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Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players?
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| Zeitschriftentitel: | Applied Sciences |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Applied Sciences, 11, 2021, 8, S. 3492 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Hermassi, Souhail Hayes, Lawrence D. Schwesig, René Hermassi, Souhail Hayes, Lawrence D. Schwesig, René |
|---|---|
| author |
Hermassi, Souhail Hayes, Lawrence D. Schwesig, René |
| spellingShingle |
Hermassi, Souhail Hayes, Lawrence D. Schwesig, René Applied Sciences Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? Fluid Flow and Transfer Processes Computer Science Applications Process Chemistry and Technology General Engineering Instrumentation General Materials Science |
| author_sort |
hermassi, souhail |
| spelling |
Hermassi, Souhail Hayes, Lawrence D. Schwesig, René 2076-3417 MDPI AG Fluid Flow and Transfer Processes Computer Science Applications Process Chemistry and Technology General Engineering Instrumentation General Materials Science http://dx.doi.org/10.3390/app11083492 <jats:p>This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.</jats:p> Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? Applied Sciences |
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| title |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_unstemmed |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_full |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_fullStr |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_full_unstemmed |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_short |
Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_sort |
can body fat percentage, body mass index, and specific field tests explain throwing ball velocity in team handball players? |
| topic |
Fluid Flow and Transfer Processes Computer Science Applications Process Chemistry and Technology General Engineering Instrumentation General Materials Science |
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http://dx.doi.org/10.3390/app11083492 |
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2021 |
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3492 |
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<jats:p>This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.</jats:p> |
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| author | Hermassi, Souhail, Hayes, Lawrence D., Schwesig, René |
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| description | <jats:p>This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.</jats:p> |
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| spelling | Hermassi, Souhail Hayes, Lawrence D. Schwesig, René 2076-3417 MDPI AG Fluid Flow and Transfer Processes Computer Science Applications Process Chemistry and Technology General Engineering Instrumentation General Materials Science http://dx.doi.org/10.3390/app11083492 <jats:p>This study examined the physical fitness, anthropometry, and throwing velocity of normal weight and overweight male team handball players. Twenty-five players from the Qatar handball first professional league participated. The anthropometry and physical performance—yo-yo intermittent recovery test, jumping ability (squat and countermovement jumps (SJ and CMJ)), T-half test for change-of-direction (COD) ability, sprint tests (15 and 30 m), and 3 kg medicine ball overhead throw—was measured. The handball-throwing velocity was measured using a three-step running shot and a jump shot. Only the CMJ (p = 0.016, ηp2 = 0.227) was different between the normal and overweight subjects. Two-step linear regression analysis using body height and body mass (step 1) and percentage body fat (%BF) (step 2) predictors showed an increase in the explained variance by adding %BF. The largest r2 change was calculated for COD (0.53). The predictive ability was observed for CMJ (step 1: r2 = 0.18, step 2: r2 = 0.22) and SJ (step 1: r2 = 0.05, step 2: r2 = 0.09). With the exception of the sprint parameters (β-coefficient 15 m sprint: −0.07; β-coefficient 30 m sprint: −0.06) and COD (β-coefficient: −0.09), a lower %BF was associated with greater performance in all parameters. %BF seems to be important for predicting sprint and agility performance.</jats:p> Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? Applied Sciences |
| spellingShingle | Hermassi, Souhail, Hayes, Lawrence D., Schwesig, René, Applied Sciences, Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players?, Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science |
| title | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_full | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_fullStr | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_full_unstemmed | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_short | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| title_sort | can body fat percentage, body mass index, and specific field tests explain throwing ball velocity in team handball players? |
| title_unstemmed | Can Body Fat Percentage, Body Mass Index, and Specific Field Tests Explain Throwing Ball Velocity in Team Handball Players? |
| topic | Fluid Flow and Transfer Processes, Computer Science Applications, Process Chemistry and Technology, General Engineering, Instrumentation, General Materials Science |
| url | http://dx.doi.org/10.3390/app11083492 |