69 resultados para Indices morfométricos


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Chronic obstructive pulmonary disease (COPD) is associated with autonomic dysfunctions that can be evaluated through heart rate variability (HRV). Resistance training promotes improvement in autonomic modulation; however, studies that evaluate this scenario using geometric indices, which include nonlinear evaluation, thus providing more accurate information for physiological interpretation of HRV, are unknown. This study aimed to investigate the influence of resistance training on autonomic modulation, using geometric indices of HRV, and peripheral muscle strength in individuals with COPD. Fourteen volunteers with COPD were submitted to resistance training consisting of 24 sessions lasting 60 min each, with a frequency of three times a week. The intensity was determined as 60% of one maximum repetition and was progressively increased until 80% for the upper and lower limbs. The HRV and dynamometry were performed at two moments, the beginning and the end of the experimental protocol. Significant increases were observed in the RRtri (4·81 ± 1·60 versus 6·55 ± 2·69, P = 0·033), TINN (65·36 ± 35·49 versus 101·07 ± 63·34, P = 0·028), SD1 (7·48 ± 3·17 versus 11·04 ± 6·45, P = 0·038) and SD2 (22·30 ± 8·56 versus 32·92 ± 18·78, P = 0·022) indices after the resistance training. Visual analysis of the Poincare plot demonstrated greater dispersion beat-to-beat and in the long-term interval between consecutive heart beats. Regarding muscle strength, there was a significant increase in the shoulder abduction and knee flexion. In conclusion, geometric indices of HRV can predict improvement in autonomic modulation after resistance training in individuals with COPD; improvement in peripheral muscle strength in patients with COPD was also observed.

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Agronomia (Produção Vegetal) - FCAV

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The morphometric study in watersheds is a key part to managing watersheds, because from the morphometric indices can determine the risks and potential of each watershed and assess environmental impacts on them generated mainly by human activities. This study aimed to characterize the watershed of the river Verissimo, located in the municipality of Verissimo - MG, analyze morphometric indices and propose how best to use the soil to minimize erosion impacts to resources hídricos.Foi used digital charts 1:100,000 scale and AutoCAD software for the quantification of vector data. The watershed has an area of 146.055 km2 , 55.902 km perimeter. According to the morphometric indices is considered 5th order, highly branched, slightly elongated format of little risk to floods occur, its main channel corresponds to 28.541 kilometers and has undulated, with an average slope of 8.59%. Through the results of morphometric indices and roughness coefficient, shows the potential of watershed land use on pastures for livestock, and soil conservation practices and water to minimize the impacts of erosion and contamination of water resources.

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The objective of this study was to evaluate geoprocessing to morphometrically characterize the Ribeirão Descalvado micro watershed – Botucatu, SP by the Geographic Information System (GIS) – Selva for preservation, rationalization of its use and environmental restoration. The micro watershed is 2,228.61 ha between the geographic coordinates: 22° 50' 05" to 22° 54' 26" latitude S and 48° 22' 29" to 48° 26' 36" longitude W Gr. The cartographic basis was the planialtimetric chart of Botucatu (SP), 1: 50000 scale (IBGE, 1969), used for extraction of level, hydrography and topography curves to determine morphometric indices. The results showed that low values of drainage density associated with the presence of permeable rocks facilitates ground water infiltration which decreases surface runoff, erosion risks and environmental degradation. The low value of the shape factor supported by the circularity index shows that the micro watershed is more elongated and at lower risk of more pronounced floods. The roughness coefficient environmental parameter classified the micro watershed for forest and reforestation.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)