Accès libre

Sex-Mediated Differences Among University Students Performing Extreme Physical Activity During the 3-Minute Burpee Test

À propos de cet article

Citez

1. Podstawski R., Markowski P., Choszcz D., Żurek P. (2016). Correlations between anthropometric indicators, heart rate and endurance-strength abilities during high-intensity exercise of young women. Archives of Budo Science of Martial Arts & Extreme Sports 12, 17-24.Search in Google Scholar

2. Podstawski R., Markowski P., Choszcz D., Klimczak J., Romero Ramos O., Merino Marban R. (2016). Methodological aspect of evaluation of the reliability the 3-Minute Burpee Test. Archives of Budo Science of Martial Arts & Extreme Sports 12, 137-144.Search in Google Scholar

3. Podstawski R., Honkanen A., Boraczyński T., Boraczyński M., Mańkowski S., Choszcz D. (2015). Physical fitness classification standards for Polish early education teachers. South African Journal for Research in Sport, Physical Education and Recreation 37(1), 113-130.Search in Google Scholar

4. Klika B., Jordan Ch. (2013). High-intensity circuit training using body weight: Maximum results with minimal investment. ACSM Health & Fitness Journal 17(3), 8-12.10.1249/FIT.0b013e31828cb1e8Search in Google Scholar

5. Stöggl ThL., Sperlich B. (2015). The training intensity distribution among well-trained and elite endurance athletes. Frontiers in Physiology 6, 295. DOI: 10.3389/fphy.2015.0029510.3389/fphy.2015.00295Open DOISearch in Google Scholar

6. Gledhill N., Cox D., Jamnik R. (1994). Endurance athletes’ stroke volume does not plateau: Major advantage is diastolic function. Medicine & Science in Sport & Exercise 26, 1116-1121.10.1249/00005768-199409000-00008Search in Google Scholar

7. Bilge M. (2013). Interval training specific to handball and training program designs. World Applied Sciences Journal 25(7), 1066-1077.Search in Google Scholar

8. Guiraud T., Gremeaux V., Juneau M., Bosqulet L. (2012). High intensity interval training in cardiac rehabilitation. Sports Medicine 42(7), 587-605.10.2165/11631910-000000000-00000Search in Google Scholar

9. Jaskólski A., Jaskólska A. (2006). The physiology of physical exertion and an outline of human physiology. Wroclaw: AWF, 479. [in Polish]Search in Google Scholar

10. Kozina Z., Iermakov S., Cretu M., Kadutskaya L., Sobyanin F. (2017). Physiological and subjective indicators of reaction to physical load of female basketball players with different game roles. Journal of Physical Education and Sport 17(1), 1428-1432. DOI:10.7752/jpes.2017.0105626.Search in Google Scholar

11. Kozina Z.L., Iermakov S.S., Kadutskaya L.A., Sobyanin F.I., Krzeminsk M., Sobko I.N. et al. (2016). Comparative characteristic of correlation between pulse subjective indicators of girl students’ and school girls’ reaction to physical load. Physical Education of Students 20(4): 24-34. DOI:10.15561/20755279.2016.0403.10.15561/20755279.2016.0403Search in Google Scholar

12. Linde R.S., Metter E.J., Lynch N.A., Fleg J.L., Fozard J.L., Tobin J. et al. (1997). Age and gender comparisons of muscle strength in 654 women and men aged 20-93 yr. Journal of Applied Physiology 83(5), 1581-1587.10.1152/jappl.1997.83.5.1581Search in Google Scholar

13. Sparling P.B. (1980). A meta-analysis of studies comparing maximal oxygen uptake in men and women. Research Quarterly for Exercise and Sport 51(3), 542-552.10.1080/02701367.1980.10608077Search in Google Scholar

14. Astrand P.T.E., Rodahl K. (1986). Textbook of work physiology. New York: McGraw-Hill.Search in Google Scholar

15. Wells C.I., Plowman S.A. (1983). Sexual differences in athletic performance: Biological or behavioral? The Physician and Sportsmedicine 11(8), 52-63.10.1080/00913847.1983.11708602Search in Google Scholar

16. Sullivan M.J., Cobb F.R., Higginbotham M.B. (1991). Stroke volume increases by similar mechanisms during upright exercise in normal men and women. American Journal of Cardiology 67, 1405-1412.10.1016/0002-9149(91)90472-WSearch in Google Scholar

17. Biernat E., Stupnicki R., Gajewski K. (2007). International Physical Activity Questionnaire (IPAQ): Polish version. Wychowanie Fizyczne i Sport 51(1), 47-54. [in Polish]Search in Google Scholar

18. Ainsworth B.E., Haskell W.L., Herrmann S.D., Meckes N., Bassett D.R.Jr., Tudor-Locke C. et al. (2011). Compendium of physical activities: A second update of codes and MET values. Medicine & Science in Sport & Exercise 43(8), 1575-1581. DOI: 10.1249/MSS.0b013e31821ece12.10.1249/MSS.0b013e31821ece1221681120Search in Google Scholar

19. Gibson A.L., Holmes J.C., Desautels R.L., Edmonds L.B., Nuudi L. (2008). Ability of new octapolar bioimpedance spectroscopy analyzers to predict 4-component-model percentage body fat in Hispanic, black, and white adults. American Journal of Clinical Nutrition 87(2), 332-338.10.1093/ajcn/87.2.33218258622Search in Google Scholar

20. Busing K., West C. (2016). Determining the relationships between physical fitness, gender, and life satisfaction. SAGE Open 1-5. DOI: 10.1177/215824401666997410.1177/2158244016669974Open DOISearch in Google Scholar

21. American College of Sports Medicine. (2013). ACSM’s guidelines for exercise testing and prescription (9th ed.). Philadelphia, PA: Lippincott Williams & Wilkins.Search in Google Scholar

22. Sakamaki T. (1983). A study of the burpee push as a simple method of measuring endurance. Nippon Ika Daigaku Zasshi 50(2), 173-190. DOI: 10.1272/jnms1923.50.173. [in Japanese]10.1272/jnms1923.50.173.[Open DOISearch in Google Scholar

23. Podstawski R., Choszcz D., Konopka S., Klimczak J., Star-czewski M. (2014). Anthropometric determinants of rowing ergometer performance in physically inactive collegiate females. Biology of Sport 31(4), 315-321.10.5604/20831862.1133936Search in Google Scholar

24. Podstawski R., Choszcz D., Siemianowska E., Skibniewska K.A. (2012). Determining the effect of selected anthropo-metric parameters on the time needed to cover 1000 m on a rowing ergometer by physically inactive young women. Isokinetics and Exercise Science 20, 1-8.10.3233/IES-2012-0459Search in Google Scholar

25. Podstawski R., Choszcz D., Konopka S. (2011). The impact of training on the 500 m rowing ergometer time and an assessment of the applied test’s relevancy. Human Movement 12(3), 264-272.10.2478/v10038-011-0029-3Search in Google Scholar

26. Choszcz D., Podstawski R., Wysocka-Welanc M. (2009). Measurement of motor fitness of students using the rowing ergometer. Human Movement 10(1), 46-52.10.2478/v10038-008-0024-5Search in Google Scholar

27. Mikulić P., Ružić L. (2008). Predicting the 1000 m rowing ergometer performance in 12-13-year-old rowers: The basis for selection process? Journal of Science in Medicine and Sport 11, 218-226.10.1016/j.jsams.2007.01.008Search in Google Scholar

28. Ruff R.M., Parker S.B. (1993). Gender and age-specific changes in motor speed and eye-hand coordination in adults: Normative values for the finger tapping and grooved pegboard tests. Perceptual Motor Skills 76, 1219-30.10.2466/pms.1993.76.3c.1219Search in Google Scholar

29. Thomas J.R., French K.E. (1985). Gender differences across age in motor performance: A meta-analysis. Psychological Bulletin 98(2), 260-282.10.1037/0033-2909.98.2.260Search in Google Scholar

30. Halverson L.E., Roberton M.A., Langerdorfer S. (1982). Development of the overarm throw: Movement and ball velocity changes by seventh grade. Research Quarterly for Exercise and Sport 53, 198-205.10.1080/02701367.1982.10609340Search in Google Scholar

31. Podstawski R., Borysławski H. (2012). Relationships between selected anthropometric features and motor abilities of children aged 7-9. Clinical Kinesiology 66(4), 82-90.Search in Google Scholar

32. Kubaisy W.Al., Mohamad M., Ismail Z., Abdullah N.N. (2015). Gender differences: Motivations for performing physical exercise among adults in Shah Alam. Procedia - Social and Behavioral Sciences 202, 522-530.Search in Google Scholar

33. Kolokoltsev M.M., Iermakov S.S., Jagiello M. (2018). Physical condition of female students with different level of body mass deficiency. Physical Education of Students 22(2), 63-69. DOI:10.15561/20755279.2018.0202.10.15561/20755279.2018.0202Search in Google Scholar

34. Kozina Zh.L., Cieslicka M., Prusik K., Muszkieta R., Sobko I.N., Ryepko O.A. et al. (2017). Algorithm of athletes’ fitness structure individual features determination with the help of multidimensional analysis (on example of basketball). Physical Education of Students 21(5), 225-38. DOI:10.15561/20755279.2017.050510.15561/20755279.2017.0505Search in Google Scholar

eISSN:
2082-8799
Langue:
Anglais
Périodicité:
4 fois par an
Sujets de la revue:
Medicine, Clinical Medicine, Public Health, Sports and Recreation, other