BibTex RIS Kaynak Göster

Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA

Yıl 2017, Cilt: 17 Sayı: 2, 61 - 66, 01.04.2017
https://doi.org/10.5222/j.child.2017.061

Öz

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

Kaynakça

  • Green CK, teague ee. Pediatric nutrition assessment. Nutr Clin Pract 2017;32:40-51.
  • https://doi.org/10.1177/0884533616679639
  • thomas B. Manuel of dietetic practice London, British Dietetic Association 1988;275-282.
  • heird WC. Parenteral alimentation of the neonate. Semin Perinatol 1991;15:493-502.
  • 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
  • Burke le, Conroy MB, Sereika SM, elci oU, Styn MA, Acharya SD, et al. The effect of electronic self- monitoring on weight loss and dietary intake: a rando- mized behavioral weight loss trial. Obesity 2011;19: 338-44.
  • https://doi.org/10.1038/oby.2010.208
  • 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
  • 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
  • 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
  • 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
  • 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
  • Cheek DB. Human growth: body composition, cell growth, energy and intelligence Philadelphia, Lea and Febiger 1968;21-38.
  • lukaski hC. Methods for the assessment of human body composition: traditional and new. Am J Clin Nutr 1987;46:537-56.
  • Savva SC, tornaritis M, Savva Me, et al. Waist cir- cumference and waist-to-height ratio are better predic- tors 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
  • Xie X, Kolthoff n, Barenholt o, nielsen SP. Validation of a leg-to-leg bioimpedance analysis system in asses- sing body composition in postmenopausal women. Int J Obes Relat Metab Disord 1999;23:1079-84.
  • https://doi.org/10.1038/sj.ijo.0801034
  • taylor RW, Jones ıe, 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 absorptio- metry, in children aged 3-19 y. Am J Clin Nutr 2000;72: 490-5.
  • Wells JC, Williams Je, Chomtho S, Darch t, Grijalva-eternod C, Kennedy K, et al. Body- composition reference data for simple and reference techniques and a 4-component model: a new UK refe- rence child. Am J Clin Nutr 2012;96:1316-26.
  • https://doi.org/10.3945/ajcn.112.036970
  • Webber J, Donaldson M, Allison S, MacDonald ı. 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.
  • 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
  • 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
  • heymsfield SB, Wang z, visser M, Gallagher D. Techniques used in the measurement of body composi- tion: An overview with emphasis on bioelectrical impe- dance analysis. Am J Clin Nutr 1996;64:478-84.
  • 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
  • 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
  • Guida B, trio R, nastasi A, et al. Body composition and cardiovascular risk factors in pretransplant hemo- dialysis patients. Clin Nutr 2004;23:363-72.
  • https://doi.org/10.1016/j.clnu.2003.08.007
  • thomasset A. Bio-electrical properties of tissue impe- dance measurements. Lyon Med 1962;207:107-18.
  • hoffer eC, Clifton KM, Simpson DC. Correlation of wholebody impedance with total body volume. J Appl Physiol 1969;27:531-4.
  • nyboer J. Electrical impedance plethysmograph, 2nd ed. Springfield, IL: CC Thomas; 1970.
  • Kyle UG, Bosaeus ı, 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
  • 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
  • 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.
  • 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
  • Kyle UG, earthman CP, C Pichard, Coss-Bu JA. Body composition during growth in children: limitati- ons and perspectives of bioelectrical impedance analy- sis. Eur J ClinNutr 2015;69;1298-1305.
  • https://doi.org/10.1038/ejcn.2015.86
  • 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
  • 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 child- ren. Eur J Clin Nutr 2011;65:1321-7.
  • https://doi.org/10.1038/ejcn.2011.122
  • ellis KJ, Abrams SA, Wong WW. Body composition reference data for a young multiethnic female populati- on. Appl Radiat Isot 1998;49:587-8.
  • https://doi.org/10.1016/S0969-8043(97)00077-8
  • 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.
  • 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 compo- sitionin school age children. PLoS ONE 2017;12: e0171568.
  • https://doi.org/10.1371/ journal.pone.0171568
  • zhu F, Schneditz D, levin nW. Sum of segmental bioimpedance analysis during ultrafiltration and hemo- dialysis reduces sensitivity to changes in body position. Kidney Int 1999;56:692-9.
  • https://doi.org/10.1046/j.1523-1755.1999.00588.x
  • Pirlich M, Schutz t, Spachos t, et al. Bioelectrical impedance analysis is a useful bedside technique to assess malnutrition in cirrhotic patients with and witho- ut ascites. Hepatology 2000;32:1208-15.
  • https://doi.org/10.1053/jhep.2000.20524

An Uncommon Method of Evaluating Nutritional Status: BIA

Yıl 2017, Cilt: 17 Sayı: 2, 61 - 66, 01.04.2017
https://doi.org/10.5222/j.child.2017.061

Öz

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 measure- ment of body composition is crucial in taking important health-related decisions in different branches of the clini- cal 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

Kaynakça

  • Green CK, teague ee. Pediatric nutrition assessment. Nutr Clin Pract 2017;32:40-51.
  • https://doi.org/10.1177/0884533616679639
  • thomas B. Manuel of dietetic practice London, British Dietetic Association 1988;275-282.
  • heird WC. Parenteral alimentation of the neonate. Semin Perinatol 1991;15:493-502.
  • 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
  • Burke le, Conroy MB, Sereika SM, elci oU, Styn MA, Acharya SD, et al. The effect of electronic self- monitoring on weight loss and dietary intake: a rando- mized behavioral weight loss trial. Obesity 2011;19: 338-44.
  • https://doi.org/10.1038/oby.2010.208
  • 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
  • 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
  • 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
  • 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
  • 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
  • Cheek DB. Human growth: body composition, cell growth, energy and intelligence Philadelphia, Lea and Febiger 1968;21-38.
  • lukaski hC. Methods for the assessment of human body composition: traditional and new. Am J Clin Nutr 1987;46:537-56.
  • Savva SC, tornaritis M, Savva Me, et al. Waist cir- cumference and waist-to-height ratio are better predic- tors 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
  • Xie X, Kolthoff n, Barenholt o, nielsen SP. Validation of a leg-to-leg bioimpedance analysis system in asses- sing body composition in postmenopausal women. Int J Obes Relat Metab Disord 1999;23:1079-84.
  • https://doi.org/10.1038/sj.ijo.0801034
  • taylor RW, Jones ıe, 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 absorptio- metry, in children aged 3-19 y. Am J Clin Nutr 2000;72: 490-5.
  • Wells JC, Williams Je, Chomtho S, Darch t, Grijalva-eternod C, Kennedy K, et al. Body- composition reference data for simple and reference techniques and a 4-component model: a new UK refe- rence child. Am J Clin Nutr 2012;96:1316-26.
  • https://doi.org/10.3945/ajcn.112.036970
  • Webber J, Donaldson M, Allison S, MacDonald ı. 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.
  • 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
  • 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
  • heymsfield SB, Wang z, visser M, Gallagher D. Techniques used in the measurement of body composi- tion: An overview with emphasis on bioelectrical impe- dance analysis. Am J Clin Nutr 1996;64:478-84.
  • 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
  • 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
  • Guida B, trio R, nastasi A, et al. Body composition and cardiovascular risk factors in pretransplant hemo- dialysis patients. Clin Nutr 2004;23:363-72.
  • https://doi.org/10.1016/j.clnu.2003.08.007
  • thomasset A. Bio-electrical properties of tissue impe- dance measurements. Lyon Med 1962;207:107-18.
  • hoffer eC, Clifton KM, Simpson DC. Correlation of wholebody impedance with total body volume. J Appl Physiol 1969;27:531-4.
  • nyboer J. Electrical impedance plethysmograph, 2nd ed. Springfield, IL: CC Thomas; 1970.
  • Kyle UG, Bosaeus ı, 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
  • 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
  • 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.
  • 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
  • Kyle UG, earthman CP, C Pichard, Coss-Bu JA. Body composition during growth in children: limitati- ons and perspectives of bioelectrical impedance analy- sis. Eur J ClinNutr 2015;69;1298-1305.
  • https://doi.org/10.1038/ejcn.2015.86
  • 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
  • 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 child- ren. Eur J Clin Nutr 2011;65:1321-7.
  • https://doi.org/10.1038/ejcn.2011.122
  • ellis KJ, Abrams SA, Wong WW. Body composition reference data for a young multiethnic female populati- on. Appl Radiat Isot 1998;49:587-8.
  • https://doi.org/10.1016/S0969-8043(97)00077-8
  • 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.
  • 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 compo- sitionin school age children. PLoS ONE 2017;12: e0171568.
  • https://doi.org/10.1371/ journal.pone.0171568
  • zhu F, Schneditz D, levin nW. Sum of segmental bioimpedance analysis during ultrafiltration and hemo- dialysis reduces sensitivity to changes in body position. Kidney Int 1999;56:692-9.
  • https://doi.org/10.1046/j.1523-1755.1999.00588.x
  • Pirlich M, Schutz t, Spachos t, et al. Bioelectrical impedance analysis is a useful bedside technique to assess malnutrition in cirrhotic patients with and witho- ut ascites. Hepatology 2000;32:1208-15.
  • https://doi.org/10.1053/jhep.2000.20524
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Mustafa Özçetin Bu kişi benim

Fidan Khalilova Bu kişi benim

Ayşe Kılıç Bu kişi benim

Yayımlanma Tarihi 1 Nisan 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 17 Sayı: 2

Kaynak Göster

APA Özçetin, M., Khalilova, F., & Kılıç, A. (2017). Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA. Journal of Child, 17(2), 61-66. https://doi.org/10.5222/j.child.2017.061
AMA Özçetin M, Khalilova F, Kılıç A. Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA. Journal of Child. Nisan 2017;17(2):61-66. doi:10.5222/j.child.2017.061
Chicago Özçetin, Mustafa, Fidan Khalilova, ve Ayşe Kılıç. “Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA”. Journal of Child 17, sy. 2 (Nisan 2017): 61-66. https://doi.org/10.5222/j.child.2017.061.
EndNote Özçetin M, Khalilova F, Kılıç A (01 Nisan 2017) Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA. Journal of Child 17 2 61–66.
IEEE M. Özçetin, F. Khalilova, ve A. Kılıç, “Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA”, Journal of Child, c. 17, sy. 2, ss. 61–66, 2017, doi: 10.5222/j.child.2017.061.
ISNAD Özçetin, Mustafa vd. “Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA”. Journal of Child 17/2 (Nisan 2017), 61-66. https://doi.org/10.5222/j.child.2017.061.
JAMA Özçetin M, Khalilova F, Kılıç A. Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA. Journal of Child. 2017;17:61–66.
MLA Özçetin, Mustafa vd. “Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA”. Journal of Child, c. 17, sy. 2, 2017, ss. 61-66, doi:10.5222/j.child.2017.061.
Vancouver Özçetin M, Khalilova F, Kılıç A. Beslenme Durumunun Değerlendirilmesinde Sıra Dışı Bir Yöntem: BİA. Journal of Child. 2017;17(2):61-6.