Bicycling and Tricycling Road Race Performance in International Para-Cycling Events Between 2011 and 2019.
This study described bicycling (C classes) and tricycling (T classes) performance in the International Cycling Federation road race events between 2011 and 2019. A total of 3243 race results from 33 events were analyzed. Race velocity was calculated for each result. Bicycling and tricycling data wer...
| Publicado en: | American Journal of Physical Medicine & Rehabilitation Vol. 101; no. 4; pp. 384 - 389 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Apr2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=155933007&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 155933007 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08949115 44N jtl: American Journal of Physical Medicine & Rehabilitation issn: 08949115 maglogo: N pubinfo: dt: Apr2022 vid: 101 iid: 4 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 155933007 155933007 155933007 10.1097/PHM.0000000000001819 155933007 ppf: 384 ppct: 5 formats: tig: atl: Bicycling and Tricycling Road Race Performance in International Para-Cycling Events Between 2011 and 2019. aug: au: Borg, David N. Osborne, John O. Tweedy, Sean M. Liljedahl, Johanna B. Nooijen, Carla F. J. sug: subj: Cycling Sports for Persons with Disabilities Athletic Performance Evaluation Athletic Performance Trends Athletes with Disabilities Human Comparative Studies Male Female Athletes, Female Athletes, Male Acceleration Descriptive Statistics Confidence Intervals Post Hoc Analysis Data Analysis Software Adult Middle Age Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: This study described bicycling (C classes) and tricycling (T classes) performance in the International Cycling Federation road race events between 2011 and 2019. A total of 3243 race results from 33 events were analyzed. Race velocity was calculated for each result. Bicycling and tricycling data were separately modeled using a linear mixed-effects model. Bicycling velocity was statistically different between all adjacent men's classes (Cohen d = 0.14-0.73) and between the women's C1 and C2 (d = 1.15) and C3 and C4 (d = 0.48) classes. The absence of statistical differences between some women's bicycling classes may be due to a limited number of observations in these classifications. As expected, velocity was statistically different between men's (d = 1.64) and women's (d = 1.38) T1 and T2 classes. Road race performance was hierarchical within the disciplines of bicycling and tricycling, although not all adjacent women's bicycling classes were statistically different. The existence of a performance hierarchy does not necessarily validate the classification system. The integration of information regarding athlete impairment type and severity, with performance data, would provide greater insight into the validity of the classification system and should be prioritized as an area of future research. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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