相关实验视频

Updated: Jul 17, 2025

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle

Phosphorus-31 Magnetic Resonance Spectroscopy: A Tool for Measuring In Vivo Mitochondrial Oxidative Phosphorylation Capacity in Human Skeletal Muscle

Published on: January 19, 2017

代谢综合征与死亡率之间的关联:前性队列研究

Wenzhen Li¹, Dajie Chen², Ying Peng³

¹Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).

JMIR public health and surveillance

|September 5, 2023

概括

代谢综合征 (MetS) 显著增加了所有原因,心脏病和糖尿病死亡的风险. 这项研究强调了解决MetS及其组件对于更好的健康结果的重要性.

科学领域:

心脏病学心脏病学
内分泌学在内分泌学.
公共卫生公共卫生

背景情况:

代谢综合征 (MetS) 是与肥胖相关的日益严重的公共卫生问题.
之前关于MetS和死亡率的研究使用了各种定义,需要更新研究.
国家胆固醇教育计划 (NCEP) 成人治疗小组 (ATP) III在2005年更新了MetS定义,自那以后被广泛采用.

研究的目的:

为了调查MetS和全因死亡率之间的关联.
检查MetS与特定原因死亡率 (包括心脏病,糖尿病和癌症) 之间的联系.

主要方法:

利用了美国国家健康和营养检查调查 (NHANES) III和连续NHANES (1999-2014) 中36414名成年人的数据.
使用NCEP ATP III-2005标准定义的MetS,并连接到2015年12月的国家死亡指数记录.
采用Cox比例危险模型,考虑复杂的调查设计,以估计死亡风险.

主要成果:

平均随访时间为16.71年,共有8494例死亡.
患有MetS的个体显示所有原因的死亡风险显著增加 (HR 1.24),心脏病 (HR 1.44) 和糖尿病 (HR 5.15).
在MetS和癌症死亡率之间没有发现显著的关联 (HR 1.17).

结论:

MetS及其成分与增加全因,心脏病和糖尿病死亡率有显著的关联.
该研究发现MetS和癌症死亡率之间没有显著联系.
医疗保健专业人员应该更多地关注MetS及其患者护理的个别组件.

关键词:

癌症癌症癌症癌症癌症在糖尿病中,糖尿病是血糖类的.心脏病疾病心脏病疾病代谢综合征代谢综合征死亡率死亡率

更多相关视频

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment

Published on: April 20, 2018

相关概念视频

Coronary Artery Disease I: Introduction

Coronary Artery Disease I: Introduction

Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...

Overview of Lipid Metabolism

Overview of Lipid Metabolism

Lipid metabolism is a crucial process in the human body that involves the synthesis and degradation of lipids. This process is essential for energy production, cell membrane formation, and hormone production, among other functions.
Lipolysis: The Breakdown of Lipids:
Lipolysis is the process of breaking down lipids, particularly triglycerides, into glycerol and fatty acids. This process typically occurs in the adipose tissue and is triggered by various hormones, including glucagon and...

Assumptions of Survival Analysis

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.

Overview of Carbohydrate Metabolism

Overview of Carbohydrate Metabolism

Carbohydrate metabolism is a fundamental biochemical process that ensures a constant supply of energy to living cells. The most important carbohydrate is glucose, which can be broken down via glycolysis to enter into the Krebs cycle and eventually lead to the production of ATP through oxidative phosphorylation.
Glucose transport into cells is facilitated by a family of transport proteins called GLUT (Glucose Transporters). GLUT4 is the primary glucose transporter for insulin-stimulated glucose...

Kaplan-Meier Approach

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...

Introduction to Epidemiology

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...