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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 &lt; 0.001). In univariable linear regression, sex showed the highest effect on MILEMS prediction in sitting position (higher strength in men, P &lt; 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 &lt; 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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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