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Single leg squat performance in physically and non-physically active individuals: a cross-sectional study
BACKGROUND: Single-leg squat (SLS) is a functional test visually rated by clinicians for assessing lower limb function as a preventive injury strategy. SLS clinical rating is a qualitative evaluation and it does not count objective outcomes as kinematics data and surface electromyography (sEMG) asse...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513318/ https://www.ncbi.nlm.nih.gov/pubmed/28709418 http://dx.doi.org/10.1186/s12891-017-1660-8 |
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author | Gianola, Silvia Castellini, Greta Stucovitz, Elena Nardo, Alice Banfi, Giuseppe |
author_facet | Gianola, Silvia Castellini, Greta Stucovitz, Elena Nardo, Alice Banfi, Giuseppe |
author_sort | Gianola, Silvia |
collection | PubMed |
description | BACKGROUND: Single-leg squat (SLS) is a functional test visually rated by clinicians for assessing lower limb function as a preventive injury strategy. SLS clinical rating is a qualitative evaluation and it does not count objective outcomes as kinematics data and surface electromyography (sEMG) assessment. Based on the SLS rating, the aims of this study were (i) to determine the clinical rating agreement among six raters and (ii) to assess kinematic and sEMG predictors of good SLS performance in physically and non-physically active individuals. METHODS: Seventy-two healthy adults, divided in physically active and non-physically active groups, performed three SLSs on their dominant leg. Clinical ratings, kinematic data and sEMG were acquired. By using a validated clinical scale, six expert clinicians rated each SLS watching a video at three different time points. Intra and inter-rater agreement of clinical ratings were undertaken and a binary logistic regression analysis was used to determine kinematic and sEMG as predictors of SLS performance. RESULTS: The weighted kappa coefficient for intra-rater reliability within each rater ranged between moderate and almost perfect agreement (0.55–0.85) whereas the weighted kappa coefficient for inter-rater reliability among raters was fair (0.34, time point 0; 0.31, time point 1; 0.30, time point 2). SLS analyses of physically active compared to non-physically active group showed a statistically significant difference in knee flexion and hip flexion (p = 0.041 and p = 0.023 respectively) and no difference in clinical ratings (p = 0.081). Greater knee flexion can predict the good SLS performance taking into account the belonging group (p = 0.019). CONCLUSIONS: Physically active individuals seemed to be at less risk to perform a non-good SLS and they had greater knee and hip flexions kinematics than non-physically active individuals. Knee flexion can predict the SLS performance quality therefore a greater knee flexion might also be considered a protective element from injuries. TRIAL REGISTRATION: ClinicalTrials.gov identifier (trial has been registred retrospectively: NCT03203083. Date registration: June 21, 2017. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-017-1660-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5513318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55133182017-07-19 Single leg squat performance in physically and non-physically active individuals: a cross-sectional study Gianola, Silvia Castellini, Greta Stucovitz, Elena Nardo, Alice Banfi, Giuseppe BMC Musculoskelet Disord Research Article BACKGROUND: Single-leg squat (SLS) is a functional test visually rated by clinicians for assessing lower limb function as a preventive injury strategy. SLS clinical rating is a qualitative evaluation and it does not count objective outcomes as kinematics data and surface electromyography (sEMG) assessment. Based on the SLS rating, the aims of this study were (i) to determine the clinical rating agreement among six raters and (ii) to assess kinematic and sEMG predictors of good SLS performance in physically and non-physically active individuals. METHODS: Seventy-two healthy adults, divided in physically active and non-physically active groups, performed three SLSs on their dominant leg. Clinical ratings, kinematic data and sEMG were acquired. By using a validated clinical scale, six expert clinicians rated each SLS watching a video at three different time points. Intra and inter-rater agreement of clinical ratings were undertaken and a binary logistic regression analysis was used to determine kinematic and sEMG as predictors of SLS performance. RESULTS: The weighted kappa coefficient for intra-rater reliability within each rater ranged between moderate and almost perfect agreement (0.55–0.85) whereas the weighted kappa coefficient for inter-rater reliability among raters was fair (0.34, time point 0; 0.31, time point 1; 0.30, time point 2). SLS analyses of physically active compared to non-physically active group showed a statistically significant difference in knee flexion and hip flexion (p = 0.041 and p = 0.023 respectively) and no difference in clinical ratings (p = 0.081). Greater knee flexion can predict the good SLS performance taking into account the belonging group (p = 0.019). CONCLUSIONS: Physically active individuals seemed to be at less risk to perform a non-good SLS and they had greater knee and hip flexions kinematics than non-physically active individuals. Knee flexion can predict the SLS performance quality therefore a greater knee flexion might also be considered a protective element from injuries. TRIAL REGISTRATION: ClinicalTrials.gov identifier (trial has been registred retrospectively: NCT03203083. Date registration: June 21, 2017. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12891-017-1660-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-14 /pmc/articles/PMC5513318/ /pubmed/28709418 http://dx.doi.org/10.1186/s12891-017-1660-8 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Gianola, Silvia Castellini, Greta Stucovitz, Elena Nardo, Alice Banfi, Giuseppe Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title | Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title_full | Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title_fullStr | Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title_full_unstemmed | Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title_short | Single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
title_sort | single leg squat performance in physically and non-physically active individuals: a cross-sectional study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513318/ https://www.ncbi.nlm.nih.gov/pubmed/28709418 http://dx.doi.org/10.1186/s12891-017-1660-8 |
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