Suppr超能文献

生物电阻抗分析法测定体脂率对检出心血管疾病危险因素个体的意义。

The significance of measuring body fat percentage determined by bioelectrical impedance analysis for detecting subjects with cardiovascular disease risk factors.

机构信息

Department of Cardiology, Nagoya University Graduate School of Medicine, 65 Tsurumai, Showa-ku, Nagoya 466-8550, Japan.

出版信息

Circ J. 2012;76(10):2435-42. doi: 10.1253/circj.cj-12-0337. Epub 2012 Jul 11.

Abstract

BACKGROUND

Body fat percentage (BF%) determined by bioelectrical impedance analysis is widely used at home and in medical check-ups. However, the clinical significance of measuring BF% has not been studied in detail.

METHODS AND RESULTS

A cross-sectional study was carried out on a cohort of 10,774 middle-aged Japanese men who had undergone an annual check-up in 2008. Cut-off points were evaluated for body mass index (BMI), waist circumference (WC), and BF% for detecting participants with cardiovascular disease (CVD) risk factors (diabetes mellitus, hypertension, dyslipidemia), and effectiveness compared for each marker's cut-off point. Additionally, the effects of smoking on cut-off points were evaluated. The cut-off points of BMI, WC, and BF% for detecting participants with 1 or more CVD risk factors were 22.7kg/m(2), 81.4cm, and 20.3%, respectively. The cut-off points of BF% for 1 or more CVD risk factors classified 3.43% more subjects into correct categories than those of BMI (P<0.001). The cut-off points of BMI, WC, and BF% for detecting individuals with 3 CVD risk factors in current smokers were 24.9kg/m(2), 87.8cm, and 23.7%, while those in non-smokers were 23.3kg/m(2), 83.9cm, and 22.3%, respectively.

CONCLUSIONS

BF% could be more effective in detecting individuals with early stage CVD risk accumulation than BMI. The cut-off points for current smokers were lower than those for non-smokers in all markers.

摘要

背景

通过生物电阻抗分析测定的体脂肪百分比(BF%)在国内外体检中得到广泛应用。然而,BF%的临床意义尚未得到详细研究。

方法和结果

对 2008 年接受年度体检的 10774 名日本中年男性进行了一项横断面研究。评估了身体质量指数(BMI)、腰围(WC)和 BF%的切点,以检测心血管疾病(CVD)危险因素(糖尿病、高血压、血脂异常)的患者,并比较了每个标志物切点的有效性。此外,还评估了吸烟对切点的影响。用于检测 1 个或多个 CVD 危险因素患者的 BMI、WC 和 BF%切点分别为 22.7kg/m2、81.4cm 和 20.3%。与 BMI 相比,BF%的切点将 3.43%更多的患者分类为正确类别(P<0.001)。用于检测当前吸烟者中 3 个 CVD 危险因素的个体的 BMI、WC 和 BF%切点分别为 24.9kg/m2、87.8cm 和 23.7%,而非吸烟者的切点分别为 23.3kg/m2、83.9cm 和 22.3%。

结论

与 BMI 相比,BF%可能更有效地检测早期 CVD 风险积聚的个体。在所有标志物中,当前吸烟者的切点均低于非吸烟者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验