Prediction of changes in central hemodynamics in overweight men with further development of obesity
Abstract
Introduction. There is a wide range of anthropometric methods for determination overweight and obesity. The most popular are body mass index, waist and hip circumference or waist-hip ratio and the measurement of body composition using bioimpendance method. Each of these methods has a lot of pros and cons, but none of them is the «gold standard». Therefore, it is not enough to rely only on the results of indirect methods to assess the state of the human body. They should be taken into account with laboratory or diagnostic methods, to better assess the morpho-functional features of the human body. The aim. To determine the relationship between central hemodynamic parameters and indices obtained by bioimpedance and anthropometric methods in order to predict changes in central hemodynamics in overweight men with the further development of obesity. Materials and methods of the research. 49 men aged 18–25 were examined. Body component composition was measured using Tanita BC-601 analyzer scales. Also body mass index and waist, hip circumference were measured. The indices of the cardiovascular system were determined using the rheographic complex «REOKOM», the method of tetrapolar rheography according to Kubicek. The results of the study were statistically processed using correlation and multifactor regression analysis. Results. According to the results of multifactor regression analysis, it was found that waist circumference and the index of visceral fat were associated with indices of cardiac index and the index of workload of left ventricular and the index of the peripheral vascular resistance (p < 0.05). Waist circumference and index of visceral fat had negative correlations with total peripheral resistance (r = -0,351 and r = -0,34, p < 0,01). Moreover, waist circumference and the index of visceral fat have positive correlation with cardiac output and the workload of left ventricle (r = 0,543, p < 0,001; r = 0,378, p < 0,001). Conclusions. Waist circumference and indices of visceral fat and subcutaneous fat in the trunk are the most accurate methods for predicting in future not only abdominal obesity but also an increase in workload of the left ventricle, cardiac output, and decreased vascular resistance.
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Duren DL, Sherwood RJ, Czerwinski SA, Lee M, Choh AC, Siervogel RM, et al. Body composition methods: comparisons and interpretation. Journal of Diabetes Science and Technology. 2008 Nov; 2 (6): 1139–1146. https://doi.org/10.1177/193229680800200623
Finch P. Intra-abdominal fat: Comparison of computed tomography fat segmentation and bioimpedance spectroscopy. Malawi Medical Journal. 2017 Aug; 29 (2): 155–159. https://doi.org/10.4314/mmj.v29i2.15
World Health Organization (2011). Waist circumference and waist-hip ratio: report of a WHO expert consultation [Internet]. Geneva: World Health Organization; 8–11 December 2008. Available from: https://apps.who.int/iris/handle/10665/44583
Weir CB, Jan A. BMI classification percentile and cut off points. StatPearls [Internet].2019. Available from: https://www.ncbi.nlm.nih.gov/books/NBK541070/
Blüher M. Metabolically Healthy Obesity. Endocrine Reviews. 2020 Jun; 41 (3): 405–420. https://doi.org/10.1210/endrev/bnaa004
Echouffo-Tcheugui JB, Short MI, Xanthakis V, Field P, Sponholtz TR, Larson MG, Vasan RS. Natural History of Obesity Subphenotypes: Dynamic Changes Over Two Decades and Prognosis in the Framingham Heart Study. J Clin Endocrinol Metab. 2019 Mar; 104 (3): 738–752. https://doi.org/10.1210/jc.2018-01321. PMID: 30339231; PMCID: PMC6349002.
Carpenter CL, Yan E, Chen S, Hong K, Arechiga A, Kim WS, et al. Body fat and body-mass index among a multiethnic sample of college-age men and women. Journal of Obesity [Internet]. 2013 Apr. Available from: https://pubmed.ncbi.nlm.nih.gov/23691288/, https://doi.org/10.1155/2013/790654
Wise J. Waist measurement, not BMI, is stronger predictor of death risk, study finds. British Medical Journal [Internet]. 2017 Apr; 357: j2033. Available from: https://www.bmj.com/content/357/bmj.j2033/rr, https://doi.org/10.1136/bmj.j2033
Ross R, Neeland IJ, Yamashita S, Shai I, Seidell J, Magni P, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity. Nature Reviews Endocrinology. 2020 Feb; 16: 177–189. https://doi.org/10.1038/s41574-019-0310-7
Amani R. Comparison between bioelectrical impedance analysis and body mass index methods in determination of obesity prevalence in Ahvazi women. European Journal of Clinical Nutrition. 2007; 61: 478–482. https://doi.org/10.1038/sj.ejcn.1602545
Schlett CL, Lorbeer R, Arndt C, Auweter S, Machann J, Hetterich H, Linkohr B, Rathmann W, Peters A, Bamberg F. Association between abdominal adiposity and subclinical measures of left-ventricular remodeling in diabetics, prediabetics and normal controls without history of cardiovascular disease as measured by magnetic resonance imaging: results from the KORA-FF4 Study. Cardiovasc Diabetol. 2018 Jun 12; 17 (1): 88. https://doi.org/10.1186/s12933-018-0721-0
Shahabi J, Garakyaraghi M, Shafie D, Khaledifar A, Hedayat A, Givi M, Yadegarfar G. The association of anthropometric indices and cardiac function in healthy adults. ARYA atherosclerosis. 2019; 15 (1): 9–13. https://doi.org/10.22122/arya.v15i1.1307
Harald JS, Heide G, Jens K, Böhler S, Lehnert H, Zeiher AM, Winfried M, et al. Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. Journal of clinical endocrinology and metabolism. 2017 Feb; 92 (2): 589–594. https://doi.org/10.1210/jc.2006-0254
Dangardt, F, Charakida, M, Georgiopoulos, G, Chiesa, ST, Rapala, A, Wade, K H, et al. Association between fat mass through adolescence and arterial stiffness: a population-based study from The Avon Longitudinal Study of Parents and Children. The Lancet Child & Adolescent Health. 2019; 3 (7): 474–481. https://doi.org/10.1016/S2352-4642(19)30105-1
Chahal, H, McClelland, RL, Tandri, H, Jain, A, Turkbey, EB, Hundley, WG, et al. Obesity and right ventricular structure and function: the MESA-Right Ventricle Study. Chest. 2012 Feb; 141 (2): 388–395. https://doi.org/10.1378/chest.11-0172
Gallaghe, D, Heymsfield SB, Heo M, Jebb SA., Murgatroyd PR, Sakamoto, Y. Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index. The American Journal of Clinical Nutrition. 2000 Sep; 72 (3): 694–701. https://doi.org/10.1093/ajcn/72.3.694
Гундаров ИА, Пушкарь ЮТ, Константинов ЕН. О нормативах центральной гемодинамики, определяемых методом тетраполярной грудной реографии. Терапевтический архив. 1983; 4: 26–32.
Corden B, De Marvao A, Dawes TJ, Shi W, Rueckert D, Cook SA. Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 2016 May;18 (1): 32–36. https://doi.org/10.1186/s12968-016-0251-4
Anthony SR, Guarnieri AR, Gozdiff A, Helsley RN, Phillip Owens A, Tranter M. Mechanisms linking adipose tissue inflammation to cardiac hypertrophy and fibrosis. Clinical Science. 2019 Nov; 133 (22): 2329–2344. doi:10.1042/CS20190578
Luong Q, Kevin YL. The heterogeneity of white adipose tissue. In: Szablewski L editor. Adipose Tissue [Internet]. London: IntechOpen; 2018. 177. Available from: doi: 10.5772/intechopen.76898. https://www.intechopen.com/books/adipose-tissue/the-heterogeneity-of-white-adipose-tissue.
Gruzdeva O, Borodkina D, Uchasova E, Dyleva Y, Barbarash O. (2019). Leptin resistance: underlying mechanisms and diagnosis. Diabetes, metabolic syndrome and obesity: targets and therapy. 2019: 12: 191–198. https://doi.org/10.2147/DMSO.S182406
Visscher TL, Seidell JC, Molarius A, van der Kuip D, Hofman A, Witteman JC. A comparison of body mass index, waist-hip ratio and waist circumference as predictors of all-cause mortality among the elderly: the Rotterdam study. International Journal of Obesity and Related Metabolic Disorders. 2001 Nov; 25 (11): 1730–1735. https://doi.org/10.1038/sj.ijo.0801787
Vazquez G, Duval S, David RJ, Silventoinen JrK. Comparison of Body Mass Index, Waist Circumference, and Waist/Hip Ratio in Predicting Incident Diabetes: A Meta-Analysis. Epidemiologic Reviews. 2007; 29 (1): 115–128. https://doi.org/10.1093/epirev/mxm008
Chang E, Varghese M, Singer K. Gender and Sex Differences in Adipose Tissue. Curr Diab Rep. 2018 Jul 30; 18 (9): 69. https://doi.org/10.1007/s11892-018-1031-3
Giannitsi S, Bougiakli M, Bechlioulis A, Naka K. (2019). Endothelial dysfunction and heart failure: A review of the existing bibliography with emphasis on flow mediated dilation. JRSM cardiovascular disease. 2019; 8. https://doi.org/10.1177/204800401984304722
Farb MG, Gokce N. (2015). Visceral adiposopathy: a vascular perspective. Hormone Molecular Biology and Clinical Investigation. 2015 Feb; 21 (2): 125–136. https://doi.org/10.1515/hmbci-2014-0047
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