power grip.


Author(s):  
Ratko Pavlović ◽  
Mensur Vrcić

The hands are anatomically specialized for manipulative tasks with different physical objects, where they can cope with certain loads with different forces and intensity. During various physical and sports activities, the hands produce the appropriate muscular force for gripping, which manifests as the hand grip's force. For this reason, hand grip strength (HGS) is recognized as a limiting factor in all manipulative activities performed by the cranial part of the body. The current research included a sample of 22 subjects, 16 male Body Height (BH=180.28±4.65cm); Body Weight (BW=80.05±9.96kg), Body Mass Index (BMI=24.61±2.74kg/m²) and 6 female subjects Body Height (BH=167.42±11.11cm); Body Weight (BW=64.80±10.09kg); Body Mass Index (BMI=23.02±1.57kg/m²) on the third year of study at the Faculty of Physical Education and Sports. This study aimed to determine the maximum isometric muscle force of the handgrip and differences between the same gender of students. A t-test for small samples was applied for data processing, and the relevant statistical parameters were calculated. The obtained t-test results confirmed statistically significant differences between the so-called dominant and non-dominant hands in male subjects (t=4.158; p<0.05) and female subjects (t=3.176; p<0.05). The obtained results of this research will be used for analytical and diagnostic purposes with a wide range of activities in the population of physical education and sports students (assessment of physical ability, trends, and tendencies to monitor and change abilities, influence on the implementation of certain curricula of some subjects studied at the faculty, etc.).


2021 ◽  
Vol 3 (2) ◽  
pp. 78-82
Author(s):  
Bhakti Gorhe ◽  
Dr. Shyam Ganvir(PT)

ABSTRACT: - Aim of the study is to find out the influence of low, medium and high body mass index on hand grip strength among community dwelling elderly population. Methodology: - This was an observational cross-sectional study performed on 30 community dwelling elderly population with age groups 60 and above 60. Out of total 30 participants 8 were having low BMI, 9 were having medium BMI and 13 were having high BMI. BMI was calculated by taking weight (in kg) by using weighing machine and height in (meters). Hand grip strength was measured by using hand held (JAMER) dynamometer. Result: - Data has summarized by using descriptive statistic of mean and standard deviation. Then Pearson correlation test was used to measure relation between hand grip strength and BMI.ANOVA technique was used for multiple group comparison by using graph pad software. By using Pearson corelation we got the result that there is positive corelation between High BMI with HGS and negative corelation between HGS with low and medium BMI. By using one-way ANOVA test we got (p value>0.05) which is non-significant. One way ANOVA shows comparison of hand grip strength of low, medium and high BMI and it is like H>M>L for both dominant and non-dominant. CONCLUSION: - Our study concludes from the above result that there is corelation between Hand grip strength and body mass index.


CHEST Journal ◽  
2016 ◽  
Vol 150 (4) ◽  
pp. 917A
Author(s):  
Carlos Martinez ◽  
Alejandro Diaz ◽  
Catherine Meldrum ◽  
Merry-Lynn McDonald ◽  
Gregory Kinney ◽  
...  

2020 ◽  
Vol 7 (4) ◽  
pp. 166
Author(s):  
Anna Fitriani ◽  
Desiani Rizki Purwaningtyas

Hand Grip Strength (HGS) is an indicator of muscle strength tha has been a predictor of physical capacity and long-term health. There has been a a decrease in HGS among youth and is related with several factors such us body mass index (BMI) and protein intake, but the available researches are still inconsistent. This cross sectional study examined the level of HGS and it’s relationship with BMI and protein intake among female college student of UHAMKA Jakarta. HGS were measured by Smedley Dynamometer and were carried out according to the Southampton Protocol. Anthropometric measurements and self 3-day food records were performed to obtain BMI and total protein intake. Chi square test was performed to reveal the difference proportion of low HGS among various groups. The results showed that the average HGS score was 21.70 ± 7.09 kg, of which 48.7% of respondents were classified as low HGS. There was no significant difference of low HGS proportion between normal BMI and abnormal BMI (less and more) (P value = 0.481). However, the proportion of low HGS was significantly higher among those who had deficit protein intake compared to normal (P value = 0,000). Therefore, an adequate protein intake is needed to maintain muscle strength among youth.   Keywords: Muscle strength, hand grip strength, BMI, protein intake, youth


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