Exercise training improves quality of life in women with subclinical hypothyroidism: a randomized clinical trial

ABSTRACT Objective: The aim was to evaluate the quality of life (HRQoL) in women with subclinical hypothyroidism (sHT) after 16 weeks of endurance training. Subjects and methods: In the first phase, a cross-sectional study was conducted in which 22 women with sHT (median age: 41.5 (interquartile range: 175) years, body mass index: 26.2 (8.7) kg/m2, thyroid stimulating hormone > 4.94 mIU/L and free thyroxine between 0.8 and 1.3 ng/dL were compared to a group of 33 euthyroid women concerned to HRQoL. In the second phase, a randomized clinical trial was conducted where only women with sHT were randomly divided into two groups: sHT-Tr (n = 10) - participants that performed an exercise program - and sHT-Sed (n = 10) - controls. Exercise training consisted of 60 minutes of aerobic activities (bike and treadmill), three times a week, for 16 weeks. The HRQoL was assessed by the SF-36 questionnaire in the early and at the end of four months. Results: Women with sHT had lower scores on functional capacity domain in relation to the euthyroid ones (770 ± 23.0 vs. 88.8 ± 14.6; p = 0.020). The sHT-Tr group improved functional capacity, general health, emotional aspects, mental and physical component of HRQoL after training period, while the sHT-Sed group showed no significant changes. Conclusion: After 16 weeks of aerobic exercise training, there were remarkable improvements in HRQoL in women with sHT.

Análise das estatísticas relacionadas ao jogo que discriminam as equipes vencedoras das perdedoras no basquetebol profissional brasileiro / Analysis of game-related statistics which discriminate between winning and losing in Brazilian professional basketball

Resumo O objetivo deste estudo foi identificar quais estatísticas relacionadas ao jogo são capazes de discriminar as equipes vencedoras das perdedoras nos jogos do Novo Basquete Brasil, campeonato brasileiro profissional masculino, em função da fase do campeonato (temporada regular e "playoff") e das diferenças de placar (placares equilibrados e não equilibrados). A amostra consistiu nos 316 jogos disputados durante a temporada 2013/2014. As variáveis analisadas foram: arremessos de dois pontos convertidos e não convertidos, arremessos de três pontos convertidos e não convertidos, lances livres convertidos e não convertidos, rebotes defensivos e ofensivos, assistências, tocos, faltas pessoais, roubos de bola e erros. Para a divisão entre placares equilibrados e não equilibrados foi realizada a análise de "cluster" de k médias. Quando a diferença de pontuação do time vencedor pela do time perdedor ficou entre um e 15 pontos, o placar foi considerado equilibrado e quando a diferença foi de 16 a 47 pontos, o placar foi não equilibrado. A análise discriminante permitiu concluir que arremessos convertidos de três pontos e rebotes defensivos foram capazes de discriminar os vencedores nos jogos de temporada regular, seja com placar equilibrado ou não equilibrado, e nos jogos de "playoff" com o placar equilibrado. As assistências contribuíram para discriminar entre os jogos de temporada regular com placar não equilibrado, enquanto os lances livres fizeram o mesmo nos jogos de temporada regular que terminaram com placares equilibrados. Nenhuma estatística relacionada ao jogo conseguiu discriminar as equipes nos jogos de "playoff" com placares não equilibrados. Este estudo mostrou que diferentes estatísticas relacionadas ao jogo discriminam entre vencedores e perdedores, dependendo da fase do campeonato e as diferenças de placar.

The aim of this study was to identify which game-related statistics are capable of discriminating between winning and losing teams from Novo Basquete Brasil games, Brazilian men's professional basketball, according to championship phase (regular season or playoff) and scoring differences (balanced games or unbalanced games). The sample used corresponded to all 316 games from the 2013/2014 season. The game-related statistics analyzed were: 2 and 3 points fi eld-goals (both successful and unsuccessful), free-throws (both successful and unsuccessful), offensive and defensive rebounds, assists, blocks, personal fouls, steals and turnovers. To split between balanced and unbalanced games, a k-means cluster analysis was performed. When scoring difference fell between 1 and 15 points, the score was balanced and when the difference was from 16 to 47 points, the score was unbalanced. The discriminant analysis allowed to conclude that successful 3 points fi eld-goals and defensive rebounds discriminated winning teams in regular season games, whatever balanced or unbalanced, and in playoff balanced games. Assists were important to discriminate teams in regular season unbalanced games, while successful free-throws discriminated winners and losers in regular season balanced games. No game-related statistics were able to discriminate the teams in playoff unbalanced games. This study showed that different game-related statistics discriminate between winning and losing teams depending on the championship phase and the scoring differences.

Consumo de álcool por frequentadores de academia de ginástica / Alcohol consumption by gym goers

Objetivo Como não há na literatura informações sobre o perfil de consumo alcoólico entre desportistas, o objetivo deste trabalho foi avaliar o perfil de consumo alcoólico por frequentadores de academia de ginástica associando com a antropometria e a intensidade do treino. Métodos Foram convidados a participar do estudo indivíduos praticantes de musculação, por no mínimo seis meses, com idade entre 20 e 40 anos, de ambos os sexos. Foram realizadas medidas antropométricas e de composição corporal. Para avaliação do consumo alcoólico, utilizou-se o questionário AUDIT (The Alcohol Use Disorders Identification Test). A intensidade do treino foi identificada por meio de um questionário semiestruturado. Resultados Dos participantes, 74,1% (n = 35) disseram ter feito uso de álcool. Além disso, 19 voluntários (38,8%) apresentaram comportamento de risco para o consumo de álcool (AUDIT ≥ 8). Considerando o consumo alcoólico em binge, 32 voluntários (65,3%) consumiram seis ou mais doses de álcool em alguma ocasião no ano anterior, não havendo diferença entre os sexos. A adiposidade corporal estava acima dos valores recomendados entre os que relataram consumo em binge. Não houve associação entre a intensidade do treinamento físico e o consumo de álcool em binge, nem entre a intensidade do treinamento e o comportamento de risco para o consumo de álcool. Conclusão A maioria dos desportistas apresentou consumo de bebidas alcoólicas no padrão binge, não sendo associado à intensidade do treinamento. Este não condiz com os seus objetivos ao frequentar academias de ginástica. A adiposidade corporal estava acima dos valores recomendados. .

Objective As there is no information in the literature about alcohol consumption profile among sportsmen, the aim of this study was to evaluate the profile of alcohol consumption by gym goers associating with anthropometry and training intensity. Methods Were invited subjects bodybuilders for at least six months, aged between 20 and 40 years, of both sexes. Anthropometric measurements were taken and body composition. To assess alcohol consumption, we used the AUDIT questionnaire. The intensity of training was identified through a semi-structured questionnaire. Results   74.1% (n = 35) of participants reported having used alcohol. In addition, 19 volunteers (38.8%) had risk behavior for alcohol consumption (AUDIT ≥ 8). Considering the binge drinking, 32 volunteers (65.3%) consumed six or more drinks of alcohol at some time in the previous year, with no difference between sexes. Body adiposity was above the recommended values among those who reported binge drinking. There was no association between the intensity of physical training and binge drinking, nor between training intensity and risk behavior for alcohol consumption. Conclusion Most sportsmen showed drinking binge in not being associated with the intensity of training. This consumption is not consistent with your goals by attending gyms. Body adiposity was above the recommended values. .