Literature DB >> 19177946

The influence of matching populations on kinematic and kinetic variables in runners with iliotibial band syndrome.

Stefan Grau1, Christian Maiwald, Inga Krauss, Detlef Axmann, Thomas Horstmann.   

Abstract

The purpose of this study was to assess how participant matching influences biomechanical variables when comparing healthy runners and runners with iliotibial band syndrome (ITBS). We examined 52 healthy runners (CO) and 18 with ITBS, using three-dimensional kinematics and pressure distribution. The study population was matched in three ways and compared with the biomechanical findings: ITBS versus CO I (unmatched), ITBS versus CO II (matched to gender) and ITBS versus CO III (matched to gender height, and weight). The final number of participants in each group was n = 18. The kinematic variables showed a dependency on the matching process. The largest statistically significant differences (after Bonferroni adjustment) in the frontal and transverse planes were between ITBS and CO III (p = .008). Pressure measurements were also dependent on the matching process, with decreasing and nonsignificant differences (p = .006) between ITBS and CO after refining the process (ITBS vs. CO III). The results of this study and the necessity of matching seem to be plausible (lever arms, different running styles). Data matching is important for understanding overuse injuries in running.

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Year:  2008        PMID: 19177946     DOI: 10.1080/02701367.2008.10599511

Source DB:  PubMed          Journal:  Res Q Exerc Sport        ISSN: 0270-1367            Impact factor:   2.500


  5 in total

Review 1.  Iliotibial band syndrome in runners: a systematic review.

Authors:  Maarten P van der Worp; Nick van der Horst; Anton de Wijer; Frank J G Backx; Maria W G Nijhuis-van der Sanden
Journal:  Sports Med       Date:  2012-11-01       Impact factor: 11.136

2.  A LITERATURE REVIEW AND CLINICAL COMMENTARY ON THE DEVELOPMENT OF ILIOTIBIAL BAND SYNDROME IN RUNNERS.

Authors:  Derek Charles; Clay Rodgers
Journal:  Int J Sports Phys Ther       Date:  2020-05

3.  Runners with patellofemoral pain demonstrate sub-groups of pelvic acceleration profiles using hierarchical cluster analysis: an exploratory cross-sectional study.

Authors:  Ricky Watari; Sean T Osis; Angkoon Phinyomark; Reed Ferber
Journal:  BMC Musculoskelet Disord       Date:  2018-04-19       Impact factor: 2.362

4.  Predicting Temporal Gait Kinematics: Anthropometric Characteristics and Global Running Pattern Matter.

Authors:  Aurélien Patoz; Thibault Lussiana; Cyrille Gindre; Laurent Mourot
Journal:  Front Physiol       Date:  2021-01-08       Impact factor: 4.566

5.  Risk factors for overuse injuries in a cohort of elite Swedish track and field athletes.

Authors:  Andreas Lundberg Zachrisson; Andreas Ivarsson; Pia Desai; Jon Karlsson; Stefan Grau
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-07-08
  5 in total

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