School-Age Talent Identification in Female Handball by a Mathematical Model: Equation Proposed from Anthropometry, Maturity Offset, Fitness and Technical Field-Tests

The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players c...

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Published inResearch quarterly for exercise and sport Vol. 95; no. 4; pp. 1002 - 1010
Main Authors Caporal, Guilherme, Gaya, Adroaldo C. A., Pedretti, Augusto, Mello, Júlio B.
Format Journal Article
LanguageEnglish
Published United States Routledge 01.10.2024
Subjects
Adolescent
Anthropometry - methods
Aptitude
Athletic Performance - physiology
Brazil
Collective sports
Female
girls
Humans
Models, Theoretical
Motor Skills - physiology
Muscle Strength - physiology
physical fitness
Physical Fitness - physiology
Range of Motion, Articular - physiology
Sports - physiology
sports talent
youth
Brazil
Collective sports
sports talent
girls
physical fitness
youth
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Abstract The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players comprising these two groups: 100 girls who participated in the high-level handball championship in Brazil and 53 girls (age 13-14 years) as finalists of the school-level games in one region of Brazil. We assess the anthropometric profile, maturity offset, physical fitness, and technical skills for handball. To propose the equation, the Discriminant Function Analysis method was used. The discriminant function was significant (p ≤ .05), had a good canonical correlation (0.590), and still had an average Wilk Lambda (0.652). The variables considered in the talent identification model included: 1. flexibility, 2. abdominal strength, 3. lower limbs muscle power, 4. agility, 5. defensive movement and 6. slalom with ball. The values from the equation for identifying school-age athletes with high motor skills and performance for handball can be classified by a cutoff point (Y = 0.192). The results showed that the mathematical-model obtained was able to select school-age athletes with high motor skills for handball, and with the profile for participation in high-level championships.
AbstractList The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players comprising these two groups: 100 girls who participated in the high-level handball championship in Brazil and 53 girls (age 13-14 years) as finalists of the school-level games in one region of Brazil. We assess the anthropometric profile, maturity offset, physical fitness, and technical skills for handball. To propose the equation, the Discriminant Function Analysis method was used. The discriminant function was significant (p ≤ .05), had a good canonical correlation (0.590), and still had an average Wilk Lambda (0.652). The variables considered in the talent identification model included: 1. flexibility, 2. abdominal strength, 3. lower limbs muscle power, 4. agility, 5. defensive movement and 6. slalom with ball. The values from the equation for identifying school-age athletes with high motor skills and performance for handball can be classified by a cutoff point (Y = 0.192). The results showed that the mathematical-model obtained was able to select school-age athletes with high motor skills for handball, and with the profile for participation in high-level championships.The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players comprising these two groups: 100 girls who participated in the high-level handball championship in Brazil and 53 girls (age 13-14 years) as finalists of the school-level games in one region of Brazil. We assess the anthropometric profile, maturity offset, physical fitness, and technical skills for handball. To propose the equation, the Discriminant Function Analysis method was used. The discriminant function was significant (p ≤ .05), had a good canonical correlation (0.590), and still had an average Wilk Lambda (0.652). The variables considered in the talent identification model included: 1. flexibility, 2. abdominal strength, 3. lower limbs muscle power, 4. agility, 5. defensive movement and 6. slalom with ball. The values from the equation for identifying school-age athletes with high motor skills and performance for handball can be classified by a cutoff point (Y = 0.192). The results showed that the mathematical-model obtained was able to select school-age athletes with high motor skills for handball, and with the profile for participation in high-level championships.
The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players comprising these two groups: 100 girls who participated in the high-level handball championship in Brazil and 53 girls (age 13-14 years) as finalists of the school-level games in one region of Brazil. We assess the anthropometric profile, maturity offset, physical fitness, and technical skills for handball. To propose the equation, the Discriminant Function Analysis method was used. The discriminant function was significant (  ≤ .05), had a good canonical correlation (0.590), and still had an average Wilk Lambda (0.652). The variables considered in the talent identification model included: 1. flexibility, 2. abdominal strength, 3. lower limbs muscle power, 4. agility, 5. defensive movement and 6. slalom with ball. The values from the equation for identifying school-age athletes with high motor skills and performance for handball can be classified by a cutoff point (Y = 0.192). The results showed that the mathematical-model obtained was able to select school-age athletes with high motor skills for handball, and with the profile for participation in high-level championships.
The present study aimed to identify parameters that best discriminate between high-level and scholar-level players for the Brazilian 13-14-year-old girl's handball and propose a mathematical model to identify sports talent for handball. The sample was made up of all available handball players comprising these two groups: 100 girls who participated in the high-level handball championship in Brazil and 53 girls (age 13-14 years) as finalists of the school-level games in one region of Brazil. We assess the anthropometric profile, maturity offset, physical fitness, and technical skills for handball. To propose the equation, the Discriminant Function Analysis method was used. The discriminant function was significant (p ≤ .05), had a good canonical correlation (0.590), and still had an average Wilk Lambda (0.652). The variables considered in the talent identification model included: 1. flexibility, 2. abdominal strength, 3. lower limbs muscle power, 4. agility, 5. defensive movement and 6. slalom with ball. The values from the equation for identifying school-age athletes with high motor skills and performance for handball can be classified by a cutoff point (Y = 0.192). The results showed that the mathematical-model obtained was able to select school-age athletes with high motor skills for handball, and with the profile for participation in high-level championships.
Author Pedretti, Augusto
Mello, Júlio B.
Gaya, Adroaldo C. A.
Caporal, Guilherme
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Cites_doi 10.16926/sit.2020.03.15
10.1002/sim.4196
10.1007/s40279-015-0428-2
10.1519/JSC.0000000000003892
10.1519/00124278-200505000-00014
10.1371/journal.pone.0242385
10.53841/bpssepr.2014.10.3.58
10.1590/1517-869220172305141727
10.1080/08985620601002162
10.1519/JSC.0b013e3181cc227e
10.26582/k.51.2.14
10.3390/ijerph20043353
10.1080/02640414.2022.2085439
10.1590/s1980-6574201600040011
10.1123/ijspp.2015-0732
10.1519/JSC.0b013e31823b0a46
10.1080/1612197X.2009.9671896
10.1055/s-0031-1298000
10.3390/ijerph19116946
10.1080/02640410252925116
10.3389/fpsyg.2017.01146
10.2478/HUKIN-2021-0017
10.5114/biolsport.2024.132999
10.3233/JSA-200467
10.2466/pms.108.3.670-676
10.2478/bhk-2023-0015
10.1186/s13102-022-00507-0
10.1080/02640410050120078
10.1249/00005768-200204000-00020
10.1080/02640410802482417
10.2174/1875399X00902010022
10.3102/00346543045004543
10.1080/02640414.2015.1012099
10.1371/journal.pone.0209288
10.1080/24748668.2023.2291247
10.1109/ICEFEET51821.2022.9848247
10.1111/sms.14440
10.3389/fpsyg.2020.00664
10.1055/a-2145-6454
10.1016/j.apunts.2013.06.004
10.3390/ijerph18010328
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References e_1_3_4_4_1
Salter J. (e_1_3_4_37_1) 2021; 69
e_1_3_4_3_1
e_1_3_4_2_1
e_1_3_4_9_1
e_1_3_4_8_1
e_1_3_4_42_1
e_1_3_4_7_1
e_1_3_4_20_1
e_1_3_4_41_1
e_1_3_4_6_1
e_1_3_4_23_1
e_1_3_4_46_1
e_1_3_4_24_1
e_1_3_4_45_1
e_1_3_4_21_1
e_1_3_4_22_1
e_1_3_4_43_1
e_1_3_4_27_1
e_1_3_4_28_1
e_1_3_4_25_1
e_1_3_4_26_1
e_1_3_4_47_1
Cavala M. (e_1_3_4_5_1) 2010; 34
e_1_3_4_29_1
Gaya A. R. (e_1_3_4_16_1) 2021
e_1_3_4_31_1
e_1_3_4_30_1
e_1_3_4_12_1
e_1_3_4_35_1
e_1_3_4_13_1
e_1_3_4_34_1
e_1_3_4_10_1
e_1_3_4_33_1
e_1_3_4_11_1
e_1_3_4_32_1
e_1_3_4_39_1
e_1_3_4_17_1
e_1_3_4_38_1
e_1_3_4_14_1
e_1_3_4_15_1
e_1_3_4_36_1
Spasic M. (e_1_3_4_40_1) 2015; 14
Wagner H. (e_1_3_4_44_1) 2014; 13
e_1_3_4_18_1
e_1_3_4_19_1
References_xml – volume: 34
  start-page: 1355
  issue: 4
  year: 2010
  ident: e_1_3_4_5_1
  article-title: Morphological, motor and situation-motor characteristics of elite female handball players according to playing performance and position
  publication-title: Collegium Antropologicum
– ident: e_1_3_4_34_1
  doi: 10.16926/sit.2020.03.15
– ident: e_1_3_4_8_1
  doi: 10.1002/sim.4196
– ident: e_1_3_4_31_1
  doi: 10.1007/s40279-015-0428-2
– ident: e_1_3_4_45_1
  doi: 10.1519/JSC.0000000000003892
– ident: e_1_3_4_21_1
  doi: 10.1519/00124278-200505000-00014
– ident: e_1_3_4_12_1
  doi: 10.1371/journal.pone.0242385
– volume: 14
  start-page: 501
  issue: 3
  year: 2015
  ident: e_1_3_4_40_1
  article-title: Reactive agility performance in handball; development and evaluation of a sport-specific measurement protocol
  publication-title: Journal of Sports Science & Medicine
– ident: e_1_3_4_9_1
  doi: 10.53841/bpssepr.2014.10.3.58
– ident: e_1_3_4_14_1
  doi: 10.1590/1517-869220172305141727
– ident: e_1_3_4_28_1
  doi: 10.1080/08985620601002162
– ident: e_1_3_4_36_1
  doi: 10.1519/JSC.0b013e3181cc227e
– volume: 13
  start-page: 808
  issue: 4
  year: 2014
  ident: e_1_3_4_44_1
  article-title: Individual and team performance in team-handball: A review
  publication-title: Journal of Sports Science & Medicine
– ident: e_1_3_4_35_1
  doi: 10.26582/k.51.2.14
– ident: e_1_3_4_15_1
  doi: 10.3390/ijerph20043353
– ident: e_1_3_4_38_1
  doi: 10.1080/02640414.2022.2085439
– ident: e_1_3_4_13_1
  doi: 10.1590/s1980-6574201600040011
– ident: e_1_3_4_46_1
  doi: 10.1123/ijspp.2015-0732
– ident: e_1_3_4_42_1
  doi: 10.1519/JSC.0b013e31823b0a46
– ident: e_1_3_4_20_1
  doi: 10.1080/1612197X.2009.9671896
– ident: e_1_3_4_24_1
  doi: 10.1055/s-0031-1298000
– ident: e_1_3_4_10_1
  doi: 10.3390/ijerph19116946
– ident: e_1_3_4_19_1
  doi: 10.1080/02640410252925116
– ident: e_1_3_4_39_1
  doi: 10.3389/fpsyg.2017.01146
– ident: e_1_3_4_3_1
  doi: 10.2478/HUKIN-2021-0017
– ident: e_1_3_4_6_1
  doi: 10.5114/biolsport.2024.132999
– ident: e_1_3_4_22_1
  doi: 10.3233/JSA-200467
– ident: e_1_3_4_43_1
  doi: 10.2466/pms.108.3.670-676
– ident: e_1_3_4_18_1
  doi: 10.2478/bhk-2023-0015
– volume: 69
  start-page: 20
  year: 2021
  ident: e_1_3_4_37_1
  article-title: A stitch in time saves nine: The importance of biological maturation for talented athlete development
  publication-title: The Sport & Exercise Scientist
– ident: e_1_3_4_11_1
  doi: 10.1186/s13102-022-00507-0
– ident: e_1_3_4_32_1
  doi: 10.1080/02640410050120078
– ident: e_1_3_4_26_1
  doi: 10.1249/00005768-200204000-00020
– ident: e_1_3_4_27_1
  doi: 10.1080/02640410802482417
– ident: e_1_3_4_47_1
  doi: 10.2174/1875399X00902010022
– ident: e_1_3_4_17_1
  doi: 10.3102/00346543045004543
– ident: e_1_3_4_29_1
  doi: 10.1080/02640414.2015.1012099
– ident: e_1_3_4_4_1
  doi: 10.1371/journal.pone.0209288
– ident: e_1_3_4_25_1
  doi: 10.1080/24748668.2023.2291247
– ident: e_1_3_4_33_1
  doi: 10.1109/ICEFEET51821.2022.9848247
– volume-title: Projeto Esporte Brasil, PROESP-Br: Manual de medidas, testes e avaliações
  year: 2021
  ident: e_1_3_4_16_1
– ident: e_1_3_4_30_1
  doi: 10.1111/sms.14440
– ident: e_1_3_4_41_1
  doi: 10.3389/fpsyg.2020.00664
– ident: e_1_3_4_7_1
  doi: 10.1055/a-2145-6454
– ident: e_1_3_4_23_1
  doi: 10.1016/j.apunts.2013.06.004
– ident: e_1_3_4_2_1
  doi: 10.3390/ijerph18010328
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StartPage 1002
SubjectTerms Adolescent
Anthropometry - methods
Aptitude
Athletic Performance - physiology
Brazil
Collective sports
Female
girls
Humans
Models, Theoretical
Motor Skills - physiology
Muscle Strength - physiology
physical fitness
Physical Fitness - physiology
Range of Motion, Articular - physiology
Sports - physiology
sports talent
youth
Title School-Age Talent Identification in Female Handball by a Mathematical Model: Equation Proposed from Anthropometry, Maturity Offset, Fitness and Technical Field-Tests
URI https://www.tandfonline.com/doi/abs/10.1080/02701367.2024.2358962
https://www.ncbi.nlm.nih.gov/pubmed/38941625
https://www.proquest.com/docview/3073654125
Volume 95
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