Creating a Synthetic Behavioural Risk Factor Index to Assess Trends in Surveillance Data
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.
KeywordsCholesterol Obesity Caffeine Smoke Tate
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