About
Metabolic diseases, such as diabetes, cardiovascular disease, gout, and metabolic syndrome, represent a significant global health burden. The interplay between blood lipids, metabolites, lifestyle factors, and socioeconomic status (SES) is complex and multifactorial. Elevated blood lipids and altered metabolites are well-established risk factors for metabolic diseases, yet their interaction with lifestyle behaviors (e.g., diet, physical activity, smoking) and SES remains inadequately explored. Understanding these relationships is critical for developing targeted interventions to reduce the incidence and mortality of metabolic diseases.
Objectives:
1. To evaluate the correlation between blood lipids, metabolites, and metabolic disease prevalence and mortality.
2. To assess the impact of healthy lifestyle factors (e.g., diet, physical activity, smoking cessation) on the relationship between blood lipids and metabolic disease outcomes.
3. To investigate the role of SES in modulating the relationship between blood lipids, metabolites, and metabolic disease outcomes.
4. To explore potential causal relationships using advanced statistical and machine learning techniques, such as Mendelian randomization and causal inference models.