“…In the current study, we examine the prevalence of mental health problems and suicidal ideation and its risk factors in Japan Rugby Top League players. We analyze anonymous web-based self-reported data from 251 currently competing Japan Rugby Top League male players. …”
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“…This study aims to describe the association of the intention to seek help with mental health knowledge and stigma and the severity of depressive symptoms in Japan Rugby Top League players. METHODS: As a target population, we studied 233 Japan Rugby Top League male players (25–29 years = 123 [52.8%]), who were born in Japan, using a cross-sectional design. …”
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“…We report the events of an Italian top league soccer club that took place in 1 year (from March 2020 to February 2021) at the time of coronavirus disease 2019 (COVID-19) pandemic. …”
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“…Objectives: The primary objective is to compare the prevalence of mental health problems, including psychological distress, anxiety and depressive symptoms in Japan Rugby Top League players in the new life with COVID-19 with those evaluated before COVID-19. …”
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“…This web survey included athletes in top leagues of soccer, ice hockey and handball in Sweden (N = 327, 62% men). …”
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“…[Results] Players in the top league did not differ in height and weight but were older and had a better understanding of caloric intake. …”
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“…Performance of 24 ice-hockey players competing in the top league in the 2012/2013 season was analysed to this end. …”
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“…The research group consisted of players from the Czech Republic’s top league (n = 12, age 28.0 ± 4.3 years, body height 196.6 ± 5.6 cm, body mass 89.7 ± 6.7 kg) divided into two groups according to the individual type of approach in the attack. …”
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“…This work regards the network of the flow of transfer fees between European top league clubs from eight countries between 1992 and 2020 to analyse the network of each year’s transfer market. …”
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“…The study included 347 free kicks and penalties awarded during all 15 home field matches for one team in the Norwegian top league. Movement and position were measured by a radio-based positioning system, and two external experts analysed the video clips. …”
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“…Additionally, the rank of the school ICT readiness factor means indicated that Singapore, Sweden, B-S-J-Z (regions of China), United Arab Emirates and United States were among the top league, while countries like Indonesia, Poland, Ireland in between, and Japan, Mexico, Colombia, Argentina and Brazil ranked comparatively the lowest. …”
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“…METHODS: Thirteen soccer players form Pogo Szczecin S.A., a top league soccer club, (median age 21, range 18– 31, years old) performed progressive efficiency tests on a mechanical treadmill until exhaustion at the start (period 1) and the end (period 2) of a competition round. …”
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“…In the context of the present study, we contact every single football and soccer club belonging to the top league in Italy—one of the world’s most successful football nations—and obtain responses from close to half of all clubs. …”
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“…In this study, we apply a recently proposed supervised sequential pattern mining algorithm called safe pattern pruning (SPP) to 490 labelled event sequences representing passages of play from one rugby team’s matches in the 2018 Japan Top League season. We obtain patterns that are the most discriminative between scoring and non-scoring outcomes from both the team’s and opposition teams’ perspectives using SPP, and compare these with the most frequent patterns obtained with well-known unsupervised sequential pattern mining algorithms when applied to subsets of the original dataset, split on the label. …”
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“…The results of the study show that the same factors affecting the early end of a career, also had an impact on continuing the career in the Norwegian top league, beyond the average age. A low level of internal and external motivation, poor financial circumstances, high stress load, long injury breaks, lack of playing time and other priorities, are all factors leading elite players to end their football careers at a young age. …”
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“…Female players in the 2nd and 3rd highest national leagues showed more gradual onset injuries (p<0.001) and fewer illnesses than those in the top league (p<0.05). At the same time, there were no league-specific differences in sudden onset injuries. …”
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“…The empirical analysis is based on a sample of 25 European top leagues with 823 played matches in the 2017 and 2016/17 seasons. …”
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“…A total of 1286 matches–played in the top leagues of Spain, England, Germany, Italy, Russia, Turkey, Austria and the Czech Republic–were analyzed for results, fouls, bookings and reasons for bookings and contrasted between respective matchdays of season 2018/19 (regular attendance) and season 2019/20 (ghost games). …”
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