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Creating a Synthetic Behavioural Risk Factor Index to Assess Trends in Surveillance Data

An Index of Risk for Cardio-Vascular Disease as an Example
  • Stefano Campostrini
  • David V. McQueen

Abstract

The causal web that relates to cardiovascular disease (CVD) is highly complex, consisting of a mixture of biological, genetic, cultural, and behavioural determinants. It is well appreciated that the behavioural risk factors—such as obesity, lack of physical activity, and smoking—have an important impact on the etiology of CVD. These behaviours are multiple, often clustered (Raitakari et al., 1995), and presumably act in some sort of complex synergistic pattern in enhancing the possibility for CVD in any given individual as well as in the population as a whole. Nonetheless, the dimensions and patterning of these behaviours in relation to CVD are not as well understood as one would like.

Keywords

Risk Index Behavioral Risk Factor Surveillance System Usual Care Group Behavioural Risk Factor Delphi Technique 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Stefano Campostrini
    • 1
  • David V. McQueen
    • 2
  1. 1.University of PaviaPaviaItaly
  2. 2.Centers for Disease Control and PreventionAtlantaUSA

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