Identifying Differences in Swimming Speed Fluctuation in Age-Group Swimmers by Statistical Parametric Mapping: A Biomechanical Assessment for Performance Development.
The aim of this study was to compare the assessment of swimming speed processed as a discrete variable and as a continuous variable in young swimmers. One-hundred and twenty young swimmers (60 boys: age = 12.91 ± 0.86 years; 60 girls: age = 12.46 ± 0.94 years) were analysed. The dataset for each sex...
| Published in: | Journal of Sports Science & Medicine Vol. 22; no. 2; pp. 358 - 367 |
|---|---|
| Main Authors: | , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Hakan Gur, Journal of Sports Science & Medicine
Jun2023
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=165629984&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 165629984 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13032968 FYN jtl: Journal of Sports Science & Medicine issn: 13032968 maglogo: N pubinfo: dt: Jun2023 vid: 22 iid: 2 pid: 26030 pub: Hakan Gur, Journal of Sports Science & Medicine artinfo: ui: 165629984 165629984 165629984 10.52082/jssm.2023.358 165629984 ppf: 358 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Identifying Differences in Swimming Speed Fluctuation in Age-Group Swimmers by Statistical Parametric Mapping: A Biomechanical Assessment for Performance Development. aug: au: Morais, Jorge E. Marinho, Daniel A. Cobley, Stephen Barbosa, Tiago M. affil: Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal sug: subj: Biomechanics Athletic Performance Evaluation Swimming In Adolescence Human Adolescence Male Female Descriptive Statistics Sex Factors Parametric Statistics Anthropometry Athletes, Elite Athletic Training Motion Analysis Systems Time Series Confidence Intervals Two-Way Analysis of Variance Data Analysis Software Comparative Studies Funding Source Adolescent: 13-18 years Male Female ab: The aim of this study was to compare the assessment of swimming speed processed as a discrete variable and as a continuous variable in young swimmers. One-hundred and twenty young swimmers (60 boys: age = 12.91 ± 0.86 years; 60 girls: age = 12.46 ± 0.94 years) were analysed. The dataset for each sex was divided into three tiers: (i) tier #1 - best-performing swimmers; (ii) tier #2: intermediate-performing swimmers, and; (iii) tier #3 - poorest-performing swimmers. As a discrete variable, swimming speed showed significant sex and tier effects, and a significant sex*tier interaction (p < 0.001). Speed fluctuation showed a nonsignificant sex effect (p > 0.05), a significant tier effect (p < 0.001), and a non-significant sex*tier interaction (p > 0.05). As a continuous variable, the swimming speed time-curve presented significant sex and tier effects (p < 0.001) throughout the stroke cycle, and a significant sex*tier interaction (p < 0.05) in some moments of the stroke cycle. Swimming speed fluctuation analysed as a discrete variable and as a continuous variable can be used in a complementary way. Nonetheless, SPM can provide deeper insight into differences within the stroke cycle. Thus, coaches and practitioners should be aware that different knowledge about the swimmers' stroke cycle can be learned by assessing swimming speed using both methods. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|