Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Obesity01:24

Obesity

534
The Body Mass Index (BMI) is a numerical value derived from a person's weight and height, used to categorize individuals into weight ranges. It is calculated using the formula: weight in kilograms divided by height in meters squared. Obesity is a health condition characterized by excessive accumulation of adipose tissue that poses health risks, often diagnosed with a BMI ≥ 30. This excess fat storage occurs when surplus dietary calories are converted into triglycerides and stored in...
534

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Cell-free tumour DNA in bronchoalveolar lavage: a proof of concept study.

ERJ open research·2026
Same author

Proteomic markers enhance mortality prediction in heart failure.

European heart journal·2026
Same author

A dish-to-biobank framework links β-cell nutrient-stress programs to genetic and dietary risk for Type 2 Diabetes.

bioRxiv : the preprint server for biology·2026
Same author

Aspirin for Stroke Primary Prevention: A Step Toward Genetic-Driven Personalized Medicine.

Stroke·2026
Same author

Bacterial targeting of the neutrophil inhibitory receptor LILRB3 to evade antibody immunity.

Nature communications·2026
Same author

Corrigendum to "Identification of a novel apoB variant in a family exhibiting hypocholesterolemia: Mechanistic insights" [J Clin Lipidol (2026) S1933-2874(26)00045-0, ahead of print].

Journal of clinical lipidology·2026

相关实验视频

Updated: Jul 16, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.1K

替代肥胖标志物和死亡率的替代品

Irfan Khan1,2,3,4,5, Michael Chong1,2,3, Ann Le1,2,3

  • 1Population Health Research Institute, David Braley Cardiac, Vascular and Stroke Research Institute, Hamilton, Ontario, Canada.

JAMA network open
|September 20, 2023
PubMed
概括

腰比 (WHR) 强烈预测死亡风险,表现优于身体质量指数 (BMI) 和脂肪质量指数 (FMI). 专注于脂肪分布,而不仅仅是质量,对于临床健康建议至关重要.

更多相关视频

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.6K
Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

16.2K

相关实验视频

Last Updated: Jul 16, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.1K
Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
13:35

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos

Published on: March 21, 2021

10.6K
Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
13:09

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography

Published on: April 4, 2012

16.2K

科学领域:

  • 流行病学 流行病学
  • 公共卫生 公共卫生
  • 遗传学 是一个遗传学.

背景情况:

  • 体重指数 (BMI) 是一种常见的肥胖度量,但在反映身体组成和脂肪分布方面存在局限性.
  • 关于与最低死亡风险相关的BMI值,目前仍在进行辩论.

研究的目的:

  • 确定腰部至部比率 (WHR),脂肪质量指数 (FMI) 或BMI是否与死亡率有最强烈的关联.
  • 为了比较这些脂肪测量方法在预测死亡风险方面的一致性.

主要方法:

  • 利用英国生物库数据 (N=387,672) 进行观察性和门德尔随机化 (MR) 分析.
  • 包括发现和验证队列与事件死亡分析所有原因和特定原因死亡率.
  • 评估测量和基因确定BMI,FMI和WHR与死亡结果之间的关联.

主要成果:

  • 腰部至部比 (WHR) 显示出与全因死亡率的线性关联,而BMI和FMI显示出J形关联.
  • 基因决定的WHR与全因死亡率的关联比基因决定的BMI更强.
  • 基因决定的WHR与死亡率之间的关联不管测量BMI如何,都是一致的,在男性中更强.

结论:

  • 与BMI和FMI相比,腰部至部比率 (WHR) 是死亡率的优越预测指标,显示出最强和最一致的关联.
  • 临床指南应优先评估脂肪分布 (如WHR),而不是简单的脂肪质量测量 (如BMI).
  • 这些发现强调了脂肪分布在理解死亡风险方面的重要性.