• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

不同肥胖测量指标对心血管事件和死亡发生的预测价值。

The predictive value of different measures of obesity for incident cardiovascular events and mortality.

机构信息

Medizinische Klinik-Innenstadt, Ludwig-Maximilians University, Ziemssenstrasse 1, 80336 Munich, Germany.

出版信息

J Clin Endocrinol Metab. 2010 Apr;95(4):1777-85. doi: 10.1210/jc.2009-1584. Epub 2010 Feb 3.

DOI:10.1210/jc.2009-1584
PMID:20130075
Abstract

CONTEXT

To date, it is unclear which measure of obesity is the most appropriate for risk stratification.

OBJECTIVE

The aim of the study was to compare the associations of various measures of obesity with incident cardiovascular events and mortality.

DESIGN AND SETTING

We analyzed two German cohort studies, the DETECT study and SHIP, including primary care and general population.

PARTICIPANTS

A total of 6355 (mean follow-up, 3.3 yr) and 4297 (mean follow-up, 8.5 yr) individuals participated in DETECT and SHIP, respectively.

INTERVENTIONS

We measured body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR) and assessed cardiovascular and all-cause mortality and the composite endpoint of incident stroke, myocardial infarction, or cardiovascular death.

RESULTS

In both studies, we found a positive association of the composite endpoint with WHtR but not with BMI. There was no heterogeneity among studies. The relative risks in the highest versus the lowest sex- and age-specific quartile of WHtR, WC, WHR, and BMI after adjustment for multiple confounders were as follows in the pooled data: cardiovascular mortality, 2.75 (95% confidence interval, 1.31-5.77), 1.74 (0.84-3.6), 1.71 (0.91-3.22), and 0.74 (0.35-1.57), respectively; all-cause mortality, 1.86 (1.25-2.76), 1.62 (1.22-2.38), 1.36 (0.93-1.69), and 0.77 (0.53-1.13), respectively; and composite endpoint, 2.16 (1.39-3.35), 1.59 (1.04-2.44), 1.49 (1.07-2.07), and 0.57 (0.37-0.89), respectively. Separate analyses of sex and age groups yielded comparable results. Receiver operating characteristics analysis yielded the highest areas under the curve for WHtR for predicting these endpoints.

CONCLUSIONS

WHtR represents the best predictor of cardiovascular risk and mortality, followed by WC and WHR. Our results discourage the use of the BMI.

摘要

背景

目前,尚不清楚哪种肥胖测量方法最适合风险分层。

目的

本研究旨在比较各种肥胖测量方法与心血管事件和死亡率发生的相关性。

设计和设置

我们分析了两项德国队列研究,即 DETECT 研究和 SHIP,包括初级保健和一般人群。

参与者

共有 6355 名(平均随访 3.3 年)和 4297 名(平均随访 8.5 年)个体分别参加了 DETECT 和 SHIP 研究。

干预措施

我们测量了体重指数(BMI)、腰围(WC)、腰高比(WHtR)和腰臀比(WHR),并评估了心血管和全因死亡率以及中风、心肌梗死或心血管死亡的复合终点。

结果

在两项研究中,我们发现复合终点与 WHtR 呈正相关,而与 BMI 无关。研究之间没有异质性。在调整了多种混杂因素后,WHtR 最高与最低性别和年龄四分位组之间的相对风险如下:心血管死亡率为 2.75(95%置信区间,1.31-5.77)、1.74(0.84-3.6)、1.71(0.91-3.22)和 0.74(0.35-1.57);全因死亡率为 1.86(1.25-2.76)、1.62(1.22-2.38)、1.36(0.93-1.69)和 0.77(0.53-1.13);复合终点为 2.16(1.39-3.35)、1.59(1.04-2.44)、1.49(1.07-2.07)和 0.57(0.37-0.89)。对性别和年龄组的单独分析得出了类似的结果。受试者工作特征曲线分析显示,WHtR 对这些终点的预测具有最高的曲线下面积。

结论

WHtR 是心血管风险和死亡率的最佳预测指标,其次是 WC 和 WHR。我们的结果不鼓励使用 BMI。

相似文献

1
The predictive value of different measures of obesity for incident cardiovascular events and mortality.不同肥胖测量指标对心血管事件和死亡发生的预测价值。
J Clin Endocrinol Metab. 2010 Apr;95(4):1777-85. doi: 10.1210/jc.2009-1584. Epub 2010 Feb 3.
2
Preferred clinical measures of central obesity for predicting mortality.用于预测死亡率的中心性肥胖的首选临床指标。
Eur J Clin Nutr. 2007 Dec;61(12):1373-9. doi: 10.1038/sj.ejcn.1602656. Epub 2007 Feb 14.
3
Waist/height ratio as a better predictor of type 2 diabetes compared to body mass index in Tehranian adult men--a 3.6-year prospective study.在德黑兰成年男性中,与体重指数相比,腰高比是2型糖尿病更好的预测指标——一项为期3.6年的前瞻性研究。
Exp Clin Endocrinol Diabetes. 2006 Jun;114(6):310-5. doi: 10.1055/s-2006-924123.
4
New indexes of body fat distribution and sex-specific risk of total and cause-specific mortality: a prospective cohort study.新型体脂分布指标与全因及死因特异性死亡率的性别特异性风险:一项前瞻性队列研究。
BMC Public Health. 2018 Apr 2;18(1):427. doi: 10.1186/s12889-018-5350-8.
5
Waist-to-hip ratio is a better screening measure for cardiovascular risk factors than other anthropometric indicators in Tehranian adult men.在德黑兰成年男性中,腰臀比是比其他人体测量指标更好的心血管危险因素筛查指标。
Int J Obes Relat Metab Disord. 2004 Oct;28(10):1325-32. doi: 10.1038/sj.ijo.0802757.
6
Detection of cardiovascular risk factors by anthropometric measures in Tehranian adults: receiver operating characteristic (ROC) curve analysis.通过人体测量学方法检测德黑兰成年人的心血管危险因素:受试者工作特征(ROC)曲线分析。
Eur J Clin Nutr. 2004 Aug;58(8):1110-8. doi: 10.1038/sj.ejcn.1601936.
7
Relationship between measures of central and general adiposity with aortic stiffness in the general population.普通人群中中心性肥胖和总体肥胖指标与主动脉僵硬度之间的关系。
Atherosclerosis. 2014 Aug;235(2):625-31. doi: 10.1016/j.atherosclerosis.2014.05.958. Epub 2014 Jun 9.
8
Accuracy of anthropometric indicators of obesity to predict cardiovascular risk.肥胖人体测量指标预测心血管风险的准确性。
J Clin Endocrinol Metab. 2007 Feb;92(2):589-94. doi: 10.1210/jc.2006-0254. Epub 2006 Nov 14.
9
References of anthropometric indices of central obesity and metabolic syndrome in Jordanian men and women.约旦男性和女性中心性肥胖及代谢综合征人体测量指标的参考文献。
Diabetes Metab Syndr. 2012 Jan-Mar;6(1):15-21. doi: 10.1016/j.dsx.2012.05.012. Epub 2012 Jun 4.
10
Use of the waist-to-height ratio to predict cardiovascular risk in patients with diabetes: Results from the ADVANCE-ON study.利用腰高比预测糖尿病患者的心血管风险:来自 ADVANCE-ON 研究的结果。
Diabetes Obes Metab. 2018 Aug;20(8):1903-1910. doi: 10.1111/dom.13311. Epub 2018 May 6.

引用本文的文献

1
Associations between eight anthropometric indices and Parkinson's disease: a nationwide population-based study.八项人体测量指数与帕金森病之间的关联:一项基于全国人口的研究。
Front Nutr. 2025 Jun 27;12:1621658. doi: 10.3389/fnut.2025.1621658. eCollection 2025.
2
Precision Medicine for Obesity Treatment.肥胖治疗的精准医学
J Endocr Soc. 2025 Jun 5;9(9):bvaf102. doi: 10.1210/jendso/bvaf102. eCollection 2025 Sep.
3
An Advanced Pneumatic Compression Therapy System Improves Leg Volume and Fluid, Adipose Tissue Thickness, Symptoms, and Quality of Life and Reduces Risk of Lymphedema in Women with Lipedema.
一种先进的气动压迫治疗系统可改善腿部体积、液体、脂肪组织厚度、症状和生活质量,并降低脂肪性水肿女性患淋巴水肿的风险。
Life (Basel). 2025 Apr 30;15(5):725. doi: 10.3390/life15050725.
4
Inequality of Opportunity in Body Mass: Evidence From Australia.体重方面的机会不平等:来自澳大利亚的证据。
Health Econ. 2025 Jul;34(7):1365-1381. doi: 10.1002/hec.4966. Epub 2025 Apr 12.
5
Remnant cholesterol in obesity phenotypes: results from NHANES.肥胖表型中的残余胆固醇:来自美国国家健康与营养检查调查(NHANES)的结果。
Lipids Health Dis. 2025 Apr 9;24(1):134. doi: 10.1186/s12944-025-02550-5.
6
BMI, waist circumference, and waist-to-hip trajectories and all-cause, CVD, and cancer mortality by sex in people without diabetes.无糖尿病者按性别划分的体重指数、腰围和腰臀比轨迹以及全因死亡率、心血管疾病死亡率和癌症死亡率
Int J Obes (Lond). 2025 Apr 9. doi: 10.1038/s41366-025-01778-6.
7
Applying a Weight Stigma Lens to Australian and International Obesity-Related Policies for Women Across the Preconception, Pregnancy and Postpartum Periods: A Mapping Review.运用体重歧视视角审视澳大利亚及国际上针对女性孕前、孕期和产后与肥胖相关政策的映射综述。
Health Promot J Austr. 2025 Apr;36(2):e70012. doi: 10.1002/hpja.70012.
8
Sedentary work and expanding waistlines: a cross-sectional study on occupational roles and abdominal obesity in India.久坐工作与腰围增大:印度职业角色与腹部肥胖的横断面研究
BMC Public Health. 2025 Feb 24;25(1):748. doi: 10.1186/s12889-025-21956-5.
9
Body mass index is similar to alternative anthropometric indices in evaluating plasma lipids as proxy for cardiovascular disease in women with previous hypertensive disorders of pregnancy: A cross-sectional study.在评估既往有妊娠高血压疾病的女性血浆脂质作为心血管疾病替代指标方面,体重指数与其他人体测量指标相似:一项横断面研究。
Womens Health (Lond). 2025 Jan-Dec;21:17455057241310316. doi: 10.1177/17455057241310316.
10
Predictive Diagnostic Power of Anthropometric Indicators for Metabolic Syndrome: A Comparative Study in Korean Adults.人体测量指标对代谢综合征的预测诊断能力:韩国成年人的一项比较研究
J Clin Med. 2025 Jan 12;14(2):448. doi: 10.3390/jcm14020448.