Questions: Do aerobic, resistance and combined exercise training improve aerobic capacity, arterial blood pressure and haemodialysis efficiency in people requiring haemodialysis for end-stage renal disease? Is one exercise training modality better than the others for improving these outcomes?
Design: Systematic review with network meta-analysis of randomised trials.
Participants: Adults requiring haemodialysis for end-stage renal disease.
Intervention: Aerobic training, resistance training, combined training and control (no exercise or placebo).
Outcome Measures: Aerobic capacity, arterial blood pressure at rest, and haemodialysis efficiency.
Results: Thirty-three trials involving 1254 participants were included. Direct meta-analyses were conducted first. Aerobic capacity improved significantly more with aerobic training (3.35 ml/kg/min, 95% CI 1.79 to 4.91) and combined training (5.00 ml/kg/min, 95% CI 3.50 to 6.50) than with control. Only combined training significantly reduced systolic (-9 mmHg, 95% CI -13 to -4) and diastolic (-5 mmHg, 95% CI -6 to -3) blood pressure compared to control. Only aerobic training was superior to control for haemodialysis efficiency (Kt/V 0.11, 95% CI 0.02 to 0.20). However, when network meta-analysis was conducted, there were some important different findings. Both aerobic training and combined training again elicited greater improvements in aerobic capacity than control. For systolic blood pressure, combined training was superior to control. For diastolic blood pressure, combined training was superior to aerobic training and control. No modality was superior to control for haemodialysis efficiency. Combined training was ranked as the most effective treatment for aerobic capacity and arterial blood pressure.
Conclusion: Combined training was the most effective modality to increase aerobic capacity and blood pressure control in people who require haemodialysis. This finding helps to fill the gap created by the lack of head-to-head comparisons of different modalities of exercise in people with end-stage renal disease.
Registration: PROSPERO CRD42015020531.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jphys.2018.11.008 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Design, Synthesis, and Imaging of a Stable Xanthene-Based Dye with NIR-II Emission up to 1450 nm.
Anal Chem
January 2025
Center for Advanced Materials Research & Faculty of Arts and Sciences, Beijing Normal University, Zhuhai 519087, P. R. China.
The development of long-wavelength near-infrared II (NIR-II, 900-1700 nm) dyes is highly desirable but challenging. To achieve both red-shifted absorption/emission and superior imaging capabilities, a donor-acceptor-donor (D-A-D) xanthene core was strategically modified by extending π-conjugated double bonds and enhancing electron-donating properties. Two dyes named and were synthesized and exhibited notably red-shifted absorption/emission peaks at 942/1250 and 1098/1450 nm, respectively.
View Article and Find Full Text PDFScreening, Discovery, and Optimization of the Natural Antitubercular Chlorflavonin from a Marine-Derived Fungal Library.
J Nat Prod
January 2025
Key Laboratory of Marine Drugs, The Ministry of Education of China, School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, People's Republic of China.
Tuberculosis (TB), caused by the bacterium (), is still a leading cause of mortality worldwide. Fifty-fungi from a marine-derived fungal library were screened for anti- activity, and an strain with strong anti- activity was found. Three known flavones, chlorflavonin (), dechlorflavonin (), and bromoflavone (), were isolated from this fungus.
View Article and Find Full Text PDFRural Culture and Diabetes Self-Management Beliefs, Behaviors and Health Outcomes.
Nurs Res
January 2025
Bassett Research Institute, Bassett Medical Center, Cooperstown, NY.
Background: Rural populations in the United States face a diabetes mortality penalty. Self-management is a core component of treatment for type 2 diabetes, but there is low uptake of self-management education and support interventions in rural areas. Rural structural barriers to diabetes self-management have been described, yet the role of rural culture has not been extensively explored.
View Article and Find Full Text PDFNumerical testing method and mechanical property evaluation of large particle size asphalt mixture.
PLoS One
January 2025
Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an, Shaanxi, China.
The large particle size asphalt mixture with nominal maximum aggregate size 53 mm(LSAM-50) has good technical and economic performance and will become an effective technical way to build a full-thick long-life asphalt pavement with Chinese characteristics. In order to reveal the mechanical properties and influencing factors of LSAM-50 in depth, a numerical test method for the mechanical properties of the large particle size LSAM-50 asphalt mixture was developed, and a reasonable specimen size for LSAM-50 performance test was proposed by combining the numerical test and the indoor test. The results show that: LSAM-50 numerical test conditions are the calculation time step 10-3 s/step, the loading rate is 2 mm/min (uniaxial compression numerical test) and 50 mm/min (splitting numerical test) when LSAM-50 numerical experiment calculation rate and numerical experiment accuracy are better; after the size of the specimen reaches 200×160mm, the influence of the size effect is eliminated.
View Article and Find Full Text PDFAn ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection.
PLoS One
January 2025
Department of Information Systems and Cybersecurity, University of Bisha, Bisha, KSA.
Accurate energy demand forecasting is critical for efficient energy management and planning. Recent advancements in computing power and the availability of large datasets have fueled the development of machine learning models. However, selecting the most appropriate features to enhance prediction accuracy and robustness remains a key challenge.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!