平衡信心预测了老年人的意外伤害性跌倒:一项纵向研究
Tewodros Yosef1,2, Julie A Pasco3,4,5, Monica C Tembo3
1Deakin University, School of Medicine, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, Geelong, Australia. s222626666@deakin.edu.au.
European geriatric medicine
|February 10, 2026
概括
低平衡信心,通过修改落效率表 (MFES) 测量,预测老年人的伤害性跌倒. MFES得分部分解释了过去和未来跌倒之间的联系,支持其在跌倒风险评估中的使用.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 临床医学 临床医学
背景情况:
- 跌倒是老年人的主要健康问题,导致流动性和生活质量下降.
- 低余额信心是与这一人口群体下降相关的重要因素.
研究的目的:
- 调查修改布效率量表 (MFES) 评分与老年人伤害性落的发生之间的关联.
- 为了确定MFES得分是否调解了先前和后来的伤害性跌倒之间的关系.
主要方法:
- 利用了来自吉隆骨质疏松症研究的数据,将参与者记录与维多利亚州紧急最低数据集联系起来.
- 雇员竞争风险回归评估MFES作为伤害性跌倒的预测因素,以及跌倒之间的关系的调解分析.
- 使用接收器操作特征 (ROC) 分析确定了最佳的MFES切割点.
主要成果:
- 低MFES得分是伤害性落事件的重要预测因素 (aSHR=1.019).
- 该研究发现MFES的截止值为55,但其辨别能力没有意义 (AUC=0.508).
- 较低的MFES得分占先前自我报告的跌倒和后来的损害性跌倒之间的关系的14.9%.
结论:
- 低MFES得分与伤害性跌倒有关,并部分调解了先前和后来的跌倒之间的关系.
- 虽然MFES的截止值为55,但其预测可靠性是有限的,因为其特异性和区分能力较低.
- 建议将MFES等平衡信心评估纳入多因素跌倒风险管理,与全球跌倒预防准则保持一致.
相关概念视频
Longitudinal Research
13.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K
Longitudinal Studies
535
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
535
Confidence Coefficient
10.7K
The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.7K
Prevalence and Incidence
1.9K
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.9K
Free-falling Bodies: Example
32.8K
An object falling without any air resistance under the influence of gravitational force is said to be in free-fall. For free-falling bodies, the acceleration due to gravity is constant, irrespective of their mass. Free-fall is experienced not only by objects falling downward, but also by all objects whose motion is influenced by gravitational force alone. The dynamics of free-fall motion can be calculated using kinematic equations of motion, since free-fall acceleration is constant.
The...
The...
32.8K
Confidence Intervals
10.8K
An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a sample proportion. However, unlike the point estimate which is a single value, the confidence interval contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
A...
10.8K


