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对成年人中心体脂进行体积分析可准确预测糖尿病和高血压的发病率。

Volumetric analysis of central body fat accurately predicts incidence of diabetes and hypertension in adults.

作者信息

Gibby Jacob T, Njeru Dennis K, Cvetko Steven T, Merrill Ray M, Bikman Benjamin T, Gibby Wendell A

机构信息

Departments of Physiology and Developmental Biology, Provo, UT USA.

Novarad, American Fork, UT 84003 USA.

出版信息

BMC Obes. 2015 Feb 25;2:10. doi: 10.1186/s40608-015-0039-3. eCollection 2015.

Abstract

BACKGROUND

Central adipose tissue is appreciated as a risk factor for cardiometabolic disorders. The purpose of this study was to determine the efficacy of a volumetric 3D analysis of central adipose tissue in predicting disease. Full body computerized tomography (CT) scans were obtained from 1225 female (518) and male (707) subjects, aged 18-88. Percent central body fat (%cBF) was determined by quantifying the adipose tissue volume from the dome of the liver to the pubic symphysis. Calcium score was determined from the calcium content of coronary arteries. Relationships between %cBF, BMI, and several cardiometabolic disorders were assessed controlling for age, sex, and race.

RESULTS

Higher %cBF was significantly greater for those with type 2 diabetes and hypertension, but not stroke or hypercholesterolemia. Simple anthropometric determination of BMI equally correlated with diabetes and hypertension as central body fat. Calcium scoring significantly correlated with all measurements of cardiovascular health, including hypertension, hypercholesterolemia, and heart disease.

CONCLUSIONS

Central body fat and BMI equally and highly predict incidence of hypertension and type 2 diabetes.

摘要

背景

中心性脂肪组织被认为是心脏代谢紊乱的一个危险因素。本研究的目的是确定中心性脂肪组织的容积三维分析在预测疾病方面的有效性。对1225名年龄在18 - 88岁的女性(518名)和男性(707名)进行了全身计算机断层扫描(CT)。通过量化从肝脏穹顶到耻骨联合的脂肪组织体积来确定中心体脂百分比(%cBF)。从冠状动脉的钙含量确定钙化评分。在控制年龄、性别和种族的情况下,评估了%cBF、体重指数(BMI)与几种心脏代谢紊乱之间的关系。

结果

2型糖尿病和高血压患者的%cBF显著更高,但中风或高胆固醇血症患者并非如此。简单的人体测量学指标BMI与糖尿病和高血压的相关性与中心体脂相同。钙化评分与所有心血管健康指标显著相关,包括高血压、高胆固醇血症和心脏病。

结论

中心体脂和BMI对高血压和2型糖尿病的发病率具有同等高度的预测作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d120/4511444/40bea78024c5/40608_2015_39_Fig1_HTML.jpg

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