Positive association of lean mass and negative association of protein intake on bone mass and bone geometry of adolescent soccer players

Bergamo, Raiany Rosa; Páscoa, Mauro Alexandre; Hespanhol, Jefferson Eduardo; Moraes, Anderson Marques de; Guerra, Gil

doi:10.1016/j.nut.2022.111857

Nutrition

2023

DOI: 10.1016/j.nut.2022.111857

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Positive association of lean mass and negative association of protein intake on bone mass and bone geometry of adolescent soccer players

Raiany Rosa Bergamo

Mauro Alexandre Páscoa

Jefferson Eduardo Hespanhol³

et al.

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2023

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Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution

Lee,

Song,

Kim

et al. 2023

Front. Psychol.

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IntroductionThis paper aims to identify and compare changes in trends and research interests in soccer articles from before and during the COVID-19 pandemic.MethodsWe compared research interests and trends in soccer-related journal articles published before COVID-19 (2018–2020) and during the COVID-19 pandemic (2021–2022) using Bidirectional Encoder Representations from Transformers (BERT) topic modeling.ResultsIn both periods, we categorized the social sciences into psychology, sociology, business, and technology, with some interdisciplinary research topics identified, and we identified changes during the COVID-19 pandemic period, including a new approach to home advantage. Furthermore, Sports science and sports medicine had a vast array of subject areas and topics, but some similar themes emerged in both periods and found changes before and during COVID-19. These changes can be broadly categorized into (a) Social Sciences and Technology; (b) Performance training approaches; (c) injury part of body. With training topics being more prominent than match performance during the pandemic; and changes within injuries, with the lower limbs becoming more prominent than the head during the pandemic.ConclusionNow that the pandemic has ended, soccer environments and routines have returned to pre-pandemic levels, but the environment that have changed during the pandemic provide an opportunity for researchers and practitioners in the field of soccer to detect post-pandemic changes and identify trends and future directions for research.

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Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution

Lee,

Song,

Kim

et al. 2023

Front. Psychol.

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Positive association of lean mass and negative association of protein intake on bone mass and bone geometry of adolescent soccer players

Cited by 1 publication

References 41 publications

Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution

Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution

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