Journals / Turkish Journal of Pediatrics / 2020 / Cilt: 62 - Sayı: 1

Red blood cell variables and correlations with body mass components in boys aged 10-17 years

Pages
53–60
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Our findings showed that the relationship between anthropometric measures and RBC variables in healthy physically active boys were positively correlated, but the level of association was higher with skeletal muscle mass.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The objective of this study was to analyze the hematologic parameters and their correlation with body composition components in healthy boys at pubertal age.
📊
Key Findings & Data:One hundred and ninety physically active male subjects, aged 10 to 17 years, mean age 13.87 ±4.5 years, were included in the study.
💡
Conclusion & Impact:Our findings showed that the relationship between anthropometric measures and RBC variables in healthy physically active boys were positively correlated, but the level of association was higher with skeletal muscle mass.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

The objective of this study was to analyze the hematologic parameters and their correlation with body composition components in healthy boys at pubertal age. One hundred and ninety physically active male subjects, aged 10 to 17 years, mean age 13.87 ±4.5 years, were included in the study. Capillary blood was drawn from all subjects and the following hematologic parameters were measured: RBC, Hct, Hb, MCV, MCH, MCHC. The following body components derived from Matiegka anthropometric method were assessed: muscle mass (MM), bone mass (BM), and body fat mass (BF). The mean values (±SD) of hematologic parameters were: RBC= 4.87±0.41 x 1012/L, Hb=14.24±1.24 g/dL, Hct=43.83±3.8%. Anthropometric characteristics were as follows: body mass index (BMI) = 20.26± 3.27 kg/m2, relative muscle mass (MM%) = 53.18± 3.19%, bone mass (BM%) = 18.83±2.4% and body fat percentage (BF%) = 15.19± 2.64%. Correlation analysis between hematologic parameters and body composition showed a moderate to strong correlation between RBC, Hb and Hct and all body components. The strongest correlations were found between Hb and Hct, and muscle mass (r= 0.60; r= 0.61) and lean body mass (r= 0.59). The body fat mass showed also a positive association with RBC (r=0.47); Hb (r=0.47) and Hct (r=0.48). Our findings showed that the relationship between anthropometric measures and RBC variables in healthy physically active boys were positively correlated, but the level of association was higher with skeletal muscle mass.

🔖

Cite This Article

GLIGOROSKA, J. P., GONTAREV, S., MALESKA, V., EFREMOVA, L., STOJMANOVA, D. S., MANCHEVSKA, S. (2020). Red blood cell variables and correlations with body mass components in boys aged 10-17 years. Turkish Journal of Pediatrics, Cilt: 62 - Sayı: 1, 53–60. https://ajindex.com/articles/411976

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (13)

  1. Loomba-Albrecht LA, Styne DM. Effect of puberty on body composition. Curr Opin Endocrinol Diabetes Obes 2009
  2. Siervogel RM, Demerath EW, Schubert C, et al. Puberty and body composition. Horm Res 2003
  3. 60(Suppl 1): 36-45. 3.Boyne MS, Thame M, Osmond C, et al. Growth, body composition, and the onset of puberty: longitudinal observations in afro-caribbean children. J Clin Endocrinol Metab 2010
  4. Jacob EA. Hematological differences in newborn and aging: a review study. Hematol Transfus Int J 2016
  5. Nutrition in adolescence - Issues and Challenges for the Health Sector. Issues in Adolescent Health and Development. WHO Library Cataloguing-in-Publication Data 2005. Retrieved on July 21 2017from http://apps.who.int/iris/bitstream/10665/43342/1/9241593660_eng.pdf 6.Newbold K, Jacobson MS. Adolescent Nutrition: Assessment and Management. New York: Chapman & Hall, 1996: 677-679. 7.DiMeglio G. Nutrition in adolescence. Pediatr Rev 2000
  6. Stang J, Story M. Nutrition Screening, Assessment and Intervention. Guidelines for Adolescent Nutrition Services. 2005: 35-54. htpp://www.epi.umn.edu/let/pubs/adol_book.shtm (Retrieved on June 28 2017) 9.Khan Z, Nawaz M, Khan A, Bacha U. Hemoglobin, red blood cell count, hematocrit and derived parameters for diagnosing anemia in elderly males. Proc Pakistan Acad Sci 2013
  7. Gore CJ, Hopkins WG, Burge CM. Errors of measurement for blood volume parameters: a meta-analysis. J Appl Physiol 2005
  8. Sawka MN, Young AJ, Pandolf KB, Dennis RC, Valerie CR. Erythrocyte, plasma, and blood volume of healthy young men. Med Sci Sport Exerc 1992
  9. Pinhas-Hamiel O, Newfield RS, Koren I, Agmon A, Lilos P, Phillip M. Greater prevalence of iron deficiency in overweight children and adolescents: a risk group for iron deficiency. Int J Obes Relat Metab Disord 2003
  10. Nead KG, Halterman JS, Kaczorowsky JM, Auinger P, Weitzman M. Overweight children and adolescents: a risk group for iron deficiency. Pediatrics 2004
  11. Yanoff LB, Menzie CM, Denkinger B, et al. Inflammation and iron deficiency in the hypoferremia of obesity. Int J Obes (Lond) 2007
  12. Micozzi MS, Albanes D, Stevens RG. Relation of body size and composition to clinical biochemical and hematological indices in US men and woman. Am J Clin Nutr 1989
  13. Brotanek JM, Gosz J, Weitzman M, Flores G. Iron deficiency in early childhood in the Un