Can the elite slalom kayaker’s performance be correlated with anthropometric, nutritional, genetic, psychological as sleep traits?
Autor: | Fúlvia de Barros Manchado-Gobatto, Elton Dias da Silva, Marciane Milanski, Andrea Maculano Esteves, Homero Gustavo Ferrari, Kelly Cristina Malavazi-Piza, Andressa Reginato, Marta Fuentes Rojas, João Bosco Pesquero, Leonardo Henrique Dalcheco Messias |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Health (social science)
simulated race canoe slalom exercise performance 030204 cardiovascular system & hematology Profile of mood states Pittsburgh Sleep Quality Index 03 medical and health sciences lcsh:GV557-1198.995 0302 clinical medicine Time trial elite athletes Anxiety test lcsh:Sports medicine lcsh:Sports biology Athletes 030229 sport sciences General Medicine Anthropometry biology.organism_classification Sleep in non-human animals Mood multifactorial analysis Psychology lcsh:RC1200-1245 Clinical psychology |
Zdroj: | Motriz: Revista de Educacao Fisica, Vol 24, Iss 2 (2018) Motriz: Revista de Educação Física, Volume: 24, Issue: 2, Article number: e101858, Published: 21 SEP 2018 Motriz: Revista de Educação Física v.24 n.2 2018 Motriz Universidade Estadual Paulista (UNESP) instacron:UNESP |
ISSN: | 1980-6574 |
Popis: | AIMS The aims of this study were to investigate and characterize the anthropometric, nutritional, genetic, psychological and sleep variables of slalom kayakers, and to verify the correlation of these variables with the slalom kayakers’ performance. METHODS Ten elite Brazilian team slalom kayakers participated of this study. Nutritional analysis was made by the Food Record (three days), 24 Hour Dietary Recall and Food Frequency Questionnaire. The ACE I/D, AGTMet235Thr, ACTN3R577X and BDKRB2+9/-9 were genotyped for genetic profile. The Profile of Mood States (POMS) and Sports Competition Anxiety Test (SCAT) were applied to investigate the psychological variables. The Pittsburgh Sleep Quality Index (PSQI), Epworth Sleep Scale (ESS) and Morningness-eveningness questionnaire (MEQ) were used for sleep traits analysis. Performance trials were performed on a white-water course with 24 gates, and finish time was considered as the variable related to performance. RESULTS Significant correlations were obtained between Performance Time Trial and %Fat (r=0.77), Energy (r=-0.75), Protein (r=-0.76), Carbohydrate (r=-0.72), Vitamin B6 (r=-0.87), Vitamin A (r=-0.82), Thiamine (r=-0.77), Riboflavin (r=-0.71), Magnesium (r=-0.86) and Phosphorus (r=-0.74) intake, besides the Fatigue mood domain (r=0.73) and the SCAT score (r=0.67). Athletes genotyped with the I, T, R and +9 alelle also presented better performances. CONCLUSIONSIn summary, the novel results provided by this study reinforce the necessity of considering several aspects during athlete development in order to achieve better performance in competitions. |
Databáze: | OpenAIRE |
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