3 research outputs found

    Prevalência de síndrome pré-menstrual em atletas Prevalence of premenstrual syndrome in athletes

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    A síndrome pré-menstrual (SPM) é um conjunto de sintomas emocionais e físicos que afeta negativamente as atividades diárias das mulheres durante o período pré-menstrual. Embora seja um tema bastante estudado na população em geral, existe uma lacuna na literatura a respeito da presença de SPM em atletas. Dessa forma, o objetivo do estudo foi analisar a prevalência de SPM em atletas. Foi desenvolvido um estudo do tipo inquérito, com 57 atletas, com idade entre 18 e 47 anos, de 11 modalidades esportivas. Para identificar a presença de SPM, utilizou-se uma ficha autoaplicável baseada nos critérios do American College of Obstetricians and Gynecologists (ACOG, 2000); a confirmação diagnóstica foi feita através do preenchimento de um diário de sintomas durante dois ciclos menstruais consecutivos (baseado no ACOG, 2000). Para análise dos dados utilizou-se teste de Shapiro-Wilk e teste exato de Fisher, adotando P < 0,05. A prevalência de SPM estimada de forma retrospectiva foi de 68%, enquanto a avaliada pelo acompanhamento com os diários foi de 48%. Mastalgia, explosão de raiva, ansiedade e irritabilidade foram os sintomas mais citados. Foram observadas associações significativas entre SPM e volume de treinamento semanal (P = 0,041), número de sintomas totais (P < 0,0001), número de sintomas físicos (P = 0,004), mastalgia (P = 0,028) e desconforto abdominal (P = 0,015). A prevalência de SPM em atletas foi considerada alta e a análise retrospectiva a superestimou em relação ao acompanhamento diário. A alta prevalência, bem como a associação entre SPM e maior volume de treinamento semanal, instiga que o treinamento esportivo pode ter algum impacto na prevalência de SPM em atletas.<br>The premenstrual syndrome (PMS) is a set of emotional and physical symptoms that adversely affects the daily activities of women during the pre-menstrual period. Despite being a theme quite discussed in the general population, there is still a gap in the literature concerning the presence of PMS in athletes. Thus, the objective of the study was to analyze the prevalence of PMS in athletes. An inquiry study with 57 athletes age range of 18 and 47 years from 11 sport modalities was developed. A self-applicable sheet based on the American College of Obstetricians and Gynecologists criteria (ACOG, 2000) was used to identify the presence of PMS ; the diagnostic confirmation was performed through the answer of a symptoms diary during two consecutive menstrual cycles (based on ACOG, 2000). Shapiro Wilks test and Fisher's exact test, adopting a P<0.05 were used for the data analysis. The prevalence of PMS retrospectively estimated was of 68% while the estimated prevalence through the follow-up with the diaries was of 48%. Breast soreness, anger burst, anxiety and irritability were the mostly frequent mentioned symptoms. Significant associations were observed between PMS and weekly training volume (P = 0.041), total amount of symptoms (P < 0,0001), amount of physical symptoms (P = 0,004), breast soreness (P = 0,028) and abdominal discomfort (P = 0,015). The prevalence of PMS in athletes was considered high and the retrospective analysis overestimated the prevalence of PMS in relation to the daily follow-up. The high prevalence as well as the association between PMS and the higher volume of weekly training suggest that the sports training may have some impact in the prevalence of PMS in athletes

    Genomic Designing for Climate-Smart Tomato

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    Tomato is the first vegetable consumed in the world. It is grown in very different conditions and areas, mainly in field for processing tomatoes while fresh-market tomatoes are often produced in greenhouses. Tomato faces many environmental stresses, both biotic and abiotic. Today many new genomic resources are available allowing an acceleration of the genetic progress. In this chapter, we will first present the main challenges to breed climate-smart tomatoes. The breeding objectives relative to productivity, fruit quality, and adaptation to environmental stresses will be presented with a special focus on how climate change is impacting these objectives. In the second part, the genetic and genomic resources available will be presented. Then, traditional and molecular breeding techniques will be discussed. A special focus will then be presented on ecophysiological modeling, which could constitute an important strategy to define new ideotypes adapted to breeding objectives. Finally, we will illustrate how new biotechnological tools are implemented and could be used to breed climate-smart tomatoes
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