Body composition of Slovak midlife women with cardiovascular complications

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The aim of this study was to analyse differences in body composition of women with and without cardiovascular complications. Bioelectrical parameters were measured with bioimpedance monofrequency analyser (BIA 101) and tissue electric properties were analysed by bioelectric impedance vector analysis (BIVA). The clinical sample (with CVD) consisted of 254 women ranging in age between 39 and 65 years. The sample of women without CVD consisted of 318 women in the same age range and was created from database of our previous studies. Statistical analysis adjusted for age showed significant differences in body composition characteristics of the studied samples. The results of vector analysis showed significantly different tissue electric properties of women in studied groups, what was confirmed by the Hotelling T2- test (p=0.0000). More women with CVD attained risky mean values of obesity indices of BMI and WHR than their “healthy” counterparts. Among women with CVD 80.2% had higher value of the BMI index than optimal one (>24.9 kg/m2) and 74.4% of women had higher value of the WHR index than optimal (>0.80). From the BIA parameters strong correlation coefficient was found between BMI and FM in both groups (r=0.962 for women with CVD; r=0.968 for relatively healthy women). Our data confirmed that cardiovascular disease complications are strongly linked in body composition changes. The cross-sectional nature of our study makes it difficult to draw conclusions regarding causal pathways, though variables of obesity are in line with unhealthy conditions.

Amir HS, Rakhshanda B. 2009. Body composition, its significance and models for assessment. Pak J Nutr 8(2):198-202.

Atilano X, Luis Miguel J, Martínez J, Sánchez R, Selgas R. 2012. Bioimpedance vector analysis as a tool for determination and adjustment of dry weight in hemodialysis patients. Kidney Res Clin Prac 31(2):A17- A18.

Barbosa-Silva MC, Barros AJ. 2005. Bioelectric impedance and individual characteristics as prognostic factors for postoperative complications. Clin Nutr 24(5):830-8.

Buffa R, Mereu RM, Putzu PF, Floris G, Marin E. 2010. Bioelectrical impedance vector analysis detects low body cell mass and dehydratation in patients with Alzheimer´s disease, J Nutr Health Aging 14:823-827.

Dagenais GR, Yi Q, Mann JF, Bosch J, Pogue J, Yusuf S. 2005. Prognostic impact of body weight and abdominal obesity in women and men with cardiovascular disease. Am Heart J 149:54-60.

Dalton M, Cameron AJ, Zimmet PZ, Shaw JE, Jolley D, Dunstan DW, Welborn TA. 2003. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults. J Intern Med 254(6):555-63.

Dehghan M, Merchant AT. 2008. Is bioelectrical impedance accurate for use in large epidemiological studies? Nutr J 7: 26.

Diaz EO, Villar J, Immink M, Gonzales T. 1989. Bioimpedance or anthropometry? Eur J Clin Nutr 43:129-37.

Gába A, Přidalová M, Zajac-Gawlak I. 2014. Posouzení objektivity hodnocení výskytu obezity na základě body mass indexu vzhledem k procentuálnímu zastoupení tělesného tuku u žen ve věku 55-84 let. Čas. Lék. Čes 153:22-27.

Giardina EG. 2000. Heart disease in women. Int J Fertil Womens Med 45:350-57.

Guida B, De NL, Pecoraro P, Trio R, Di Paola F, Iodice C, Bellizzi V, Memoli B. 2001. Abnormalities of bioimpedance measures in overweight and obese hemodialyzed patients. Int J Obes Relat Metab Disord 25:265-72.

Guo SS, Zeller CH, Chumlea WC, Siervogel RM. 1999. Aging, body composition, and lifestyle: the fels longitudinal study. Am J Clin Nutr 70:405-11.

Haas V, Riedl A, Hofmann T, Nischan A, Burghardt R, Boschmann M, Klapp B. 2012. Bioimpedance and bioimpedance vector analysis in patients with anorexia nervosa. Eur Eat Disord. Rev 20:400-05.

Kalvach Z, Zadák Z, Jirák R, Zavázalová H, Sucharda P. 2014. Geriatrie a gerontologie. Praha: Grada.

Kehayias JJ, Fiatarone MA, Zhuang H, Roubenoff R. 1997. Total body potassium and body fat: Relevance to aging. Am J Clin Nutr 66:904-10.

Khalil SF, Mohktar MS, Ibrahim F. 2014. The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases. Sensors 14:10895-928.

Kyle GU, Schutz Y, Dupertuis MY, Pichard C. 2003. Body composition interpretation: contributions of the fat-free mass index and the body fat mass index. Nutrition 19:597-04.

Kyle UG, Bosaeus I, De Lorenzo AD, Deurenberg P, Elia M, Gómez JM, Heitmann BL, Kent-Smith L, Melchior JC, Pirlich M. 2004. Bioelectrical impedance analysis- Part I: Review of principles and methods. Clin. Nutr 23:1226-43.

Mattar JA. 1996. Application of total body bioimpedance to the critically ill patient. Brazilian Group for Bioimpedance Study. New Horiz 4:493-503.

Nescolarde L, Piccoli A, Roman A, Nunez A, Morales R, Tamayo J, Doñate T, Rosell J. 2004. Bioelectrical impedance vector analysis in haemodialysis patients: relation between oedema and mortality. Physiol Meas. 25:1271-80.

Norman K, Stobäus N, Pirlich M, Bosy-Westphal A. 2012. Bioelectrical phase angle and impedance vector analysis-clinical relevance and applicability of impedance parameters. Clin Nutr. 31(6):854-61.

Piccoli A, Rossi B, Pillon L, Bucciante G. 1994. A new method for monitoring body fluid variation by bioimpedance analysis: the RXc graph. Kidney Int 46:534-39.

Piccoli A, Pillon L, Dumler F. 2002. Impedance vector distibution by sex, race, body mass index, and age in the United States: standdard reference intervals as bivatiate Z scores. Nutrition 18:153-67.

Rosano GM, Vitale C, Marazzi G, Volterrani M. 2007. Menopause and cardiovascular disease: the evidence. Climacteric 10(1):19-24.

Selberg O, Selberg D. 2002. Norms and correlates of bioimpedance phase angle in healthy human subjects, hospitalized patients, and patients with liver cirrhosis. Eur J Appl Physiol 86:509-16.

Siváková D, Vondrová D, Valkovič P, Cvičelová M, Danková Z, Luptáková L. 2013. Bioelectrical impedance vector Analysis (BIVA) in Slovak population: application in a clinical sample. Cent Eur J Biol 8(11):1094-01.

Talluri T. 1998. Quantitative human body composition analysis assessed with bioel ectrical impedance. Coll Antropol 22:427-32.

Talluri A, Liedtke R, Mohamed EI, Maiolo C, Martinoli R, De Lorenzo A. 2003. The application of body cell mass index for studying muscle mass changes in health and disease conditions. Acta Diabetol 40:S286-S289.

Toso S, Piccoli A, Gusella M, Menon D, Bononi A, Crepaldi G, Ferrazzi E. 2000. Altered tissue electric properties in lung cancer patients as detected by bioelectric impedance vector analysis. Nutrition 16:120-24.

Van Pelt RE, Evans EM, Schechtman KB, Ehsani AA, Kohrt WM. 2001. Waist circumference vs body mass index for prediction of disease risk in postmenopausal women. Int J Obes 25(8):1183-88.

Wang J, Thornton JC, Kolesnik S, Pierson RN Jr. 2000. Anthropometry in body composition. An overview. Ann N Y Acad Sci 904:317-26.

Williams SB, Bartsch G, Muurahainen N, Collins G, Raghavan SS, Wheeler D. 2003. Protein intake is positively associated with body cell mass in weight-stable HIV-infected men. J Nutr 133(4):1143-46.

Willett WC, Manson JE, Stampfer MJ, Colditz GA, Rosner B, Speizer FE, Hennekens CH. 1995. Weight, weight change, and coronary heart disease in women. Risk within the ‚normal’ weight range. JAMA 273(6):461-65.

Womersley J. 1977. A comparison of the skinfold method with extent of ‘overweight’ and various weight-height relationships in the assessment of obesity. Br J Nutr 38:271-24.

Zárate A, Saucedo R, Basurto L, Martínez C. 2007. Cardiovascular disease as a current threat of older women. Relation to estrogens. Ginecol Obstet Mex 75:286-92.

Anthropological Review

The Journal of Polish Anthropological Society

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CiteScore 2017: 0.70

SCImago Journal Rank (SJR) 2017: 0.282
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