Field tests of fitness

Author(s):  
Grant R. Tomkinson ◽  
Timothy S. Olds

Chapter 9 focuses on field tests which are commonly used to estimate aerobic and anaerobic fitness in children and adolescents. The discussion will be limited to field tests requiring maximal effort, such as distance running tests of aerobic fitness and jumping and sprint running tests of anaerobic fitness (see Chapters 5 and 8 for an analysis of laboratory assessment of these variables). There will also be a discussion of secular changes in aerobic and anaerobic performance.

2020 ◽  
Vol 25 ◽  
pp. 75-87
Author(s):  
Alon Eliakim ◽  
Michal Eliakim ◽  
Michal Pantanowitz ◽  
Yoav Meckel ◽  
Dan Nemet

The present study examined whether background music improves aerobic and anaerobic performance in overweight children. Eleven participants (14.6±1.5 yrs, BMI%: 94.3±6.5) performed aerobic (20m Shuttle Run) and anaerobic (repeated sprint test – RST) field tests. Ten participants (12.0±2.1 yrs, BMI%:97.4±1.6) performed aerobic (treadmill running) and anaerobic (Wingate Anaerobic Test – WAnT) laboratory tests. Treadmill running time was significantly longer with, compared to without, music (11.9±1.5 versus 10.6±2.2 min, respectively; p<0.007). There was no significant difference in the 20m shuttle run distance with or without music. Total sprint time was significantly faster during RST with, compared to without, music (47.7±4.7 versus 48.5±5.5 s, respectively; p<0.04), with no significant difference in ideal sprint time and performance decrement. There was no significant difference in peak and mean anaerobic power and fatigue index during the WAnT with and without music. Motivational music may be used to improve aerobic and anaerobic performance among overweight children.


Author(s):  
Vicente Javier Clemente-Suárez ◽  
Juan Pedro Fuentes-García ◽  
Ricardo J. Fernandes ◽  
João Paulo Vilas-Boas

Background: The aim of the present research was to study the psychological and physiological features associated with aerobic and anaerobic performance in trained swimmers. Methods: A correlation and stepwise regression analyses were conducted with the data obtained in a RESTQ-76 sport questionnaire, a heart rate variability test, and an anaerobic and aerobic swimming performance efforts of 20 swimmers. Results: Aerobic performance correlated, principally, with parameters related to parasympathetic modulation measured in the frequency and time domains of the heart rate variability (LF/HF r: −0.806, p < 0.001; NN50 r: 0.937, p < 0.001). Swimmers’ anaerobic performance correlated to psychological features (low stress r: 0.526, p: 0.025, and high fatigue r: −0.506, p: 0.032). Conclusion: Swimming performance presented different psychological and physiological features depending on the probe characteristic. Specifically, swimmers’ anaerobic performance was associated with psychological features (low stress and high fatigue perception) and aerobic performance with physiological features (high parasympathetic modulation). This information could help coaches to know the variables to control in their swimmers, depending on the probe in which they compete (anaerobic or aerobic).


protocols.io ◽  
2021 ◽  
Author(s):  
Hossein Miraftabi ◽  
Zahra Avazpoor ◽  
Erfan Berjisian ◽  
Amir Sarshin ◽  
Sajjad Rezaei ◽  
...  

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A123-A124
Author(s):  
A B Neikrug ◽  
S Radom-Aizik ◽  
I Y Chen ◽  
A Stehli ◽  
K K Lui ◽  
...  

Abstract Introduction Aerobic fitness facilitates brain synaptic plasticity, which influences global and local sleep expression. While it is known that sleep patterns/behavior and non-rapid eye movement (NREM) sleep slow wave activity (SWA) tracks brain maturation, little is known about how aerobic fitness and sleep interact during growth and development in children and adolescents. The aim of this pilot study was to characterize relationships among aerobic fitness, measures of global/local sleep expression, and habitual sleep patterns in children and adolescents. We hypothesized that greater aerobic fitness would be associated with better sleep quality, indicated by increased SWA. Methods Twenty healthy youth (11-17 years-old, 11 female) were evaluated during summer vacation (no school schedule constraints). Aerobic fitness (VO2peak) was measured using ramp-type progressive cycle ergometry, habitual sleep (i.e., sleep-time consistency and circadian activity patterns) was assessed with 7-day actigraphy, and ad lib sleep was evaluated during overnight polysomnography (PSG) with high-density electroencephalography (hdEEG; 128 channels). Spectral analysis was implemented to quantify SWA (0.5-4.5Hz). Data were analyzed using linear regression analyses and exploratory independent samples t-tests. Results Negative correlations were observed between VO2peak and sleep measures including sleep-time consistency (partial r=-0.53, p=0.045) and timing/acrophase of the circadian activity rhythm (partial r=-0.64, p=0.01) while controlling for sex and age. Additionally, after accounting for Tanner stage and sex, data demonstrated significant effects in SWA at frontal derivations (p=0.024) between low and high fitness levels at topographically specific and meaningful EEG derivations, e.g. over frontal cortex. Conclusion These results suggest that children and adolescents with greater fitness have less variability in sleep-times (improved sleep consistency), tend to have a more advanced circadian activity phase (i.e., go to sleep earlier), and express greater frontal SWA, supporting the hypothesis that fitness is associated with improved local and global sleep quality. Future research with larger samples is necessary to further evaluate these relationships, and to determine if interventions that improve fitness also improve sleep and related brain plasticity. Support NCATS grant #UL1TR001414 & PERC Systems Biology Fund


2006 ◽  
Vol 18 (3) ◽  
pp. 314-328 ◽  
Author(s):  
Grant R. Tomkinson ◽  
Michael J. Hamlin ◽  
Timothy S. Olds

Secular changes in anaerobic fitness test performance in healthy 6- to 17-year-old Australasians were examined by meta-analysis of 232,564 power- and speed-test performances between 1960 and 2002. Overall, power-test performance improved at a rate of +0.05% [95% confidence interval (CI) = +0.01% to +0.09%] per annum, and speed at +0.04% (CI = +0.02% to +0.06%) per annum. Results indicate that anaerobic-fitness-test performances have remained relatively stable in Australasian children and adolescents in recent decades.


2012 ◽  
Vol 31 (1) ◽  
pp. 149-158 ◽  
Author(s):  
Utku Alemdaroğlu

The Relationship Between Muscle Strength, Anaerobic Performance, Agility, Sprint Ability and Vertical Jump Performance in Professional Basketball PlayersThe purpose of this study was to investigate the relationship between isokinetic knee strength, anaerobic performance, sprinting ability, agility and vertical jump performance in first division basketball players. Twelve male first division basketball players participated in this study. The mean age was 25.1 ± 1.7 yrs; mean body height 194.8 ± 5.7 cm; mean body mass 92.3± 9.8 kg; mean PBF 10.1± 5.1; and mean VO2max50.55 ± 6.7 ml/kg/min. Quadriceps and hamstrings were measured at 60° and 180°/s, anaerobic performance was evaluated using the Wingate anaerobic power test, sprint ability was determined by single sprint performance (10-30 m), jump performance was evaluated by countermovement (CMJ) and squat jump (SJ) tests and agility performance was measured using the T drill agility test. Quadriceps strength was significantly correlated with peak power at all contraction velocities. However, for mean power, significant correlation was only found between the 60° left and 180° right knee quadriceps measurements. No measure of strength was significantly related to the measurements from/results of field tests. Moreover, strong relations were found between the performance of athletes in different field tests (p< 0.05). The use of correlation analysis is the limitation of the this study.


2011 ◽  
Vol 32 (4) ◽  
pp. 423-431 ◽  
Author(s):  
Abbie E Smith ◽  
Kristina L Kendall ◽  
David H Fukuda ◽  
Joel T Cramer ◽  
Jeffrey R Stout

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