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1.
Int J Sports Physiol Perform ; 3(1): 41-54, 2008 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-19193953

RESUMO

PURPOSE: To identify the physiological and anthropometric predictors of rhythmic gymnastics performance, which was defined from the total ranking score of each athlete in a national competition. METHODS: Thirty-four rhythmic gymnasts were divided into 2 groups, elite (n = 15) and nonelite (n = 19), and they underwent a battery of anthropometric, physical fitness, and physiological measurements. The principal-components analysis extracted 6 components: anthropometric, flexibility, explosive strength, aerobic capacity, body dimensions, and anaerobic metabolism. These were used in a simultaneous multiple-regression procedure to determine which best explain the variance in rhythmic gymnastics performance. RESULTS: Based on the principal-component analysis, the anthropometric component explained 45% of the total variance, flexibility 12.1%, explosive strength 9.2%, aerobic capacity 7.4%, body dimensions 6.8%, and anaerobic metabolism 4.6%. Components of anthropometric (r = .50) and aerobic capacity (r = .49) were significantly correlated with performance (P < .01). When the multiple-regression model-y = 10.708 + (0.0005121 x VO2max) + (0.157 x arm span) + (0.814 x midthigh circumference) - (0.293 x body mass)-was applied to elite gymnasts, 92.5% of the variation was explained by VO2max (58.9%), arm span (12%), midthigh circumference (13.1%), and body mass (8.5%). CONCLUSION: Selected anthropometric characteristics, aerobic power, flexibility, and explosive strength are important determinants of successful performance. These findings might have practical implications for both training and talent identification in rhythmic gymnastics.


Assuntos
Limiar Anaeróbio/fisiologia , Antropometria , Exercício Físico/fisiologia , Ginástica/fisiologia , Força Muscular/fisiologia , Músculo Esquelético/fisiologia , Aptidão Física/fisiologia , Amplitude de Movimento Articular/fisiologia , Adolescente , Análise de Variância , Composição Corporal , Feminino , Humanos , Modelos Estatísticos , Contração Muscular/fisiologia , Projetos Piloto , Análise de Regressão , Estatística como Assunto
2.
Int J Sports Physiol Perform ; 2(3): 239-49, 2007 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19168924

RESUMO

PURPOSE: To investigate the acute changes in leukocyte number and cortisol after a single bout of soccer training. METHODS: Ten elite female national-team soccer players and 8 nonathletes participated in the study. The duration of the exercise was 2 h, and it was performed at an intensity of 75% of maximal heart rate (HRmax). Blood samples were taken before, immediately after, and 4 h after a soccer training session to determine total white blood cells; the subsets of neutrophils, lymphocytes, monocytes, eosinophils, and basophils; and cortisol. At the same time, blood samples were obtained from nonathletes who refrained from exercise. RESULTS: Data analysis indicated a significant increase in total white blood cells in the athletes postexercise (P < .001). The leukocytosis was still evident after 4 h of recovery (78% higher than the preexercise values), and there was a significant difference between athletes and nonathletes (P < .001). This leukocytosis was primarily caused by neutrophilia-there were no significant differences in lymphocytes after the end of exercise or between the 2 groups (P > 0.05). In addition, there was a statistically significant difference in cortisol concentration between athletes and nonathletes after the exercise (P < .001). CONCLUSION: These findings revealed that the single bout of soccer training at an intensity of 75% of HRmax induced leukocytosis without affecting the lymphocyte count in elite female athletes and probably the effectiveness of cellular components of adaptive immunity. Coaches should provide adequate time (>4 h) until the next exercise session.


Assuntos
Contagem de Leucócitos , Leucócitos , Futebol/fisiologia , Adulto , Análise de Variância , Antropometria , Estudos de Casos e Controles , Feminino , Frequência Cardíaca , Humanos , Imunidade Inata , Leucocitose , Neutrófilos , Consumo de Oxigênio , Fatores de Tempo
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