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The Nutritional Assessment in Children - Understanding of Anthropometric Assessment and Biochemical Indexes in Children

소아의 영양 평가 - 소아 신체계측과 생화학적 지표의 특성을 중심으로

  • Park, Kie Young (Department of Pediatrics, College of Medicine, Ulsan University, Gangneung Asan Hospital)
  • 박기영 (울산대학교 의과대학 강릉아산병원 소아청소년과학교실)
  • Received : 2009.10.31
  • Accepted : 2009.11.06
  • Published : 20091100

Abstract

Nutritional assessment is based on anthropometric, clinical, dietary and biochemical data. There is a lack of studies about the propriety of biochemical indexes for the nutritional assessment in children despite biochemical data in pediatric population are different from them in adult's in many respects. Serum albumin is useful index to evaluate the severity of malnutrition. Hemoglobin and hematocrit tend to decrease in malnutrition on account of defect of iron metabolism and to increase in metabolic syndrome on account of enhancement of erythropoiesis. But, unlike adult, total lymphocyte count is not so useful biochemical indexes in children. We should consider pediatric characteristic when interpret biochemical indexes for nutritional assessment in children, and nutritional status in children should be assessed comprehensively with anthropometric, clinical, dietary and biochemical data.

Keywords

References

  1. Ekvall SW, Ekvall VK, Walberg-Wolfe J, Nehring W. Nutritional Assessment-All levels and age. In: Ekvall SW, Ekvall VK, editors. Pediatric nutrition in chronic diseases and developmental disorders. 2nd ed. New York: Oxford University Press, 2005;35-62.
  2. Sitges-Serra A, Franch-Arcas G. Nutrition assessment. In: Payne-James J, Grimble GK, Silk DA, editors. Artificial nutrition support in clinical practice. 2nd ed. London: Greenwich Medical Media Limited, 2001;165-76.
  3. Bear MT, Harris AB. Pediatric nutrition assessment: identifying children at risk. J Am diet Assoc 1997;97(10 Suppl 2):107S-15S. https://doi.org/10.1016/S0002-8223(97)00741-4
  4. Rashidian F, Emminger W, Huber WD, Barris-Riedl M, Fritsch M, Reithofer E, et al. Malnutrition in hospitalized children aged 3-18 years. Ernahrungsmed 2007;9:13-7.
  5. Ohls RK, Christensen RD. Development of the hematopoietic system. In: Behrman RE, Kliegman RM, Jenson HB, Glader B, editors. Nelson Textbook of Pediatrics. 17th ed. Philadelphia: Saunders Co, 2004; 1599-606.
  6. Nicholson JF, Pesce MA. Reference ranges for laboratory tests and procedures. In: Behrman RE, Kliegman RM, Jenson HB, Glader B, editors. Nelson Textbook of Pediatrics. 17th ed. Philadelphia: Saunders Co, 2004; 2396-427.
  7. Barlow SE, Dietz WH. Obesity evaluation and treatment: expert committee recommendations. Pediatrics 1998;102: 1-11. https://doi.org/10.1542/peds.102.1.1
  8. Cardoso LE, Falcao MC. Nutritional assessment of very low birth weight infants: relationships between anthropometric and biochemical parameters. Nutr Hosp 2007; 22:322-9.
  9. Saito H, Nomura K, Hotta M, Takano K. Malnutrition induces dissociated changes in lymphocyte count and subset proportion in patients with anorexia nervosa. Int J Eat Disord 2007;40:575-9. https://doi.org/10.1002/eat.20417
  10. Secker DJ, Jeejeebhoy KN. Subjective Global Nutritional Assessment for children. Am J Clin Nutr 2007;85:1083-9.
  11. Kim JK, Jin HS, Han MK, Kim BS, Cha CH, Park KY. The effectiveness of biochemical indexes for nutrition state evaluation of children. Korean J Pediatr. In press 2009;52:167-75. https://doi.org/10.3345/kjp.2009.52.2.167
  12. Kuzuya M, Kanda S, Koike T, Suzuki Y, Iguchi A. Lack of correlation between total lymphocyte count and nutritional status in the elderly. Clin Nutr 2005;24:427-32. https://doi.org/10.1016/j.clnu.2005.01.003
  13. Hong JI, Choi YS, Kim JA, Kim SH, Jung HH. Association between metabolic syndrome and hematologic parameters. Korean J Health Promot Dis Prev 2005;5:90-6.
  14. Yoon WS, Lee MS, Yu BC, Lee YH. Association between white and red blood cell counts in peripheral blood and metabolic syndrome. Korean J Obes 2007;16:154-61.
  15. Aoki I, Taniyama M, Toyama K, Homori M, Ishikawa K. Stimulatory effects of human insulin on erythroid progenitors (CFU-E and BFU-E) in human DC34+ separated bone marrow cells and the relationship between insulin and erythropoietin. Stem Cells 1994;12:329-38. https://doi.org/10.1002/stem.5530120309
  16. Bersch N, Groopman JE, Golde DW. Natural and synthetic insulin stimulates the growth of human erythroid progenitors in vitro. J Clin Endocrinol Metab 1982;55: 1209-11. https://doi.org/10.1210/jcem-55-6-1209
  17. Facchini FS, Carantoni M, Jeppesen J, Reaven GM. Hematocrit and hemoglobin are independently relate to insulin resistance and compensatory hyperinsulinemia in healthy, non-obese men and women. Metaboism 1998;47: 831-5.
  18. Brun JF, Aloulou I, Varlet-Marie E. Hemorheological aspects of the metabolic syndrome: markers of insulin resistance, obesity or hyperinsulinemia? Clin Hemorheol Microcirc 2004;30:203-9.
  19. Tateishi N, Suzuki Y, Shirai M, Cicha I, Maeda N. Reduced oxygen release from erythrocytes by the acceleration-induced flow shift, observed in an oxygenpermeable narrow tube. J Biomech 2002;35:1241-51. https://doi.org/10.1016/S0021-9290(02)00068-4
  20. Bishop JJ, Nance PR, Popel AS, Intaglietta M, Johnson PC. Effect of erythrocyte aggregation on velocity profiles in venules. Am J Physiol Heart Circ Physiol 2001; 280:H222-36.
  21. Lee GE, Park HS. Relationship between white blood cell counts and the metabolic syndrome. Korean J Obes. 2004;13:179-86.
  22. Hwang ST, Kim BS, Hwang SJ, Suh JY, Kim BJ, Lee WY, et al. Associations between white blood cell count and features of the metabolic syndrome. Korean Circ J 2004;34:280-7.
  23. Nakanishi N, Suzuki K, Tatara K. White blood cell count and clustered features of metabolic syndrome in japanese male office workers. Occup Med(Lond) 2002;52:213-8. https://doi.org/10.1093/occmed/52.4.213
  24. Wang YY, Lin SY, Liu PH, Cheung BM, Lai WA. Association between hematological parameters and metabolic syndrome components in a Chinese population. J Diabetes Complications 2004;18:322-7. https://doi.org/10.1016/S1056-8727(04)00003-0