Rev. Bras.Cineantropom. Desempenho Hum. 2008;10(3):266-270 índiCE dE massa Corporal E doBras CutÂnEas Como indiCadorEs dE oBEsidadE Em EsColarEs dE 8 a 10 anos BODY MASS INDEX AND SKINFOLDS AS INDICATORS OF OBESITY IN SCHOOLCHILDREN AGED 8 TO 10 YEARS rEsumo O objetivo deste estudo foi comparar a concordância entre dois indicadores de obesidade, IMC e percentual de gordura, em escolares de ambos os sexos. Para tanto, 100 meninas e 100 meninos de 8 a 10 anos, alunos do ensino fundamental do município de Londrina, foram submetidos a medidas antropométricas para subseqüente cálculo do Índice de Massa Corporal (IMC) e percentual de gordura como indicadores de obesidade. As variáveis foram analisadas em relação aos critérios de referência apresentados por Williams et al 6 e Cole et al 7 .Os resultados foram analisados pelo índice Kappa, evidenciando que 79% dos meninos e 85% das meninas foram classifi cados simultaneamente pelos dois procedimentos. Uma concordância moderada entre os dois indicadores de obesidade na classifi cação para meninos e meninas foi evidenciada (kappa=0,43 e 0,50, respectivamente). Entretanto, os dados encontrados demonstraram que 21% dos meninos e 15% das meninas encontravam-se dentro de uma faixa de peso considerada normal, segundo o IMC, contudo, de acordo com o percentual de gordura corporal, apresentavam um quadro de obesidade. Os resultados demonstraram que o IMC, quando comparado ao percentual de gordura, apresentou concordância moderada para classifi car crianças de ambos os sexos, de 8 a 10 anos, em relação à obesidade, acima e dentro do critério de referência para saúde. palavras-chave:Obesidade; IMC; Percentual de gordura; Crianças. aBstraCtThe aim of this study was to compare the concordance of two obesity indicators, BMI and % body fat in boys and girls. Therefore, 100 girls and 100 boys, with ages ranging from 8 to 10 years, were submitted to anthropometric measurements for subsequent calculation of Body Mass Index (BMI) and % body fat, both as obesity indicators. The variables were analyzed with relation to the reference criteria proposed by Williams et al 6 and Cole et al 7 . The results were then analyzed with the kappa index, elucidating that 79% of the boys and 85% of the girls were classifi ed simultaneously by both procedures. The kappa index indicated a moderate agreement between the two obesity indicators for obese and non-obese classifi cation. However, our data demonstrated that 21% of the boys and 15% of the girls showed normal weight according to BMI, but were classifi ed as obese according to the % body fat. The results show that BMI, when compared with skinfolds, had moderate agreement in children from 8 to 10 years old for detecting obesity.
IntroductionThe present study aimed to investigate the effects of two high-intensity interval training (HIIT) shuttle-run-based models, over 10 weeks on aerobic, anaerobic, and neuromuscular parameters, and the association of the training load and heart rate variability (HRV) with the change in the measures in young futsal players.MethodsEleven young male futsal players (age: 18.5 ± 1.1 years; body mass: 70.5 ± 5.7 kg) participated in this study. This pre-post study design was performed during a typical 10 weeks training period. HIIT sessions were conducted at 86% (HIIT86; n = 6) and 100% (HIIT100; n = 5) of peak speed of the FIET. Additionally, friendly and official matches, technical-tactical and strength-power training sessions were performed. Before and after the training period, all players performed the FIET, treadmill incremental, repeated sprint ability (RSA), sprint 15-m, and vertical jump tests (CMJ and SJ), and the HRV was measured. Training load (TL) was monitored using the session rating of perceived effort. Data analysis was carried out using Bayesian inference methods.ResultsThe HIIT86 model showed clear improvements for the peak oxygen uptake (VO2peak), peak speed in the treadmill incremental test, first and second ventilatory thresholds, RSA best and mean times, CMJ, and SJ. The HIIT100 model presented distinct advances in VO2peak, peak speed in the treadmill incremental test, RSA mean time, and CMJ. Between HIIT models comparisons showed more favorable probabilities of improvement for HIIT86 than HIIT100 model in all parameters. TL data and HIIT models strongly explained the changes in the RSA mean and best times (R2 = 0.71 and 0.87, respectively), as well as HRV changes, and HIIT models explained positively VO2peak changes (R2 = 0.72). All other changes in the parameters were low to moderately explained.ConclusionThe HIIT86 proved to be more effective for improving aerobic, RSA, and neuromuscular parameters than HIIT100 during a typical 10-week futsal training period. So, strength and conditioning specialists prescribing shuttle-run intermittent exercises at submaximal intensities can manage the individual acceleration load imposed on athlete increasing or decreasing either the set duration or the frequency of change of direction during HIIT programming.
Padoin, S, Zeffa, AC, Molina Corrêa, JC, de Angelis, TR, Moreira, TB, Barazetti, LK, and de Paula Ramos, S. Phototherapy improves muscle recovery and does not impair repeated bout effect in plyometric exercise. J Strength Cond Res 36(12): 3301–3310, 2022—The effects of photobiomodulation with red (630 nm) and near-infrared (940 nm) light wavelengths were investigated on the inhibition of exercise-induced muscle damage (EIMD) and adaptation to the repeated bout effect (RBE). Twenty-eight healthy men were randomized to receive light-emitting diode therapy (LEDT) at 630 nm (4.6 J·cm−2, 97 J energy), LEDT at 940 nm (4.6 J·cm−2, 114 J), or placebo. After LEDT or placebo treatment, subjects performed 100 drop-jumps (5 sets of 20 repetitions). Creatine kinase, delayed-onset muscle soreness (DOMS), countermovement jump (CMJ), and squat jump (SJ) were assessed before, immediately after, and 24, 48, and 72 hours after the bout. After 14 days, the subjects were submitted to the same plyometric exercise, without LEDT, and were evaluated again. Creatine kinase levels increased significantly 72 hours after the first bout in the placebo group in relation to the LEDT 940-nm group (P < 0.01). The LEDT 630-nm group showed a significant increase in SJ at 24 hours (P < 0.05), whereas, at 48 hours, the LEDT 940 nm showed a significant increase compared with the placebo group (P < 0.05). The 2-way analysis of variance revealed an effect for treatment in the SJ (F = 7.12; P = 0.001). No differences were found between groups for DOMS and CMJ after the first bout. After the second bout of exercise, there was no effect of treatment. The results suggest that treatment with LEDT 630 nm and LEDT 940 nm before eccentric exercise attenuates EIMD without impairing RBE.
As variáveis sono e os estados de humor são aspectos psicológicos influenciados pela prática de exercício físico, dessa forma, o objetivo da pesquisa foi investigar o efeito de 16 semanas de prática de corrida em relação à auto avaliação do sono e às mudanças nos estados de humor. Participaram da pesquisa 18 corredores recreacionais (13 Mulheres; 5 Homens). A Escala de Humor de Brunel (BRUMS) avaliou os Estados de Humor, sendo aplicado antes e depois do treino, já a questão autorreferida sobre o sono foi feita apenas antes do treino. Aplicou-se estatística descritiva e inferencial para avaliar as relações entre sono, humor e corrida, as diferenças foram consideradas estatisticamente significativa quando p < 0.05. Os resultados apresentaram 5 das variáveis do humor raiva, tensão, depressão, confusão e fadiga apresentaram mudanças significativas pré e pós intervenção, já o vigor não se alterou. O tamanho do efeito mostrou uma grande magnitude na redução da raiva e depressão, moderada redução da tensão e confusão, insignificante redução do vigor e um aumento pequeno na magnitude da fadiga. Com relação a auto avaliação do sono, não se verificou diferença significativa pré e pós intervenção. Pode-se concluir que a prática de corrida de rua em intensidade moderada pode melhorar a qualidade do sono, e a manutenção dos níveis adequados de humor.
The aim of this study was to compare the characteristics of somatic maturation, anthropometric and physical performance (vertical jump and aerobic power) in young basketball players of different playing positions (under 13 years) and analyze these relationships using Peak Height Velocity (PHV) as a measure of somatic maturation. For this, 26 male athletes were evaluated. Anthropometric variables were: body mass, standing and sitting height, and length of lower limbs. Maturation was determined by age at PHV. Physical performance was determined by lower limb power (counter movement jump - CMJ) and aerobic power (Intermittent Recovery Test) tests. MANOVA reported significant differences (p<0.05) among playing positions regarding variables Maturity Offset, estimated PHV age, standing height, sitting height, estimated leg length, body mass and Yo-Yo IR1. In addition, it was identified that point guards reached estimated PHV at later age than their peers who act as small forwards and centers. Regarding CMJ, no significant differences were identified among playing positions, but in relation to aerobic power, point guards and small forwards presented higher performance. These findings confirm that maturation has great effect on growth and physical performance measures and the estimated PHV age is an applicable tool in young athletes, mainly aiding professionals in structuring the teaching-learning- training process in this age group.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.