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Changes in Aerobic and Anaerobic Power Indices in Elite Handball Players Following a 4-Week General Fitness Mesocycle

100%
Boraczyński T., Urniaż J.
Journal of Human Kinetics
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2008
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vol. 19
131-140
EN
The aim of this study was to evaluate the effects of a 4-week training programme during the first phase of the preparation period on selected indices of somatic structure as well as aerobic and anaerobic power in elite handball players. Nine handball players from a first league team took part in the study; their average age was 25.5±3.7 years, body mass 86.5±7.6 kg (I session) and 87.9±7.3 kg (II session) (p<0.01), lean body mass - 74.4±6.6 kg (I) and 76.2± 6.2 kg (II) (p<0.01), body fat mass 12.1±3.1 kg (I) and 11.7±3.1 kg (II) respectively. Two evaluations were conducted - the first at the end of the season, the second at the initial phase of the preparation period. The second phase was preceded by a 4- week period of general endurance and strength training. Aerobic fitness was assessed indirectly, taking into account the results of the PWC170 test. The absolute and relative values of the PWC170 index increased significantly from 236.6 W to 269 W (p<0.01) and from 2.73 W/kg to 3.06 W/kg (p<0.01). The values of maximum oxygen uptake - VO2max were significantly improved from 3.65 l/min to 3.98 l/min (p<0.01) and from 42.3 ml/kg/min to 45.4 ml/kg/min (p<0.05). Anaerobic fitness was assessed using the 30-second Wingate test. A statistically significant improvement of the basic indices of aerobic fitness following the 4-week training programme proved its high effectiveness. Maintaining the level of the basic indices of anaerobic power despite the absence of specific training loads, seems to corroborate the strong effect of genetic factors on the level of anaerobic fitness and the effectiveness of strength training programs.
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Tracking Changes in Maximal Oxygen Consumption with the Heart Rate Index in Female Collegiate Soccer Players

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Esco M. R., Snarr R. L., Flatt A., Leatherwood M., Whittaker A.
Journal of Human Kinetics
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2014
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vol. 42
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issue 1
103-111
EN
The purpose of this study was to determine if the HRindex Method (VO2max = [6 x HRindex - 5] x 3.5, where HRindex = HRmax/HRrest) was accurate for tracking changes in VO2max following 8-weeks of endurance training among collegiate female soccer players. Predicted VO2max via the HRindex Method and observed VO2max from a maximal exercise test on a treadmill were determined for a group of female soccer athletes (n = 15) before and following an 8-week endurance training protocol. The predicted (pVO2max) and observed (aVO2max) values were compared at baseline and within 1-week post-training. Change values (i.e., the difference between pre to post) for each variable were also determined and compared. There was a significant difference between aVO2max before (43.2 ± 2.8 ml.kg.min-1) and following (46.2 ± 2.1 ml.kg.min-1) the 8-week training program (p < 0.05). However, pVO2max did not significantly change following training (pre = 43.4 ± 4.6 ml.kg.min-1, post = 42.9 ± 4.1 ml.kg.min-1, p = 0.53). Furthermore, the correlation between the change in aVO2max and the change in pVO2max was trivial and non-significant (r = 0.30, p = 0.28). The HRindex Method does not appear to be suitable for predicting changes in VO2max following 8-weeks of endurance training in female collegiate soccer players
3
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Differences in Physiological Influences on Heart Rate Recovery between Trained and Untrained Adults

100%
Bunn J. A., Wells E. K., Avery M. L., Manor J. P.
Central European Journal of Sport Sciences and Medicine
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2018
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vol. 22
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issue 2
13-21
EN
The purpose of this study was to evaluate differences in heart rate recovery (HRr) in trained and untrained adults, while assessing the role of physiological and emotional factors. Eighteen untrained and 21 trained participants completed a maximal exercise test and a 20-min treadmill exercise at 55–70% heart rate reserve, and emotional state was assessed prior to exercise. Multiple regression was used to assess relationships between heart rate recovery and physiological and emotional assessments. The trained group had a higher relative maximal oxygen consumption (p < 0.001), lower resting heart rate (p < 0.001), and faster short- and long-term heart rate recovery (p < 0.05) than the untrained group. Resting heart rate was the most predictive measure with HRr for the trained group (R = 0.551–0.818), whereas resting heart rate, maximal heart rate, and fitness were predictors of recovery in the untrained group (R = 0.764–0.977). The results show the predominant parasympathetic influence on HRr in the trained group, but indicates influence of fitness and exercise intensity on recovery in the untrained group. Thus, fitness appears to influence HRr in those only with low fitness. This notion may help influence the behavior of untrained individuals to improve fitness to reduce risk of mortality and morbidity.
4
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Eight-Week Zumba Training for Women in the New Normal Period

88%
Utamayasa I. G. D., Hanafi M., Rosmi Y. F., Mardhika R., - S.
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vol. 43
45-51
EN
Zumba shares similarities with other aerobic exercises such as dancing and cycling, as it enhances cardiovascular health and facilitates calorie burning. However, what distinguishes Zumba is its emphasis on enjoyment and the incorporation of dance movements from various music genres. This form of aerobic exercise involves sustained moderate to high-intensity activity without excessive fatigue. It strengthens the heart muscle and promotes efficient blood circulation. Furthermore, aerobics can effectively reduce blood pressure in individuals with hypertension. This positive effect is attributed to the improvement of blood vessel function, facilitating better blood flow and alleviating strain on the heart. Regular aerobic exercise also contributes to weight loss, which further aids in lowering blood pressure. Nevertheless, the impact of Zumba on VO2 max ability remains to be explored. In this study, a pre-experimental design was employed, involving one-hour Zumba sessions conducted over eight weeks, comprising approximately 12 tracks prepared by the instructor. The study sample consisted of 30 participants engaged in Zumba classes. Prior to Zumba, the Jackson non-exercise test formula was employed to assess VO2 max fitness. Post-Zumba, the 1-mile jog test formula was utilized to measure VO2 max fitness. The study findings indicate a significant increase in the mean VO2max value after treatment, compared to the lower mean value observed before treatment. Specifically, the mean value of VO2max increased from 38.46 ml/kg/minute before treatment to 47.83 ml/kg/minute after treatment. These results suggest that Zumba exercise enhances aerobic fitness by positively impacting cardiovascular biological mechanisms in young women during the transition to the new normal period.
5
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Relationship Between Repeated Sprint Performance and both Aerobic and Anaerobic Fitness

88%
Dardouri W., Selmi M. A., Sassi R. H., Gharbi Z., Rebhi A., Yahmed M. H., Moalla W.
Journal of Human Kinetics
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2014
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vol. 40
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issue 1
139-148
EN
The aims of this study were firstly, to examine the relationship between repeated sprint performance indices and anaerobic speed reserve (AnSR), aerobic fitness and anaerobic power and secondly, to identify the best predictors of sprinting ability among these parameters. Twenty nine subjects (age: 22.5 ± 1.6 years, body height: 1.8 ± 0.1 m, body mass: 68.8 ± 8.5 kg, body mass index (BMI): 22.2 ± 2.1 kg•m-2, fat mass: 11.3 ± 2.9 %) participated in this study. All participants performed a 30 m sprint test (T30) from which we calculated the maximal anaerobic speed (MAnS), vertical and horizontal jumps, 20m multi-stage shuttle run test (MSRT) and repeated sprint test (10 x 15 m shuttle run). AnSR was calculated as the difference between MAnS and the maximal speed reached in the MSRT. Blood lactate sampling was performed 3 min after the RSA protocol. There was no significant correlation between repeated sprint indices (total time (TT); peak time (PT), fatigue index (FI)) and both estimated VO2max and vertical jump performance). TT and PT were significantly correlated with T30 (r=0.63, p=0.001 and r=0.62, p=0.001; respectively), horizontal jump performance (r = -0.47, p = 0.001 and r = -0.49, p = 0.006; respectively) and AnSR (r=-0.68, p= 0.001 and r=-0.70, p=0.001, respectively). Significant correlations were found between blood lactate concentration and TT, PT, and AnSR (r=-0.44, p=0.017; r=-0.43, p=0.018 and r=0.44, p=0.016; respectively). Stepwise multiple regression analyses demonstrated that AnSR was the only significant predictor of the TT and PT, explaining 47% and 50% of the shared variance, respectively. Our findings are of particular interest for coaches and fitness trainers in order to predict repeated sprint performance by using AnSR that can easily identify the respective upper performance limits supported by aerobic and anaerobic power of a player involved in multi-sprint team sports.
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