[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.0b013e31828cb1e8]Search 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.2015.00295]Open 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, 1116-1121.10.1249/00005768-199409000-00008]Search 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), 587-605.10.2165/11631910-000000000-00000]Search 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:10.15561/20755279.2016.0403.10.15561/20755279.2016.0403]Search 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.1997.83.5.1581]Search 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), 542-552.10.1080/02701367.1980.10608077]Search 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), 52-63.10.1080/00913847.1983.11708602]Search 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-W]Search 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.0b013e31821ece1221681120]Search 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/87.2.33218258622]Search in Google Scholar
[20. Busing K., West C. (2016). Determining the relationships between physical fitness, gender, and life satisfaction. SAGE Open 1-5. DOI: 10.1177/215824401666997410.1177/2158244016669974]Open 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), 315-321.10.5604/20831862.1133936]Search 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-2012-0459]Search 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/v10038-011-0029-3]Search 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/v10038-008-0024-5]Search 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.2007.01.008]Search 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.1219]Search 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), 260-282.10.1037/0033-2909.98.2.260]Search 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, 198-205.10.1080/02701367.1982.10609340]Search 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, 522-530.10.1016/j.sbspro.2015.08.181]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:10.15561/20755279.2018.0202.10.15561/20755279.2018.0202]Search 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:10.15561/20755279.2017.050510.15561/20755279.2017.0505]Search in Google Scholar