RESUMO O presente estudo teve o objetivo de comparar o desempenho anaeróbico conforme as configurações genéticas RR, RX e XX da proteína ACNT3 em crianças. Utilizou-se uma metodologia descritiva e comparativa com uma amostra de 111 rapazes praticantes de futebol, com idades entre os 7 e 12 anos. A saliva serviu para extração do DNA e identificação do polimorfismo da ACTN3. Posteriormente realizou-se o teste de corrida de 40 metros para a medida da Potência muscular e o Índice de Fadiga. Com isso, foram estabelecidos os subgrupos: Grupo RR (n= 42); Grupo RX (n= 58); Grupo XX (n= 11). A distribuição normal dos dados foi identificada com o teste de Kolmogorov-Smirnov, sendo a comparação realizada por meio da ANOVA one-way com post hoc de Scheffé. Os valores dos tempos das corridas entre os três grupos foram semelhantes, não ocorrendo diferenças significativas. A maior média de Potência foi encontrada no grupo de configuração genética RR; contudo, não foram verificadas diferenças significativas na Potência muscular e no Índice de Fadiga. Assim, como não foram observadas diferenças significativas na capacidade anaeróbica entre os grupos, conclui-se que na infância não é possível identificar o desempenho para o alto rendimento, utilizando-se testes físicos.

Introduction: No research has investigated predictive equations for application in blood flow restriction (BFR) training using a cuff with a circumference of 18 cm for the lower limbs, and including age and sex as predictor variables. Objectives: To develop an equation to predict cuff pressure levels for use in BFR training for the lower limbs. Methods: A total of 51 adults (age 23.23 ± 5.24 years) of both sexes (males, n= 32; females, n= 19) underwent a series of tests and anthropometric (body mass, height, body mass index -BMI, and thigh circumference -TC) and hemodynamic (brachial systolic -SBP -and diastolic -DBP -blood pressure) measurements. The arterial occlusion pressure (AOP) of the lower limbs was measured using a Doppler probe. Results: The predictive equation was developed based on a hierarchical linear regression model consisting of six blocks, corresponding to TC (β = 0.380; p = 0.005), SBP (β = 0.091; p = 0.482), age (β = 0.320; p = 0.015), and sex (β = -0.207; p = 0.105), which explained 39.7% of the variation in arterial occlusion pressure. DBP and BMI were not associated with AOP. As a result, the predictive equation is as follows: AOP (mmHg) = 65.290 + 1.110 (TC in cm) + 0.178 (SBP in mmHg) + 1.153 (age in years) -7.984 (sex, 1 -male and 2 -female), reporting values of r = 0.630, r 2 = 0.397 and SEE = 15,289. Conclusion: Cuff pressure for BFR training of the lower limbs may be selected based on TC, SBP, age and sex, and thigh circumference is considered the main predictor. Level of Evidence III, Non-consecutive studies, or studies without consistently applied reference standard.

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Capítulo 16: Práticas educativas na atenção básica à saúde da mulher: Relato de experiência de um projeto de extensão ..

The objective of the study was to verify the practice of physical exercise as a protective factor for mental health during the COVID-19 pandemic. A sample of N=137 individuals, age (31.50 ± 13.08 years), n=45 men and n=92 women, people, answered an online questionnaire built on Google Forms, divided into five domains: 1-Data from Identification: information regarding age, sex, marital status, level of education, state of residence, whether the participant was socially isolated during the period of filling out the questionnaire; 2-Analysis of lifestyle aspects before and during the covid-19 pandemic: physical exercise (frequency, intensity, type, time); 3-Beck Anxiety and Depression Scales. Analyzes were performed using SPSS version 25. Categorical variables are described as absolute numbers and percentages, and continuous variables as mean ± standard deviation (SD) and binary logistic regression. In logistic regression analysis (expressed as odds ratio; 95% confidence interval). Sedentary individuals were more likely to have moderate to severe symptoms of anxiety (OR 2.85CI95%:1.38-5.88) and depression (OR 2.92CI95%1.41-6.04). It is concluded that the practice of physical exercise can be a protective factor for mental health in times of the COVID-19 pandemic.