scholarly journals The Relationship Between Football Participation Level and Lower Leg Alignment in Youth Males: Genu Varum

2019 ◽  
Vol 7 (2) ◽  
pp. 137 ◽  
Author(s):  
Tuba Melekoğlu ◽  
Ali Işın

The aim of this study was to determine the effects of football participation levels on genu varum ratings by using Q angle and intercondylar distance. Twenty male football players for each elite and amateur football teams and 20 sedentary young male volunteers participated in this study. The anthropometric variables (body height, body weight, body fat percentage, body mass index) and genu varum levels by evaluating the lower extremity alignment using intercondylar distance, and Q angles for both legs were measured. The intercondylar distance measurements were done by using caliper with the sensitivity of 0.01 mm and Q angle measurements were carried out by the examination of the photographs of participants. One Way ANOVA and post-hoc Tukey test were used to assess statistically intra-group differences. Cohen's Kappa coefficient were used to determine agreement among observers. SPSS v.25 program was used to analyse the data. Intercondylar distance values were found significantly higher in elite group than in amateur and sedentary groups (45.65 ± 13.54; 28.84 ± 14.61; 3.70 ± 5.19 mm, respectively, p<0.001). As a result of this study, it was determined that the participation level of football trainings lead an increase in intercondylar distance significantly. The highest Q-angle values were observed in amateur football players.

2020 ◽  
Vol 12 (21) ◽  
pp. 8786
Author(s):  
Seoungki Kang ◽  
Jeong-Hui Park ◽  
Myong-Won Seo ◽  
Hyun Chul Jung ◽  
Yong Ik Kim ◽  
...  

BodyMetrix™ BX-2000 (IntelaMetrix, Livermore, CA, USA) has been introduced as one of the alternatives and portable methods to estimate body fat percentage. However, inconsistent results between protocols built-in the BodymetrixTM may be compelling the question of its validity. Thus, this study first investigated the possible errors between protocols and evaluated the validity of body fat percentage (BF%) compared to the gold standard method (dual-energy X-ray absorptiometry, DEXA). One hundred and five collegiate males, aged 20.01 ± 2.11 years, body height, 174.81 ± 6.01 cm, body mass, 73.26 ± 13.60 kg, and body mass index, 23.91 ± 3.77 kg·m−2 participated in the present study. Participants’ body fat percentage was estimated by built-in nine different protocols in the BodyMetrix™ BX-2000 using A-MODE ultrasound. Pearson correlation (r), Mean absolute percentage errors (MAPEs), Bland & Altman plots, and Equivalence testing were used to examine the validity of each protocol by comparing it to the criterion measure (i.e., DEXA). The results indicated good potential for almost all of the protocols in correlation (Min: r = 0.79, Max: r = 0.92)., MAPEs (Min: 20.0%, Max: 33.8%), and Bland-Altman (Min diff: 16.7, Max diff: 41.4). Particularly, the estimated BF% from protocol 7 (4-sites by Durnin & Wormersley) and protocol 9 (9-sites Parllo) were completed within the equivalence zone (±10% of the mean). The estimates measured by protocol 7 and protocol 9 identified as the most valid methods for estimating BF% using a BodyMetrix™ BX-2000, compared to the DEXA. Our findings provide valuable information when applying in young male individuals, but future studies with other populations such as female or adolescents may be required to suggest a valid protocol within the instrument.


2014 ◽  
Vol 40 (1) ◽  
pp. 189-199 ◽  
Author(s):  
Carlos Lago-Peñas ◽  
Ezequiel Rey ◽  
Luis Casáis ◽  
Maite Gómez-López

Abstract The purpose of this study was to establish the anthropometric and physical profiles of elite young soccer players according to their playing position, and to determine their relevance for the selection process. One hundred and fifty-six young male soccer players participated in the study. Players were classified into the following groups: Goalkeepers (n=16), Central Defenders (n=26), External Defenders (n=29), Central Midfielders (n=34), External Midfielders (n=28), and Forwards (n=23). Anthropometric variables of participants (body height, body mass, body mass index, 6 skinfolds, 4 diameters, and 3 perimeters) were measured. Participants performed the Yo-Yo test, sprint tests (30 m flat sprint and Balsom agility test) and 2 jump tests (countermovement jump and the Abalakov test). At the end of the season, the technical staff of the club selected some of the players to continue playing on the same team and the rest were not selected. The results show that heavier and taller outfield players performed better in vertical jumps and sprint tests, whereas leaner outfield players performed better in the Yo-Yo test. Fat percentage of selected players was lower than that of the non-selected ones. The rest of the body components were similar in the selected and non-selected players within each playing position. Moreover, the selected players performed slightly better than the non-selected players in the physical test, but these differences were not statistically significant.


2020 ◽  
Vol 30 (7) ◽  
pp. 1221-1231 ◽  
Author(s):  
Pim Klij ◽  
Abida Z. Ginai ◽  
Marinus P. Heijboer ◽  
Jan A. N. Verhaar ◽  
Jan H. Waarsing ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Hadi Nobari ◽  
Ana Ruivo Alves ◽  
Filipe Manuel Clemente ◽  
Jorge Pérez-Gómez ◽  
Cain C. T. Clark ◽  
...  

This study sought to analyze the relationship between in-season training workload with changes in aerobic power (VO2max), maximum and resting heart rate (HRmax and HRrest), linear sprint medium (LSM), and short test (LSS), in soccer players younger than 16 years (under-16 soccer players). We additionally aimed to explain changes in fitness levels during the in-season through regression models, considering accumulated load, baseline levels, and peak height velocity (PHV) as predictors. Twenty-three male sub-elite soccer players aged 15.5 ± 0.2 years (PHV: 13.6 ± 0.4 years; body height: 172.7 ± 4.2 cm; body mass: 61.3 ± 5.6 kg; body fat: 13.7% ± 3.9%; VO2max: 48.4 ± 2.6 mL⋅kg–1⋅min–1), were tested three times across the season (i.e., early-season (EaS), mid-season (MiS), and end-season (EnS) for VO2max, HRmax, LSM, and LSS. Aerobic and speed variables gradually improved over the season and had a strong association with PHV. Moreover, the HRmax demonstrated improvements from EaS to EnS; however, this was more evident in the intermediate period (from EaS to MiS) and had a strong association with VO2max. Regression analysis showed significant predictions for VO2max [F(2,20) = 8.18, p ≤ 0.001] with an R2 of 0.45. In conclusion, the meaningful variation of youth players’ fitness levels can be observed across the season, and such changes can be partially explained by the load imposed.


2020 ◽  
Vol 4 (3) ◽  
pp. 203-210
Author(s):  
Mihkel M. Laas ◽  
Matthew D. Wright ◽  
Shaun J. McLaren ◽  
Daniel L. Eaves ◽  
Guy Parkin ◽  
...  

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Gabriel Lozano-Berges ◽  
Ángel Matute-Llorente ◽  
Alejandro Gómez-Bruton ◽  
Alex González-Agüero ◽  
Germán Vicente-Rodríguez ◽  
...  

2020 ◽  
Vol 15 (4) ◽  
pp. 528-533
Author(s):  
Olfa Turki ◽  
Wissem Dhahbi ◽  
Johnny Padulo ◽  
Riadh Khalifa ◽  
Sana Ridène ◽  
...  

Purpose: To explore the immediate (15-s post-warm-up) and the delayed (after 20 and 40 min of simulated volleyball play) effects of 2 different warm-up protocols—a stretching-free volleyball warm-up (NS) and a warm-up incorporating dynamic stretching (DS)—on subsequent change of direction (COD) performance in young elite volleyball players. Methods: Sixteen male players (age 16.88 [0.34] y, body mass 75.81 [5.41] kg, body height 1.91 [0.05] m, body mass index 20.84 [1.79] kg·m−2, and body fat percentage 9.48 [1.83]%) from the U-17 national volleyball team performed NS and DS on 2 different nonconsecutive days. During each testing session (NS and DS), half T-test performance measurements were performed after 5 minutes of a general warm-up (ie, baseline), immediately post-warm-up (after 15 s), and after 20 and 40 minutes of simulated volleyball play. Results: For DS, a significant improvement in COD performance (2.08%, P < .001) was observed after 20 minutes of play compared with the baseline values. In addition, COD performance recorded after 40 minutes of play was better than after 15-second post-warm-up (5.85%, P = .001). Inferential statistics showed better COD performance in the DS condition after 20 minutes of play (2.32%, likely negative, d = 0.61). Conclusions: Compared with NS, DS tended to affect the pattern of improvement of COD performance during play by intensifying and accelerating it. Consequently, to enhance COD performance for up to 40 minutes into the game, it is recommended that DS be incorporated to the warm-up preceding the match.


Kinesiology ◽  
2020 ◽  
Vol 52 (1) ◽  
pp. 64-71
Author(s):  
Miller P. Guimarães ◽  
Yuri A.C. Campos ◽  
Hiago L.R. de Souza ◽  
Gaspar P. da Silva ◽  
Claudio Hernández-Mosqueira ◽  
...  

The study aimed to identify the effect of a neuromuscular resistance training protocol (NRTP) on the performance of 5-km distance runners. This study included 18 male runners (age=29.3±3.2 years, fat percentage=11.3±2.6%, body height=1.77±.04 m, body mass=73.4±4.4 kg, time in 5 km=20.6±2.4 min, training years=4.3±0.7 years). First, volunteers were anthropometrically evaluated, and they performed one-repetition maximum (1RM) 45º leg press (LP) strength test. Second, they performed an incremental protocol in the 45º LP to acquire the electromyographic threshold. Third, they completed a 5-km time trial run (5 km basal). In the fourth session, they performed NRTP in LP. And fifth, the 5-km time trial run was performed at 30 min, 48 h, 96 h, and 144 h post the NRTP intervention. A significant decrease (p≤.05) was observed when baseline values were compared with post 30 min and post 48 h (p=.02 and p=.04, respectively). However, there were significant positive differences in performance (p=.04 for time) when baseline values and post 144 h were analyzed. Therefore, it is concluded that the NRTP can be used by 5-km distance runners to improve their performance with a break of one week between the intervention and test.


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