内脏脂肪和炎症标志物与代谢综合征及其组成部分之间关系的调查。

IF 0.2 Q4 MEDICINE, RESEARCH & EXPERIMENTAL
International journal of clinical and experimental medicine Pub Date : 2015-08-15 eCollection Date: 2015-01-01
Yasemin Turker, Davut Baltaci, Yasin Turker, Serkan Ozturk, Cemil Isik Sonmez, Mehmet Harun Deler, Yunus Cem Sariguzel, Feyza Sariguzel, Handan Ankarali
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引用次数: 0

摘要

代谢综合征是一组疾病,是心血管疾病的高危因素。我们旨在研究代谢综合征(MetS)的严重程度与人体测量值之间的关系,并评估代谢综合征及其组成部分与代谢恶化和炎症指数之间的相关性。这项横断面研究共纳入了 1474 名肥胖和超重患者。根据 NCEP ATP III 将患者分为 MetS 和非 MetS 两组,并将其细分为 1 组(3 项标准)、2 组(4 项标准)和 3 组(≥ 5 项标准)。平均年龄为 38.7 ± 11.9 岁,体重指数为 35.1 ± 6.3 kg/m(2)。血脂概况、人体测量和血压测量、肝功能检测、生物电阻抗体脂构成、胰岛素抵抗和 HbA1c 以及定点尿白蛋白-肌酐比值在 MetS 组和非 MetS 组之间存在显著差异。MetS 组与非 MetS 组之间在年龄、血脂概况、生物电阻抗脂肪分析、体重指数、血压值、血糖、胰岛素抵抗、尿酸和 hs-CRP 水平方面存在明显差异。ROC 分析显示,hs-CRP 对代谢综合征第 3 和第 4 部分的严重程度更有预测作用(P=0.030);尿酸和内脏脂肪对代谢综合征第 3 和第 5 部分的严重程度更有预测作用(P=0.006);尿酸对代谢综合征第 4 和第 5 部分的严重程度更有预测作用(P=0.023)。总之,尿酸、hs-CRP和内脏脂肪组成有助于预测初级保健中 MetS 的严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of relationship of visceral body fat and inflammatory markers with metabolic syndrome and its components among apparently healthy individuals.

Metabolic syndrome is a cluster of disorders and great risk for cardiovascular diseases. We aimed to investigate association between severity of metabolic syndrome (MetS) and anthropometric measurements, and to evaluate correlation of MetS and its components with metabolic deterioration and inflammatory indexes. The cross-sectional study enrolled 1474 patients with obesity and overweight. The patients were grouped as MetS and Non-MetS, and were sub-grouped as group 1 (three criteria), 2 (four criteria) and 3 (≥ five criteria) according to NCEP ATP III. Mean age was 38.7 ± 11.9 years and BMI was 35.1 ± 6.3 kg/m(2). Lipid profile, anthropometric and blood pressure measurements, liver function tests, bioelectric impedance body fat compositions, insulin resistance and HbA1c, and spot urinary albumin-creatinine ratio were significantly different between groups of MetS and Non-MetS. Age, lipid profile, bioelectric impedance fat analyses, BMI, blood pressure values, glucose, insulin resistance, uric acid and hs-CRP levels were significantly different between groups of MetS component groups. ROC analysis revealed that hs-CRP was found to be more predictive for severity of metabolic syndrome components 3 and 4 (P=0.030); uric acid and visceral fat were more actual to predict severity of metabolic syndrome between 3 and 5 MetS components, (P=0.006) and uric acid was detected as more actual to predict severity of MetS between 4 and 5 components (P=0.023). In conclusion, uric acid, hs-CRP and visceral body fat composition were useful to predict to severity of MetS in primary care.

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