Publications by authors named "J M Cancela-Carral"

Background: Exercise and its effect on cardiovascular diseases have been extensively studied in the elderly population. The difference in blood pressure (BP) between fit and unfit subjects can be >5 mmHg. It is not well established whether the positive effects of exercising on BP are associated with exercise type, be it aerobic or anaerobic (maximal muscle strength).

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Multiple sclerosis is a chronic, inflammatory, neurodegenerative autoimmune disease caused by myelin loss in the central nervous system, which leads to motor and non-motor problems. The main objective of this study was to explore whether an immersive virtual reality (IVR) exercise programme would be feasible as a form of physical therapy for people with MS (pwMS). : 18 participants (13 women; 45.

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Background: high-intensity exercise is a feasible and effective modality in the early stages of Parkinson's disease (PD). However, there are only a few studies that have carried out this type of intervention in customizable immersive virtual reality (IVR) environments. We explore the feasibility and effects of IVR-based high-intensity training through rowing and cycling exercises on the functional capacity, quality of life, and progression of PD.

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Article Synopsis
  • Aging affects health-related fitness and body measurements, which can create health risks for older adults.
  • The study explored the link between body measurements and fitness components in 2,687 older Europeans, averaging 70 years old.
  • Findings show gender impacts fitness and body measures, with waist-to-height ratio and body mass index being the strongest indicators of physical fitness, particularly in relation to endurance and balance.*
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Background: Aging is the main factor in the eventual development of cardiovascular disease (CVD) the prevalence of which is increasing progressively along with life expectancy. Therefore, it is essential to identify the most effective indicators for predicting the possible development of CVD. Anthropometric indices provide useful information for CVD risk evaluation.

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