Objetivo: Verificar quais aspectos influenciam a qualidade de vida do indivíduo com lesão medular realizando um levantamento do estado da arte. Método: Foi realizada uma revisão da literatura composta por artigos científicos publicados nos anos de 2012 a 2017 indexados nas seguintes bases de dados: Pubmed/Medline, Science Direct e Scielo. A busca dos artigos foi realizada em idioma português, inglês e espanhol. Resultados e discussão: Dos 252 artigos encontrados, 12 atenderam os critérios de inclusão. Os artigos selecionados foram analisados segundo autor (ano), tipo de estudo, local, instrumento de mensuração, periódico científico, objetivo do estudo, variável de desfecho, amostra, principais achados. Foram encontradas alterações negativas nos domínios: físico, psicológico, social, ambiental incluindo, atividade sexual e dor, enquanto, a atividade física, o estado civil e atividade ocupacional contribuiu positivamente sobre a qualidade de vida de portadores com lesão medular, inserindo, nesse contexto positivo, a colostomia. Os portadores com lesão medular classificam a qualidade de vida de forma moderada. O instrumento mais utilizado nos estudos para avaliação da qualidade vida dessa população foi o Short Form Health Survey (SF-36), acompanhado pelo World Health Organization Quality of Life – Bref (WHOQOL-Bref). Considerações finais: Vários aspectos da qualidade de vida não são considerados satisfatórios para os portadores de lesão medular. Diversos são os domínios que demonstram essa insatisfação (social, ambiental, psicológico, físico). Mudanças nas políticas públicas de saúde são de grande importância para melhora da qualidade de vida e inclusão social desses indivíduos.

This study aimed to investigate the effects of acute capsaicin analog (Capsiate - CAP) supplementation on maximal voluntary isometric contraction (MVIC) performance in healthy young men. Thirteen subjects (25.2±3.2 yrs) participated in the present study. In two different days separated by one week, the subjects ingested capsiate (12 mg) or placebo (starch: 12 mg) 45 minutes before a MVIC test. The MVIC test consisted of five 10-second knee extension maximal isometric contractions with 45 seconds of recovery between efforts. The peak force, mean force, minimum force, fatigue index, and area under the curve of each contraction were calculated. Main condition effect was found, with higher values of peak force (+4.83%, F=6.867, p=0.02), fatigue index (+8.96%, F=5.228, p=0.041), and area under the curve (+4.19%, F=4.774, p=0.04) for CAP compared to placebo, however, no interaction effect was found for any variable (F=0.090 to 1.356, p≥0.276). In summary, healthy young men produced higher maximal isometric force and delayed fatigue in the CAP condition compared to placebo condition (condition effect) but without significant difference between each effort.

The purpose of this present study was to develop and validate a prediction equation for body composition assessment using anthropometric measures of elderly women. This is cross-sectional correlational study with 243 older women ± 64.5 years old and body mass index (BMI) ± 28.70 kg/m². For the development of the equation it was utilized the method of hold-out sample validation. The participants were randomly divided into equation development group (96 elderly women) and a group for validation (147 elderly women). Total body mass, height, waist and hip circumferences, ratio waist-hip ratio and BMI were measured. The whole-body dual-energy X-ray absorptiometry (DXA) assessed body composition (percentage of body fat, fat mass, and fat-free mass). The equations were developed using multiple linear regression, with validation by the stepwise method; the comparison of the equations was analyzed by the paired Student's t test and the analysis of residual scores by the method of Blant and Altman. The New Equation presents a strong correlation (R = 0.83) and (R² = 0.69), and a standard error of estimation equals to 3.21% for percentage body fat prediction. The mean difference between the estimations of percentage body fat from DXA and the New Equation was 0.11% (t(0,180); P = 0.850). Therefore, the New Equation had an accuracy of 93.5% and a total error of 1.8%. The body fat estimation in older women using this New Equation based on BMI and age is valid and accurate.

The aim of this study was to analyze the association between body composition and performance in the karate specific aerobic test (KSAT). This is a study carried out with thirteen athletes (6 females) with a mean age of 20.7 ± 4.2 years, affiliated to the Pernambuco Federation of Karate Associations, were developing this training routine during the 2018 season. Body mass and height were measured. To measure body composition, the body densitometry method was used by the x-ray double-ray absorptiometry (DEXA) technique. Karate Specific Aerobic Test was used to verify aerobic performance. Association analyzes were performed between body composition variables and KSAT performance using Pearson's correlation test and linear regression. All analyzes adopted a significance of p <0.05. KSAT performance was negatively correlated with total fat mass (r = -0.797; p = 0.001) and fat percentage (r = -0.757; p = 0.003). The linear regression model with the highest explanatory power included total fat and KSAT (adjusted R² = 0.732; p <0.001) exhibited a negative association with total fat (? = -0.21; p <0.001), and the model that included % body fat and KSAT (adjusted R² = 0.708; p = 0.003) were negatively associated with% body fat (? = -22.937; p = 0.001), both adjusted for gender and age. There is a negative association between total fat mass, body fat percentage and karate specific aerobic test performance.

Objectives: To compare the effects of self-selected and predetermined intensity on sleep quality and duration, daytime sleepiness, and sleep efficiency of adolescents with obesity after 12 weeks of aerobic training. Material and Methods: Thirty-seven adolescents (12 girls), 13-18 years old, with obesity (BMI = 95th) were randomized into a predetermined intensity group (PIG), exercise intensity around 60-70% of heart rate reserve; or self-selected intensity group (SIG), the adolescents chose the speed/intensity at the beginning of each session and were able to change it every 5 minutes. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) were used to assess sleep outcomes. Results: No differences were observed for PSQI [0.00 ± 2.00 vs 1. 38 ± 2.7; p=0.195; d=0.60 (moderate effect)], sleep duration [-0.95 ± 1.2 vs -0.35 ± 1.6; p=0.358; d=0.41 (small effect)], ESS [(2.10 ± 3.9 vs 1.15 ± 4.5; p=0.195; d=0.23 (small effect)], and sleep efficiency [(81.5 ± 24.0 vs 79.4 ± 17.0; p=0.8.14; d=0.10 (trivial effect)] for the PIG and SIG groups, respectively. Conclusion: Aerobic training at a self-selected or predetermined intensity does not modulate sleep quality, sleep duration and efficiency, and daytime sleepiness, independent of intensity.