Related Experiment Video

Updated: Aug 12, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

The West Point Study: 40 years of follow-up

D A Clark1, G D Tolan, R Johnson

  • 1Armstrong Laboratory (AFMC), Clinical Sciences Division, Brooks AFB, TX 78235-5117.

Aviation, Space, and Environmental Medicine
|May 1, 1994
PubMed

Insights

Early identification of coronary artery disease (CAD) risk is possible. A predictive formula using pre-age 28 risk factors can identify individuals with lower CAD risk, aiding in pilot selection.

Area of Science:

  • Cardiovascular Medicine
  • Preventive Cardiology
  • Aerospace Medicine

Background:

  • The West Point Study followed 387 members for 40 years, observing cardiovascular events.
  • Coronary artery disease (CAD) was a significant cause of morbidity and mortality, including sudden death, myocardial infarction (MI), angina, and silent CAD.

Purpose of the Study:

  • To develop a predictive model for identifying individuals at high risk of developing CAD before age 55.
  • To assess the feasibility of selecting pilot candidates with a low risk for CAD based on early-life risk factors.

Main Methods:

  • Utilized risk factors (serum cholesterol, HDL-cholesterol, systolic blood pressure, smoking status) measured before age 28.
  • Derived a multivariate regression formula using data from subjects with and without CAD.
  • Calculated a risk-related score for each study member.

Main Results:

  • The highest risk tertile showed 17% CAD incidence by age 55, with the first event at age 39.
  • The lowest risk tertile had only 2% CAD incidence by age 55, with the first event at age 51.
  • The predictive formula demonstrated significant risk stratification for CAD development.

Conclusions:

  • It is possible to predict an individual's risk for developing CAD by age 55 using pre-age 28 risk factors.
  • This predictive capability can be applied to select pilot candidates with a demonstrably lower risk for CAD.
  • Early cardiovascular risk assessment is crucial for long-term health outcomes and occupational suitability.

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...