多因素落预防计划对死亡率的影响
Niko Korpi1,2, Marja Mikkelsson3,4, Tomi Korpi5
1Doctoral Programme in Clinical Research University of Helsinki, Finland.
Scandinavian journal of public health
|December 6, 2024
概括
多因素跌倒预防计划 (MFFPs) 可以降低整体死亡率,特别是在老年人中. 然而,MFFPs似乎没有减少与伤害相关的死亡,这需要进一步调查.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 多因素跌倒预防计划 (MFFPs) 是建立的干预措施,以减少老年人的跌倒和受伤.
- 多种药物对患者死亡率的影响仍然是一个需要进一步研究的领域.
研究的目的:
- 为了比较参与MFFPs的患者的死亡率与年龄,性别和居住地匹配的基于人口的对照.
- 调查MFFP参与者与对照者的特定死亡原因,包括事故和痴呆症.
主要方法:
- 芬兰进行了一项基于登记的回顾性受控队列研究.
- 该研究包括527名在家住的MFFP患者和1581名匹配的基于人口的对照.
主要成果:
- 与对照组相比 (39.1%),MFFP组的总死亡率略低 (40.4%),危险率为0.82 (p=0.041).
- 在MFFP患者中,意外死亡风险较高,但痴呆相关死亡风险较低.
- 在MFFP组中,72岁及以上的参与者显示死亡率低于他们的匹配对照组.
结论:
- 多种类型的类动物可能与全因死亡率的降低有关,特别是在72岁及以上的个体中.
- 该研究没有发现MFFPs降低受伤相关死亡率的证据
- 限制包括研究设置和对照组选择,需要进一步研究,理想情况下是随机对照试验,以确认MFFP对死亡率的有效性.
相关概念视频
Levels of Health Promotion and Illness Prevention
12.4K
Health promotion allows a person to control the determinants of health, resulting in an improved health status. It enhances the quality of life and reduces premature deaths. Health promotion and illness prevention programs help people make beneficial choices to reduce the risk of disease and disabilities. There are three health promotion and illness prevention levels: primary, secondary, and tertiary prevention.
In primary prevention, actions taken before disease onset prevent the disease from...
In primary prevention, actions taken before disease onset prevent the disease from...
12.4K
Kaplan-Meier Approach
98
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,...
98
Actuarial Approach
63
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,...
63


