Approved Research

Effects of cardiovascular health, sleep patterns, psychological factors, environmental exposure and genetic environmental relationships on progression of cardiometabolic multimorbidity trajectory

Lay summary

Aims:

The aim of this project is to determine the impact of cardiovascular health, sleep patterns, psychological factors, environmental exposures and genetic environmental relationships on progression trajectory of cardiometabolic multimorbidity.

Scientific rationale:

Cardiometabolic multimorbidity refer to the coexistence of at least two cardiometabolic diseases, usually including type 2 diabetes, ischemic heart disease, and stroke. Previous studies have shown that lifestyle, sleep status, psychological factors and environmental exposure play an important role in the occurrence of cardiometabolic multimorbidity and adverse prognosis. But it's worth noting that most of the previous studies used a segmented approach, that is, to explore the risk factors of cardiometabolic multimorbidity and related factors affecting the prognosis of patients with cardiometabolic multimorbidity in a separate analysis. However, cardiometabolic multimorbidity is part of a continuum that follows a trajectory from healthy state to first cardiometabolic disease, then progression to cardiometabolic multimorbidity, and finally further progression to death. In addition, the potential interaction of environment, cardiovascular health, and genetics on cardiometabolic multimorbidity has not been fully studied. Therefore, this project will provide useful information in this current gap of knowledge to aid research and understanding about the effects of cardiovascular health, sleep patterns, psychological factors, environmental exposures and genetic environmental relationships on progression of cardiometabolic multimorbidity trajectory.

Project duration:

This project will be completed within 36 months.

Public health impact:

This study helps to identify and manage cardiometabolic multimorbidity patients with certain high risk factors, which is critical in the search for new and more effective ways to prevent, diagnose and treat cardiometabolic multimorbidity.