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Risk factors and their identification. Third Part: Examples

B Balkau1, E Eschwege

  • 1INSERM U21, Hôpital Paul Brousse, Villejuif, France.

Diabete & Metabolisme
|October 1, 1995
PubMed
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This article reviews identifying disease risk factors, including diabetes. It examines study types and examples, discussing how associations become recognized risk factors and potential causes.

Area of Science:

  • Epidemiology
  • Metabolic Diseases
  • Public Health

Background:

  • This is the final article in a three-part series on identifying disease risk factors.
  • Previous articles defined risk factors, epidemiological measures (relative risk, odds ratio), and study designs (observational, cohort, case-cohort).
  • This paper focuses on applying these concepts to real-world examples.

Purpose of the Study:

  • To illustrate the identification of disease risk factors using literature examples.
  • To discuss the criteria for classifying an association as a risk factor.
  • To explore the distinction between a risk factor and a disease cause.

Main Methods:

  • Review of epidemiological literature on risk factor identification.
  • Analysis of case studies linking specific factors to diseases, such as diabetes and pancreatic cancer, and birth weight and non-insulin dependent diabetes.

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  • Discussion of established criteria for evaluating risk factor causality.

    • Main Results:

    • Examples demonstrate the application of epidemiological study designs in identifying potential risk factors.
    • The process of moving from observed association to confirmed risk factor status is complex.
    • Distinguishing between correlation and causation is crucial in epidemiological research.

    Conclusions:

    • Understanding risk factor identification is essential for disease prevention and management, particularly for conditions like diabetes.
    • Rigorous application of epidemiological methods and critical evaluation of evidence are necessary to establish causality.
    • Further research is needed to refine our understanding of risk factor mechanisms and their role in disease etiology.