Computer-assisted image analysis for measuring body segmental angles during a static strength element on parallel bars: validity and reliability.
This study aimed to introduce a technique using computer-assisted image analysis for measuring body segmental angles during a static strength element on parallel bars. Criterion validity and intra-rater reliability of measurements were evaluated using digital photography, skin markers and a gravity-...
| Published in: | Sports Biomechanics Vol. 10; no. 2; pp. 135 - 146 |
|---|---|
| Main Author: | |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
Jun2011
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104709187&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104709187 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14763141 I7F jtl: Sports Biomechanics issn: 14763141 maglogo: N pubinfo: dt: Jun2011 vid: 10 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104709187 60827864 10.1080/14763141.2011.569561 NLM21834397 104709187 ppf: 135 ppct: 11 formats: tig: atl: Computer-assisted image analysis for measuring body segmental angles during a static strength element on parallel bars: validity and reliability. aug: au: Siatras, Theophanis affil: Department of Physical Education and Sport Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece sug: subj: Gymnastics Body Weights and Measures Methods Image Processing, Computer Assisted Digital Imaging Goniometry Instrument Validation Clinical Assessment Tools Criterion-Related Validity Intrarater Reliability Greece Exercise Physiology Validation Studies Education, Physical Education Students, College Body Weights and Measures Young Adult Male Descriptive Statistics Human Reliability and Validity Test-Retest Reliability Intraclass Correlation Coefficient Confidence Intervals One-Way Analysis of Variance Male ab: This study aimed to introduce a technique using computer-assisted image analysis for measuring body segmental angles during a static strength element on parallel bars. Criterion validity and intra-rater reliability of measurements were evaluated using digital photography, skin markers and a gravity-reference goniometer. Twenty male former gymnasts participated in this study. They performed a strength hold element on parallel bars (V-sit) and they were photographed with legs extended and stabilized at the highest possible level. The leg to horizontal, trunk to vertical and arm to vertical angles were calculated and examined for reliability using image-pro software. The leg angle was also examined for its validity, by simultaneously using a Myrin goniometer. The two goniometric techniques indicated high leg angle measurements agreement (R = 0.997, p < 0.001). However, Bland-Altman analysis showed that there was a slight leg angle measurement overrating using image-pro software, especially at smaller angles. The Intra-class Correlation Coefficient (ICC) values were high for leg angle (R = 0.971), trunk angle (R = 0.957) and arm angle (R = 0.945), showing an excellent test-retest agreement. It was ascertained that the measurement of segmental angles during V-sit on parallel bars using digital photography and computer-assisted image analysis can be highly reliable when taken by the same experienced examiner. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|