PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2018 | 69 | 3 |

Tytuł artykułu

Comparison of selected parameters of body composition in a group of sporting and non-sporting women

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background. Physical activity is bodily movement produced by skeletal muscle that requires energy expenditure and promotes health benefits. Appropriate physical activity is important in the prevention of cardiovascular disease, coronary heart disease, type 2 diabetes mellitus, obesity, metabolic syndrome, breast cancer, and others. Objective. The aim of the study was to compare the body composition of the selected group of women in relation to physical activity (group of sporting women (S) versus group of non-sporting women (N-S) using an InBody 230 instrument based on the principle of bioelectric impedance. Material and Methods. The group consisted of 140 women (nS = 70 vs nN-S = 70) aged 20-63 years (the average age of women doing sport was 41.1 ± 11.9 and 42.3 ± 10.87 for non-sporting women). Anthropometric measurements were made using the InBody 230 (Biospace Co. Ltd., Seoul, Republic of Korea). The Lookin’Body 3.0 software to process the results was used. The collected data concerning the anthropometric measurements were evaluated statistically and graphically in Microsoft Office Excel 2010 (Los Angeles, CA, USA). Results. The average value of BMI (Body Mass Index) of sporting women was 24.20 ± 3.54 kg.m-2 and non-sporting women 27.30 ± 5.97 kg.m-2 (P<0.5). Average values of WHR (Waist hip ratio) were higher than 0.85 for both groups. Average BMR (Basal metabolic rate) values of women doing sport ranged from 1364-1585 kcal. The higher percentage of TBW (Total body water), ICW (Intracellular water) and ECW (Extracellular water) from the average body weight was achieved by the group of women doing sport, where the average TBW was 51.51% of body weight, ICW 31.93% and ECW 19.58% of body weight. Higher values of FFM (Fat free mass) were achieved by a group of sporting women. The average BFM in the group of women doing sport was 20.10 ± 6.73 kg, in the non-sporting group 27.60 ± 12.73 kg. The minimum PBF in the sporting group of women was 16.40% and a maximum of 43.30%; the minimum value in the group of women doing not sport was 19.30% and a maximum of 50.40% (p <0.01). The average VFA (Visceral fat area) in the group of women doing sport was 86.70 ± 28.79 cm2 and in the group of non-sporting women 113.90 ± 44.95 cm2 (p<0.01). Conclusions. The results of the measurements show the positive influence of physical activity on components of body composition in all age categories. Physical activity, along with rational nutrition, should be part of a healthy lifestyle for each individual.
PL
Wprowadzenie. Aktywność fizyczna to każda praca, ruch wykonany przez mięśnie szkieletowe organizmu, który charakteryzuje się ponad spoczynkowym wydatkiem energetycznym. To składowa ogólnego wydatku energetycznego, niezbędna nie tylko do utraty nadmiaru masy, ale w ogóle funkcjonowania organizmu. Właściwie dobrana aktywność fizyczna odgrywa istotną rolę w profilaktyce chorób układu sercowo - naczyniowego, cukrzycy typu 2, zespołu metabolicznego, nowotworów oraz innych schorzeń określanych jako niezakaźne choroby przewlekłe. Cel. Celem badań było porównanie składu ciała wybranych grup kobiet w aspekcie aktywności fizycznej (kobiety aktywne fizycznie (S) vs kobiety nieaktywne fizycznie (NS)). Do badań wykorzystano analizator skladu ciała InBody 230. Materiał i metody. Badaną grupe stanowiło 140 kobiet (S – n=70, NS – n=70) w wieku 20 – 63 lat (średni wiek kobiet uprawiających aktywność fizyczną wynosił 41,1±11,9 lat i 42,3 ±10,87 – dla kobiet nieaktywnych fizycznie). Pomiary antropometryczne zostały wykonane przy użyciu InBody 230 (Biospace Co. Ltd., Seoul, Republic of Korea). Do opracowania wyników wykorzystano opragromowanie Lookin’Body 3.0. Analiza statystyczna oraz opracowanie graficzne zostało przeprowadzone z wykorzystaniem programu Microsoft Office Excel 2010 (Los Angeles, CA, USA). Wyniki. Średnia wartość wskaźnika masy ciała (Body Mass Index- BMI) kobiet aktywnych fizycznie wynosiła 24,20±3,54 kg/m2, a kobiet nieaktywnych fizycznie 27,30±5,97 kg/m2 (p=<0,5). Średnie wartości wskaźnika WHR (Waist Hip Ratio) były wyższe niż 0,85 w obu grupach. Wartość wskaźnika podstawowej przemiany materii (BMR) kobiet aktywnych fizycznych mieściła się w zakresie 1364 – 1585 kcal. W ocenia składu ciała kobiet uprawiających sport stwierdzono wyższe wartości wskaźników: TBW (Total body water), ICW (Intracellular water) i ECW (Extracellular water), gdzie średnie wartości wynosiły odpowiednio 51,51% masy ciała, 31,93% i 19,58%. Podobnie w tej samej grupie ksztłtował się wskaźnik FFM (Fat free mass) wynosił on w grupie aktywnej fizycznie 20,10±6,73 kg, natomiast w grupie nieaktywnej fizycznie - 27,60±12,73 kg. Minimalna wartość wskaźnika PBF w grupie aktywnej sportowo wynosiła 16,40% i nie przekraczała 43,30%, natomiast w grupie kobiet nieaktywnych wskaźnik ten był wyższy i wynosił 19,30%, pzy artości maksymalnej 50,40% (p<0,01). Parametr VFA (Visceral fat area) wynosił średnio 86,70±28,79 cm2 w grupie kobiet aktywnych, natomiast w grupie nieaktywnej fizycznie - 113,90±44,95 cm2 (p<0,01). Wnioski. Wyniki uzyskane w ocenie parametrów antropometrycznych wskazują na pozytywny wpływ aktywności fizycznej na funcjonowanie organizmu, niezależnie od wieku. Aktywność fizyczna wraz z racjonalnym sposobem żywienia powinna być nieodzownym elemnetem zdrowego stylu życia każdego człowieka.

Słowa kluczowe

Wydawca

-

Rocznik

Tom

69

Numer

3

Opis fizyczny

p.257-266,fig.,ref.

Twórcy

autor
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovakia
autor
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovakia
autor
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovakia
  • Department of Human Nutrition, Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovakia
  • Department of Human Nutrition, Faculty of Biotechnology and Food Science, Wroclaw University of Environmental and Life Sciences, Chelmonskiego 37, 51-630 Wroclaw, Poland

Bibliografia

  • 1. Abulmeaty M.A., Ahmed S., Almajwal A.: Apelin is promising in management of diabetes complicating high fat diet induced obesity in rats. Prog Nutr 2013;15(4):245–54.
  • 2. Abulmeaty M.A.A., Almajwal A.M., Alsaif M.A., Hassan H.M.Z., Almansour S.K.: Impedancemetry vs. Anthropometry in the prediction of body adiposity and obesity diagnosis. Prog Nutr 2016;18(1):39–46.
  • 3. Abulmeaty M.M.A.: Multimodal-lifestyle intervention produces reduction of the fat mass rather than body weight loss in men with obesity: A prospective cohort study. Nutrition clinique et métabolisme2016;30:163-71. https://doi.org/10.1016/j.nupar.2016.04.001
  • 4. Babiarczyk B., Turbiarz A.: Body Mass Index in elderly people—do the reference ranges matter? Progress in Health Sciences 2012;2(1):58-67.
  • 5. Beaufrère B., Morio B.: Fat and protein redistribution with aging: metabolic considerations. European Journal of Clinical Nutrition 2000;54(Suppl. 3):48-53.
  • 6. Beavers K.M., Beavers D.P., Nesbit B.A., Ambrosius W.T., Marsh A.P., Nicklas B.J., Rejeski W.J.: Effect of an 18 month physical activity and weight loss intervention on body composition in overweight and obese older adults. Obesity (Silver Spring) 2014;22(2):325-31. https://doi.org/10.1002/oby.20607
  • 7. Blair S.N., Kampert J.B., Kohl H.W. 3rd, Barlow C.E., Macera C.A., Paffenbarger R.S. Jr, Gibbons L.W.: Influences of cardiorespiratory fitness and other precursors on cardiovascular disease and all-cause mortality in men and women. JAMA 1996;276:205-10.
  • 8. Bray G.A., Frühbeck G., Ryan D.H., Wilding J.P.: Management of obesity. Lancet 2016;387(10031):1947-1956. https://doi.org/10.1016/S0140-6736(16)00271-3
  • 9. Cacek J., Grasgruber P., Kalina T., Hlavoňová D., Michalek J.: Walking and Obesity in the Adult Population of the Czech Republic. Procedia - Social and Behavioral Sciences 2014;117:633-638. https://doi.org/10.1016/j.sbspro.2014.02.274
  • 10. De Koning L., Merchant A.T., Pogue J., Anand S.S.: Waist circumference and waistto-hip ratio as predictors of cardiovascular events: meta-regression analysis of prospective studies. Eur. Heart J. 2007;28:850-856. https://doi.org/10.1093/eurheartj/ehm026
  • 11. De Lorenzo A., Del Gobbo V., Premrov M.G., Bigioni M., Galvano F., Di Renzo L.: Normal-weight obese syndrome: early inflammation? The American Journal of Clinical Nutrition 2007;85(1):40-45.
  • 12. Gába A., Pelclová J., Přidalová M., Riegerová J., Dostálová I., Engelová L.: The evaluation of body composition in relation to physical activity in 56–73 y. old women: A pilot study. Acta Universitatis Palackianae Olomucensis. Gymnica 2009;39:21–30.
  • 13. Gába A., Pridalová M.: Age-related changes in body composition in a sample of Czech women aged 18–89 years: a cross-sectional study. European Journal of Nutrition 2014;53(1):167-176.
  • 14. Going S., Lee V., Blew R., Laddu D., Hetherington-Rauth M.: Top 10 Research Questions Related to Body Composition. Research Quarterly for Exercise and Sport 2014;85:38-48. https://doi.org/10.1080/0270136 7.2013.875446
  • 15. Hamdy O.: The role of adipose tissue as an endocrine gland. Current Diabetes Reports 2005;5(5):317-319. https://doi.org/10.1007/s11892-005-0086-0
  • 16. Haskell W.L., Lee I.M., Pate R.R., Powell K.E., Blair S.N., Franklin B.A. 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. doi: 10.1161/circulation.107.185649
  • 17. Hayashi T., Boyko E.J., McNeely M.J., Leonetti D.L., Kahn S.E., Fujimoto W.Y.: Visceral adiposity, not abdominal subcutaneous fat area, is associated with an increase in future insulin resistance in Japanese Americans. Diabetes 2008;57:1269-1275.
  • 18. Hornbuckle L.M., Bassett D.R., Thompson D.L.: Pedometer-determined walking and body composition variables in African-American women. Medicine and Science in Sports and Exercise 2005;37:1069-1074.
  • 19. Chodzko-Zajko W.J., Proctor D.N., Fiatarone Singh M.A., Minson C.T., Nigg C.R., Salem G.J., Skinner J.S.: American College of Sports Medicine position stand. Exercise and physical activity for older adults. Medicine and Science in Sports and Exercise 2009;41(7):1510-1530. doi:10.1249/MSS.0b013e3181a0c95c
  • 20. Katzmarzyk P.T., Leon A.S., Wilmore J.H., Skinner J.S., Rao D.C., Rankinen T., Bouchard C.: Targeting the metabolic syndrome with exercise: evidence from the HERITAGE Family Study. Medicine and Science in Sports and Exercise 2003;35(10):1703-1709. http://doi.org/10.1249/01.MSS.0000089337.73244.9B
  • 21. Kraus W.E., Houmard J.A., Duscha B.D., Knetzger K.J., Wharton M.B., McCartney J.S., Slentz C.A.: Effects of the amount and intensity of exercise on plasma lipoproteins. The New England Journal of Medicine 2002;347(19):1483–1492. http://doi.org/10.1056/NEJMoa020194
  • 22. Kyle U.G., Bosaeus I., De Lorenzo A.D., Deurenberg P., Elia M., Gómez J.M., Heitmann B.L., Kent-Smith L., Melchior J.C., Pirlich M., Scharfetter H., Schols A.M., Pichard C.: Bioelectrical impedance analysis part I: review of principles and methods. Clinical Nutrition 2004;23(5):1226-1243. https://doi.org/10.1016/j.clnu.2004.06.004
  • 23. Kyle U.G., Genton L., Gremion G., Slosman D.O., Pichard C.: Aging, physical activity and height-normalized body composition parameters. Clinical Nutrition 2004;23:79-88. https://doi.org/10.1016/S0261-5614(03)00092-X
  • 24. Kyle U.G., Genton L., Slosman D.O., Pichard C.: Fatfree and fat mass percentiles in 5225 healthy subjects aged 15 to 98 years. Nutrition 2001;17:534-541.
  • 25. Kyle U.G., Schutz Y., Dupertuis Y.M., Pichard C.: Body composition interpretation:contribution of fat-free mass index and body fat mass index. Nutrition 2003;19(7-8):597-604. https://doi.org/10.1016/S0899-9007(03)00061-3
  • 26. Malara M., Lutosławska.: Physical activity, dietary habits and plasma lipoproteins in young men and women. Rocz Panstw Zakl Hig 2010; 63(4): 405-412 (in Polish).
  • 27. Manson J.E., Hu F.B., Rich-Edwards J.W., Colditz G.A., Stampfer M.J., Willett W.C., Speizer F.E., Hennekens C.H.: A prospective study of walking as compared with vigorous exercise in the prevention of coronary heart disease in women. N Engl J Med 1999;341:650-658.
  • 28. Merkiel S., Ratajczak M.: Food behaviour and attitude towards nutritional knowledga in female fitness instructors and female finess participants. Rocz Panstw Zakl Hig 2013; 64(4): 325-412 (in Polish).
  • 29. Mora S., Cook N., Buring J.E., Ridker P.M., Lee, I.M.: Physical activity and reduced risk of cardiovascular events: potential mediating mechanisms. Circulation 2007;116(19):2110-2118. https://doi.org/10.1161/ CIRCULATIONAHA.107.729939
  • 30. Nomura K., Eto M., Kojima T., Ogawa S., Iijima K., Nakamura T., Ouchi Y.: Visceral fat accumulation and metabolic risk factor clustering in older adults. Journal of the American Geriatrics Society 2010;58(9):1658-1663. https://doi.org/10.1111/j.1532- 5415.2010.03018.x
  • 31. Pelclová J., Gába A., Tlučáková L., Pośpiech D.: Association between physical activity (PA) guidelines and body composition variables in middle-aged and older women. Archives of Gerontology and Geriatrics 2012;55:14-20. https://doi.org/10.1016/j.archger.2012.06.014
  • 32. Rosengren A., Wilhelmsen L.: Physical activity protects against coronary death and deaths from all causes in middle-aged men. Evidence from a 20-year followup of the primary prevention study in Goteborg. Ann Epidemiol 1997;7:69-75.
  • 33. Seidell J.C., Bouchard C.: Visceral fat in relation to health: Is it a major culprit or simply an innocent bystander? International Journal of Obesity 1997;21:626-631.
  • 34. Sempołowska K., Stupnicki R.: Relative fat content in young women with normal BMI but differing in the degree of physical activity. Rocz Panstw Zakl Hig 2007;58(1):333-338 (in Polish).
  • 35. Swartz A., Strath S., Parker S., Miller N., Cieslik L.: Ambulatory activity and body mass index in white and non-white older adults. Journal of Physical Activity and Health 2007;4:294-304.
  • 36. Thompson D.L., Rakow J., Perdue S.M.: Relationship between accumulated walking and body composition in middle-aged women. Medicine and Science in Sports and Exercise 2004;36:911–914.
  • 37. Toth M.J., Beckett T., Poehlman E.T.: Physical activity and the progressive change in body composition with aging: Current evidence and research issues. Medicine and Science in Sports and Exercise 1999;31:590-596.
  • 38. Tudor-Locke C., Burton N.W., Brown W.J.: Leisure-time physical activity and occupational sitting: Associations with steps/day and BMI in 54–59 year old Australian women. Preventive Medicine 2009;48:64–68.
  • 39. URL 1: Biospace 2017. Available on: www.biospace.cz
  • 40. Van Gaal L.F., Mertens I.L., De Block C.E.: Mechanisms linking obesity with cardiovascular disease. Nature 2006;444(7121):875-880. https://doi.org/ 10.1038/nature05487
  • 41. Wiklund P., Alen M., Munukka E., Cheng S.M., Yu B., Pekkala S., Cheng S.: Metabolic response to 6-week aerobic exercise training and dieting in previously sedentary overweight and obese pre-menopausal women: A randomized trial. Journal of Sport and Health Science 2014;3:217-224. http://dx.doi.org/10.1016/j.jshs.2014.03.013.
  • 42. Wisse B.E.: The inflammatory syndrome: the role of adipose tissue cytokines in metabolic disorders linked to obesity. Journal of the American Society of Nephrology 2004;15(11):2792-2800. http://doi.org/10.1097/01. ASN.0000141966.69934.21
  • 43. Zając-Gawlak I., Pośpiech D., Kroemeke A., Mossakowska M., Gába A., Pelclová J., Přidalová M., Kłapcińska B.: Physical activity, body composition and general health status of physically active students of the University of the Third Age (U3A). Archives of Gerontology and Geriatrics 2016;64:66-74. http://dx.doi.org/10.1016/j.archger.2016.01.008

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-dc684e6e-1534-4b49-afbb-4f0211238645
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.