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.
journal_name
Muscle Nervejournal_title
Muscle & nerveauthors
Andres PL,English R,Mendoza M,Florence J,Malkus E,Schierbecker J,Siener C,Malspeis S,Schoenfeld DA,Munsat TL,Cudkowicz MEdoi
10.1002/mus.23516subject
Has Abstractpub_date
2013-02-01 00:00:00pages
177-82issue
2eissn
0148-639Xissn
1097-4598journal_volume
47pub_type
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