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- Epidemiology of cardiovascular disease
- PUBLIC HEALTH
- PREVENTIVE MEDICINE
- PUBLIC HEALTH POLICY
Accurate prediction allows us to plan. This prediction capability has been made possible through the understanding of epidemiological principles of causation, while relying on statistical tools, or models, using an unbiased sample from a representative population in order to make an accurate claim. In the research work of Grau et al, an attempt had been undertaken to validate a prediction tool to estimate the disease burden, or risk, of coronary heart disease (CHD) should certain and known modifiable risk factors be altered given a public health initiative aimed at disease reduction.
The risk factors identified include those that are non-modifiable (age, gender) and those that may be modified (smoking, hypertension, diabetes, blood pressure). These had been originally defined in the Framingham Heart Study with 10-year risk of CHD contingent on the role of each of these factors. Risk of disease had been determined …
Collaborators Thomas Behrenbeck MD, PhD.
Contributors Dr. Kermott was the invited peer reviewer in collaboration with Dr. T. Behrenbeck; two contributing authors to this commentary article include JEO and KRB.
Competing interests None.
Provenance and peer review Commissioned; internally peer reviewed.