21 research outputs found

    Association of Habitual Physical Activity With Cardiovascular Disease Risk

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    Reallocating sedentary time to moderate-to-vigorous physical activity but not to light-intensity physical activity is effective to reduce adiposity among youths: a systematic review and meta-analysis

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    Results. — Significant differences in MVC and fat-free mass were found between participants with different physical level. Significant associations between all the body composition measures and the strength-related variables (handgrip and MVC) in both physical activity categories also were found. In addition, associations between triglycerides, LDL and total cholesterol with muscle strength and cardiorespiratory fitness were observed only in the low physical activity group. Moreover, MVC explained up to 39% of the variance in metabolic syndrome in those with a moderate level of physical activity. Conclusions. — Correlations between physical fitness (especially in strength) and health risk factors depending on the level of physical activity were found

    Bayesian latent structure modeling of walking behavior in a physical activity intervention

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    The analysis of walking behavior in a physical activity intervention is considered. A Bayesian latent structure modeling approach is proposed whereby the ability and willingness of participants is modeled via latent effects. The dropout process is jointly modeled via a linked survival model. Computational issues are addressed via posterior sampling and a simulated evaluation of the longitudinal model’s ability to recover latent structure and predictor effects is considered. We evaluate the effect of a variety of socio-psychological and spatial neighborhood predictors on the propensity to walk and the estimation of latent ability and willingness in the full study
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