Mental disorders (e.g., depression, anxiety, bipolar disorder, schizophrenia) and CVD are deeply interconnected global health challenges with substantial individual and societal impacts. Despite extensive research, the mechanisms underlying their bidirectional relationship remain inadequately understood. Utilizing the UK Biobank dataset, this study will examine how mental disorders-such as depression, anxiety, bipolar disorder, and schizophrenia-contribute to the onset, progression, and prognosis of CVD, focusing on pathways like inflammation, autonomic dysregulation, and neuroendocrine disturbances. Additionally, we will investigate the interplay between genetic susceptibility and modifiable factors, including psychosocial stress, sleep dysfunction, and lifestyle behaviors, in shaping the risk for both conditions. Emphasis will also be placed on identifying shared biomarkers across inflammatory, neuroendocrine, and metabolic axes to improve early detection, risk stratification, and individualized therapeutic strategies. By integrating mental health into cardiovascular disease research, this study aims to advance the emerging field of psychocardiology, fostering precision medicine approaches to reduce the global burden of these comorbid conditions and enhance patient outcomes. The results of this research would be used as doctoral thesis and would be published on scholarly journals.
