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Perspective: Risk Apportionment and Disease Intervention Strategies
Author(s) -
Barraj Leila M.,
Tran Nga L.,
Goodman Michael,
Ginevan Michael E.
Publication year - 2008
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2008.01028.x
Subject(s) - apportionment , public health , disease , context (archaeology) , risk analysis (engineering) , coronary heart disease , risk assessment , environmental health , epidemiology , intervention (counseling) , perspective (graphical) , actuarial science , medicine , computer science , business , geography , artificial intelligence , political science , pathology , computer security , archaeology , psychiatry , law , cardiology
The ultimate public health objective is the ability to predict and prevent disease, and not necessarily to identify an exhaustive list of potential disease risk factors. For any important public health outcome with multiple and potentially interrelated risk factors, an improved understanding of the contribution of individual and combinations of modifiable risk factors to the disease burden is essential for formulating an appropriate public health strategy. Partitioning techniques that divide the combined impact of multiple risk factors into exposure‐specific components while taking into account the potential interrelations among those components, have been described in the epidemiological literature. In this article, we review and compare the available methods and options for such apportionment and apply them in a more general public health context as a method of selecting and prioritizing coronary heart disease (CHD) prevention strategies.