BibTex RIS Cite

Türk kadınlarında metabolik sendromu öngörmede antropometrik ölçümlerin etkinliği ve kesim noktaları

Year 2017, Volume: 27 Issue: 3, 84 - 90, 01.09.2017

Sultan Keskin Demircan Fatma Kaplan Efe Ömer Dönderici Fatma Gülden

Abstract

Amaç: Metabolik sendromun MS öngörülmesinde, Türk kadın toplumu için uygun olan antropometrik yöntemlerin ve kesim noktalarının incelenmesi. Gereç ve Yöntem: Çalışmaya alınan 202 bayan hastada bel çevresi BÇ , bel/kalça oranı BKO , beden kitle indeksi BKİ , kol çevresi KÇ , kalipırla cilt kalınlığı toplamı CKT , biyoelektrik impedans ile vücut yağ yüzdesi VYY ve yağsız vücut kitlesi FFM ölçüldü. Kan şekeri, lipit düzeyi ve kan basıncı ölçüldü. Antropometrik ölçümleri dışlayarak iki farklı MS tanımı yaptık. İlk tanımlamada yüksek trigliserit TG ve düşük HDL ayrı kriterlerdi, ikinci tanımlamada yüksek TG ve/veya düşük HDL ve/veya TG/HDL≥3 sahip olmak tek bir kriter olarak tanımlandı. Yüksek TG, düşük HDL, disglisemi ve hipertansiyondan üç veya daha fazlasını karşılayanları tespit etmede antropometrik ölçümlerin etkinlik, duyarlılık, özgüllüklerini tespit etmede ROC analizi ile değerlendirildi.Bulgular: MS parametrelerinden disglisemi, düşük HDL, yüksek trigliserit ve hipertansiyon kriterlerinden üç veya daha fazlasını saptamada antropometrik ölçümler kıyaslandığında, BKİ, BÇ, VYY, BKO ve KÇ anlamlı bulundu p

Keywords

Antropometrik ölçümler metabolik sendrom beden kitle indeksi bel çevresi

References

  • Serena Low, Mien Chew Chin, Stefan Ma, Derrick Heng, Mabel Deurenberg. Rationale for Redefining Obesity in Asians. Ann Acad Med Singapore 2009;38:66-74.
  • Taylor AE, Ebrahim S, Ben-Shlomo Y, Martin RM, Whin- cup PH, et al. Comparison of the associations of body mass index and measures of central adiposity and fat mass with coronary heart disease, diabetes, and all-cause mortality: a study using data from 4 UK cohorts. Am J Clin Nutr 2010; 91:547-56.
  • Ho SC, Chen YM, Woo JL, Leung SS, Lam TH, et al. Asso- ciation between simple anthropometric indices and cardi- ovascular risk factors. Int J Obes Relat Metab Disord 2001; 25:1689-97.
  • Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW. Body mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med 1999;7;341:1097-105.
  • Norgan NG. Population differences in body composition in relation to the body mass index. Eur J Clin Nutr 1994;48:10- 25.
  • Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, et al. How useful is BMI for comparison of body fat- ness across age, sex and ethnic groups. Am J Epidemiol 1996;143:228–39.
  • Wang J, Thornton JC, Russell M, Burastero S, Heymsfield SB, et al. Asians have lower body mass index (BMI) but hig- her percent body fat than do Whites: comparisons of anth- ropometric measurements. Am J Clin Nutr 1994;60:23-8.
  • Deurenberg P, Ge K, Hautvast J GAJ, Wang J. Body mass index as predictor for body fat: comparison between Chine- se and Dutch adult subjects. Asia Pacific J Clin Nutr 1997; 6:102–5.
  • Guricci S, Hartriyanti Y, Hautvast J GAJ, Deurenberg P. Re- lationship between body fat and body mass index: differen- ces between Indonesians and Dutch Caucasians. Eur J Clin Nutr 1998;52:779-83.
  • World Health Organization Expert Consultation. Approp- riate body-mass index for Asian populations and its impli- cations for policy and intervention strategies. Lancet 2004 10;363:157-63.
  • Alberti KG, Zimmet PZ. Definition, diagnosis and classi- fication of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus; provisional report of a WHO consultati. Diabet Med 1998; 15: 539-53.
  • Alberti KG, Zimmet P, Shaw J. IDF Epidemiology Task For- ce Group. The metabolic syndrome–a new world-wide de- finition. Lancet 2005; 366:1059-62.
  • Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on detection, evaluation and treatment of high blood choles- terol in adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-97.
  • Tanko LB, Bagger YZ, Alexandersen P, Larsen PJ, Christiansen C. Peripheral adiposity exhibits an indepen- dent dominant anti atherogenic effect in elderly women. Circulation 2003;107:1626-31.
  • Bloomgarden ZT. American Association of Clinical Endoc- rinologists (AACE) Consensus Conference on the Insulin Resistance Syndrome 25–26 August 2002, Washington, DC. Diabetes Care 2003;26:1297-1303.
  • Van Pelt RE, Evans EM, Schechtman KB, Ehsanı AA, Kohrt W.M. Contributions of total and regional fat mass to risk for cardiovascular disease in older women. Am J Physiol Endocrinol Metab 2002; 282:E1023-E1228.
  • Williams MJ, Hunter GR, Kekes-Szabo T, Snyder S, Treuth MS. Regional fat distribution in women and risk of cardio- vascular disease. Am J Clin Nutr 1997;65:855-60.
  • Tatsukawa M, Kurokawa M, Tamari Y, Yoshimatsu H, Sa- kata T. Regional fat deposition in the legs is useful as a pre- sumptive marker of anti atherogenesity in Japanese. Proc Soc Exp Biol Med 2000;223:156-62.
  • Onat A, Sansoy V. [Determinants and consequences of obesty and abdominal obesity in Turkish adults]. Onat A. TEKHARF 2009. 1.Baskı. İstanbul: Cortex İletişim Hizmet- leri; 2009. p.106-18.
  • Kozan Ö, Oğuz A, Abacı A, Erol C, Öngen Z, Temizhan A, et al. Prevalence of the metabolic syndrome among Turkish adults. Eur J Clin Nutr. 2007;61:548-53.
  • Kutlutürk F, Öztürk B, Yıldırım B, Özuğurlu F, Çetin İ. [Obesity prevelance and itsassocion with metabolic risk fa- ctors: Tokat Province Prevalence Study] Turkiye Klinikleri J Med Sci 2011;31:156-63.
  • Gündogan K, Bayram F, Capak M, Tanriverdi F, Karaman A, et al. Prevalence of metabolic syndrome in the Mediter- ranean region of Turkey: evaluation of hypertension, diabe- tes mellitus, obesity, and dyslipidemia. Metab Syndr Relat Disord 2009;7:427-35.
  • Oğuz A, Temizhan A, Abaci A, Kozan O, Erol C et al. Obesity and abdominal obesity; an alarming challenge for cardio-metabolic risk in Turkish adults. Anadolu Kardiyol Derg 2008 ;8:401-6.
  • Keleş İ, Onat A, Sansoy V, Aksu H, Çetinkaya A, et al. Tekharf 1997/1998 taraması yeni kohortunda risk faktör- leri ve kalp hastalıkları prevalansı Türk Kardiyol Dern Arş 1999;27:104-9.
  • Onat A, Hergenç G, Can G. [Prospective validation in iden- tical Turkish cohort of two metabolic syndrome definitions for predicting cardiometabolic risk and selection of most appropriate definition] Anadolu Kardiyol Derg 2007;7:29- 34.
  • Erem C, Hacihasanoglu A, Deger O, Topbaş M, Hosver I, et al. Prevalence of metabolic syndrome and associated risk factors among Turkish adults: Trabzon Met S study. Endocrine 2008;33:9-20.
  • Uzunlulu M, Oğuz A, Aslan G, Karadağ F.[Cut-off values for waist circumference in Turkish population: Is there a th- reshold to predict insülin resistance?] Türk Kardiyol Dern Ars 2009;37:17-23.
  • Segal KR, Van Loan M, Fitzgerald PI, et al. Lean body mass estimation by electrical impedance analysis. A four site cross validation study. Am J Clin Nutr 1988;47:7-14.
  • Lukaski HC, Johnson PE, Lykken GJ, et al.Assesment of fat free mass using bioelectrical impedance measurements of the human body. Am J Clin Nutr 1985;41:810-7.
  • Baumgartner RN, Chumlea C, Roche AF. Bioelectric impe- dance phase angle and body composition. Am J Clin Nutr 1988; 48:16-23.
  • Wajchenberg BL. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev 2000; 21:697-738.
  • Chan DC, Barrett HP, Watts GF. Dyslipidemia in visce- ral obesity: mechanisms, implications, and therapy. Am J Cardiovasc Drugs. 2000;4:227-46.

Year 2017, Volume: 27 Issue: 3, 84 - 90, 01.09.2017

Sultan Keskin Demircan Fatma Kaplan Efe Ömer Dönderici Fatma Gülden

Abstract

Objective: Examination of the anthropometric methods and cut off points that are most appropriate to predict metabolic syndrome MS for the female Turkish population.Materials and Methods: Waist circumference WC , waist-hip ratio WHR , body mass index BMI , arm circumference AC , total skin thickness TST using caliper, body fat percentage BFP and fat free mass FFM using bioelectrical impedance were taken in 202 female patients. Blood glucose, lipid panel and blood pressure were also checked. We defined two different MS excluding anthropometric measurements. Low HDL and high trygliseride were separate criteria in the first definition, dyslipidemia was defined one criteria as low HDL and/or high trygliseride and/or trygliseride/ HDL≥3 in the second. Efficiency, sensitivity and specificity of anthropometric measurements in predicting MS criteria were assessed using ROC analysis.Results: When compared in determining three or more of the MS parameters of dysglicemia, low HDL, high trygliseride and hypertension, BMI, WC, BFP, WHR and AC were found to be significant p

Keywords

Anthropometric measurements metabolic syndrome body mass index waist circumference

References

  • Serena Low, Mien Chew Chin, Stefan Ma, Derrick Heng, Mabel Deurenberg. Rationale for Redefining Obesity in Asians. Ann Acad Med Singapore 2009;38:66-74.
  • Taylor AE, Ebrahim S, Ben-Shlomo Y, Martin RM, Whin- cup PH, et al. Comparison of the associations of body mass index and measures of central adiposity and fat mass with coronary heart disease, diabetes, and all-cause mortality: a study using data from 4 UK cohorts. Am J Clin Nutr 2010; 91:547-56.
  • Ho SC, Chen YM, Woo JL, Leung SS, Lam TH, et al. Asso- ciation between simple anthropometric indices and cardi- ovascular risk factors. Int J Obes Relat Metab Disord 2001; 25:1689-97.
  • Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW. Body mass index and mortality in a prospective cohort of U.S. adults. N Engl J Med 1999;7;341:1097-105.
  • Norgan NG. Population differences in body composition in relation to the body mass index. Eur J Clin Nutr 1994;48:10- 25.
  • Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, et al. How useful is BMI for comparison of body fat- ness across age, sex and ethnic groups. Am J Epidemiol 1996;143:228–39.
  • Wang J, Thornton JC, Russell M, Burastero S, Heymsfield SB, et al. Asians have lower body mass index (BMI) but hig- her percent body fat than do Whites: comparisons of anth- ropometric measurements. Am J Clin Nutr 1994;60:23-8.
  • Deurenberg P, Ge K, Hautvast J GAJ, Wang J. Body mass index as predictor for body fat: comparison between Chine- se and Dutch adult subjects. Asia Pacific J Clin Nutr 1997; 6:102–5.
  • Guricci S, Hartriyanti Y, Hautvast J GAJ, Deurenberg P. Re- lationship between body fat and body mass index: differen- ces between Indonesians and Dutch Caucasians. Eur J Clin Nutr 1998;52:779-83.
  • World Health Organization Expert Consultation. Approp- riate body-mass index for Asian populations and its impli- cations for policy and intervention strategies. Lancet 2004 10;363:157-63.
  • Alberti KG, Zimmet PZ. Definition, diagnosis and classi- fication of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus; provisional report of a WHO consultati. Diabet Med 1998; 15: 539-53.
  • Alberti KG, Zimmet P, Shaw J. IDF Epidemiology Task For- ce Group. The metabolic syndrome–a new world-wide de- finition. Lancet 2005; 366:1059-62.
  • Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on detection, evaluation and treatment of high blood choles- terol in adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-97.
  • Tanko LB, Bagger YZ, Alexandersen P, Larsen PJ, Christiansen C. Peripheral adiposity exhibits an indepen- dent dominant anti atherogenic effect in elderly women. Circulation 2003;107:1626-31.
  • Bloomgarden ZT. American Association of Clinical Endoc- rinologists (AACE) Consensus Conference on the Insulin Resistance Syndrome 25–26 August 2002, Washington, DC. Diabetes Care 2003;26:1297-1303.
  • Van Pelt RE, Evans EM, Schechtman KB, Ehsanı AA, Kohrt W.M. Contributions of total and regional fat mass to risk for cardiovascular disease in older women. Am J Physiol Endocrinol Metab 2002; 282:E1023-E1228.
  • Williams MJ, Hunter GR, Kekes-Szabo T, Snyder S, Treuth MS. Regional fat distribution in women and risk of cardio- vascular disease. Am J Clin Nutr 1997;65:855-60.
  • Tatsukawa M, Kurokawa M, Tamari Y, Yoshimatsu H, Sa- kata T. Regional fat deposition in the legs is useful as a pre- sumptive marker of anti atherogenesity in Japanese. Proc Soc Exp Biol Med 2000;223:156-62.
  • Onat A, Sansoy V. [Determinants and consequences of obesty and abdominal obesity in Turkish adults]. Onat A. TEKHARF 2009. 1.Baskı. İstanbul: Cortex İletişim Hizmet- leri; 2009. p.106-18.
  • Kozan Ö, Oğuz A, Abacı A, Erol C, Öngen Z, Temizhan A, et al. Prevalence of the metabolic syndrome among Turkish adults. Eur J Clin Nutr. 2007;61:548-53.
  • Kutlutürk F, Öztürk B, Yıldırım B, Özuğurlu F, Çetin İ. [Obesity prevelance and itsassocion with metabolic risk fa- ctors: Tokat Province Prevalence Study] Turkiye Klinikleri J Med Sci 2011;31:156-63.
  • Gündogan K, Bayram F, Capak M, Tanriverdi F, Karaman A, et al. Prevalence of metabolic syndrome in the Mediter- ranean region of Turkey: evaluation of hypertension, diabe- tes mellitus, obesity, and dyslipidemia. Metab Syndr Relat Disord 2009;7:427-35.
  • Oğuz A, Temizhan A, Abaci A, Kozan O, Erol C et al. Obesity and abdominal obesity; an alarming challenge for cardio-metabolic risk in Turkish adults. Anadolu Kardiyol Derg 2008 ;8:401-6.
  • Keleş İ, Onat A, Sansoy V, Aksu H, Çetinkaya A, et al. Tekharf 1997/1998 taraması yeni kohortunda risk faktör- leri ve kalp hastalıkları prevalansı Türk Kardiyol Dern Arş 1999;27:104-9.
  • Onat A, Hergenç G, Can G. [Prospective validation in iden- tical Turkish cohort of two metabolic syndrome definitions for predicting cardiometabolic risk and selection of most appropriate definition] Anadolu Kardiyol Derg 2007;7:29- 34.
  • Erem C, Hacihasanoglu A, Deger O, Topbaş M, Hosver I, et al. Prevalence of metabolic syndrome and associated risk factors among Turkish adults: Trabzon Met S study. Endocrine 2008;33:9-20.
  • Uzunlulu M, Oğuz A, Aslan G, Karadağ F.[Cut-off values for waist circumference in Turkish population: Is there a th- reshold to predict insülin resistance?] Türk Kardiyol Dern Ars 2009;37:17-23.
  • Segal KR, Van Loan M, Fitzgerald PI, et al. Lean body mass estimation by electrical impedance analysis. A four site cross validation study. Am J Clin Nutr 1988;47:7-14.
  • Lukaski HC, Johnson PE, Lykken GJ, et al.Assesment of fat free mass using bioelectrical impedance measurements of the human body. Am J Clin Nutr 1985;41:810-7.
  • Baumgartner RN, Chumlea C, Roche AF. Bioelectric impe- dance phase angle and body composition. Am J Clin Nutr 1988; 48:16-23.
  • Wajchenberg BL. Subcutaneous and visceral adipose tissue: their relation to the metabolic syndrome. Endocr Rev 2000; 21:697-738.
  • Chan DC, Barrett HP, Watts GF. Dyslipidemia in visce- ral obesity: mechanisms, implications, and therapy. Am J Cardiovasc Drugs. 2000;4:227-46.
There are 32 citations in total.

Details

Primary Language Turkish
Journal Section Original Article
Authors

Sultan Keskin Demircan This is me

Fatma Kaplan Efe This is me

Ömer Dönderici This is me

Fatma Gülden This is me

Publication Date September 1, 2017
Published in Issue Year 2017 Volume: 27 Issue: 3

Cite

Vancouver Keskin Demircan S, Efe FK, Dönderici Ö, Gülden F. Türk kadınlarında metabolik sendromu öngörmede antropometrik ölçümlerin etkinliği ve kesim noktaları. Genel Tıp Derg. 2017;27(3):84-90.

The Journal of General Medicine is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY NC).