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Mi Kyung Kim's Diet & Health Lab

Welcome to our laboratory! We specialize in nutritional epidemiology research on diet-health associations, particularly cardiometabolic disorders and cognitive decline. Now our focus includes exposome wide association studies, systems epidemiology using omics, and innovative diet assessment methods.

Citrus Fruits


Our research focuses on analyzing the prospective associations of dietary factors (nutrients, antioxidants, foods, food groups, dietary patterns), alcohol, and lifestyles with outcomes such as cardiometabolic disorders (obesity, metabolic syndrome, diabetes, hypertension), atherosclerosis, and cardiovascular diseases. And also we're interested in cognitive aging, inflammatory response, changes and development of cardiovascular risk factors, and total and disease-specific deaths.
Our approach includes data-driven and hypothesis-driven analysis, integrated analysis of systems levels, exposome-(nutrient-, or food)-wide association study to disover the associatons between diet and health and also includes the development of dietary indices and the application of emerging machine learning technologies.
And we are also interested in exploring areas of precision nutrition, precision public health, innovative approaches to discover diet-health associations, and causal inference.

Latest Publications

Dietary flavonoids intake and incidence risk of hypertension in CAVAS cohort

In this study, we aimed to investigate the prospective associations and their shapes between the dietary intake of total flavonoids and their seven subclasses and hypertension risk in a prospective cohort, the KoGES_CArdioVascular disease Association Study (CAVAS), and to consider obesity status as an additional factor. A total of 10,325 adults aged 40 years and older were enrolled at baseline, and 2159 patients were newly diagnosed with hypertension during a median follow-up of 4.95 years. Cumulative dietary intake was estimated using a repeated food frequency questionnaire. Incidence rate ratios (IRRs) with 95% confidence intervals (CIs) were estimated using modified Poisson models with a robust error estimator. 


Our Team

I would be happy to introduce our research team. Our team is comprised of a diverse group of members who are passionate about studying and researching "Diet-Health" to improve the health and well-being of human beings.

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