Kadınlarda metabolik sendromun alternatif prediktörleri

Year 2020, , 341 - 349, 14.05.2020

Yusuf Bozkuş , Umut Mousa , Nazlı Gülsoy Kirnap , Özlem Turhan İyidir , Lala Ramazanova , Aslı Nar , Neslihan Başçıl

https://doi.org/10.31362/patd.662692

Cited By: 1

Abstract

Amaç: Metabolik sendrom kriterler içinde yer almayan ve adipozite göstergesi kabul edilen parametrelerin, metabolik sendromu olan ve olmayan kadınlar arasında farklılık gösterip göstermediğini ortaya koymak ve bu parametrelerin metabolik sendromu predikte eden kesim noktalarını saptamak amaçlanmıştır.
Gereç ve Yöntem: Kilo vermek için başvuran, bilinen glikoz metabolizma bozukluğu olmayan 393 kadın birey (18-70 yaş) alındı. Bu bireylerden NCEP ATPIII kriterlerine göre metabolik sendromu olan ve olmayanlar tespit edildikten sonra, tüm katılımcıların antropometrik ölçümleri ve vücut yağ dağılımı ölçüldü ve laboratuar parametrelerine bakıldı. ROC eğrileri çizildi ve eğri altındaki alanlar hesaplandı ve parametrelerin metabolik sendromu predikte eden kesim noktaları ve bu kesim noktalarının duyarlılık ve özgüllük oranları belirlendi.
Bulgular: Metabolik sendromu predikte eden parametrelerden, vücut kitle indeksi, boyun çevresi, visseral yağ miktarı, gövde yağ yüzdesi, HOMAIR indeksi ve insülin düzeylerinin, eğri altındaki alanları 0,7'nin üstünde olduğu; kalça çevresi, bel-kalça oranı, konvansiyonel BİA ile ölçülen total yağ kitlesi ve yağ yüzdesinin, LDL-K ve TSH düzeyinin ise 0,7'nin altında olduğu saptanmıştır. Vücut kitle indeksi için 27,7 kg/m2, boyun çevresi için 33,8 cm, bel çevresi için 91,5 cm, visseral yağ miktarı için 10,8 birim, gövde yağ yüzdesi için %43,1, HOMAIR indeksi için 2,14 ve insülin düzeyi için 8,7 µU/mL değerlerinin metabolik sendromu predikte etmedeki duyarlılıkları %80 ve üstünde bulunmuştur.
Sonuç: Vücut kitle indeksi, boyun çevresi, visseral yağ miktarı, gövde yağ yüzdesi, HOMAIR indeksi ve insülin düzeyleri metabolik sendromun alternatif prediktörü olarak kullanılabilecek pratik ve değerli ölçütlerdir.

Keywords

Metabolik Sendrom, Antropometri, Adipoz Doku, İnsülin Direnci

Supporting Institution

Başkent Üniversitesi Araştırma Fonu

Project Number

KA19-405

Thanks

Bu çalışma Başkent Üniversitesi Tıp ve Sağlık Bilimleri Araştırma Kurulu tarafından onaylanmış ve Başkent Üniversitesi Araştırma Fonunca desteklenmiştir.

Alternative predictors of metabolic syndrome in women.

Abstract

Purpose: The aim of this study is to determine whether the parameters that are not included in the criteria of metabolic syndrome and which are considered as indicators of adiposity, differ between women with and without metabolic syndrome and to determine the cut-off points predicting metabolic syndrome.
Materials and Methods: A total of 393 adult women without glucose metabolism disorder were included. After determining the participants with and without metabolic syndrome, anthropometric measurements and body fat distribution of all participants were measured and laboratory parameters were examined. The ROC curves were plotted and the areas under the curve were calculated. The cut-off points predicting metabolic syndrome and the sensitivity and specificity ratios of these cut-off points were determined.
Results: While the area under the curve for body mass index, neck circumference, visceral fat level, body fat percentage, HOMAIR index and insulin levels was found to be over 0.7, area under the curve for hip circumference, waist-hip ratio, total fat mass and total fat percentage, and LDL-C and TSH levels were below 0.7. The cut-off points of parameters that predict metabolic syndrome for women were found to be 27.7 kg/m2 for body mass index, 33.8 cm for neck circumference, 91.5 cm for waist circumference, 10.8 for visceral fat, 43.1% for trunk fat percentage, 2.14 for HOMAIR index and 8.7 µU/mL for insulin levels.
Conclusion: Body mass index, neck circumference, visceral fat level, body fat percentage, HOMAIR index and insulin levels are valuable criteria to predict metabolic syndrome.

Keywords

Metabolic Syndrome, Anthropometry, Adipose Tissue, Insulin Resistance

Project Number

KA19-405

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