Review


DOI :10.5222/j.child.2017.061   IUP :10.5222/j.child.2017.061    Full Text (PDF)

An Uncommon Method of Evaluating Nutritional Status: BIA

Mustafa ÖzçetinFidan KhalilovaAyşe Kılıç

An accurate estimate of body composition is important in the assessment and monitoring of nutrition. Knowing the normal growth rate of children helps early diagnosis of diseases and reduces unnecessary examinations. Different and effective methods for evaluating body compositions have been developed in recent years. Effective measurement of body composition is crucial in taking important health-related decisions in different branches of the clinical sciences. BIA has become a frequently used method in assessing the body composition of patients in clinics as a result of being safe, an indirect method, partly low cost, and an effective evaluation method.

DOI :10.5222/j.child.2017.061   IUP :10.5222/j.child.2017.061    Full Text (PDF)

Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA

Mustafa ÖzçetinFidan KhalilovaAyşe Kılıç

Vücut kompozisyonunun doğru bir tahmini beslenme değerlendirilmesinde ve izleminde önemlidir. Çocukların normal büyüme temposunun bilinmesi, hastalıkların erken tanısında yardımcı olur ve gereksiz tetkikleri azaltır. Vücut kompozisyonlarının değerlendirmesinde farklı ve etkin yöntemler son yıllarda geliştirilmiştir. Vücut kompozisyonunun etkin bir şekilde ölçümü klinik bilimlerinin farklı dallarında sağlıkla ilgili önemli kararların alınmasında yaşamsal rol oynamaktadır. BIA güvenli olması, indirekt bir yöntem olması, kısmen düşük maliyeti içermesi, etkili bir değerlendirme yöntemi olması gibi nedenler sonucunda kliniklerde, hastaların vücut kompozisyonlarının değerlendirilmesinde sık kullanılan bir yöntem hâline gelmiştir.


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References

  • 1. Green CK, Teague EE. Pediatric nutrition assessment. Nutr Clin Pract 2017;32:40-51. https://doi.org/10.1177/0884533616679639 google scholar
  • 2. Thomas B. Manuel of dietetic practice London, British Dietetic Association 1988;275-282. google scholar
  • 3. Heird WC. Parenteral alimentation of the neonate. Semin Perinatol 1991;15:493-502. google scholar
  • 4. Gifford KD. Dietary fats, eating guides, and public policy: History, critique, and recommendations. American Journal of Medicine 2002;113:89-106. https://doi.org/10.1016/S0002-9343(01)00996-2 google scholar
  • 5. Burke LE, Conroy MB, Sereika SM, Elci OU, Styn MA, Acharya SD, et al. The effect of electronic selfmonitoring on weight loss and dietary intake: a randomized behavioral weight loss trial. Obesity 2011;19: 338-44. https://doi.org/10.1038/oby.2010.208 google scholar
  • 6. Li C, Ford ES, Mokdad AH, Cook S. Recent trends in waist circumference and waist-height ratio among us children and adolescents. Pediatrics 2006;118: e1390-8. https://doi.org/10.1542/peds.2006-1062 google scholar
  • 7. Neyzi O, Furman A, Bundak R, Gunoz H, Darendeliler F and Bas F. Growth references for Turkish children aged 6 to 18 years. Acta Paediatr 2006;95:1635-41. https://doi.org/10.1080/08035250600652013 google scholar
  • 8. Gunoz H, Bundak R, Furman A, Darendeliler F, Saka N, Bas F, et al. Z-score reference values for height in Turkish children aged 6 to 18 years. J Clin Res Pediatr Endocrinol 2014;6:28-33. https://doi.org/10.4274/Jcrpe.1260 google scholar
  • 9. Lee SY, Gallagher D. Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care 2008;11:566-72. https://doi.org/10.1097/MCO.0b013e32830b5f23 google scholar
  • 10. Ramstack M, Listernick R. Safety and efficacy of a new pediatric enteral product in the young child. JPEN J Parenter Enteral Nutr 1991;15:89-92. https://doi.org/10.1177/014860719101500189 google scholar
  • 11. Cheek DB. Human growth: body composition, cell growth, energy and intelligence Philadelphia, Lea and Febiger 1968;21-38. google scholar
  • 12. Lukaski HC. Methods for the assessment of human body composition: traditional and new. Am J Clin Nutr 1987;46:537-56. google scholar
  • 13. Savva SC, Tornaritis M, Savva ME, et al. Waist circumference and waist-to-height ratio are better predictors of cardiovascular disease risk factors in children than body mass index. Int J Obes Relat Metab Disord 2000;24:1453-8. https://doi.org/10.1038/sj.ijo.0801401 Çocuk Dergisi 17(2):61-66, 2017 66 google scholar
  • 14. Xie X, Kolthoff N, Barenholt O, Nielsen SP. Validation of a leg-to-leg bioimpedance analysis system in assessing body composition in postmenopausal women. Int J Obes Relat Metab Disord 1999;23:1079-84. https://doi.org/10.1038/sj.ijo.0801034 google scholar
  • 15. Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of waist circumference, waist-to-hip ratio, and the conicity index as screening tools for high trunk fat mass, as measured by dual-energy X-ray absorptiometry, in children aged 3-19 y. Am J Clin Nutr 2000;72: 490-5. google scholar
  • 16. Wells JC, Williams JE, Chomtho S, Darch T, Grijalva-Eternod C, Kennedy K, et al. Bodycomposition reference data for simple and reference techniques and a 4-component model: a new UK reference child. Am J Clin Nutr 2012;96:1316-26. https://doi.org/10.3945/ajcn.112.036970 google scholar
  • 17. Webber J, Donaldson M, Allison S, MacDonald I. A comparison of skinfold thickness, body mass index, bioelectrical impedance analysis and dual energy X-ray absorbtiometry in assessing body composition in obese subjects before and after weight loss. Clin Nutr 1994;38:299-306. google scholar
  • 18. Holick MF. The D-lemma: To screen or not to screen for 25-hydroxyvitamin D concentrations. Clinical Chemistry 2010;56:729-31. https://doi.org/10.1373/clinchem.2009.139253 google scholar
  • 19. Lee SY, Gallager D. Asssessment methods in human body composition. Curr Opin Clin Nutr Metab Care 2008;11:566. https://doi.org/10.1097/MCO.0b013e32830b5f23 google scholar
  • 20. Heymsfield SB, Wang Z, Visser M, Gallagher D. Techniques used in the measurement of body composition: An overview with emphasis on bioelectrical impedance analysis. Am J Clin Nutr 1996;64:478-84. google scholar
  • 21. Pietrobelli A, Rubiano F, St-Onge MP, Heymsfield SB. New bioimpedance analysis system: improved phenotyping with whole-body analysis. Eur J Clin Nutr 2004;58:1479-84. https://doi.org/10.1038/sj.ejcn.1601993 google scholar
  • 22. Tyrrell VJ, Richards G, Hofman P, et al. Foot-to-foot bioelectrical impedance analysis: a valuable tool for the measurement of body composition in children. Int J Obes Relat Metab Disord 2001;25:273-8. https://doi.org/10.1038/sj.ijo.0801531 google scholar
  • 23. Guida B, Trio R, Nastasi A, et al. Body composition and cardiovascular risk factors in pretransplant hemodialysis patients. Clin Nutr 2004;23:363-72. https://doi.org/10.1016/j.clnu.2003.08.007 google scholar
  • 24. Thomasset A. Bio-electrical properties of tissue impedance measurements. Lyon Med 1962;207:107-18. google scholar
  • 25. Hoffer EC, Clifton KM, Simpson DC. Correlation of wholebody impedance with total body volume. J Appl Physiol 1969;27:531-4. google scholar
  • 26. Nyboer J. Electrical impedance plethysmograph, 2nd ed. Springfield, IL: CC Thomas; 1970. google scholar
  • 27. Kyle UG, Bosaeus I, De Lorenzo AD, et al. Bioelectrical impedance analysis--part I: review of principles and methods. Clin Nutr 2004;23:1226-43. https://doi.org/10.1016/j.clnu.2004.06.004 google scholar
  • 28. Barbosa-Silva MC, Barros AJ, Post CL, Waitzberg DL, Heymsfield SB. Can bioelectrical impedance analysis identify malnutrition in preoperative nutrition assessment? Nutrition 2003;19:422-6. https://doi.org/10.1016/S0899-9007(02)00932-2 google scholar
  • 29. Schwenk A, Beisenherz A, Romer K, Kremer G, Salzberger B, Elia M. Phase angle from bioelectrical impedance analysis remains an independent predictive marker in HIV-infected patients in the era of highly active antiretroviral treatment. Am J Clin Nutr 2000;72:496-501. google scholar
  • 30. Digant G, Christopher GL, Sadie LD, et al. The relationship between bioelectrical impedance phase angle and subjective global assessment in advanced colorectal cancer. Nutr J 2008;7:19. https://doi.org/10.1186/1475-2891-7-19 google scholar
  • 31. Kyle UG, Earthman CP, C Pichard, Coss-Bu JA. Body composition during growth in children: limitations and perspectives of bioelectrical impedance analysis. Eur J ClinNutr 2015;69;1298-1305. https://doi.org/10.1038/ejcn.2015.86 google scholar
  • 32. Xiong KY, He H, Zhang YM, Ni GX. Analyses of body composition charts among younger and older Chinese children and adolescents aged 5 to 18 years. BMC Public Health 2012;12:835. https://doi.org/10.1186/1471-2458-12-835 google scholar
  • 33. Liu A, Byrne NM, Ma G, Nasreddine L, Trinidad TP, Kijboonchoo K, et al. Validation of bioelectrical impedance analysis for total body water assessment against the deuterium dilution technique in Asian children. Eur J Clin Nutr 2011;65:1321-7. https://doi.org/10.1038/ejcn.2011.122 google scholar
  • 34. Ellis KJ, Abrams SA, Wong WW. Body composition reference data for a young multiethnic female population. Appl Radiat Isot 1998;49:587-8. https://doi.org/10.1016/S0969-8043(97)00077-8 google scholar
  • 35. Wedin WK, Diaz-Gimenez L, Convit AJ. Prediction of insulin resistance with anthropometric measures: lessons from a large adolescent population. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2012;5:219-25. google scholar
  • 36. Lee L-W, Liao Y-S, Lu H-K, Hsiao P-L, Chen Y-Y, Chi C-C, et al. Validationof two portable bioelectrical impedance analyses for the assessment of body compositionin school age children. PLoS ONE 2017;12: e0171568. https://doi.org/10.1371/ journal.pone.0171568 google scholar
  • 37. Zhu F, Schneditz D, Levin NW. Sum of segmental bioimpedance analysis during ultrafiltration and hemodialysis reduces sensitivity to changes in body position. Kidney Int 1999;56:692-9. https://doi.org/10.1046/j.1523-1755.1999.00588.x google scholar
  • 38. Pirlich M, Schutz T, Spachos T, et al. Bioelectrical impedance analysis is a useful bedside technique to assess malnutrition in cirrhotic patients with and without ascites. Hepatology 2000;32:1208-15. https://doi.org/10.1053/jhep.2000.20524 google scholar

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APA

Özçetin, M., Khalilova, F., & Kılıç, A. (2017). An Uncommon Method of Evaluating Nutritional Status: BIA. Journal of Child, 17(2), 61-66. https://doi.org/10.5222/j.child.2017.061


AMA

Özçetin M, Khalilova F, Kılıç A. An Uncommon Method of Evaluating Nutritional Status: BIA. Journal of Child. 2017;17(2):61-66. https://doi.org/10.5222/j.child.2017.061


ABNT

Özçetin, M.; Khalilova, F.; Kılıç, A. An Uncommon Method of Evaluating Nutritional Status: BIA. Journal of Child, [Publisher Location], v. 17, n. 2, p. 61-66, 2017.


Chicago: Author-Date Style

Özçetin, Mustafa, and Fidan Khalilova and Ayşe Kılıç. 2017. “An Uncommon Method of Evaluating Nutritional Status: BIA.” Journal of Child 17, no. 2: 61-66. https://doi.org/10.5222/j.child.2017.061


Chicago: Humanities Style

Özçetin, Mustafa, and Fidan Khalilova and Ayşe Kılıç. An Uncommon Method of Evaluating Nutritional Status: BIA.” Journal of Child 17, no. 2 (Apr. 2024): 61-66. https://doi.org/10.5222/j.child.2017.061


Harvard: Australian Style

Özçetin, M & Khalilova, F & Kılıç, A 2017, 'An Uncommon Method of Evaluating Nutritional Status: BIA', Journal of Child, vol. 17, no. 2, pp. 61-66, viewed 25 Apr. 2024, https://doi.org/10.5222/j.child.2017.061


Harvard: Author-Date Style

Özçetin, M. and Khalilova, F. and Kılıç, A. (2017) ‘An Uncommon Method of Evaluating Nutritional Status: BIA’, Journal of Child, 17(2), pp. 61-66. https://doi.org/10.5222/j.child.2017.061 (25 Apr. 2024).


MLA

Özçetin, Mustafa, and Fidan Khalilova and Ayşe Kılıç. An Uncommon Method of Evaluating Nutritional Status: BIA.” Journal of Child, vol. 17, no. 2, 2017, pp. 61-66. [Database Container], https://doi.org/10.5222/j.child.2017.061


Vancouver

Özçetin M, Khalilova F, Kılıç A. An Uncommon Method of Evaluating Nutritional Status: BIA. Journal of Child [Internet]. 25 Apr. 2024 [cited 25 Apr. 2024];17(2):61-66. Available from: https://doi.org/10.5222/j.child.2017.061 doi: 10.5222/j.child.2017.061


ISNAD

Özçetin, Mustafa - Khalilova, Fidan - Kılıç, Ayşe. An Uncommon Method of Evaluating Nutritional Status: BIA”. Journal of Child 17/2 (Apr. 2024): 61-66. https://doi.org/10.5222/j.child.2017.061



TIMELINE


Submitted15.05.2017
Accepted25.05.2017

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