Cardiovascular disease (CVD) is a leading cause of death and disability worldwide. A growing evidence suggests a multifactorial origin but traditional risk factors such as hypertension and a sedentary lifestyle do not explain the entire risk for CVD. Thus, studies of novel risk factors as well as the combination of risk factors are needed to better understand the causes of CVD. Several studies have demonstrated that modifiable risk factors (e.g., diabetes, sleep-related problems, shift work, unhealthy dietary patterns, and stress) are associated with increased risk for CVD. However, results are inconclusive and the mechanisms underlying the relationship between these factors and CVD are not well understood. Proteomic and metabolomic data analyses may help us to identify new biomarkers for CVDs and suggest potential mechanisms underlying associations between modifiable risk factors and CVDs. The overall aim is to examine the role of modifiable risk factors (e.g., lifestyle-related risk factors) in the development of CVDs in Swedish males and females. In addition, we aim to investigate if circulating proteins or metabolites are associated with modifiable risk factors for CVD. Cox proportional hazards regression models will be used to estimate relative risks (95% CI) of CVD associated with modifiable risk factors. We believe that our results will contribute with important scientific knowledge regarding the role of modifiable risk factors in prevention of CVD and thus are of importance from a public health point of view and for societal costs.