| Analysis of power output time series in response to supramaximal exercise: an approach through dynamic factor analysis. | |
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MedLine Citation:
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PMID: 21467585 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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The responses to supramaximal exercise testing have been traditionally analyzed by means of standard parametric and nonparametric statistics. Unfortunately, these statistical approaches do not allow insight into the pattern of variation of a given parameter over time. The purpose of this study was to determine if the application of dynamic factor analysis (DFA) allowed discriminating different patterns of power output (PO), during supramaximal exercise, in two groups of children engaged in competitive sports: swimmers and soccer players. Data derived from Wingate testing were used in this study. Analyses were performed on epochs (30 s) of upper and lower body PO obtained from twenty two healthy boys (11 swimmers and 11 soccer players) age 11-12 years old. DFA revealed two distinct patterns of PO during Wingate. Swimmers tended to attain their peak PO (upper and lower body) earlier than soccer players. As importantly, DFA showed that children with a given pattern of upper body PO tend to perform similarly during lower body exercise. |
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Authors:
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Paula Marta Bruno; Fernando Duarte Pereira; Renato Fernandes; Goncalo Vilhena de Mendonça |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Pediatric exercise science Volume: 23 ISSN: 1543-2920 ISO Abbreviation: Pediatr Exerc Sci Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-04-06 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8909729 Medline TA: Pediatr Exerc Sci Country: United States |
Other Details:
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Languages: eng Pagination: 3-16 Citation Subset: IM |
Affiliation:
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CIPER, Faculty of Human Kinetics, Technical University of Lisbon, Portugal. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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