Abstract
Introduction: The Accurate Test of Limb Isometric Strength (ATLIS) device can reliably measure the strength of 12 muscle groups using a fixed load cell. The purpose of this study was to analyze ATLIS data from healthy adults to calculate an individual's predicted strength scores. Methods: ATLIS data were collected from 432 healthy adults. Linear regression models were developed to predict each muscle group's strength. The R-squared statistic assessed variability accounted for by the models. Results: Simple main effects models stratified by gender were used to establish regression equations for each muscle using factors of age, weight, and height. Conclusions: Normalizing raw strength scores controls for biometric factors, thus enabling meaningful comparisons between subjects and allowing each muscle to contribute equally to a summary score. Normalized scores are easily interpreted for broad clinical uses, and derived summary scores establish individuals' disease progression rates using a common scale, allowing for more efficient clinical trials.
Original language | English |
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Pages (from-to) | 177-182 |
Number of pages | 6 |
Journal | Muscle and Nerve |
Volume | 47 |
Issue number | 2 |
DOIs | |
State | Published - Feb 2013 |
Keywords
- ALS
- Neuromuscular
- Outcomes measures
- Strength testing
- Summary scores
ASJC Scopus subject areas
- Physiology
- Clinical Neurology
- Cellular and Molecular Neuroscience
- Physiology (medical)