4
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      DOES THE TYPE OF SET AND FINAL SCORE CHANGE TIME INDICATORS IN BEACH VOLLEYBALL? A STUDY DURING BRAZILIAN SCHOOL CHAMPIONSHIP Translated title: O TIPO DE SET E A PONTUAÇÃO FINAL ALTERAM OS INDICADORES DE TEMPO NO VOLEIBOL DE PRAIA? UM ESTUDO DURANTE O CAMPEONATO BRASILEIRO ESCOLAR

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          ABSTRACT This study aimed to compare temporal indicators according to the type of set and final score difference. Twenty-five teams of male beach volleyball players (15 - 17 years old) competed in Brazilian School Championship, national stage. 21 matches, 42 sets, and 1374 rallies were observed. The variables analyzed were rally duration, rest time between rallies, total work time, total rest time, duration of the set, rest time : work time ratio, and the number of rallies. Time indicators were compared between the type of set (1st set Vs. 2nd set) and balance categories according to the difference in the final score (unbalanced, moderate balance, and balanced), using t-test and one-way ANOVA, respectively. No significant difference was found between the 1st and 2nd set, although a moderate effect was observed in total work time between sets. Moreover, the final score difference influences the duration of set, total work time, and total work-rest show a linear tendency between balanced levels. The temporal indicators do not seem to change concerning the type of set. However, there is a tendency for an increase in working time from the 1st to the 2nd set. Finally, the score influences the duration of the set, total work time, and total rest time, without modifying the effort : rest ratio.

          Translated abstract

          RESUMO Esse estudo objetivou comparar indicadores temporais de acordo com o tipo de set e a diferença da pontuação final. Participaram do estudo 25 times masculinos de voleibol de praia (15 - 17 anos), que competiram nos Jogos Escolares Brasileiro, fase nacional. Foram observados 21 jogos, 42 sets e 1374 rallies. As variáveis analisadas foram a duração do rally, tempo de descanso entre os rallies, tempo total de trabalho, tempo total de descanso, duração do set, razão tempo de descanso : tempo de trabalho e quantidade de rallies. Comparou-se os indicadores de tempo entre o tipo de set (1ºset Vs. 2ºset) e categorias de equilíbrio de acordo com a diferença da pontuação final (desequilibrado, moderado equilíbrio e equilibrado), utilizando teste t e Anova de uma via, respectivamente. Não foi encontrada diferença significativa entre o 1º e 2º set, no entanto, efeito moderado foi observado no tempo total de trabalho. A diferença da pontuação final afetou a duração do set, o tempo total de trabalho e o trabalho total de descanso, mostrando uma tendência linear entre os níveis de equilíbrio. Os indicadores temporais parecem não se alterar em relação ao tipo de set, porém, há uma tendência de aumento do tempo de trabalho do 1º para o 2º set. Finalmente, a pontuação influencia a duração do set, tempo total de trabalho e tempo total de descanso, sem modificar a relação esforço : pausa.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: not found

          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Progressive statistics for studies in sports medicine and exercise science.

            Statistical guidelines and expert statements are now available to assist in the analysis and reporting of studies in some biomedical disciplines. We present here a more progressive resource for sample-based studies, meta-analyses, and case studies in sports medicine and exercise science. We offer forthright advice on the following controversial or novel issues: using precision of estimation for inferences about population effects in preference to null-hypothesis testing, which is inadequate for assessing clinical or practical importance; justifying sample size via acceptable precision or confidence for clinical decisions rather than via adequate power for statistical significance; showing SD rather than SEM, to better communicate the magnitude of differences in means and nonuniformity of error; avoiding purely nonparametric analyses, which cannot provide inferences about magnitude and are unnecessary; using regression statistics in validity studies, in preference to the impractical and biased limits of agreement; making greater use of qualitative methods to enrich sample-based quantitative projects; and seeking ethics approval for public access to the depersonalized raw data of a study, to address the need for more scrutiny of research and better meta-analyses. Advice on less contentious issues includes the following: using covariates in linear models to adjust for confounders, to account for individual differences, and to identify potential mechanisms of an effect; using log transformation to deal with nonuniformity of effects and error; identifying and deleting outliers; presenting descriptive, effect, and inferential statistics in appropriate formats; and contending with bias arising from problems with sampling, assignment, blinding, measurement error, and researchers' prejudices. This article should advance the field by stimulating debate, promoting innovative approaches, and serving as a useful checklist for authors, reviewers, and editors.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Monitoring Training Load to Understand Fatigue in Athletes

              Many athletes, coaches, and support staff are taking an increasingly scientific approach to both designing and monitoring training programs. Appropriate load monitoring can aid in determining whether an athlete is adapting to a training program and in minimizing the risk of developing non-functional overreaching, illness, and/or injury. In order to gain an understanding of the training load and its effect on the athlete, a number of potential markers are available for use. However, very few of these markers have strong scientific evidence supporting their use, and there is yet to be a single, definitive marker described in the literature. Research has investigated a number of external load quantifying and monitoring tools, such as power output measuring devices, time-motion analysis, as well as internal load unit measures, including perception of effort, heart rate, blood lactate, and training impulse. Dissociation between external and internal load units may reveal the state of fatigue of an athlete. Other monitoring tools used by high-performance programs include heart rate recovery, neuromuscular function, biochemical/hormonal/immunological assessments, questionnaires and diaries, psychomotor speed, and sleep quality and quantity. The monitoring approach taken with athletes may depend on whether the athlete is engaging in individual or team sport activity; however, the importance of individualization of load monitoring cannot be over emphasized. Detecting meaningful changes with scientific and statistical approaches can provide confidence and certainty when implementing change. Appropriate monitoring of training load can provide important information to athletes and coaches; however, monitoring systems should be intuitive, provide efficient data analysis and interpretation, and enable efficient reporting of simple, yet scientifically valid, feedback.
                Bookmark

                Author and article information

                Journal
                jpe
                Journal of Physical Education
                J. Phys. Educ.
                Universidade Estadual de Maringá (Maringá, PR, Brazil )
                2448-2455
                2022
                : 33
                : e3318
                Affiliations
                [2] Almería AL orgnameUniversity of Almería Spain
                [1] João Pessoa PB orgnameFederal University of Paraíba Brazil
                [3] Caracas orgnameVenezuelan Volleyball Federation Venezuela
                Article
                S2448-24552022000100215 S2448-2455(22)03300000215
                10.4025/jphyseduc.v33i1.3318
                bcd1140c-9726-4f85-bb33-d271eb723081

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 30 November 2021
                : 23 November 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 18, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                Jovens atletas,Demanda do jogo,Análise de jogo,Esporte de areia,Tempo-movimento,Match demands,Match analysis,Sand sport,Young athletes,Time-movement

                Comments

                Comment on this article