Introduction: The Load Carriage Decision Aid (LCDA) is a U.S. Army planning tool that predicts physiological responses of soldiers during different dismounted troop scenarios. We aimed to develop an equation that calculates standing and walking metabolic rates in healthy military-age adults for the LCDA using a meta-regression.
Methods: We searched for studies that measured the energetic cost of standing and treadmill walking in healthy men and women via indirect calorimetry. We used mixed effects meta-regression to determine an optimal equation to calculate standing and walking metabolic rates as a function of walking speed (S, m·s). The optimal equation was used to determine the economical speed at which the metabolic cost per distance walked is minimized. The estimation precision of the new LCDA walking equation was compared with that of seven reference predictive equations.
Results: The meta-regression included 48 studies. The optimal equation for calculating normal standing and walking metabolic rates (W·kg) was 1.44 + 1.94S + 0.24S. The economical speed for level walking was 1.39 m·s (~ 3.1 mph). The LCDA walking equation was more precise across all walking speeds (bias ± SD, 0.01 ± 0.33 W·kg) than the reference predictive equations.
Conclusion: Practitioners can use the new LCDA walking equation to calculate energy expenditure during standing and walking at speeds <2 m·s in healthy, military-age adults. The LCDA walking equation avoids the errors estimated by other equations at lower and higher walking speeds.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1249/MSS.0000000000001779 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Consumer views of functional electrical stimulation and robotic exoskeleton in SCI rehabilitation: A mini review.
Artif Organs
December 2024
Department of Veterans Affairs, Hunter Holmes McGuire Medical Center, Richmond, Virginia, USA.
Background: Functional electrical stimulation (FES) and robotic exoskeletons represent emerging technologies with significant potential for restoring critical physical functions such as standing and walking-functions that are most susceptible after spinal cord injury (SCI). However, the further development and successful integration of these technologies into clinical practice and daily life require a deep understanding of consumer perspectives.
Objective: This review synthesizes consumer perspectives from a diverse range of technology stakeholders, including medical service providers, researchers, and persons affected by SCI-those living with SCI and their caregivers.
Movement pattern biofeedback training after total knee arthroplasty: a randomized controlled trial.
Arthritis Care Res (Hoboken)
December 2024
University of Colorado Anschutz Medical Campus, Aurora, CO.
Objective: Habitual movement compensations, such as decreased surgical peak knee extension moments (pKEM), persist years after total knee arthroplasty (TKA), are linked to poorer recovery, and may influence contralateral osteoarthritis (OA) progression. The purpose of this randomized clinical trial was to determine if a movement training program (MOVE) improves movement quality and recovery after TKA compared to a standardized rehabilitation program without movement training (CONTROL).
Methods: One hundred thirty-eight individuals were randomized to either MOVE or CONTROL groups after TKA.
Dynamical complexity of postural control system in autism spectrum disorder: a feasibility study of linear and non-linear measures in posturographic analysis of upright posture.
J Neuroeng Rehabil
December 2024
Section of Physiology, Laboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123, Catania, Italy.
Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder, characterized by impairments in social interaction and communication with restricted and repetitive behavior. Postural and motor disturbances occur more often in ASD, in comparison to typically developing subjects, affecting the quality of life. Linear and non-linear indexes derived from the trajectory of the center of pressure (COP) while subjects stand on force platforms are commonly used to assess postural stability.
View Article and Find Full Text PDFDevelopment and Validation of a Nutritional Frailty Phenotype for Older Adults Based on Risk Prediction Model: Results From a Population-Based Prospective Cohort Study.
J Am Med Dir Assoc
December 2024
School of Nursing, Peking University, Beijing, China. Electronic address:
Objectives: Malnutrition is generally studied to be involved in outlining hazard frailty trajectories, resulting in adverse outcomes. In view of frailty's multidimensional nature, we aimed to assess the contribution of nutritional items in existing frailty tools to adverse outcomes, and develop and validate a nutritional frailty phenotype based on machine learning.
Design: A population-based prospective cohort study.
Evaluating functional outcomes and quality of life in musculoskeletal tumor patients with distal femoral megaprostheses: a case-control study.
World J Surg Oncol
December 2024
Department of Physiotherapy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.
Background: Endoprosthetic knee replacement using megaprostheses has become a common strategy for preserving joint function in patients with distal femur tumors. While existing literature has primarily focused on surgical techniques, complications, and implants, recent improvements in patient survival rates have sparked increased interest in the long-term functional outcomes associated with this treatment.
Methods: This case-control study evaluated functional outcomes-Timed Up and Go (TUG), 6-Minute Walk Test (6MWT), knee flexor and extensor muscle strength, and sagittal knee range of motion-and health-related quality of life (SF-36) between patients with distal femoral megaprostheses (n = 31) and healthy controls (n = 48).
Want 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!