Related Experiment Video
Updated: Apr 28, 2026
05:53
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
9.2K
[Historical cohorts: contribution to epidemiological knowledge]
Bulletin De L'Academie Nationale De Medecine
|June 13, 2014
Summary
French cohort studies since the 1960s offer valuable insights into public health. These large-scale population studies identify disease prevalence and risk factors, contributing significantly to global health knowledge.
Area of Science:
- Epidemiology
- Public Health Research
- Longitudinal Studies
Context:
- France has a rich history of conducting large cohort studies since the 1960s.
- Participants were drawn from diverse general and occupational populations.
- These studies have consistently provided critical data on public health issues.
Purpose:
- To investigate the prevalence of major public health problems.
- To identify key risk factors associated with these health issues.
- To contribute to the understanding of population health trends over time.
Summary:
- Multiple extensive cohort studies have been conducted in France, recruiting participants from various populations.
- These studies have yielded substantial data concerning the prevalence and risk factors of significant public health concerns.
- The research has resulted in a considerable number of internationally recognized publications.
Impact:
- The internationally recognized scientific value of these cohort studies is substantial.
- These studies have significantly advanced the understanding of public health challenges.
- The findings have informed public health strategies and interventions globally.
More Related Videos
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.3K
08:03Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
2.1K
Related Concept Videos
01:26Introduction to Epidemiology
2.3K
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
01:29Bias in Epidemiological Studies
1.6K
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:
1.6K
01:21Causality in Epidemiology
2.2K
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...
2.2K
01:25Statistical Methods for Analyzing Epidemiological Data
1.3K
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:
1.3K
02:20Longitudinal Research
11.7K
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...
11.7K
01:20Study Designs in Epidemiology
1.6K
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...
1.6K