This project answers the call from clinicians for a new and more accurate clinical guideline for diagnosis and treatment of CVD among asymptomatic individuals at medium or high risk, fail to be identified using existing risk models. We analyse the complex interaction between biological, behavioural, psychological and social determinants and asymptomatic carotid atherosclerosis in a subset of adult population 40+ years old in Västerbotten County in Sweden, and develop individualised risk prediction models.

This project will contribute to innovative risk model for clinicians to tailor a person-centred cardiovascular disease prevention and control programme for individuals at risk.

Method

This project combines analysis of longitudinal data from observational study and randomised clinical trial (from the VIPVIZA study) in developing risk prediction modelling for cardiovascular disease risk and designing tool for risk communication. The project analyses the complex interaction and causal associations between biological, behavioural, psychological and social determinants and asymptomatic carotid atherosclerosis in a subset of adult population 40+ years old in Västerbotten County in Sweden.

Contribution

This project will contribute to innovative risk model for clinicians to tailor a person-centred cardiovascular disease prevention and control programme for individuals at risk. A novel CVD risk prediction model integrating traditional risk factors, psychosocial determinants, and ultrasound imaging technology, coupled with advanced and novel modelling strategies could potentially be a useful tool for curbing the CVD epidemic and preventing untimely premature deaths.

Members

Research project/group

Global Public Health Research Group

Research at the School of Public Health and Community Medicine

At the School of Public Health and Community Medicine, we combine research based on statistical analysis of extensive…

All research areas at the Institute of Medicine

We conduct research in several major common diseases.