Evaluation of spirometric parameters and maximum oxygen consumption in athletes and non-athletes

Rakovac, Aleksandra; Andrić, Lana; Karan, Vedrana; Bogdan, Maja; Slavić, Danijel; Klasnja, Aleksandar

doi:10.2298/mpns1806157r

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…In this research the level was higher: 15.3 ± 2.6 in the first test, and 14.6 ± 3.0 in the second. The level was similar to young non-athletes [24] but BMI was similar to athletes. Interestingly, the parameters were much better than those obtained in [8], where body fat mass in % was 23.4 ± 7.5 in the first test (before the training program) and 23.6 ± 7.0 in the second, after a six-month triathlon training program.…”

Section: Discussionmentioning

confidence: 59%

Cardiovascular Adaptations to Four Months Training in Middle-Aged Amateur Long-Distance Skiers

Grzebisz

2020

Diagnostics

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Cross-country skiing has a positive effect on health. However, without an individual, thoughtful, and professional plan, it can cause irreversible health problems from overload and injury. The impact of exercise on results is well understood within the group of professional athletes. However, this remains unknown within the group of amateur cross-country skiers and marathon runners—in particular, the impact of the summer preparation period in which training loads performed in the oxygen zone combined with resistance training dominate. The aim of this study was to assess changes in the cardiovascular capacity and body mass composition of male cross-country skiers in the preparation period of their macrocycle. Variables were analyzed using basic descriptive statistics: mean and standard deviation (SD). To compare the results from both measurements (initial and final) the paired Wilcoxon test was used. A statistically significant increase was noted in maximum oxygen uptake and maximum minute ventilation, and a decrease in body fat content, maximum lactate concentration and lactate threshold, and heart rate on anaerobic threshold. Research indicated that in the amateur group increases similar to those in top competitors were achieved in the parameters tested, but the initial level was often significantly lower.

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Section: Discussionmentioning

confidence: 59%

Cardiovascular Adaptations to Four Months Training in Middle-Aged Amateur Long-Distance Skiers

Grzebisz

2020

Diagnostics

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“…Study from Malik et al (2017) explain the cause of the results insignificant can occur if there is possible bias of the control group where they significantly have higher BMI than with a group of aerobic athletes or anaerobic (Malik, 2017). Rakovac et al (2018) in Serbia, there is no difference in FVC values and FEV1 in the aerobics, anaerobic athlete group and non-athlete ccaused of a significant difference between anthropometric measurements in any group that make the appearance of bias (Rakovac, 2018).…”

Section: Resultsmentioning

confidence: 97%

Pulmonary Functions between Active and Passive Smoking in 18-22 Years Old Male Physical Education Students – A Descriptive Study

Hayati¹,

Rizkanto²,

Hadi³

et al. 2021

IJRP

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To assess and describe the vital capacity (VC), forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and the ratio of FEV1/FVC measurements in smoking male physical education students, ranged between 18 -22 years. Also compare the FEV1 and ratio of FEV1/FVC between active and passive smoker. A cross-sectional study was applied on male physical education students (n=30) who undergo training for 2 months and between the age range of 18-22 years old. The lung VC, FVC, FEV1, and ratio of FEV1/FVC were measured and compared between active and passive smokers. Thirty male physical education students participated in this study with the average age of 19,53 ± 0,86 years old. All participants underwent training for 2 months in Surabaya. The average BMI was 23,16 ± 4,624. The active to passive smoker ratio was 7:3, with 21 active smokers and 7 passive smokers. The results of all pulmonary function tests in passive smokers were better than in active smokers. The average of VC in passive smokers was 3,45± 0,498, slightly higher than VC in active smokers which was 3,35 ± 1,032. The FVC average in passive smoker was 3,56 ± 0,489, also higher than active smoker with 3,43 ± 0,671. The higher FEV1 mean was in passive smoker with 1,84 ± 0,856, compared to active smoker with 1,53 ± 0,595. Similar results also could be seen in FEV1/FVC ratio. The FEV1/FVC ratio average in passive smokers was 2,39 ± 5,094, higher than those in active smokers with 0,60 ± 0,205. In this study, the total participants with normal results were higher in passive smoker which was 3 (33,333%) participants, and only 1 (4,761%) in active smoker. For moderate COPD, active smoker was higher with 3 (14,286%) participants, while passive smoker with moderate COPD was 2 (22,222%) participants. The amount of severe COPD was high in active smokers with 13 (61,905%) participants, and only 1 (11,111%) in passive smokers. Meanwhile the active smoker with very severe COPD was 4 (19,047%) participants, and in the passive smoker was 3 (33,333%) very severe COPD. Active and passive smokers have an equally greater risk of lung tissue damage. Most of the free radical (OH-) in cigarette will arrive at the alveolus that can damage the lungs while smoking cigarettes in active smoker or inhale cigarette smoke in passive smoker.

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Differences in Physical Fitness and Body Composition Between Active and Sedentary Adolescents: A Systematic Review and Meta-Analysis

Mateo-Orcajada

González-Gálvez

Cano

et al. 2022

J Youth Adolescence

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Evaluation of spirometric parameters and maximum oxygen consumption in athletes and non-athletes

Cited by 3 publications

References 14 publications

Cardiovascular Adaptations to Four Months Training in Middle-Aged Amateur Long-Distance Skiers

Cardiovascular Adaptations to Four Months Training in Middle-Aged Amateur Long-Distance Skiers

Pulmonary Functions between Active and Passive Smoking in 18-22 Years Old Male Physical Education Students – A Descriptive Study

Differences in Physical Fitness and Body Composition Between Active and Sedentary Adolescents: A Systematic Review and Meta-Analysis

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