21 research outputs found
Effect of Inpatient Multicomponent Occupational Rehabilitation Versus Less Comprehensive Outpatient Rehabilitation on Sickness Absence in Persons with Musculoskeletal- or Mental Health Disorders: A Randomized Clinical Trial
Healthy Lifestyle During the Midlife Is Prospectively Associated With Less Subclinical Carotid Atherosclerosis: The Study of Women's Health Across the Nation
Control arms in exercise training studies: transitioning from an era of intervention efficacy to one of comparative clinical effectiveness research
Using symbolic aggregate approximation (SAX) to visualize activity transitions among older adults
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
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
Diagnostic status and age at diagnosis of hypertension on adherence to lifestyle recommendations
A home-based physical activity intervention using activity trackers in survivors of childhood cancer: A pilot study
Bayesian latent structure modeling of walking behavior in a physical activity intervention
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
