Antidoping program: an important factor in the promotion and protection of the integrity of sport and athlete's health

Mazzeo, Filomena; Monda, Vincenzo; Santamaria, Stefania; Nigro, Ersilia; Valenzano, Anna; Villano, Ines; Cibelli, Giuseppe; Messina, Antonietta; Messina, Giovanni

doi:10.23736/s0022-4707.17.07722-2

Cited by 9 publications

(4 citation statements)

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“…e local features of the image can be obtained from the feature map [15]. e same parameters of convolutional neural network models are shared [16], such as weight matrices and bias terms. Figure 5 is a schematic diagram of weight sharing in a convolutional neural network.…”

Section: Convolutional Neural Networkmentioning

confidence: 99%

A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input

Gong

2022

Computational Intelligence and Neuroscience

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The health status of elite tennis players and the results of tennis matches are positively proportional under normal circumstances. The physical and psychological functions of tennis players directly affect the athletic ability of tennis players. With the improvement of people’s living standards, people’s attention to tennis has also increased. Tennis has received increasing attention in China, and the training of tennis players has become increasingly necessary. However, China is still using the traditional means of obtaining athletes’ health information to evaluate athletes’ health information. This has led to imperfect research into tennis players’ health information and professional input systems. This makes the understanding of the health information of athletes incomplete and profound, and it affects the athletic ability of athletes. In this paper, deep learning and a two-factor model are added to tennis players’ health information and professional input, and the feasibility of a deep learning system to comprehensively improve health information input is explored. The experimental results show that the application of the convolutional neural network method in the system improves the response speed to the physical fitness state of tennis players by 5%. This adds technical support for timely understanding of tennis players’ physical health information and prevents players from making mistakes on the court due to physical reasons.

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Section: Convolutional Neural Networkmentioning

confidence: 99%

A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input

Gong

2022

Computational Intelligence and Neuroscience

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“…To enable training of police officers during this period, STAD developed a digital half-day training on the 100% PHT method. As the police are responsible for ensuring that people comply with doping laws, relevant training is vital ( 30 ). Previous research has confirmed that a combination of education, collaboration, and supervision/control (i.e., multi-component intervention) is necessary to reduce availability and counteract substance use ( 25 , 31 ).…”

Section: Introductionmentioning

confidence: 99%

Facilitators and barriers in preventing doping among recreational athletes: A qualitative interview study among police officers

Kvillemo

Strandberg²,

Elgán³

et al. 2022

Front. Public Health

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BackgroundDoping is a societal problem associated with health problems, violence, and other crimes, especially when combined with alcohol and drugs. Elite, as well as recreational athletes who exercise in gyms may use doping to enhance their performance and/or improve their appearance. According to Swedish law, manufacturing, selling, supplying, possessing, and using anabolic androgenic steroids and growth hormones is forbidden. Exceptions apply if these substances are used for medical purposes and prescribed by doctors. As doping is illegal, the police authority is vital in counteracting doping.AimWe aimed to identify facilitators and barriers to effective doping prevention at gyms by examining police officers' views on doping as a societal problem, their experiences of doping prevention efforts, and their perceptions on what enables or hinders doping prevention.MethodsInterviews with police officers (n = 15) were conducted from December 2021 to May 2022. The interviews were recorded and transcribed verbatim. A targeted content analysis of the material was performed.ResultsFacilitators for effective doping prevention involving the police included the recognition of doping as a societal problem; mobilization of key actors; motivated police management and officers; adequate resource allocation; collaboration between the police, gyms, and other relevant authorities; and skills development for police and other professions. Barriers to effective doping prevention included a lack of knowledge about doping, time-consuming processes around the detection and collection of evidence in doping offenses, and competing tasks for police officers.ConclusionDoping prevention should become more efficient by taking advantage of existing facilitators and removing remaining barriers. This study could guide recommendations linked to the police organization and the surrounding society regarding doping prevention.

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“…No entanto, as demais substâncias dopantes também causam prejuízos orgânicos, uma vez que o malefício à saúde é uma das três determinantes para que uma substância ou método seja incluído na Lista Proibida. Desta forma, pode-se afirmar que a mesma educação que previne a dopagem é a que preserva e protege a saúde do atleta de substâncias proibidas, devendo ser incentivada e propagada (Mazzeo et al, 2018b). Uma vez que compete ao gestor esportivo bem conduzir o esporte pelo qual é responsável, dissociar os atletas do esporte parece ser impossível, logo, deve este mesmo gestor zelar pela saúde, longevidade e higidez dos atletas para garantir o sucesso do esporte.…”

Section: Discussionunclassified

Utilização de mídias eletrônicas pelas confederações desportivas brasileiras na educação antidopagem

Rodrigues

Reis²,

Martinez

2023

Retos

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A informação e a educação antidopagem (EAD) são direitos dos atletas e a proximidade destes com as confederações desportivas brasileiras (CB) pode potencializar o combate ao doping. Objetivos: analisar as informações sobre EAD promovidas pelas CB em seus websites e mídias sociais (WMS) e verificar se há relação entre estes dados, a quantidade de pessoal sancionado e a possibilidade de medalhas nos últimos Jogos Olímpicos e Paralímpicos de verão e inverno (JOP) (Tokyo, 2020 e Beijing, 2022). Foram realizadas buscas nos WMS das CB sobre antidopagem nos últimos 180 dias; nos websites da WADA, da Autoridade Brasileira de Controle de Dopagem e das Federações Internacionais para quantificar os atletas e pessoal de apoio sancionado; além do levantamento dos resultados dos últimos JOP. Resultados: as CB realizam poucas ações de EAD em seus WMS, das 41 entidades analisadas, 34 (82.9%) não possuíam o Código Brasileiro Antidopagem para acesso em seus sítios eletrônicos; e 21 (51.2%) não realizaram nenhuma postagem sobre o assunto durante os seis meses de monitoramento. Não ficou evidenciada a correlação entre a EAD disponibilizada e a quantidade de pessoal sancionado, ou a possibilidade de medalha. No Brasil, a EAD necessita realizar avanços, devendo as CB realizar mais ações nesta área para os atletas. Palavras-chave: Dopagem; Ambiente Virtual; Atleta; Esporte

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Antidoping program: an important factor in the promotion and protection of the integrity of sport and athlete's health

Cited by 9 publications

References 0 publications

A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input

A Continuous Deep Learning System Study of Tennis Player Health Information and Professional Input

Facilitators and barriers in preventing doping among recreational athletes: A qualitative interview study among police officers

Utilização de mídias eletrônicas pelas confederações desportivas brasileiras na educação antidopagem

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