Anne B Newman1,2, Stephen B Kritchevsky3, Jack M Guralnik4, Steven R Cummings5, Marcel Salive6, George A Kuchel7, Jennifer Schrack8, Martha Clare Morris9, David Weir10, Andrea Baccarelli11, Joanne M Murabito12, Yoav Ben-Shlomo13,14, Mark A Espeland15, James Kirkland16, David Melzer17,18, Luigi Ferrucci19. 1. Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania. 2. Department of Geriatric Medicine, School of Medicine, University of Pittsburgh, Pennsylvania. 3. Sticht Center for Health Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina. 4. Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland. 5. San Francisco Coordinating Center, California Pacific Medical Center Research Institute San Fransisco, California, Bethesda, Maryland. 6. National Institute on Aging, National Institutes of Health, Bethesda, Maryland. 7. University of Connecticut Center on Aging, University of Connecticut Health, Farmington, CT, Baltimore, Maryland. 8. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. 9. Department of Internal Medicine, Rush Medical College, Rush University, Chicago, Illinois. 10. Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, New York, New York. 11. Department of Environmental Health Sciences, Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, New York. 12. Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts. 13. Population Health Sciences, University of Bristol, Bristol, UK. 14. National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK. 15. Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina. 16. Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota. 17. College of Medicine and Health, University of Exeter, Exeter, UK. 18. Center on Aging, School of Medicine, University of Connecticut, Farmington, Connecticut. 19. Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Abstract
BACKGROUND: Extensive work in basic and clinical science suggests that biological mechanisms of aging are causally related to the development of disease and disability in late life. Modulation of the biological mechanisms of aging can extend both life span and health span in animal models, but translation to humans has been slow. METHODS: Summary of workshop proceedings from the 2018-2019 Epidemiology of Aging Workshop hosted by the Intramural Research Program at the National Institute on Aging. RESULTS: Epidemiologic studies play a vital role to progress in this field, particularly in evaluating new risk factors and measures of biologic aging that may influence health span, as well as developing relevant outcome measures that are robust and relevant for older individuals. CONCLUSIONS: Appropriately designed epidemiological studies are needed to identify targets for intervention and to inform study design and sample size estimates for future clinical trials designed to promote health span.
BACKGROUND: Extensive work in basic and clinical science suggests that biological mechanisms of aging are causally related to the development of disease and disability in late life. Modulation of the biological mechanisms of aging can extend both life span and health span in animal models, but translation to humans has been slow. METHODS: Summary of workshop proceedings from the 2018-2019 Epidemiology of Aging Workshop hosted by the Intramural Research Program at the National Institute on Aging. RESULTS: Epidemiologic studies play a vital role to progress in this field, particularly in evaluating new risk factors and measures of biologic aging that may influence health span, as well as developing relevant outcome measures that are robust and relevant for older individuals. CONCLUSIONS: Appropriately designed epidemiological studies are needed to identify targets for intervention and to inform study design and sample size estimates for future clinical trials designed to promote health span.
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Authors: Jeffrey C Cegan; Benjamin D Trump; Susan M Cibulsky; Zachary A Collier; Christopher L Cummings; Scott L Greer; Holly Jarman; Kasia Klasa; Gary Kleinman; Melissa A Surette; Emily Wells; Igor Linkov Journal: Risk Manag Healthc Policy Date: 2021-07-07