Background: This study tested the hypothesis that a home-based exercise program would improve functional performance in elderly people.
Methods: We conducted a 6-month, single-blinded, randomized controlled trial. 72 community dwelling men and women (aged >/=70 years) with self-reported and laboratory-based functional impairment were recruited for the study. Participants were randomly assigned to either a home-based progressive strength, balance, and general physical activity intervention or an attention-control group that received home-based nutrition education. Functional performance was measured in the laboratory using the Physical Performance Test (PPT) and the Established Populations for Epidemiologic Studies of the Elderly (EPESE) short physical performance battery. Physiologic capacity was measured by strength (one repetition maximum), dynamic balance (tandem walk), gait speed (2-meter walk), and cardiovascular endurance (6-minute walk).
Results: 70 participants (97%) completed the 6-month trial. Compliance with study interventions within each group ranged from 75% in controls to 82% in exercisers. PPT increased by 6.1 +/- 13.4% in exercisers and decreased by 2.8 +/- 13.6% in controls (p =.02). EPESE improved by 26.2 +/- 37.5% in exercisers and decreased by 1.2 +/- 22.1% in controls (p =.001). Dynamic balance improved by 33.8 +/- 14.4% in exercisers versus 11.5 +/- 23.7% in controls (p =.0002). There were no differences between groups in the change in strength, gait speed, or cardiovascular endurance.
Conclusions: Minimally supervised exercise is safe and can improve functional performance in elderly individuals. The improvements in functional performance occurred along with improvements in balance but without a significant change in muscle strength or endurance.
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http://dx.doi.org/10.1093/gerona/59.2.m154 | DOI Listing |
BMC Cancer
January 2025
Department of Pediatric Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Background: Neuroblastoma, a prevalent extracranial solid tumor in pediatric patients, demonstrates significant clinical heterogeneity, ranging from spontaneous regression to aggressive metastatic disease. Despite advances in treatment, high-risk neuroblastoma remains associated with poor survival. SLC1A5, a key glutamine transporter, plays a dual role in promoting tumor growth and immune modulation.
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Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
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J Imaging Inform Med
January 2025
Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China.
Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification. We introduce a Multi-view High-order Network (MHNet) to capture hierarchical and high-order features from multi-view BFNs derived from rs-fMRI data for NDD prediction.
View Article and Find Full Text PDFSci Rep
January 2025
School of Railway Transportation, Shanghai Institute of Technology, Shanghai, China.
Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. Traditional arc detection methods, while functional, often suffer from low detection accuracy and high computational complexity, especially in complex operational environments. This limitation is particularly problematic in real-time monitoring and the efficient operation of power systems.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physical Chemistry, University of Cádiz, 11510, Puerto Real, Spain.
To reduce greenhouse emissions and producing electricity with the smallest environmental impact, developing solar power technology is one of the most important milestones to achieve. Thus, to improve the efficiency of the concentrated solar power (CSP) plants, with lower environmental impact, is of great interest. This work reports the development of nanofluids, a colloidal suspension of nanomaterials in a fluid, based on an environment-friendly base fluid for improving the performance of the heat transfer process in CSP plants.
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