Relationship of body mass status with running and jumping performances in young basketball players

Nikolaidis, Pantelis Theodoros; Asadi, Abbas; Santos, Eduardo A.; Calleja-González, Julio; Padulo, Johnny; Chtourou, Hamdi; Zemková, Erika

doi:10.11138/mltj/2015.5.3.187

Cited by 30 publications

(22 citation statements)

References 36 publications

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“…Basketball is one of the most popular team sports in Europe and performance in this sport depends on a variety of physical, physiological, psychological and technical characteristics [1][2][3][4][5]. Accuracy in shooting is a technical characteristic that discriminates basketball players by competition level [6,7].…”

Section: Introductionmentioning

confidence: 99%

The acute effect of exercise intensity on free throws in young basketball players

Mokou¹,

Nikolaidis

Padulo³

et al. 2016

Sport Sci Health

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Purpose Free throws (FT) accuracy is a major determinant of performance in basketball game. However, the effect of exercise intensities on FT accuracy has not been well studied. The aim of the present study was to examine the effect of different exercise intensities on FT accuracy in young male basketball players. Methods For this aim, 22 basketball players (age 16.12 ± 1.16 years, body mass 76.4 ± 13.3 kg and height 186.4 ± 8.9 cm), classified into 2 age groups (younger 15.28 ± 0.48 years, n = 11; older 16.97 ± 1.00 years, n = 11). The participants performed 50 FT under five conditions (i.e. 10 FT per condition): after rest (A), after 3 min shuttle running with *9 km h -1 (B), *9.5 km h -1 (C), *10 km h -1 (D) and *10.5 km h -1 (E). Results The analysis of variance showed a main effect of exercise intensity on FT accuracy (p = 0.003, g 2 = 0.585), heart rate (HR) (p \ 0.001, g 2 = 0.990) and rate of perceived exertion (RPE) (p \ 0.001, g 2 = 0.703): (a) FT accuracy in the C and D conditions was higher than the A condition (p B 0.004); (b) all conditions differed for HR (p B 0.047), the higher was the exercise intensity the higher was the HR, whereas no difference was revealed between D and E conditions; (c) the same trend as in the HR was observed in RPE (i.e. the higher the exercise intensity, the higher the RPE), too, where all conditions differed (p B 0.047), except between C and D, and between D and E conditions. Conclusions There was a significant exercise intensity 9 age interaction for RPE (p = 0.011, g 2 = 0.516), but not for FT accuracy (p = 0.336, g 2 = 0.224) or HR (p = 0.128, g 2 = 0.329). The findings of the present study showed that a minimum of exercise intensity was necessary to achieve peak FT performance and a shape of inverse U was suggested for the relationship between FT accuracy and exercise intensity.

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Section: Introductionmentioning

confidence: 99%

The acute effect of exercise intensity on free throws in young basketball players

Mokou¹,

Nikolaidis

Padulo³

et al. 2016

Sport Sci Health

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“…The importance of vertical jumping is particularly emphasized because the game is oriented around a basket that is set at a top height of 3.05 m. Players who have superior jumping capabilities are able to outperform their opponents in numerous situations requiring offensive and defensive responsibilities, such as blocking, jump shooting, and rebounding [ 6 , 7 ]. Consequently, athletes and coaches in this sport are highly interested in testing and developing vertical jumping ability [ 8 – 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Evidently, little is known about the validity of other jumping performances (i.e. running jumps, reactive jumps) and their applicability in differentiating between playing levels and between playing positions [ 7 , 8 , 13 – 15 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of different jumping tests in defining position-specific and performance-level differences in high level basketball players

Pehar

Sekulić

Sisic

et al. 2017

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The importance of jumping ability in basketball is well known, but there is an evident lack of studies that have examined different jumping testing protocols in basketball players at advanced levels. The aim of this study was to assess the applicability of different tests of jumping capacity in identifying differences between (i) playing position and (ii) competitive levels of professional players. Participants were 110 male professional basketball players (height: 194.92±8.09 cm; body mass: 89.33±10.91 kg; 21.58±3.92 years of age; Guards, 49; Forwards, 22; Centres, 39) who competed in the first (n = 58) and second division (n = 52). The variables included anthropometrics and jumping test performance. Jumping performances were evaluated by the standing broad jump (SBJ), countermovement jump (CMJ), reactive strength index (RSI), repeated reactive strength ability (RRSA) and four running vertical jumps: maximal jump with (i) take-off from the dominant leg and (ii) non-dominant leg, lay-up shot jump with take-off from the (iii) dominant leg and (iv) non-dominant leg. First-division players were taller (ES: 0.76, 95%CI: 0.35-1.16, moderate differences), heavier (0.69, 0.29-1.10), had higher maximal reach height (0.67, 0.26-1.07, moderate differences), and had lower body fat % (-0.87, -1.27-0.45, moderate differences) than second-division players. The playing positions differed significantly in three of four running jump achievements, RSI and RRSA, with Centres being least successful. The first-division players were superior to second-division players in SBJ (0.63, 0.23-1.03; 0.87, 0.26-1.43; 0.76, 0.11-1.63, all moderate differences, for total sample, Guards, and Forwards, respectively). Running vertical jumps and repeated jumping capacity can be used as valid measures of position-specific jumping ability in basketball. The differences between playing levels in vertical jumping achievement can be observed by assessing vertical jump scores together with differences in anthropometric indices between levels.

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“…In this context, regular participation of students in a sport activity might help increase PA levels and decrease body mass and body fat percentage (BF). However, a series of recent studies on the prevalence of excess body weight and obesity in various sport and age groups has revealed similar rates between athletes and non-athletes (Nikolaïdis 2012 ; Nikolaidis et al 2015 ). The above-mentioned studies clearly indicated that regular participation in a sport per se does not result in low rates of body mass and BF, and identified the need for further research in markers of excess body weight and obesity in sport groups.…”

Section: Introductionmentioning

confidence: 99%

Weekly physical activity patterns of university students: Are athletes more active than non-athletes?

et al. 2016

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The aim of the present study was to compare weekly physical activity (PA) and obesity-related markers in athlete and non-athlete university students. One hundred and twenty-six university students (53 males, 20.46 ± 2.04 years old, and 73 females, 19.69 ± 1.32 years old) participated in this study. Participants were fitted with a tri-axial accelerometer (ActiGraph wGT3X-BT, Shalimar, FL, USA) to assess the daily PA. Anthropometric measures of height, weight, BMI and %fat mass were determined with a stadiometer and an electronic scale. The comparison indicated that male and female athletes had a significant lower percentage of body fat than did non-athletes (p value = 0.001; ES = 0.043). Athletes spent significantly more time in light PA than did non-athletes (p value = 0.003; ES = 0.024). Female athletes spent significantly less time in sedentary mode than did non-athletes (p value = 0.040; ES = 0.008). On the other hand, female athletes spent significantly more time in light PA (p value = 0.003; ES = 0.017) and vigorous PA (p value = 0.001; ES = 0.086) than did non-athletes. Despite some statistical differences with minimal effect size, the results of this study suggested proximity between PA levels of athletes and non-athletes, mainly in the case of sedentary behaviour. No significant effects were found in the variances of PA tested in this study.

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Relationship of body mass status with running and jumping performances in young basketball players

Cited by 30 publications

References 36 publications

The acute effect of exercise intensity on free throws in young basketball players

The acute effect of exercise intensity on free throws in young basketball players

Evaluation of different jumping tests in defining position-specific and performance-level differences in high level basketball players

Weekly physical activity patterns of university students: Are athletes more active than non-athletes?

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