Türk kadınlarında metabolik sendromu öngörmede antropometrik ölçümlerin etkinliği ve kesim noktaları

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

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<0.0001). TST was significant as well (p =0.001). FFM was insignificant (p= 0.337). Cut off points for BMI, WC and WHR in predicting MS were 27.7 kg/m2, 92.5 cm, 0.86. When dyslipidemia was defined in one criteria, cut off points were found similarly 27.8 kg/m2, 92.5 cm, 0.86. Conclusion: BMI, WHR, BFP and WC were more valuable than TST and AC in predicting MS but they had no statistically significant superiority over each other. However, with a 95% confidence interval, predictive cut off points were significantly above those observed in western populations.

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