Sport Physiology

Sport Physiology

Preparation and Description of Physical Fitness Normative Data of Men Aged 18-60 Years Old in Kerman City

Document Type : Research Paper

Authors
Daruosh Moflehi 1
yaser Firozi 2
Soheil Zandi 2
Mehdi Abbaspoor 3
Roholla Nikooie 3
1 Faculty member of Shahid Bahonar University of Kerman
2 Physical education and sport science of Shahid Bahonar University of Kerman
3 Faculty member of physical education and sport science of Shahid Bahonar University of Kerman
10.22089/spj.2022.12041.2175
Abstract
Abstract
The purpose the current study was to prepare of physical fitness factors normative data of 18-60 years old male in Kerman city. 363 men selected with cluster sampling method based on questionnaire physical activity, and were divided in 4 groups: (18 – 29 years old), (30 – 39 years old), (40 – 49 years old), (50 – 60 years old). Height, weight, waist and hip circumferences, skin fold 3 thickness was assessed, then flexibility (sit and reach test), muscle strength (dynamometer), abdominal muscle endurance (sit up test), pectoral muscle endurance (push up test) and aerobic power (queen step test) was assessed. To make normative data used 10, 30, 70 and 90 percentile points. In retrogressive data, less than 10 percentage point as very good, since 10 to 30 percentage point is good, since 30 to 70 percentage point average, since 70 to 90 percentage point weak and above 90 percentage point, very weak. In progressive data, above 90 percentile point as very good, since 70 to 90 percentage point as good, since 30 to 70 percentage point average, since 10 and 30 percentage point as weak and less than 10 percentage point as very weak was considered. The results showed that fat percentage was higher than ACSM in all age groups, the flexibility and strength were lower, and the endurance pectorals muscles was similar to that of the ACSM. It is suggested that more studies be done according to the current situation.
Keywords
physical fitness factors
normative data
men
  1. Fazel Nagafabadi F, Zolaktaf V, Behadoran P. The effect of exercise program on physical fitness factors. J Olympic Novin. 2014; 64:71-82. (In Persian).
  2. Hoseini kakhk A, Safari M, Hamedi M. physica fitness related health in teenager Boy of Sabzvar City. J medical science of Sabzevar University. 2010; 18:55-66. (In Persian).
  3. Grissom JB. Physical fitness and academic achievement. Journal of Exercise Physiology. 2005;8)1(:11– 25.
  4. Boreham C, Twisk J, Neville M, Murray A, Gallagher A. Association between physical fitness and activity pattern during adolescence and cardiovascular risk factors young adulthood. J Sport Med .2002;23(1):22–6.
  5. Shvartz E, Reibold R. Airobic fitness norm for males and females aged 6 to 75 years. Aviation Space and Environmental Medicine. 1990; 61(1):3-11.
  6. Khorshidi D, Bageri GH, Izadi M. Evaluation motor ability and prepration normative data for male student in Islamic Azad University of Saveh. Physical Education Research. 2007; 1:38-44. (In Persian).
  7. Minasyan V, Mhebi H, Marandi SM, Hasani O. Cmpilation physical fitness normative data for 18-60 years old men in Esfahan city. J Exercise Physiology. 2019; 38:17-36. (In Persian).
  8. Kashef M, Nazarian A. Evauation and prepration normative data of Shahid Rajaee University students. J Teach and Physical Education. 2013; 1:29-38. (In Persian).
  9. Kordi M, Safarkohneh A, rahnema H, sharbati M, ziaeian A. Cmpilation and update physical fitness related health normative data for 18-60 years old men in tehran city. Exercise Physiology. 2020; 43:105-122. (In Persian).
  10. Sfari Torbati E, Mohebi H, Rohani H, Jorbinian A. Health related fitness norms in men aged 18-60 years old in Rasht city. Exercise Physiology. 2021; 50:59-86. (In Persian).
  11. Li F, Wilkens LR, Novotny R, Fialkowski MK, Paulino YC, Nelson R, et al. Anthropometric measurement standardization in the us‐affiliated pacific: report from the children's healthy living program. J Hum Biol. 2016;28(3):364-71.
  12. Meeuwsen S, Horgan G, Elia M. The relationship between bmi and percent body fat, measured by bioelectrical impedance, in a large adult sample is curvilinear and influenced by age and sex. Clinical Nutrition. 2010;29(5):560-6.
  13. Ortega FB, Sui X, Lavie CJ, Blair SN, editors. Body mass index, the most widely used but also widely criticized index: would a criterion standard measure of total body fat be a better predictor of cardiovascular disease mortality? Mayo Clin Proc. 2016;91(4):443-55.
  14. Victora CG, Villar J, Barros FC, Ismail LC, Chumlea C, Papageorghiou AT, et al. Anthropometric characterization of impaired fetal growth: Risk factors for and prognosis of newborns with stunting or wasting. J Ama Pediatr. 2015;169(7): e151431.
  15. Howley ET, Thompson D. Fitness professional's handbook. 7th Champaign: Human Kinetics. 2016, pp. 131-213.
  16. Paul T, Ross A, Deborah R, Pescatello L. ACSM’s new preparticipation health screening recommendations from ACSM’s guidelines for exercise testing and Prescription. Current Sports Medicine Reports. 2013;12(4):215–7.
  17. Hui Ss, Yuen Py. Validity of the Modified Back-Saver Sit-And-Reach Test: a comparison with other protocols. Medicine and Science in Sports and Exercise. 2000; 32(9): 1655-9.
  18. Richard M, Karabenick Stuart A, Meisels M. Effects of age and sex on the development of personal space schemata towards body build‏. The Journal of Genetic Psychology. 1975;127(1):91-101.
  19. Ahmadi N. The muscle skeletal aging process and physical fitness role. J Neshat Sport. 2008;6(11):27-32. (In Persian).
  20. Heyward Vivan H. Advanced fitness assessment exercise prescription. 3rd Champaign: Human Kinetics; 1997.
  21. Esmaeili MR. General principles or physical activity. Tehran: Danesh Afroz; 2005. (In Persian).
  22. Moeini Z, Rahmaninia F, Rejebi H, Aghaalinejad H, Salami F. Exercise physiology and physical activity. Tehran: Mobtekeran Publication; 2004, p. 2. (In Persian).
Sport Physiology
Volume 15, Issue 57
Spring 2023
Pages 17-42

  • Receive Date 02 January 2022
  • Revise Date 22 May 2022
  • Accept Date 23 May 2022