Yonsei University · Medicine
Professor Chung Mo Nam's research lab specializes in pharmaco-epidemiology and cardiovascular disease research, focusing on the long-term effects of medications on metabolic and cardiovascular outcomes. The lab investigates drug-dose relationships, particularly in obesity and hypertension management, using advanced statistical methods such as time-dependent Cox regression to minimize bias in longitudinal data. A key research direction involves understanding reproductive factors—such as age at first childbirth and menarche timing—as predictors of cardiovascular disease risk. The lab also examines the interplay between lifestyle, reproductive history, and chronic disease outcomes in population-based studies.
Figures are computed from collected data and may differ slightly.
Sibutramine showed a large effect on weight loss. Because blood pressure was found to be increased slightly, but significantly, sibutramine should be used cautiously in patients with borderline or high blood pressure. Additional studies on its effect on blood pressure are needed.
While both time-dependent Cox regression model and landmark analysis are useful in resolving the problem of guarantee-time bias, time-dependent Cox regression is the most appropriate method for analyzing cumulative dose effects in pharmaco-epidemiological studies.
An inverse relationship between age at first childbirth and the risk of cardiovascular disease mortality exists. In addition, early menarche may be a reproductive risk factor for coronary heart disease mortality.
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