Paulo Francisco de Almeida-Neto1,2, Rafaela Catherine da Silva Cunha de Medeiros1,2,3, Dihogo Gama de Matos4, Adam D G Baxter-Jones5, Felipe J Aidar6, Gilmara Gomes de Assis7,8, Paulo Moreira Silva Dantas1,2, Breno Guilherme de Araújo Tinôco Cabral1,2. 1. Health Sciences Center-Department of Physical Education, Federal University of Rio Grande do Norte, DEF-UFRN, Natal, RN, Brazil. 2. Health Sciences Center, Federal University of Rio Grande do Norte, CCS-UFRN, Natal, RN, Brazil. 3. Department of Physical Education-State University of Rio Grande do Norte, UERN, Mossoró, RN, Brazil. 4. Cardiovascular & Physiology of Exercise Laboratory, Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, Canada. 5. College of Kinesiology, University of Saskatchewan, Saskatoon, Canada. 6. Department of Physical Education, Federal University of Sergipe, UFS, São Cristovão, SE, Brazil. 7. Department of Molecular Biology, Gdansk University of Physical Education, Gdansk, Poland. 8. Department of Applied Physiology, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland.
Abstract
BACKGROUND: The biological maturation (BM) analyzed by peak height velocity (PHV) and bone age (BA), and lean body mass has been associated with the strength and muscle power of young athletes. However, the ability of BM (PHV and BA) and LM markers to predict muscle strength and power in young athletes remains uncertain. OBJECTIVE: The Aim was determine the predicting power of BM markers (PHV and BA) and LM in relation to muscle power of upper and lower limbs and muscle strength of upper limbs in adolescent athletes at puberty. METHODS: Ninety-two adolescent athletes (both sexes; age 12.4 ± 1.02 years) were assessed for body composition by dual-energy X-ray absorptiometry (DXA). Power of upper limbs (ULP), force handgrip (HG), vertical jump (VJ) and countermovement jump (CMJ) were recorded. BM was predicted by mathematical models to estimate PHV and BA. Multilayer artificial neural network analyses (MLP's) were used to determine the power of prediction of LM, PHV and BA on muscle power and strength of upper- and lower-limbs of the athletes. RESULTS: LM, BA and PHV were associated with HG (r>0.74, p<0.05) and ULS (r>0.60, p<0.05) in both sexes. In both sexes BA was associated with VJ (r>0.55, p<0.05) and CMJ (r>0.53, p<0.05). LM indicated associations (r>0.60, p<0.05) with BA and with PHV (r<0.83, p<0.05) in both sexes. MLP's analysis revealed that the LM provides > 72% of probability to predict the muscle power of upper- and lower-limbs, and the strength of the upper limbs; whereas PHV provides > 43% and bone age >64% in both female and male adolescent athletes. CONCLUSION: We identified that, like PHV and BA, LM is a strong predictor of low cost of both upper limbs muscle strength and upper and lower limbs power in adolescent athletes.
BACKGROUND: The biological maturation (BM) analyzed by peak height velocity (PHV) and bone age (BA), and lean body mass has been associated with the strength and muscle power of young athletes. However, the ability of BM (PHV and BA) and LM markers to predict muscle strength and power in young athletes remains uncertain. OBJECTIVE: The Aim was determine the predicting power of BM markers (PHV and BA) and LM in relation to muscle power of upper and lower limbs and muscle strength of upper limbs in adolescent athletes at puberty. METHODS: Ninety-two adolescent athletes (both sexes; age 12.4 ± 1.02 years) were assessed for body composition by dual-energy X-ray absorptiometry (DXA). Power of upper limbs (ULP), force handgrip (HG), vertical jump (VJ) and countermovement jump (CMJ) were recorded. BM was predicted by mathematical models to estimate PHV and BA. Multilayer artificial neural network analyses (MLP's) were used to determine the power of prediction of LM, PHV and BA on muscle power and strength of upper- and lower-limbs of the athletes. RESULTS: LM, BA and PHV were associated with HG (r>0.74, p<0.05) and ULS (r>0.60, p<0.05) in both sexes. In both sexes BA was associated with VJ (r>0.55, p<0.05) and CMJ (r>0.53, p<0.05). LM indicated associations (r>0.60, p<0.05) with BA and with PHV (r<0.83, p<0.05) in both sexes. MLP's analysis revealed that the LM provides > 72% of probability to predict the muscle power of upper- and lower-limbs, and the strength of the upper limbs; whereas PHV provides > 43% and bone age >64% in both female and male adolescent athletes. CONCLUSION: We identified that, like PHV and BA, LM is a strong predictor of low cost of both upper limbs muscle strength and upper and lower limbs power in adolescent athletes.
Authors: Paulo Francisco de Almeida-Neto; Luiz Felipe Da Silva; Bianca Miarka; Jason Azevedo De Medeiros; Rafaela Catherine da Silva Cunha de Medeiros; Rafael Pereira Azevedo Teixeira; Felipe J Aidar; Breno Guilherme De Araujo Tinoco Cabral; Paulo Moreira Silva Dantas Journal: Front Physiol Date: 2022-05-17 Impact factor: 4.755
Authors: Bartosz Wilczyński; Łukasz Radzimiński; Agnieszka Sobierajska-Rek; Karol de Tillier; Jakub Bracha; Katarzyna Zorena Journal: Biology (Basel) Date: 2022-08-03
Authors: Eduard Bezuglov; Anton Emanov; Zbigniew Waśkiewicz; Nadezhda Semeniuk; Mikhail Butovsky; Maria Shoshorina; Daria Baranova; Kristina Volodina; Ryland Morgans Journal: Front Psychol Date: 2022-06-02
Authors: Jang Soo Yook; Da Yoon Kim; Dong Hun Choi; Min-Seong Ha; Yoon Young Hwang Journal: Int J Environ Res Public Health Date: 2022-09-24 Impact factor: 4.614