Related Experiment Video

Updated: Mar 10, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

28.0K

Epidemiology

Philip Gorelick, Ka Sing Wong, Liping Liu

    Frontiers of Neurology and Neuroscience
    |December 14, 2016
    PubMed

    Insights

    Intracranial atherosclerotic occlusive disease is a leading cause of stroke globally, disproportionately affecting Asian populations. This review examines its epidemiology in Asia and explores reasons for racial and ethnic differences in disease distribution.

    Area of Science:

    • Neurology
    • Epidemiology
    • Vascular Medicine

    Background:

    • Intracranial atherosclerotic occlusive disease is a significant global cause of stroke.
    • Certain populations, including Asian, Black, and Hispanic individuals, exhibit a higher risk.
    • Understanding the epidemiology is crucial for stroke prevention strategies.

    Purpose of the Study:

    • To review the epidemiology of intracranial occlusive disease, focusing on Asian populations.
    • To compare epidemiological data between Asian countries and North America.
    • To explore potential origins of race-ethnic variations in atherosclerotic disease.

    Main Methods:

    • Literature review of epidemiological studies on intracranial occlusive disease.
    • Focus on data from China, Japan, Korea, and other Asian nations.
    • Comparative analysis of data from Asian and North American regions.

    Main Results:

    • Intracranial atherosclerotic occlusive disease is a major cause of stroke, particularly in Asian populations.
    • Epidemiological data highlight significant prevalence in East Asian countries.
    • Comparisons reveal distinct patterns of intracranial and extracranial disease distribution across different ethnic groups.

    Conclusions:

    • Intracranial atherosclerotic occlusive disease epidemiology varies significantly by geographic region and ethnicity.
    • Further research is needed to elucidate the genetic and environmental factors contributing to these disparities.
    • Targeted prevention efforts may be necessary for high-risk populations.

    More Related Videos

    Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens09:08

    Developing a Salivary Antibody Multiplex Immunoassay to Measure Human Exposure to Environmental Pathogens

    Published on: September 12, 2016

    9.2K
    Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples09:26

    Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

    Published on: June 30, 2023

    1.7K

    Related Concept Videos

    Introduction to Epidemiology01:26

    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,...
    2.3K
    Prevalence and Incidence01:08

    Prevalence and Incidence

    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...
    2.2K
    Statistical Methods for Analyzing Epidemiological Data01:25

    Statistical Methods for Analyzing Epidemiological Data

    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:
    1.1K
    Steps in Outbreak Investigation01:18

    Steps in Outbreak Investigation

    In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
    660
    Causality in Epidemiology01:21

    Causality in Epidemiology

    Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
    1.8K
    Study Designs in Epidemiology01:20

    Study Designs in Epidemiology

    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...
    1.3K