Question: What are the effects of additional exercise on hospital and patient outcomes for acutely-hospitalised older medical patients?
Design: Controlled clinical trial.
Participants: 236 Patients aged 65 or older admitted to an acute care hospital with a medical illness between October 2002 and July 2003.
Intervention: The experimental group received usual care plus an individually tailored exercise program administered twice daily from hospital admission to discharge. The control group received usual care only.
Outcome Measures: The primary outcome was discharge destination. Secondary outcomes were measures of activity limitation (Barthel Index, Timed Up and Go, Functional Ambulation Classification), length of stay, and adverse events.
Results: There was no significant effect of the additional exercise program on any outcome. There were no significant differences between groups for the proportion of the patients discharged to home (RR 0.99, 95% CI 0.86 to 1.14) or inpatient rehabilitation (RR 0.76, 95% CI 0.30 to 1.51) or for measures of activity limitation at hospital discharge. A one day difference in length of stay was identified between groups but this difference was not significant (p = 0.45). There were no significant differences between groups for adverse events: 28-day readmission (RR 1.10, 95% CI 0.65 to 1.86), patient mortality (RR 1.15, 95% CI 0.16 to 8.0), intensive care admission (RR 0.16, 95% CI 0.01 to 3.13) and falls (RR 0.69, 95% CI 0.17 to 2.81).
Conclusion: Additional physiotherapy intervention during hospitalisation did not significantly improve hospital or patient outcomes.
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http://dx.doi.org/10.1016/s0004-9514(07)70043-0 | DOI Listing |
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFBiosci Microbiota Food Health
September 2024
Core Technology Laboratories, Asahi Quality & Innovations, Ltd., 1-1-21 Midori, Moriya-shi, Ibaraki 302-0106, Japan.
α-Cyclodextrin (αCD), a cyclic hexasaccharide composed of six glucose units, is not digested in the small intestine but is completely fermented by gut microbes. Recently, we have reported that αCD supplementation for nonathlete men improved their 10 km biking times. However, the beneficial effects of αCD on exercise are not yet fully understood.
View Article and Find Full Text PDFFront Sports Act Living
December 2024
Department of Elite Sport, Swiss Federal Institute of Sport Magglingen, Magglingen, Switzerland.
Background: Longitudinal performance tracking in sports science is crucial for accurate talent identification and prognostic prediction of future performance. However, traditional methods often struggle with the complexities of unbalanced datasets and inconsistent repeated measures.
Purpose: This study aimed to analyze the longitudinal performance development of female 60 m sprint runners using linear mixed effects models (LMM).
Clin Physiol Funct Imaging
January 2025
Faculty of Medicine, Department Radiology, Gazi University, Ankara, Turkey.
Background: Optimizing hamstring exercises is crucial for injury prevention and performance. This study explored the effects of blood flow restriction (BFR) during Nordic hamstring exercises (NHE) on hamstring muscle activation and vascular function.
Methods: A randomized, single-blind study included 14 healthy, physically active males (mean age: 27.
BMC Med
January 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Background: Over the past decades, the prevalence of obesity among adults has rapidly increased, particularly in socioeconomically deprived urban neighbourhoods. To better understand the complex mechanisms behind this trend, we created a system map exposing the underlying system driving obesity prevalence in socioeconomically deprived urban neighbourhoods over the last three decades in the Netherlands.
Methods: We conducted Group Model Building (GMB) sessions with a group of thirteen interdisciplinary experts to develop a Causal Loop Diagram (CLD) of the obesogenic system.
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