Session 2: Optimizing Human Longevity, Healthiness and Happiness:
Biological and Medical Perspective
Scientific research related to aging and longevity continues to advance in understanding the factors of longevity, mechanisms of aging, and causes of age-relate diseases. It helps to see opportunities for interventions to address aging problems and prolong the human lifespan. However, the relationship between human longevity, healthiness and happiness is still controversial, especially research that uses subjective measurements. For example, Harvard University’s longest-running study concluded that happiness has a greater effect on longevity than genes. But research by the University of Oxford shows that happiness is not related to mortality or longevity. Understanding human longevity, healthiness and happiness and their relationships with the scientific approach therefore should be discussed.
- What biological factors and mechanisms are clearly evidenced to explain longevity, healthiness and happiness? How are the factors related to each other?
- How to schematize scientific and medical knowledge in order to optimize human longevity, healthiness and happiness?
- What are the gaps in knowledge? What direction should future research studies take?
Speakers:
1. Dr. Luigi Ferrucci MD,
Director of Baltimore Longitudinal Study of Aging and Director of National Institutes of Health, National Institute on Aging Biomedical Research Center
2. Prof. Dr. Nobuyoshi Hirose,
Center for Supercentenarian Medical Research Keio University School of Medicine (represented by Prof. Yasumichi Arai, Professor of Faculty of Nursing and Medical Care, Center for Supercentenarian Medical)
3. Asst. Prof. Dr. Mart Maipasert, M.D.,
Director of Master of Science of Anti-Aging and Regenerative Medicine, College of Integrative Medicine, Dhurakij Pundit University
4. Dr. Aisawan Petchlorlian,
Head of Division of Geriatric Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, The Thai Red Cross Society