Self-reported moderate-to-vigorous leisure time physical activity predicts less pain and disability over 12 months in chronic and persistent low back pain

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Health related quality of life is differently associated with leisure-time physical activity intensities according to gender: a cross-sectional approach

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Correlates of sports practice, occupational and leisure-time physical activity in Brazilian adolescents

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Assessment of leisure-time physical activity for the prediction of inflammatory status and cardiometabolic profile

Objectives: Associations of leisure-time physical activity (LTPA), commuting and total physical activity with inflammatory markers, insulin resistance and metabolic profile in individuals at high cardiometabolic risk were investigated. Design: This was a cross-sectional study. Methods: A total of 193 prediabetic adults were compared according to physical activity levels measured by the international physical activity questionnaire; p for trend and logistic regression was employed. Results: The most active subset showed lower BMI and abdominal circumference, reaching significance only for LTPA (p for trend = 0.02). Lipid profile improved with increased physical activity levels. Interleukin-6 decreased with increased total physical activity and LTPA (p for trend = 0.02 and 0.03, respectively), while adiponectin increased in more active subsets for LTPA (p for trend = 0.03). Elevation in adjusted OR for hypercholesterolemia was significant for lower LTPA durations (p for trend = 0.04). High apolipoprotein B/apolipoprotein A ratio was inversely associated with LTPA, commuting and total physical activity. Increase in adjusted OR for insulin resistance was found from the highest to the lowest category of LTPA (p for trend = 0.04) but significance disappeared after adjustments for BMI and energy intake. No association of increased C-reactive protein with physical activity domains was observed. Conclusions: In general, the associations of LTPA, but not commuting or total physical activity, with markers of cardiometabolic risk reinforces the importance of initiatives to increase this domain in programs for the prevention of lifestyle-related diseases. (C) 2012 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Detecting determinism with improved sensitivity in time series: Rank-based nonlinear predictability score

The rank-based nonlinear predictability score was recently introduced as a test for determinism in point processes. We here adapt this measure to time series sampled from time-continuous flows. We use noisy Lorenz signals to compare this approach against a classical amplitude-based nonlinear prediction error. Both measures show an almost identical robustness against Gaussian white noise. In contrast, when the amplitude distribution of the noise has a narrower central peak and heavier tails than the normal distribution, the rank-based nonlinear predictability score outperforms the amplitude-based nonlinear prediction error. For this type of noise, the nonlinear predictability score has a higher sensitivity for deterministic structure in noisy signals. It also yields a higher statistical power in a surrogate test of the null hypothesis of linear stochastic correlated signals. We show the high relevance of this improved performance in an application to electroencephalographic (EEG) recordings from epilepsy patients. Here the nonlinear predictability score again appears of higher sensitivity to nonrandomness. Importantly, it yields an improved contrast between signals recorded from brain areas where the first ictal EEG signal changes were detected (focal EEG signals) versus signals recorded from brain areas that were not involved at seizure onset (nonfocal EEG signals).

Environmental influences on self-reported leisure-time physical activity in the Austin/Travis County STEPS survey 2005--2009

This study was an examination of environmental and social correlates of physical inactivity in a socio-economically disadvantaged community. This study was a secondary analysis of data collected by the Austin/Travis County Department of Health and Human Services. The study included an analysis of perceived environmental influences (e.g. access to physical support features like sidewalks and streetlights). This study also investigated several features of the social environment (e.g. perceived neighborhood crime and social influence). Participants’ beliefs and attitudes about the neighborhood were investigated. Results included estimates of the association between neighborhood factors and physical inactivity controlling for age, gender and education. This study found significant associations for social and environmental variables with physical inactivity. The goal of this work was to identify factors that contribute to inactivity and address a number of environmental and neighborhood risk factors that contribute to sedentary behaviors in a population of relative social and economic disadvantage.^

Nationwide impact and vehicle to grid application of electric vehicles mobility using an activity based model

This paper describes the impact of electric mobility on the transmission grid in Flanders region (Belgium), using a micro-simulation activity based models. These models are used to provide temporal and spatial estimation of energy and power demanded by electric vehicles (EVs) in different mobility zones. The increment in the load demand due to electric mobility is added to the background load demand in these mobility areas and the effects over the transmission substations are analyzed. From this information, the total storage capacity per zone is evaluated and some strategies for EV aggregator are proposed, allowing the aggregator to fulfill bids on the electricity markets.

Activity-based protein profiling: The serine hydrolases

With the postgenome era rapidly approaching, new strategies for the functional analysis of proteins are needed. To date, proteomics efforts have primarily been confined to recording variations in protein level rather than activity. The ability to profile classes of proteins on the basis of changes in their activity would greatly accelerate both the assignment of protein function and the identification of potential pharmaceutical targets. Here, we describe the chemical synthesis and utility of an active-site directed probe for visualizing dynamics in the expression and function of an entire enzyme family, the serine hydrolases. By reacting this probe, a biotinylated fluorophosphonate referred to as FP-biotin, with crude tissue extracts, we quickly and with high sensitivity detect numerous serine hydrolases, many of which display tissue-restricted patterns of expression. Additionally, we show that FP-biotin labels these proteins in an activity-dependent manner that can be followed kinetically, offering a powerful means to monitor dynamics simultaneously in both protein function and expression.