Literature DB >> 7283388

Chronological and biological age as related to physical fitness in boys 12 to 19 years.

G Beunen, M Ostyn, J Simons, R Renson, D Van Gerven.   

Abstract

The relative importance of skeletal age and chronological age in explaining body measurements and the relative importance of skeletal age, chronological age, height, weight, and their interactions in explaining motor fitness components are reported. Anthropometric, motor fitness, and skeletal maturity data have been collected in a mixed longitudinal study of Belgian school boys 12+/- - 19+/- years. At each age level multiple regression equations were calculated to evaluate the relative importance of the independent variables. Skeletal age was assessed by the TW2 method and the anthropometric measurements were taken following standard procedures. The motor fitness tests were selected on their factor loading and reliability in the same age range. Between 13 and 16 years a fairly high percentage of the variation in body dimensions is explained by skeletal age (+/-50% for stature). The percentage of explained variance reaches its maximum at 14-15 years. The highest percentage is found for linear dimensions and weight followed by bone width dimensions and circumferences. Triceps and calf skinfolds are not related to skeletal age. Chronological age as such does not contribute in the prediction of body measurements. The interaction between chronological age and skeletal age as such or in combination with height and/or weight have the highest predictive value except for trunk strength (leg lifting) and functional strength (bent arm hang). Except for static strength (arm pull), for which the explained variance ranged from 33% to 58%, the predictive value of body size, maturity, chronological age and their interactions is rather low, varying between 0% and 17%. As for body dimensions, the explained variance reaches its maximum for most motor tests at 14-15 years.

Entities:  

Mesh:

Year:  1981        PMID: 7283388     DOI: 10.1080/03014468100005121

Source DB:  PubMed          Journal:  Ann Hum Biol        ISSN: 0301-4460            Impact factor:   1.533


  9 in total

1.  Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13-15 years.

Authors:  Robert M Malina; Joey C Eisenmann; Sean P Cumming; Basil Ribeiro; João Aroso
Journal:  Eur J Appl Physiol       Date:  2003-11-27       Impact factor: 3.078

Review 2.  A Review of the Anthropometric Characteristics, Grading and Dispensation of Junior and Youth Rugby Union Players in Australia.

Authors:  Declan Alexander Patton; Andrew Stuart McIntosh; Greg Denny
Journal:  Sports Med       Date:  2016-08       Impact factor: 11.136

3.  Talent identification and development programmes in sport : current models and future directions.

Authors:  Roel Vaeyens; Matthieu Lenoir; A Mark Williams; Renaat M Philippaerts
Journal:  Sports Med       Date:  2008       Impact factor: 11.136

4.  Motor Learning as Young Gymnast's Talent Indicator.

Authors:  Alessandra di Cagno; Claudia Battaglia; Giovanni Fiorilli; Marina Piazza; Arrigo Giombini; Federica Fagnani; Paolo Borrione; Giuseppe Calcagno; Fabio Pigozzi
Journal:  J Sports Sci Med       Date:  2014-12-01       Impact factor: 2.988

5.  Growth and development of young athletes. Should competition levels be age related?

Authors:  A D Baxter-Jones
Journal:  Sports Med       Date:  1995-08       Impact factor: 11.136

6.  Sports activities related to injuries? A survey among 9-19 year olds in Switzerland.

Authors:  P A Michaud; A Renaud; F Narring
Journal:  Inj Prev       Date:  2001-03       Impact factor: 2.399

7.  Repeated Dribbling Ability in Young Soccer Players: Reproducibility and Variation by the Competitive Level.

Authors:  João P Duarte; Óscar Tavares; João Valente-Dos-Santos; Vítor Severino; Alexis Ahmed; Ricardo Rebelo-Gonçalves; João R Pereira; Vasco Vaz; Susana Póvoas; André Seabra; Sean P Cumming; Manuel J Coelho-E-Silva
Journal:  J Hum Kinet       Date:  2016-10-14       Impact factor: 2.193

8.  Chronological and Skeletal Age in Relation to Physical Fitness Performance in Preschool Children.

Authors:  Dandan Ke; Dajiang Lu; Guang Cai; Xiaofei Wang; Jing Zhang; Koya Suzuki
Journal:  Front Pediatr       Date:  2021-05-14       Impact factor: 3.418

9.  An Allometric Modelling Approach to Identify the Optimal Body Shape Associated with, and Differences between Brazilian and Peruvian Youth Motor Performance.

Authors:  Simonete Silva; Alcibíades Bustamante; Alan Nevill; Peter T Katzmarzyk; Duarte Freitas; António Prista; José Maia
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.