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      Functional Movement Screen evaluation: comparison between elite and non-elite young swimmers Translated title: Evaluación Functional Movement Screen: comparación entre nadadores jóvenes de élite y no élite Translated title: Evaluación Functional Movement Screen: comparación entre nadadores jóvenes de élite y no élite

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          Abstract

          ABSTRACT Functional Movement Screen (FMS) allows to assess athlete's movement functionality. Movement funcionality in young elite and non-elite swimmers may predict future performance. The purpose of this study is to compare FMS scores between young elite and non-elite swimmers, and to verify their relationship with 100m freestyle performance. Thirty-two elite swimmers (age: 14.99 ± 0.13 years old; height: 1.71 ± 0.02 m; body mass: 61.28 ± 1.27 kg; Fédération Internationale de Natation [FINA] points: 651.59 ± 6.44) and 17 non-elite swimmers (age: 14.65 ± 0.19 years old; height: 165.12 ± 2.03 cm; body mass: 57.22 ± 2.43 kg; FINA points: 405.71 ± 21.41) volunteered to participate in this cross-sectional study. Individual-test FMS scores, FMS composite score and FINA points were considered for analysis. Elite swimmers achieved higher Deep Squat (p = 0.005; ES = 0.99), Right Hurdle Step (p = 0.005; ES = 0.99), Left Hurdle Step (p = 0.002; ES = 1.08), Trunk Stability Push Up (p < 0.001; ES = 1.44) and FMS composite (p < 0.001; ES = 1.35) scores compared to non-elite swimmers. FMS composite scores were positively related with 100m freestyle performance (r = 0.596, r2 = 40.9%, p < 0.001). Young non-elite swimmers reveal functional deficits in tasks involving mobility of the hips, knees and ankles, and stabilization of the core and spine. Higher movement functionality is positively related with 100m freestyle performance. Swimming coaches should consider these deficits and their relationship with performance to differentiate exercise prescription between this populations.

          Translated abstract

          RESUMEN O Functional Movement Screen (FMS) permite avaliar a funcionalidade do movimento em atletas. A funcionalidade do movimento em jovens nadadores de elite e não-elite pode prever o desempenho futuro. O objetivo deste estudo é comparar os scores do FMS entre jovens nadadores de elite e não-elite e verificar sua relação com o desempenho de 100m no estilo livre. Trinta e dois nadadores de elite (idade: 14,99 ± 0,13 anos; altura: 1,71 ± 0,02 m; massa corporal: 61,28 ± 1,27 kg; Fédération Internationale de Natation [FINA] pontos: 651,59 ± 6,44) e 17 nadadores não-elite (idade: 14,65 ± 0,19 anos; altura: 165,12 ± 2,03 cm; massa corporal: 57,22 ± 2,43 kg; pontos FINA: 405,71 ± 21,41) que se voluntariaram para participar neste estudo transversal. Scores FMS de teste individual, scores compostos FMS e pontos FINA foram considerados para análise. Nadadores de elite alcançaram valores mais elevados no Deep Squat (p = 0,005; ES = 0,99), Right Hurdle Step (p = 0,005; ES = 0,99), Left Hurdle Step (p = 0,002; ES = 1,08), Trunk Stability Push Up (p < 0,001); ES = 1,44) e FMS compostos (p < 0,001; ES = 1,35) em comparação com nadadores não elite. Os scores compostos do FMS foram positivamente relacionados com o desempenho de 100m no estilo livre (r = 0,596, r2 = 40,9%, p < 0,001). Jovens nadadores do grupo não-elite revelam défices funcionais em tarefas que envolvem mobilidade das ancas, joelhos e tornozelos e estabilização do núcleo e da coluna. A maior funcionalidade de movimento está positivamente relacionada ao desempenho de 100m estilo livre. Os treinadores de natação devem considerar esses défices e sua relação com o desempenho para diferenciar a prescrição de exercícios entre essas populações.

          Translated abstract

          RESUMO O Functional Movement Screen (FMS) permite avaliar a funcionalidade do movimento em atletas. A funcionalidade do movimento em jovens nadadores de elite e não-elite pode prever o desempenho futuro. O objetivo deste estudo é comparar os scores do FMS entre jovens nadadores de elite e não-elite e verificar sua relação com o desempenho de 100m no estilo livre. Trinta e dois nadadores de elite (idade: 14,99 ± 0,13 anos; altura: 1,71 ± 0,02 m; massa corporal: 61,28 ± 1,27 kg; Fédération Internationale de Natation [FINA] pontos: 651,59 ± 6,44) e 17 nadadores não-elite (idade: 14,65 ± 0,19 anos; altura: 165,12 ± 2,03 cm; massa corporal: 57,22 ± 2,43 kg; pontos FINA: 405,71 ± 21,41) que se voluntariaram para participar neste estudo transversal. Scores FMS de teste individual, scores compostos FMS e pontos FINA foram considerados para análise. Nadadores de elite alcançaram valores mais elevados no Deep Squat (p = 0,005; ES = 0,99), Right Hurdle Step (p = 0,005; ES = 0,99), Left Hurdle Step (p = 0,002; ES = 1,08), Trunk Stability Push Up (p < 0,001); ES = 1,44) e FMS compostos (p < 0,001; ES = 1,35) em comparação com nadadores não elite. Os scores compostos do FMS foram positivamente relacionados com o desempenho de 100m no estilo livre (r = 0,596, r2 = 40,9%, p < 0,001). Jovens nadadores do grupo não-elite revelam défices funcionais em tarefas que envolvem mobilidade das ancas, joelhos e tornozelos e estabilização do núcleo e da coluna. A maior funcionalidade de movimento está positivamente relacionada ao desempenho de 100m estilo livre. Os treinadores de natação devem considerar esses défices e sua relação com o desempenho para diferenciar a prescrição de exercícios entre essas populações.

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          Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

          Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes highlight their importance to communicate the practical significance of results. For scientists themselves, effect sizes are most useful because they facilitate cumulative science. Effect sizes can be used to determine the sample size for follow-up studies, or examining effects across studies. This article aims to provide a practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses. Whereas many articles about effect sizes focus on between-subjects designs and address within-subjects designs only briefly, I provide a detailed overview of the similarities and differences between within- and between-subjects designs. I suggest that some research questions in experimental psychology examine inherently intra-individual effects, which makes effect sizes that incorporate the correlation between measures the best summary of the results. Finally, a supplementary spreadsheet is provided to make it as easy as possible for researchers to incorporate effect size calculations into their workflow.
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            Interrater reliability of the functional movement screen.

            The Functional Movement Screen (FMS) is a series of 7 tests that categorize fundamental movement. Each test is scored on an ordinal scale with 4 categories. The purpose of this study was to determine the interrater reliability of the FMS. Forty healthy subjects were videotaped while performing the FMS. The videos were independently scored by 4 raters, including 2 experts who instruct FMS training courses and 2 novices who completed a standardized training course on the FMS. Interrater reliability was analyzed using the weighted kappa statistic. The novice raters demonstrated excellent or substantial agreement on 14 of the 17 tests, whereas the expert raters did the same on 13 of the 17 tests. When the novice raters were paired with the expert raters, all 17 components demonstrated excellent or substantial agreement. These data indicate that the FMS can confidently be applied by trained individuals. This would suggest that the FMS can be confidently used to assess the movement patterns of athletes and to make decisions related to interventions for performance enhancement, and the FMS may assist in identifying athletes at risk for injury.
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              The Functional Movement Screen: a reliability study.

              Reliability study. To determine intrarater test-retest and interrater reliability of the Functional Movement Screen (FMS) among novice raters. The FMS is used by various examiners to assess movement and predict time-loss injuries in diverse populations (eg, youth to professional athletes, firefighters, military service members) of active participants. Unfortunately, critical analysis of the reliability of the FMS is currently limited to 1 sample of active college-age participants. Sixty-four active-duty service members (mean ± SD age, 25.2 ± 3.8 years; body mass index, 25.1 ± 3.1 kg/m2) without a history of injury were enrolled. Participants completed the 7 component tests of the FMS in a counterbalanced order. Each component test was scored on an ordinal scale (0 to 3 points), resulting in a composite score ranging from 0 to 21 points. Intrarater test-retest reliability was assessed between baseline scores and those obtained with repeated testing performed 48 to 72 hours later. Interrater reliability was based on the assessment from 2 raters, selected from a pool of 8 novice raters, who assessed the same movements on day 2 simultaneously. Descriptive statistics, weighted kappa (κw), and percent agreement were calculated on component scores. Intraclass correlation coefficients (ICCs), standard error of the measurement, minimal detectable change (MDC95), and associated 95% confidence intervals (CIs) were calculated on composite scores. The average ± SD score on the FMS was 15.7 ± 0.2 points, with 15.6% (n = 10) of the participants scoring less than or equal to 14 points, the recommended cutoff for predicting time-loss injuries. The intrarater test-retest and interrater reliability of the FMS composite score resulted in an ICC3,1 of 0.76 (95% CI: 0.63, 0.85) and an ICC2,1 of 0.74 (95% CI: 0.60, 0.83), respectively. The standard error of the measurement of the composite test was within 1 point, and the MDC95 values were 2.1 and 2.5 points on the 21-point scale for interrater and intrarater reliability, respectively. The interrater agreement of the component scores ranged from moderate to excellent (κw = 0.45-0.82). Among novice raters, the FMS composite score demonstrated moderate to good interrater and intrarater reliability, with acceptable levels of measurement error. The measures of reliability and measurement error were similar for both intrarater reliability that repeated the assessment of the movement patterns over a 48-to-72-hour period and interrater reliability that had 2 raters assess the same movement pattern simultaneously. The interrater agreement of the FMS component scores was good to excellent for the push-up, quadruped, shoulder mobility, straight leg raise, squat, hurdle, and lunge. Only 15.6% (n = 10) of the participants were identified to be at risk for injury based on previously published cutoff values.
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                Author and article information

                Journal
                cpd
                Cuadernos de Psicología del Deporte
                CPD
                Universidad de Murcia (Murcia, Región de Murcia, Spain )
                1578-8423
                1989-5879
                August 2021
                : 21
                : 2
                : 163-173
                Affiliations
                [4] Castelo Branco orgnameInstituto Politécnico de Castelo Branco orgdiv1Sport, Health & Exercise Research Unit (SHERU) Portugal
                [3] Castelo Branco orgnameInstituto Politécnico de Castelo Branco orgdiv1Department of Sports and Well-being Portugal
                [2] Covilhã orgnameResearch Center in Sport Sciences orgdiv1Health Sciences and Human Development (CIDESD) Portugal
                [1] Covilhã orgnameUniversidade da Beira Interior orgdiv1Department of Sport Sciences Portugal
                Article
                S1578-84232021000200014 S1578-8423(21)02100200014
                525d6239-01cb-4dd3-873c-d4fc6adc2d31

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 International License.

                History
                : 27 July 2020
                : 16 February 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 39, Pages: 11
                Product

                SciELO Spain


                Performance funcional,Rastreio de movimento,Nadadores competitivos,Desempenho na Natação,Young Swimmers,Movement Screen,Competitive Swimmers,Functional Performance,Swimming Performance,Jóvenes nadadores,Pantalla de movimiento,Rendimiento funcional,Rendimiento de natación,Nadadores jovens

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