2017
DOI: 10.5007/1980-0037.2017v19n3p364
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Abstract: The aim of the present study was to analyze the association between birthplace and relative age with winning Olympic medals in Brazilian athletes. he sample consisted of 186 Olympic medalist athletes born in Brazil. Data analysis was performed through descriptive (incidence and percentage) and inferential statistics (Chi-Square to binary logistic regression). he association between population contingents and Olympic champions presented a signiicant result (p <0.05); however, no signiicant associations were … Show more

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Cited by 9 publications
(9 citation statements)
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“…The purpose of this study was to establish whether runners’ performance varies between different states, as well as to identify the factors associated with this performance difference, based on a multilevel modelling approach. There was relevant between- and within-state variance in running performance that was somewhat expected, since previous studies have already reported discrepancies regarding the distribution of the best runners [ 19 , 42 ], or even distribution of Brazilian elite athletes [ 8 , 23 ] across states, meaning that differences in the pace of non-elite runners between states would be expected. Moreover, even within states, there is a diversity of social, cultural, and economic aspects, which, in association with runners’ motivation/interests, would probably influence and differentiate their performance.…”
Section: Discussionmentioning
confidence: 87%
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“…The purpose of this study was to establish whether runners’ performance varies between different states, as well as to identify the factors associated with this performance difference, based on a multilevel modelling approach. There was relevant between- and within-state variance in running performance that was somewhat expected, since previous studies have already reported discrepancies regarding the distribution of the best runners [ 19 , 42 ], or even distribution of Brazilian elite athletes [ 8 , 23 ] across states, meaning that differences in the pace of non-elite runners between states would be expected. Moreover, even within states, there is a diversity of social, cultural, and economic aspects, which, in association with runners’ motivation/interests, would probably influence and differentiate their performance.…”
Section: Discussionmentioning
confidence: 87%
“…Sports performance is a multifactorial trait, determined by different predictors related to both the subject and the environment [ 1 ]. Previous studies have analyzed the influence of psychological and physiological aspects [ 2 , 3 ], body composition [ 4 ], anthropometric traits [ 5 ], and/or environmental characteristics [ 6 ], such as training structure [ 7 ], birthplace [ 8 ], family and coaching support [ 9 ], socio-economic, and cultural aspects [ 10 , 11 ], which may influence the level of sporting achievement.…”
Section: Introductionmentioning
confidence: 99%
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“…Ten players were classified as the regional performance-level group (RP) according criteria proposed by Zagatto et al (2010), which includes athletes that had more than 5 years of systematic and regular training, and that competed in regional and national tournaments. Regional players were recruited from the Southeastern region, Brazil [i.e., the region detected as the one with better conditions for athlete’s development in Brazil (Tozetto et al, 2017)] via table tennis training centers, clubs, and coaches. Local-performance level group (LP) was composed of nine undergraduate students with low experience in table tennis and without participation in regional or national tournaments.…”
Section: Methodsmentioning
confidence: 99%