Isometric Strength in Volleyball Players of Different Age: A Multidimensional Model

Majstorović, Nikola; Dopsaj, Milivoj; Grbić, Vladimir; Savić, Zoran; Vićentijević, Aleksandar; Aničić, Zdravko; Zadražnik, Marko; Toskić, Lazar; Nešić, Goran

doi:10.3390/app10124107

Cited by 10 publications

(9 citation statements)

References 49 publications

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“…A Direct Oblimin rotation method was performed in order to identify the high correlation of components and guarantee that each principal component offered different information [ 19 ]. A criterion variable from factor analysis was used as a representation of the player’s multidimensional physical performance index (PP INDEX ) according to playing position so each player could be compared against the criterion value for their playing position [ 20 ]. Multiple regression analysis with the PP INDEX as the criterion variable and the performance test variables as predictor variables determined the unique evaluation of specific preparedness of basketball players according to playing position [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

Specific Physical Ability Prediction in Youth Basketball Players According to Playing Position

Ivanović

Kukić²,

Greco

et al. 2022

IJERPH

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This study investigated the hierarchical structure of physical characteristics in elite young (i.e., U17-U19) basketball players according to playing positions. In addition, their predictive value of physical characteristics was determined for the evaluation of players’ physical preparedness. Sixty elite male basketball players performed 13 standardized specific field tests in order to assess the explosive power of lower limbs, speed, and change-of-direction speed. They were divided into three groups according to playing positions (guard [n = 28], forward [n = 22], center [n = 10]). The basic characteristics of the tested sample were: age = 17.36 ± 1.04 years, body height = 192.80 ± 4.49 cm, body mass = 79.83 ± 6.94 kg, and basketball experience = 9.38 ± 2.10 years for guards; age = 18.00 ± 1.00 years, body height = 201.48 ± 3.14 cm, body mass = 90.93 ± 9.85 kg, and basketball experience = 9.93 ± 2.28 years for forwards; and age = 17.60 ± 1.43 years; body height = 207.20 ± 3.29 cm, body mass = 104.00 ± 9.64 kg, and basketball experience = 9.20 ± 1.62 years for centers. For all playing positions factor analysis extracted three factors, which cumulatively explained 76.87, 88.12 and 87.63% of variance, respectively. The assessed performance measures were defined as significant (p < 0.001), with regression models of physical performance index (PPINDEX). PPINDEX of guards = −6.860 + (0.932 × t-test) − (1.656 × Acceleration 15 m) − (0.020 × Countermovement jump); PPINDEX of forwards = −3.436 − (0.046 × Countermovement jump with arm swing) − (1.295 × Acceleration 15 m) + (0.582 × Control of dribbling); PPINDEX of centers = −4.126 + (0.604 × Control of dribbling) − (1.315 × Acceleration 15 m) − (0.037 × Sargent jump). A model for the evaluation of physical performance of young basketball players has been defined. In addition, this model could be used as a reference model for selection procedures, as well as to monitor the efficacy of applied training programmes within the short, medium and long-term periodization.

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Section: Methodsmentioning

confidence: 99%

Specific Physical Ability Prediction in Youth Basketball Players According to Playing Position

Ivanović

Kukić²,

Greco

et al. 2022

IJERPH

Self Cite

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“…With the help of Fisher t-to-z transformation for an independent sample, we calculated if there were statistical differences in the correlations between male and female swimmers, having the same body composition variables and criteria, i.e., performance level. We also used a mathematical modeling by means of Multivariate Regression Analysis (MRA) as a multidimensional prediction system, which helped us to define complex relations between the criteria (swimming performance and FINA Scores) and body composition variables used as predictors [ 32 , 33 ]. All statistical analysis were performed using corresponding statistical software SPSS 19.0.…”

Section: Methodsmentioning

confidence: 99%

Body Composition in International Sprint Swimmers: Are There Any Relations with Performance?

Dopsaj

Zuozienė

Milić

et al. 2020

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The paper addresses relations between the characteristics of body composition in international sprint swimmers and sprint performance. The research included 82 swimmers of international level (N = 46 male and N = 36 female athletes) from 8 countries. We measured body composition using multifrequency bioelectrical impedance methods with “InBody 720” device. In the case of male swimmers, it was established that the most important statistically significant correlation with sprint performance is seen in variables, which define the quantitative relationship between their fat and muscle with the contractile potential of the body (Protein-Fat Index, r = 0.392, p = 0.007; Index of Body Composition, r = 0.392, p = 0.007; Percent of Skeletal Muscle Mass, r = 0.392, p = 0.016). In the case of female athletes, statistically significant relations with sprint performance were established for variables that define the absolute and relative amount of a contractile component in the body, but also with the variables that define the structure of body fat characteristics (Percent of Skeletal Muscle Mass, r = 0.732, p = 0.000; Free Fat Mass, r = 0.702, p = 0.000; Fat Mass Index, r = −0.642, p = 0.000; Percent of Body Fat, r = −0.621, p = 0.000). Using Multiple Regression Analysis, we managed to predict swimming performance of sprint swimmers with the help of body composition variables, where the models defined explained 35.1 and 75.1% of the mutual variability of performance, for male and female swimmers, respectively. This data clearly demonstrate the importance of body composition control in sprint swimmers as a valuable method for monitoring the efficiency of body adaptation to training process in order to optimize competitive performance.

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“…9 In order to evaluate contractile characteristics of the PF, participants were positioned (see Figure 1) according to the testing procedure described by previous authors. 10,11,12 Variables Contractile characteristics (six) selected for examination in this research were: 1. Maximal isometric force (F max ) expressed in Newtons (N); 2.…”

Section: Testing Proceduresmentioning

confidence: 99%

Reliability of a Simple Novel Field Test for the Measurement of Plantar Flexor Muscle Strength

Majstorović

Nešić

Grbić

et al. 2021

Rev Bras Med Esporte

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Introduction When a person is in a standing position, the plantar flexor muscles are involved in most static and dynamic body movements. Objectives The aim of this study was to investigate the trial to trial and factorial reliability of measuring the contractile characteristics of PF muscles using a simple novel field test. Methods The sample consisted of 452 healthy subjects, 120 male and 332 female. The research was conducted by means of the trial to trial testing method, using isometric dynamometry performed in field conditions. ANOVA was used to estimate the differences among the trials, Cronbach’s alpha and interclass correlation to estimate the correlations among the trials, and principal component analysis to evaluate the contribution of each trial to overall variability. Results The main findings of this study are that trials differed significantly (p<0.000) for maximal force (Fmax) and maximal rate of force development (RFDmax), indicating that the three procedural trials were necessary. The trials were highly correlated (Fmax, RFDmax, r>0.9), proving that measuring was reliable, and the factorial analysis separated the second and third trials, the second trial accounting for most of the total variability. Conclusions The simple novel field test for the measurement of plantar flexor contractile characteristics recommended by this study proved to be as highly reliable as laboratory testing, but was easy to perform in conditions outside of scientific or diagnostic institutions, which greatly facilitates the work of scientists, coaches and professionals. Level of Evidence II; Diagnostic Studies – Investigating a diagnostics test.

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Isometric Strength in Volleyball Players of Different Age: A Multidimensional Model

Cited by 10 publications

References 49 publications

Specific Physical Ability Prediction in Youth Basketball Players According to Playing Position

Specific Physical Ability Prediction in Youth Basketball Players According to Playing Position

Body Composition in International Sprint Swimmers: Are There Any Relations with Performance?

Reliability of a Simple Novel Field Test for the Measurement of Plantar Flexor Muscle Strength

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