The Importance of Erythrocyte Parameters in Obese Children
Authors: Orkide Donma, M. Metin Donma, Burcin Nalbantoglu, Birol Topcu, Feti Tulubas, Murat Aydin, Tuba Gokkus, Ahmet Gurel
Abstract:
Increasing prevalence of childhood obesity has increased the interest in early and late indicators of gaining weight. Cell blood counts may be indicators of pro-inflammatory states. The aim was to evaluate associations of hematological parameters, including hematocrit (HTC), hemoglobin, blood cell counts and their indices with the degree of obesity in pediatric population. A total of 249; -139 morbidly obese (MO), 82 healthy normal weight (NW) and 28 overweight (OW) children were included into the scope of the study. WHO BMI-for age percentiles were used to form age- and sexmatched groups. Informed consent forms and the Ethics Committee approval were obtained. Anthropometric measurements were performed. Hematological parameters were determined. Statistical analyses were performed using SPSS. The degree for statistical significance was p≤0.05. Significant differences (p=0.000) between waist-to-hip ratios and head-to- neck ratios (hnrs) of MO and NW children were detected. A significant difference between hnrs of OW and MO children (p=0.000) was observed. Red cell distribution width (RDW) was higher in OW children than NW group (p=0.030). Such finding couldn’t be detected between MO and NW groups. Increased RDW was prominent in OW children. The decrease in mean corpuscular hemoglobin concentration (MCHC) values in MO children was sharper than the values in OW children (p=0.006 vs p=0.042) compared to those in NW group. Statistically higher HTC levels were observed between MO-NW (p=0.014), but none between OW-NW. Though the cause-effect relationship between obesity and erythrocyte indices still needs further investigation, alterations in RDW, HTC, MCHC during obesity may be of significance in the early life.
Keywords: Anthropometry, children, erythrocytes, obesity.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100631
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2449References:
[1] M. Mansourian, I. Kazemi and R. Kelishadi, “Pediatric metabolic syndrome and cell blood counts: bivariate Bayesian modeling,” J. Trop. Pediatr., vol. 60, no. 1, pp. 61-67, Feb. 2014.
[2] J. Vuong, Y. Qiu, M. La, G. Clarke, D. W. Swinkels and G. Cembrowski, “Reference intervals of complete blood count constituents are highly correlated to waist circumference: Should obese patients have their own “normal” values?, Am. J. Hematol., vol. 89, no. 7, pp. 671- 677, July 2014.
[3] C. Aypak, O. Turedi, M. A. Bircan and A. Yuce, “Could mean platelet volume among complete blood count parameters be a surrogate marker of metabolic syndrome in pre-pubertal children?,” Platelets, vol. 25, no. 6, pp. 393-398, 2014.
[4] R. Kelishadi, M. Hashemipour, P. Ashtijou, P. Mirmoghtadaee, P. Poursafa, N. Khavarian and S. Ghatrehsamani, “Association of cell blood counts and cardiometabolic risk factors among young obese children,” Saudi Med. J., vol. 31, no. 4, pp. 406-412, Apr. 2010.
[5] J. Zhao, L. Lin, X. Z. Lu and G. Li, “Noninvasive detection of hematocrit and the mean corpuscular hemoglobin concentration levels by Vis-NIR spectroscopy,” GuangPuXue Yu GuangPu Fen Xi, vol. 34, no. 3, pp. 652-655, Mar 2014.
[6] T. Skjelbakken, J. Lappegård, T. S. Ellingsen, E. Barrett-Connor, J. Brox, M-L. Løchen, I. Njølstad, T. Wilsgaard, E. B. Mathiesen, S. K. Brækkan and J-B. Hansen, “Red cell distribution width is associated with incident myocardial infarction in a general population: The Tromsø Study,” J. Am. Heart Assoc., vol. 3, no. 4, pp. e001109, Aug. 2014.
[7] J. Rodriguez-Carrio, M. Alperi-Lopez, P. Lopez, S. Alonso-Castro, F. J. Ballina-Garcia and A. Suarez, “Red cell distribution width is associated with cardiovascular risk and disease parameters in rheumatoid arthritis,” Rheumatology, to be published.
[8] Z. Z. Li, L. Chena, H. Yuan, T. Zhou and Z. M. Kuang, “Relationship between red blood cell distribution width and early-stage renal function damage in patients with essential hypertension,” J. Hypertens., vol. 32, no. 12, pp. 2450–2456, Dec. 2014.
[9] A. Vayá, R. Alis, A. Hernandez-Mijares, E. Solá, R. Cámara, L. Rivera, M. Romagnoli and B. Laiz, “Red blood cell distribution width is not related with inflammatory parameters in morbidly obese patients,” Clin. Biochem., vol. 47, no. 6, pp. 464–466, Apr. 2014.
[10] A. Vaya, R. Alis, M. Suescun, L. Rivera, J. Murado, M. Romagnoli, E. Sola, and A. Hernandez-Mijares, “Association of erythrocyte deformability with red blood cell distribution width in metabolic diseases and thalassemia trait,” Clin. Hemorheol. Microcirc., to be published.
[11] H. H. Patel, H. R. Patel and J. M. Higgins, “Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease,” Am. J. Hematol., to be published.
[12] Growth reference 5-19 years. BMI-for-age (5-19 years) Available from: http://www.who.int/growthref/who2007_bmi_for_age/en/
[13] D. R. Matthews, J. P. Hosker, A. S. Rudenski, B. A. Naylor, D. F. Treacher and R. C. Turner, “Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man,” Diabetologia, vol. 28, no. 7, pp. 412–419, Jul. 1985.
[14] P. Gunczler and R. Lanes, “Relationship between different fasting-based insulin sensitivity indices in obese children and adolescents,” J. Pediatr. Endocrinol. Metab., vol. 19, no. 3, pp. 259-265, Mar. 2006.
[15] C. Su, L. Z. Liao, Y. Song, Z. W. Xu and W. Y. Mei, “The role of red blood cell distribution width in mortality and cardiovascular risk among patients with coronary artery diseases: a systematic review and metaanalysis,” J. Thorac. Dis., vol. 6, no. 10, pp. 1429-1440, Oct. 2014.
[16] Y. Arbel, D. Weitzman, R. Raz, A. Steinvil, D. Zeltser, S. Berliner, G. Chodick, and V. Shalev, “Red blood cell distribution width and the risk of cardiovascular morbidity and all-cause mortality. A population-based study,” Thromb. Haemost.vol. 111, no. 2, pp. 300-307, Feb. 2014.
[17] Y. Borné, J. G. Smith, O. Melander and G. Engström, “Red cell distribution width in relation to incidence of coronary events and case fatality rates: a population-based cohort study,” Heart, vol. 100, no. 14, pp. 1119-1124, Jul. 2014.
[18] Y. L. Huang, Z. D. Hu, S. J. Liu, Y. Sun, Q. Qin, B. D. Qin, W. W. Zhang, J. R. Zhang, R. Q. Zhong and A. M. Deng, “Prognostic value of red blood cell distribution width for patients with heart failure: a systematic review and meta-analysis of cohort studies.” PLoS One, vol. 9, no. 8, pp. e104861, Aug. 2014.
[19] B. Fujita, D. Strodthoff, M. Fritzenwanger, A.Pfeil, M. Ferrari, B. Goebel, H. R. Figulla, N. Gerdes and C. Jung, “Altered red blood cell distribution width in overweight adolescents and its association with markers of inflammation,” Pediatr. Obes. vol. 8, no. 5, pp. 385–391, Oct. 2013.
[20] F. A. Caporal and S. R. Comar, “Evaluation of RDW-CV, RDW-SD, and MATH-1SD for the detection of erythrocyte anisocytosis observed by optical microscopy,” J. Bras. Patol. Med. Lab., vol. 49, no. 5, pp. 324-331, Sept-Oct. 2013.
[21] E. E. Coglianese, M. M. Qureshi, R. S. Vasan, T. J.Wang and L. L. Moore, “Usefulness of the Blood Hematocrit Level to Predict Development of Heart Failure in a Community,” Am. J. Cardiol., vol. 109, no. 2, pp. 241–245, Jan. 2012.
[22] E. Sola, A. Vaya, M. Simo, A. Hernandez-Mijares, C. Morillas, F. Espana, A. Estelles, D. Corella, “Fibrinogen, plasma viscosity and blood viscosity in obesity. Relationship with insulin resistance,” Clin. Hemorheol. Microcirc, vol. 37, no. 4, pp. 309-318, 2007.
[23] Y. Z. Jin, D. H. Zheng, Z. Y. Duan, Y. Z. Lin, X. Y. Zhang, J. R. Wang, S. Han, G. F. Wang and Y. J. Zhang, “Relationship between hematocrit level and cardiovascular risk factors in a community-based population.,” J. Clin. Lab. Anal., to be published.
[24] A. J. Hanley, R. Retnakaran, Y. Qi, H. C. Gerstein, B. Perkins, J. Raboud, S. B. Harris and B. Zinman, “Association of hematological parameters with insulin resistance and beta-cell dysfunction in nondiabetic subjects,” J.Clin. Endocrinol. Metab, vol.94, no. 10, pp. 3824-3832, Oct.2009.