Introducao: O rugby em cadeira de rodas (RCR) e uma modalidade paraolimpica, praticada por atletas tetraplegicos ou que apresentem um quadro equivalente. Apresenta um sistema de classificacao funcional (CF), com sete classes que varia de 0,5 a 3,5 pontos. Objetivo: Correlacionar os valores do desempenho motor nos testes de campo com a classificacao funcional dos atletas de RCR e comparar o desempenho dos atletas com CF baixa (0,5 a 1,5) e alta (2,0 a 3,5). Metodos: Participaram do estudo nove atletas (lesao medular de C4 a T1), do sexo masculino, com idades entre 20 e 35 anos. Foram aplicados testes de resistencia em 12 minutos, corrida de 20 metros e o teste de agilidade. A analise estatistica foi realizada atraves do pacote estatistico R-plus® 2.11.0. Para avaliar a normalidade dos dados foi realizado o teste de Shapiro-Wilk. Foi realizada Matriz de Correlacao entre a CF com o desempenho nos testes motores e nivel neurologico dos atletas. Tambem foram feitas comparacoes entre os resultados obtidos dos atletas de pontuacao baixa com os de pontuacao alta, usando os testes “t” de student para amostras independentes nos dados normais e o teste Wilcoxon para os dados que nao apresentaram normalidade, considerando um valor de p ? 0,05. Resultados: Os sujeitos registraram media de 1446,9±472,3m no teste de resistencia 12 minutos; 15,69±8,71mL(kg/min)-1 para o VO2max; 8,1±2,24s no teste de velocidade e 26,40±7,51s no teste de agilidade. Os testes apresentaram correlacao de moderada a alta com a CF. Na comparacao entre grupos, os atletas com CF alta tiveram melhor performance nos testes de agilidade e velocidade. Conclusao: Sugere-se para futuros estudos, avaliar amostras mais numerosas a fim de afirmar os resultados encontrados, alem de adicionar aos testes quantificacoes das acoes tecnicas e taticas em quadra, correlacionando-as com a CF dos atletas.
We investigated the impact of visual impairment on balance control. We measured the center of pressure (COP) between the two feet and plantar surface pressures on each foot in 18 normal-sighted participants and compared their data with measures from 18 legally blind participants, either acquired or congenital. Pressures were measured in open- and closed-eye conditions using a baropodometric resistive plate. In the eyes-open condition, there were no differences between the sighted and legally blind groups in COP displacement. However, participants with visual loss had significantly increased pressures in two metatarsal regions (M1 and M2 zones) of the plantar surface in both viewing conditions (p < 0.05). The differences in pressure measures between the normally sighted and legally blind groups could be attributed mainly to the subgroup of subjects with acquired impairment. Our findings suggest that subjects with visual impairment present increased metatarsal pressures (i.e. forefoot), not yet associated to anterior displacement of COP or impaired balance control.
Abstract This systematic review aimed to synthesize the literature on burnout and coping in athletes with disabilities and identify the psychological and physical variables associated with burnout and coping in this population. The present study was conducted in accordance with the updated PRISMA 2020 systematic review guidelines. The Scopus, PubMed/Medline, PsycINFO, SciELO, Web of Science, and Google Scholar databases were searched. Eight articles were included in the study. Five of them investigated coping, and three investigated burnout. Their sample sizes ranged between 10 and 209 athletes with a total of 588 from the eight studies. Burnout was associated with socially prescribed perfectionism and sleep, and coping was associated with self-determined motivation, engagement, anxiety, depression, performance, and classification. This is the first systematic review of burnout and coping in athletes with disabilities that provides an overview of the studies conducted. Scientific research on the psychological constructs of coping and burnout in athletes with disabilities is in an incipient phase. The results highlight the key factors associated with burnout and coping in this population, which may inform targeted intervention strategies.
The wheelchair rugby (WR) is a paralympic Sport played by people with physical disabilities and its growth is related to university participation. This study described the WR development at university, through a case study at Physical Education College of Unicamp. The WR is related to learning, researching and extension; due the contact with the sport, conducting research; practical experience and approach to community. The university extension is a important opportunity to practical experience and approach to community of Physical Education students. Due the approaching to science, the work with WR is consistent, reaching good sports results.
O “Rugby” em Cadeira de Rodas (RCR) é uma modalidade paralímpica praticada por pessoas com deficiência física e a participação das universidades é importante para seu crescimento. Este estudo descreveu o desenvolvimento do RCR na extensão universitária, através do estudo de caso no projeto de extensão da Faculdade de Educação Física da UNICAMP. O RCR relaciona-se com o ensino, pesquisa e extensão; através do contato com a modalidade nas disciplinas; realização de estudos; oportunidade de prática e contato com a comunidade. A extensão universitária é um espaço importante para a vivência prática de alunos de Educação Física e contato com a comunidade. Através da aproximação da ciência com a prática, o RCR é trabalhado de forma consistente, alcançando bons resultados esportivos.
This systematic review aimed to investigate emerging methods used to quantify gait parameters in children with cerebral palsy (CP) in everyday environments. The StArt computational tool automatically screened the following databases: ACM, Engineering Village, IEEE, PubMed, Scopus and Web of Science from inception to June 2018. Studies reporting the use of wearable sensors to assess gait in daily settings in children with CP were included. Data regarding 1563 studies were extracted, but only three studies could be included on the basis of the inclusion/ exclusion criteria. These studies proposed wearable technologies based on the use of signals provided by triaxial accelerometers and force resistive pressure sensors. These are able to track levels of activity and detect falls, gait deviations and gait symmetry in children with CP in their daily environments. To date, only two types of sensors have been tested in this population and it remains to be clarified how wearable sensors, used to quantify activity level, might benefit children with CP.
The aim of this study is comparing the accuracies of machine learning algorithms to classify data concerning healthy subjects and patients with Parkinson's Disease (PD), toward different time window lengths and a number of features. Thirty-two healthy subjects and eighteen patients with PD took part on this study. The study obtained inertial recordings by using an accelerometer and a gyroscope assessing both hands of the subjects during hand resting state. We extracted time and temporal frequency domain features to feed seven machine learning algorithms: k-nearest-neighbors (kNN); logistic regression; support vector classifier (SVC); linear discriminant analysis; random forest; decision tree; and gaussian Naïve Bayes. The accuracy of the classifiers was compared using different numbers of extracted features (i.e., 272, 190, 136, 82, and 27) from different time window lengths (i.e., 1, 5, 10, and 15 s). The inertial recordings were characterized by oscillatory waveforms that, especially in patients with PD, peaked in a frequency range between 3 and 8 Hz. Outcomes showed that the most important features were the mean frequency, linear prediction coefficients, power ratio, power density skew, and kurtosis. We observed that accuracies calculated in the testing phase were higher than in the training phase. Comparing the testing accuracies, we found significant interactions among time window length and the type of classifier (p < 0.05). The study found significant effects on estimated accuracies, according to their type of algorithm, time window length, and their interaction. kNN presented the highest accuracy, while SVC showed the worst results. kNN feeding by features extracted from 1 and 5 s were the combination with more frequently highest accuracies. Classification using few features led to similar decision of the algorithms. Moreover, performance increased significantly according to the number of features used, reaching a plateau around 136. Finally, the results of this study suggested that kNN was the best algorithm to classify hand resting tremor in patients with PD.
The Timed-Up and Go (TUG) test is widely utilized by healthcare professionals for assessing fall risk and mobility due to its practicality. Currently, test results are based solely on execution time, but integrating technological devices into the test can provide additional information to enhance result accuracy. This study aimed to assess the reliability of smartphone-based instrumented TUG (iTUG) parameters. We conducted evaluations of intra- and inter-device reliabilities, hypothesizing that iTUG parameters would be replicable across all experiments. A total of 30 individuals participated in Experiment A to assess intra-device reliability, while Experiment B involved 15 individuals to evaluate inter-device reliability. The smartphone was securely attached to participants’ bodies at the lumbar spine level between the L3 and L5 vertebrae. In Experiment A, subjects performed the TUG test three times using the same device, with a 5 min interval between each trial. Experiment B required participants to perform three trials using different devices, with the same time interval between trials. Comparing stopwatch and smartphone measurements in Experiment A, no significant differences in test duration were found between the two devices. A perfect correlation and Bland–Altman analysis indicated good agreement between devices. Intra-device reliability analysis in Experiment A revealed significant reliability in nine out of eleven variables, with four variables showing excellent reliability and five showing moderate to high reliability. In Experiment B, inter-device reliability was observed among different smartphone devices, with nine out of eleven variables demonstrating significant reliability. Notable differences were found in angular velocity peak at the first and second turns between specific devices, emphasizing the importance of considering device variations in inertial measurements. Hence, smartphone inertial sensors present a valid, applicable, and feasible alternative for TUG assessment.
Introdução: Desde o início da Pandemia Covid-19 vários países adotaram o isolamento social (lockdown) como medida de contenção para diminuir a propagação do vírus e reduzir o risco de sobrecarga no sistema de saúde. A prática regular do exercício físico ao longo da pandemia poderia atenuar os prejuízos do isolamento e manter a saúde mental e bem-estar dos atletas. Objetivo: Avaliara Utilizamos um questionário online dividido em duas seções: avaliação da saúde mental e do nível de exercício físico. Resultados e Discussão: Pontuações mais baixas no questionário Short Form 36(SF-36)foram observadas nos domínios “vitalidade” com uma pontuação de 16, “limitação por aspectos emocionais” com pontuação de 55, “limitação por aspectos físicos” com pontuação de 62,5 seguido por “estado geral de saúde” com pontuação de 63.O questionário Physical Activity Scale for Individuals With Physical Disabilities (PASIPD) mostrou uma percepção baixa em relação ao nível de atividade física nas pessoas com deficiência. Conclusão: Os domínios de saúde geral com menor pontuações no lockdown foi “vitalidade” (16) e “aspectos emocionais” (55) e não foi observado associação forte entre os diferentes domínios da escala SF-36 e o nível de atividade física através da Escala PASIPD (p>0,005).