Strength and endurance of the lumbar extensor muscles and their predictors: A cross-sectional study in healthy subjects
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00081101" target="_blank" >RIV/65269705:_____/25:00081101 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/25:00140535
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1050641124001172" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1050641124001172</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jelekin.2024.102973" target="_blank" >10.1016/j.jelekin.2024.102973</a>
Alternative languages
Result language
angličtina
Original language name
Strength and endurance of the lumbar extensor muscles and their predictors: A cross-sectional study in healthy subjects
Original language description
The purpose of this cross-sectional study was to present the values of maximal isometric lumbar extensor muscle strength (MILEMS) and lumbar extensor muscle endurance (LEME) in healthy subjects and to study the influence of physiological factors on these parameters. MILEMS using a hand-held dynamometer in three positions (prone, sitting, standing) and LEME using the Biering-Sorensen test were assessed in 115 healthy volunteers. The MILEMS measurements for the specific positions were correlated with each other (Pearson correlation coefficients 0.31-0.87, p < 0.001). In univariable linear regression, sex showed the highest effect on MILEMS prediction in sitting position (higher strength in men, P < 0.001, R2 of 20.4 %). Multivariable linear regression led to construction of a calculator to estimate predicted MILEMS in the sitting position in relation to sex, age and BMI with R2 of 32.2 %. LEME was mostly predicted by BMI (decrease of LEME with increasing BMI, P < 0.001), but multivariable regression analysis did not allow the construction of a reliable calculator to predict this parameter. In conclusion, we provided values for MILEMS and LEME. A calculator was developed to predict MILEMS and to determine the percentile of measured MILEMS in an individual. It is expected to be particularly useful in assessing patients who are likely to have lumbar extensor muscle impairment.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Electromyography and Kinesiology
ISSN
1050-6411
e-ISSN
1873-5711
Volume of the periodical
80
Issue of the periodical within the volume
FEB 2025
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
102973
UT code for WoS article
001400013100001
EID of the result in the Scopus database
2-s2.0-85213873704