西班牙年轻人中风:根据年龄的流行病学和危险因素
Laura Amaya Pascasio1, Marina Blanco Ruiz1, Rodrigo Milán Pinilla1
1Stroke Centre, Department of Neurology, Torrecárdenas University Hospital, 04009 Almería, Spain.
Journal of personalized medicine
|May 27, 2023
概括
缺血性中风 (IS) 在年轻成年人中正在增加. 这项研究发现了西班牙50岁以下成年人中IS发病率,并指出男性的发病率更高,血管风险因素增加. 预防策略至关重要.
科学领域:
- 神经学 神经学
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 年轻成年人中缺血性中风 (IS) 的发病率越来越高.
- 在年轻人群中,血管风险因素的患病率增加.
- 对西班牙IS的性别和年龄特定数据的需求.
研究的目的:
- 估计西班牙IS的住院发病率.
- 根据性别和年龄分析与IS相关的并发症.
- 为预防策略提供数据.
主要方法:
- 对西班牙全国住院患者样本数据库 (2016-2019年) 的回顾性分析.
- 包括被诊断患有IS的成年患者.
- 按性别和年龄组进行分层分析.
主要成果:
- 成年人50岁以下的IS发病率:每10万人口中有11.9-13.5例.
- 在年轻年龄段的男性中观察到更高的IS发病率.
- 患有IS的年轻人表现出更高的血管风险因素的患病率.
结论:
- 提供了西班牙IS发病率和风险因素流行率的关键估计.
- 强调需要针对性地制定初级和二级预防策略.
- 强调在IS管理中考虑性别和年龄的重要性.
相关概念视频
Bias in Epidemiological Studies
388
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
388
Prevalence and Incidence
650
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...
650
Introduction to Epidemiology
810
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,...
810
Statistical Methods for Analyzing Epidemiological Data
434
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
434
Factors Affecting the Risk of Infection
12.1K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
12.1K
Study Designs in Epidemiology
292
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
292


