Dear Guiseppe, 

You ask about factors contributing to CV. I focus on those psychological and you can always consult the researchers on RG who wrote the papers:

Article Personality style, differential vulnerability, and clinical ...

Chapter Cardiovascular Disease and Anxiety

Thesis Adiposity, stress, and stigmatization: A biopsychosocial app...

Article The interface of depression and cardiovascular disease: ther...

Thanks Beatrice, I read some and I'll read the others you suggested. In this issue I would like that cardiologists use to look at behind risk factors.

I think there are some studies that use more sophisticated SEM-based techniques such as latent class analysis and mixture growth modelling to extract sub classes within broad risk behaviour categories.  From what I can see we have been looking at broad ill-defined "risk factors" such as anxiety, obesity and - worst of all "stress" (so overapplied as to be practically meaningless, imho) for decades and are no closer to understanding issues. So there is a strong argument for looking at different sub-classes within a particular risk variable. One expected benefit from this is that those within the broad risk class that have low probabilities of CV events dilute the strength of association with the outcomes, so by pulling out the high prbability subgroups you can both increase the accountable variance in the DV and also obtain better risk characterization - i.e. is it just "obesity", or are certain sub-classes such as those who also have fatty liver involvement who have high probability of disease, while those who have "pear" shapes are at relatively low risk? This sort of sub-classification is now needed.  Best r