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2011 | 25 | 4 | 35-40
Tytuł artykułu

Physical activity vs. health related somatic features of middle-aged and elderly people

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Intoduction: The aim of the thesis was to research the influence of level and frequency of the taken activity on health related somatic features of middle-aged and elderly women. Materials and methods: The research was carried out among 80 women aged 46-81, who were auditors of the Universities of the Third Age in Katowice and Chorzów. The analysis of body composition has been made with the method of bioelectrical impedance analysis, using the Inbody 720 device. As health related somatic features, the following parameters have been found: (BMI- kg/m2) - body mass index, (BFMI- kg/m2) - body fat mass index, (FFMI- kg/m2) - fat-free mass index, (WHR) - waist-hip ratio and (VFA-cm2) visceral fat area. The level and intensity of physical activity have been measured with the use ActiGraph GT1M device. The differences between average variables analyzed have been compared with the use of an analysis of variance (ANOVA) and the level of p <0,05 have been taken as statistically significant. Results: The research show that 60% of women achieved the recommended limit of 10000 steps a day, but the results of the most active group which performed on the average above 12500 steps were the closest to the correct body composition indexes (BFMI - 8,71 kg/m2, VFA - 116,94 cm2). The differences between average variables of BMI, BMFI, VFA, WHR of women who achieved and did not achieve the minimum of 30 minutes of physical activity with the intensity of 3-6 MET at least 5 times a week were not statistically significant and the results in both groups exceeded the scope of norms. Physical activity defined by the amount of days a week (≤2, 3-4, ≥5), when the women exceeded 10000 steps a day has statistically significantly differentiated all the variables describing the level of body adiposity and the results approach to the scope of norms. Conclusions: The level of the physical activity defined by the number of steps performed (<7500, 7500-9999, 10000-12500, >12500), statistically significantly differentiates all health related somatic features (BMI, BFMI, FFMI, VFA, WHR) of the women. Frequency of the physical activity has statistically significantly differentiated all the variables describing the level of body adiposity (BMI, BFMI, VFA, WHR). Monitoring the amount of the steps performed with the use of motion sensors can be an effective tool of control and evaluation of physical activity.
Słowa kluczowe
Wydawca

Rocznik
Tom
25
Numer
4
Strony
35-40
Opis fizyczny
Daty
wydano
2011-12-01
online
2013-08-31
Twórcy
  • Katedra Teorii i Metodyki WF, Akademia Wychowania Fizycznego w Katowicach
  • Katedra Teorii i Metodyki WF, Akademia Wychowania Fizycznego w Katowicach
  • Katedra Antropologii Funkcjonalnej i Fizjologii, Uniwersytet Palackiego w Ołomuńcu, Czechy
  • Centrum Badań Kinatropologicznych, Uniwersytet Palackiego w Ołomuńcu, Czechy
Bibliografia
  • 1. World Health Organization. Global Recommendations on Physical Activity for Health. 2010.
  • 2. Plewa M. Wybrane metody pomiaru aktywności fizycznej w otyłości. AWF Katowice; 2008.
  • 3. Thompson DL, Rakow J, Perdue SM. Relationship between Accumulated Walking and Body Composition in Middle-Aged Women. Med Sci Sports Exerc 2004; 36(5): 911-914.[PubMed][Crossref]
  • 4. Bassett DR - JR, Strath SJ. Use of pedometers to assess physical activity. In: Welk GJ, editor. Physical Activity Assessments for Health-Related Research. Champaign, IL: Human Kinetics 2002. p. 163-177.
  • 5. Ross R, Janssen I. Physical activity, total and regional obesity: dose-response considerations. Med Sci Sports Exerc 2001; 33(6): 521-527.[Crossref]
  • 6. Van Pelt RE, Davy KP, Stevenson ET, et al. Smaller differences in total and regional adiposity with age in women who regularly perform endurance exercise. Am J Physiol 1998; 275:626-634.
  • 7. U.S. Department of Health and Human Services. Physical activity and health: a report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion; 1996.
  • 8. Molarius A, Seidell J, Sans S, et al. Waist and hip circumferences, and waist-hip ratio in 19 populations of the WHO MONICA Project. Int J Obes Relat Metab Disord 1999; 23(2):116-125.[Crossref]
  • 9. Seidell JC, Bouchard C. Visceral fat in relation to health: is it a major culprit or simply an innocent bystander? Int J Obes 1997; 21(8):626-631.[Crossref]
  • 10. Bertsias G, Mammas I, Linardakis M, et al. Overweight and obesity in relation to cardiovascular disease risk factors among medical students in Crete, Greece. BMC Public Health 2003; 3: 3.[PubMed][Crossref]
  • 11. Lee I-M, Skerrett PJ. Physical activity and all-cause mortality: what is the dose-response relation? Med Sci Sports Exerc 2001; 33(6):459-471.[Crossref]
  • 12. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report [National Institutes of Health; National Heart, Lung, And Blood Institute]. Obes Res 1998; 6(2):51-210.
  • 13. Kyle UG, Morabia A, Schutz Y, et al. Sedentarism affects body fat mass index and fat-free mass index in adults aged 18 to 98 years. Nutrition 2004; 20(3):255-260.[Crossref]
  • 14. Petersen L, Schnohr P, Sørensen TI. Longitudinal study of the long-term relation between physical activity and obesity in adults. Int J Obes 2004; 28: 105-112.[Crossref]
  • 15. World Health Organization. Pacific physical activity guidelines for adults: framework for accelerating the communication of physical activity guidelines. 2008.
  • 16. Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: Updated recommendation for adults from the American college of sports medicine and the American heart association. Circulation 2007; 116(9):1081-1093.[PubMed]
  • 17. Tudor-Locke C, Bassett DR. How many steps/day are enough? Preliminary pedometer indices for public health. Sports Med 2004; 34:108.
  • 18. Hatano Y. Use of the pedometer for promoting daily walking exercises. ICHPER 1993; 29:4-8.
  • 19. Biospace. InBody 720 - The precision body composition analyzer (User's Manual). Seoul; 2008.
  • 20. Van Itallie TB, Yang M-U, Heymsfield SB, et al. Height-normalized indices of the body’s fat-free mass and fat mass: potentially useful indicators of nutritional status. Am J Clin Nutr 1990; 52: 953- 459.
  • 21. Kyle UG, Gremion G, Genton L, et al. Physical activity and fat-free and fat mass by bioelectrical impedance in 3853 adults. Med Sci Sports Exerc 2001; 33(4): 576-584.
  • 22. Wing RR, Matthews KA, Kuller LH, et al. Weight gain at the time of menopause. Arch Intern Med 1991; 151:97-102.[PubMed][Crossref]
  • 23. Kyle UG, Genton L, Slosman DO, et al. Fat-free and fat mass percentiles in 5225 healthy subjects aged 15 to 98 years. Nutrition 2001; 17:534 -541.
  • 24. Toth M, Tchernof A, Sites C, et al. Effect of menopausal status on body composition and abdominal fat distribution. Int J Obes 2000; 24:226 -231. [Crossref]
  • 25. Dawson-Hughes B, Harris S. Regional changes in body composition by time of year in healthy postmenopausal women. Am J Clin Nutr 1992; 56:307-13.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_2478_rehab-2013-0018
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