Suppr超能文献

身体圆润度指数和身体肥胖指数:识别中国绝经后女性代谢综合征的两个新人体测量学指标。

Body roundness index and body adiposity index: two new anthropometric indices to identify metabolic syndrome among Chinese postmenopausal women.

作者信息

Liu P J, Ma F, Lou H P, Zhu Y N

机构信息

a Department of Clinical Nutrition .

b Department of Medical Examination Center .

出版信息

Climacteric. 2016 Oct;19(5):433-9. doi: 10.1080/13697137.2016.1202229. Epub 2016 Jul 13.

Abstract

OBJECTIVES

Body roundness index (BRI) and body adiposity index (BAI) have been recently proposed to assess obesity. The objectives of this cross-sectional study were to compare their potential for identifying metabolic syndrome (MetS) with traditional obesity indices in Chinese postmenopausal women.

METHODS

A total of 817 participants were involved in this study. Odds ratio and corresponding 95% confidence intervals (CI) between MetS and all indices were evaluated by binary logistic regression analysis. Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the abilities to identify MetS among all the indices. The differences in the AUC values between traditional indices and BAI as well as BRI were also evaluated.

RESULTS

The upper values of all indices were significantly associated with the presence of MetS after adjusting for potential confounders, except for BAI. There were no significant differences in the AUC values between BRI and the traditional indices; however, the AUC values of all the traditional indices were significantly larger than that of BAI.

CONCLUSIONS

Neither BAI nor BRI was superior to traditional obesity indices for predicting MetS. BAI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of MetS.

摘要

目的

近期有人提出用体圆度指数(BRI)和体脂指数(BAI)来评估肥胖。这项横断面研究的目的是在中国绝经后女性中,比较它们与传统肥胖指数在识别代谢综合征(MetS)方面的潜力。

方法

共有817名参与者纳入本研究。通过二元逻辑回归分析评估MetS与所有指数之间的比值比及相应的95%置信区间(CI)。采用受试者工作特征曲线和曲线下面积(AUC)来评估所有指数识别MetS的能力。还评估了传统指数与BAI以及BRI之间AUC值的差异。

结果

在调整潜在混杂因素后,除BAI外,所有指数的上限值均与MetS的存在显著相关。BRI与传统指数的AUC值无显著差异;然而,所有传统指数的AUC值均显著大于BAI的AUC值。

结论

在预测MetS方面,BAI和BRI均不优于传统肥胖指数。BAI的预测能力最弱,而BRI在评估MetS时显示出作为替代肥胖测量指标的潜力。

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