Introduction: Low back pain is one of the most common complaints among cyclists. The disharmony of the cyclist-bike combination may be a predisposing factor. Bike Fit is a technique that aims to adjust the bike to the individual characteristics of the cyclist. Objectives: To investigate the relationship between the cyclist’s position on the bicycle and the occurrence of complaints of low back pain. Methods: Data obtained during Bike Fit from 62 amateur cyclists were used in the study. Cyclists were filmed during the act of pedaling on a stationary roller and image analysis was performed using Kinovea® software. Data related to complaints of low back pain and positioning on the bicycle were used in the Chi-Square test and binary logistic regression. Results: The mean age was 38.06 ± 8.82 years, 87.7% of the sample was composed of men and low back pain was found in 40.3% (25/62) of the participants. Univariate analysis showed a positive correlation between low back pain and the following variables: ankle dorsiflexion angle (X2=6.947, p=0.014) and upper limb reach (X2=5.247; p=0.032). Binary logistic regression showed a positive association between reaching with the upper limbs and low back pain (r=2.728; p=0.002) and a negative association between knee advancement and low back pain (r= -2.281; p=0.007). Conclusion: Cyclists with low back pain present changes in their position on the bicycle, which reinforces the importance of evaluating the cyclist/bike combination. However, it is not possible to state whether the positional changes observed in the study sample are causes or consequences of low back pain. Level of evidence: Level III; Cross-sectional observational study.
RESUMO Introdução: A dor lombar é uma das queixas mais comuns nos praticantes de ciclismo. Pode ter como fator predisponente a desarmonia do conjunto ciclista-bicicleta. O Bike Fit é uma técnica que visa ajustar a bicicleta às características individuais do ciclista. Objetivos: Investigar a relação entre o posicionamento do ciclista na bicicleta e a ocorrência de queixas de dor lombar. Métodos: Os dados obtidos durante o Bike Fit de 62 ciclistas amadores foram utilizados no estudo. Os ciclistas foram filmados durante a pedalada em um rolo estacionário e a análise das imagens foi realizada pelo software Kinovea®. Os dados relacionados com a queixa de dor lombar e ao posicionamento na bicicleta foram utilizados no teste do Qui-quadrado e de regressão logística binária. Resultados: A média de idade foi de 38,06 ± 8,82 anos, 87,7% da amostra foi composta por homens e a dor lombar foi constatada em 40,3% (25/62) dos participantes. A análise univariada mostrou correlação positiva entre a dor lombar e as seguintes variáveis: ângulo de dorsiflexão do tornozelo (X2 = 6,947, p = 0,014) e alcance dos membros superiores (X2 = 5,247; p = 0,032). A regressão logística binária mostrou uma associação positiva entre alcance dos membros superiores e dor lombar (r = 2,728; p = 0,002) e associação negativa para avanço dos joelhos e dor lombar (r = -2,281; p = 0,007). Conclusão: Os ciclistas com dor lombar apresentam alterações de posicionamento na bicicleta, o que reforça a importância da avaliação do conjunto ciclista-bicicleta. Entretanto, não é possível afirmar se as alterações de posicionamento observadas na amostra estudada são causas ou consequências da dor lombar. Nível de evidência: Nível III; Estudo observacional transversal.
Introduction: Sleep disorders have a high prevalence in the general population being currently considered as a major public health problem. In the last four decades, scientific interest in sleep patterns has steadily grown. Such studies may contribute to a better understanding of the clinical course to explore potential therapeutic interventions. This study will aim to verify the prevalence of sleep disorders in subjects assisted at the Basic Health Units (UBS's) and Family Health Program (PSF's) in Divinópolis, MG, Brazil. Methods: This research will be an observational, cross-sectional study carried out by professors and students from the University of State of Minas Gerais -UEMG, Divinópolis Unit, with subjects recruited from the UBS's and PSF's in Divinópolis-MG, between March 2016 and December 2017. These subjects will be assessed clinically and respond to the Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Berlin Questionnaire, SF-36 Quality of Life Questionnaire, evaluating the quality of sleep, presence of sleep disorders, excessive daytime sleepiness, risk for obstructive sleep apnea and quality of life. Discussion: Recently, sleep disorders were considered a global public health problem, affecting the quality of life of the population and influencing morbidity and mortality. The results of epidemiological studies are not only applicable in clinical practice but also in the planning and implementation of public policies and programs aimed at controlling sleep disorders and their impact on individuals and societies.
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