Physical and Temporal Characteristics of Under 19, Under 21 and Senior Male Beach Volleyball Players.
This study aimed to assess the effects of age groups and players’ role (blocker vs. defender specialist) in beach volleyball in relation to physical and temporal variables, considering quality of opposition. 1101 rallies from Under 19 (U19), 933 rallies from Under 21 (U21), and 1480 rallies from sen...
| Publicado en: | Journal of Sports Science & Medicine Vol. 13; no. 3; pp. 658 - 666 |
|---|---|
| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Hakan Gur, Journal of Sports Science & Medicine
Sep2014
|
| 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=97753452&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 97753452 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13032968 FYN jtl: Journal of Sports Science & Medicine issn: 13032968 maglogo: N pubinfo: dt: Sep2014 vid: 13 iid: 3 pid: 26030 pub: Hakan Gur, Journal of Sports Science & Medicine artinfo: ui: 97753452 97753452 103882793 97753452 ppf: 658 ppct: 8 formats: fmt: @attributes: type: P tig: atl: Physical and Temporal Characteristics of Under 19, Under 21 and Senior Male Beach Volleyball Players. aug: au: Medeiros, Alexandre Marcelino, Rui Mesquita, Isabel Palao, José Manuel affil: Faculty of Sport, University of Oporto, Portugal. sug: subj: Volleyball Age Factors Athletic Performance Exercise Physiology Human Male Adolescence Young Adult Descriptive Statistics Athletes, Elite Cluster Analysis T-Tests Logistic Regression Jumping Time Factors Recovery, Exercise Sporting Events One-Way Analysis of Variance Post Hoc Analysis Odds Ratio Confidence Intervals Data Analysis Software Comparative Studies Adolescent: 13-18 years Male ab: This study aimed to assess the effects of age groups and players’ role (blocker vs. defender specialist) in beach volleyball in relation to physical and temporal variables, considering quality of opposition. 1101 rallies from Under 19 (U19), 933 rallies from Under 21 (U21), and 1480 rallies from senior (senior) (Men’s Swatch World Championships, 2010-2011) were observed using video match analysis. Cluster analysis was used to set teams’ competitive levels and establish quality of opposition as “balanced”, “moderate balanced” and “unbalanced” games. The analyzed variables were: temporal (duration of set, total rest time, total work time, duration of rallies, rest time between rallies) and physical (number of jumps and number of hits done by defenders and blockers) characteristics. A one-way ANOVA, independent samples t-test and multinomial logistic regression were performed to analyze the variables studied. The analysis of temporal and physical characteristics showed differences considering age group, player’s role and quality of opposition. The duration of set, total rest time, and number of jumps done by defenders significantly increased from the U19 to senior category. Multinomial logistic regression showed that in: a) balanced games, rest time between rallies was higher in seniors than in U19 or U21; number of jumps done by defenders was higher in seniors than in U19) and U21; b) moderate balanced games, number of jumps done by defenders was higher in seniors than in U21 and number of jumps done by blockers was smaller in U19 than U21 or seniors; c) unbalanced games, no significant findings were shown. This study suggests differences in players’ performances according to age group and players’ role in different qualities of opposition. The article provides reference values that can be useful to guide training and create scenarios that resemble a competition, taking into account physical and temporal characteristics. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|