Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis

Gonçalves, Carlos E.; Carvalho, Humberto M.

doi:10.3389/fspor.2020.581845

Cited by 9 publications

(6 citation statements)

References 41 publications

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“…The endurance capacity of the players was evaluated following the protocol of the Intermittent Recovery Yo-Yo level 1 test ( Krustrup et al, 2003 ). In addition to recording the total meters run by each athlete in this test, the theoretical VO 2 max was estimated using the equation of Bangsbo, Iaia & Krustrup (2008) , which has been previously used in similar contexts ( Gonçalves & Carvalho, 2021 ; Macpherson & Weston, 2015 ; Köklü et al, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

Adherence to the Mediterranean diet, kinanthropometric characteristics and physical performance of young male handball players

Romero-García

Esparza-Ros

García

et al. 2022

PeerJ

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Introduction Handball is a team sport whose performance depends on a large number of factors. The objectives of the present study were to analyze the differences in physical performance, kinanthropometric variables, and adherence to the Mediterranean diet (MD), in handball players according to sports category, as well as the possible relationships between these variables. Methods One hundred and thirty-three male handball players (35 infant; 46 cadets; 26 juniors and 26 seniors players) underwent a kinanthropometric analysis following the ISAK protocol, self-completed the KIDMED questionnaire, and their physical condition was evaluated with different physical tests. Results Significant differences (p < 0.001–0.007) were found between the sports categories in most of the physical condition variables and anthropometric characteristics, but not in the degree of adherence to the MD. The predominant level of adherence to the MD was medium (47.4%), followed by good (42.1%), and correlated with the body mass, the height, the BMI, the muscle mass and the ∑3-girths sum corrected, but not with physical test results. A multiple linear regression analysis showed that the fat mass and muscle mass variables had a more specific weight in the results of the physical fitness tests. Conclusions There are differences according to sports category in kinanthropometric characteristics and physical fitness tests in adolescent handball players. The predominant degrees of adherence to the MD were medium and good. A relationship was found between anthropometric characteristics and physical performance in handball players.

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Section: Methodsmentioning

confidence: 99%

Adherence to the Mediterranean diet, kinanthropometric characteristics and physical performance of young male handball players

Romero-García

Esparza-Ros

García

et al. 2022

PeerJ

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“…Basketball is a comprehensive and direct competition, strong objective dependence on the collective project [7].…”

Section: Introductionmentioning

confidence: 99%

Psychological Analysis of Athletes during Basketball Games from the Perspective of Deep Learning

Meng

2022

Mobile Information Systems

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Due to the influence of psychological factors during sports, basketball players often change the shooting rhythm in sports, which will reduce the shooting rate and directly affect the training effect. Therefore, we need to analyze the basketball shooting process of some athletes, which is not a complete negation of traditional training methods, but a psychological analysis of some athletes’ shooting in the course of competition, so as to complement the feedback and training information after the game. With the great improvement of computer computing power, deep learning natural language processing can help people analyze and solve previously unsolvable problems in production and life. The psychological emotion of adolescence has a great influence on the study and life of middle school students. At present, the unified monitoring and analysis of the daily life of middle school students need not only a lot of manpower, but also slow speed. If the psychological problems are not found in time and feedback is given, it will cause a series of adverse effects on individual athletes. The neural network model based on deep learning can process students' daily mass text information quickly and accurately, and then give comprehensive judgment, which is a good solution. This paper applies the neural network algorithm of the Bi-LSTM model and CNN model to study the text data, and finally has 95.55% and 90.03% accuracy in the psychological analysis experiment, which provides a feasible solution to solve the batch rapid analysis of psychological changes reflected in the daily text of athletes during basketball. Some suggestions are put forward on how to strengthen and improve the psychological quality of college basketball players and their ability to bear pressure and difficulties.

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“…Often overlooked, the offset equations estimate timing (i.e., the age at which a given pubertal milestone is reached). However, the interest in interpreting young athletes' performance and development lies in tempo information, i.e., the rate of within-person progression through maturation stages ( 29 ). To interpret variation in maturity status between individuals, we compared the estimates of timing obtained with the sex-specific offset equations against the population references based on meta-analysis estimations ( 14 ).…”

Section: Methodsmentioning

confidence: 99%

Does early specialization provide an advantage in physical fitness development in youth basketball?

Soares

Lima

Miguel

et al. 2023

Front. Sports Act. Living

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The present study examined the influence of the specialization onset on the magnitude and patterns of changes in basketball-specific physical fitness within a competitive season and developmental fitness trends between 11 and 17 years in young basketball players. Repeated measures of 181 young basketball players (female, n = 40; male, n = 141) were examined. Anthropometry, age, estimated maturity status, and basketball-specific physical fitness (assessed with the countermovement jump, line drill, and yo-yo intermittent recovery level-1 and fitness score) were considered. Players were grouped by the onset of specialization as related to biological maturation milestones (pre-puberty, mid-puberty, and late-puberty specialization). The within-season and developmental changes in physical fitness were fitted using multilevel modeling in a fully Bayesian framework. The fitness outcomes were similar between-player and within-player changes when grouped by specialization across a season. Fitness improvements across a season were apparent for female players, while male players maintained their performance levels. There was no variation in the patterns of physical fitness development between 11 and 17 years associated with the onset of specialization. Conditional on our data and models, the assumption that early sport specialization provides a physical fitness advantage for future athletic success does not hold.

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Revisiting the Relative Age Effect From a Multidisciplinary Perspective in Youth Basketball: A Bayesian Analysis

Cited by 9 publications

References 41 publications

Adherence to the Mediterranean diet, kinanthropometric characteristics and physical performance of young male handball players

Adherence to the Mediterranean diet, kinanthropometric characteristics and physical performance of young male handball players

Psychological Analysis of Athletes during Basketball Games from the Perspective of Deep Learning

Does early specialization provide an advantage in physical fitness development in youth basketball?

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