与BMI相比,ABSI对老年人死亡率和脆弱性的预测能力
Itamar Shafran1, Nir Y Krakauer2, Jesse C Krakauer3
1Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Frontiers in nutrition
|April 29, 2024
概括
身体形状指数 (ABSI) 有效地预测了老年人的死亡风险. 与BMI不同,ABSI也强烈识别脆弱性,提供更全面的健康评估.
科学领域:
- 老年学与公共卫生
- 生物统计学和流行病学
背景情况:
- 体重指数 (BMI) 是肥胖的常见指标,但可能不能完全捕捉到老年人的健康风险.
- 腹部肥胖,以腰围 (WC) 表示,越来越被认为是一个重要的健康决定因素.
研究的目的:
- 评估A体形状指数 (ABSI) 作为老龄化人口死亡率和脆弱性的预测指标.
- 为了比较ABSI与传统的身体质量指数 (BMI) 的预测效用.
主要方法:
- 利用了来自"Mabat Zahav"以色列国家健康和营养调查的65岁以上成年人 (n=1580) 的数据.
- 从基线测量中计算的BMI (kg/m2) 和ABSI [WC/(BMI2/3*m1/2) ].
- 在使用Cox和后勤回归模型的子队列 (n=554) 中评估了2019年的死亡率和脆弱性 (炸生物现象型).
主要成果:
- 与BMI (HR 1.07; 95% CI 0.99-1.17) 相比,ABSI显示出与死亡率 (HR 1.13; 95% CI 1.05-1.21) 的独立关联较强.
- ABSI是虚弱的重要预测因素 (OR 1.55;95% CI 1.34-1.79),而BMI则没有 (OR 0.83;95% CI 0.69-1.01).
- 在BMI和ABSI之间观察到较低的相关性 (-0.11),表明它们捕捉了身体组成的不同方面.
结论:
- ABSI是一个有价值的,独立的预测者,在社区居住的老年人死亡风险.
- 在此种人群中,ABSI在识别脆弱性方面表现出比BMI更高的效用.
- 纳入ABSI可能会增强老年人的风险分层和健康管理策略.
更多相关视频
06:48Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
Published on: June 7, 2024
1.2K
07:44Author Spotlight: Implementation of BIVA for Analyzing Disease Risk Factors in Patients with Low Body Cell Mass
Published on: July 14, 2023
1.1K
相关概念视频
01:20Actuarial Approach
77
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
77
01:52Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
01:15Assumptions of Survival Analysis
125
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.
125