Population Health Models with Secondary Data Resources
About this Project
Population Health models have become an increasingly valuable approach for understanding how individual health outcomes are related to individual care, the overall healthcare system and the social, economic, and environmental context within which individual and population health outcomes evolve. This project hopes to incorporate the Population Health framework into the study of cognitive and other aging-related health changes in order to enhance our understanding of this phenomenon at both the individual and population level. While barriers do exist in terms of access to confidential and individual level health records, new approaches will allow researchers to incorporate contextual resources into health outcomes analysis of treatments for aging-related health issues.
What do we mean when we use the term "Population Health"?
Population Health is a “conceptual framework for thinking about why some populations are healthier than others” which lends itself to the study of lifecourse transitions that lead to cognitive change such as Alzheimer’s and other dementias.
How can you do your own research in this area?
Investigate cognitive, physical, and other health changes in later life within a Population Health (PH) framework; Work within the generalized PH framework by utilizing NACDA and other available databases within each information vector that can be used to measure change in health related subjects across time and be incorporated into Population Health models.
National Social Life, Health, and Aging Project (NSHAP): Wave 1, [United States], July 2005-March 2006
The Irish Longitudinal Study on Ageing (TILDA), 2009-2011
National Health and Nutrition Examination Survey (NHANES), 2007-2008
Health and Retirement Study (HRS)
Midlife in the United States (MIDUS Refresher): Biomarker Project, 2012-2016
Survey of Midlife in Japan (MIDJA 2): Biomarker Project, 2013-2014
New York City Health and Nutrition Examination Survey (NYC HANES), 2004
Long Beach Longitudinal Study
Swedish Adoption/Twin Study on Aging (SATSA), 1984, 1987, 1990, 1993, 2004, 2007, and 2010
Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa [HAALSI] Baseline Survey: Agincourt, South Africa, 2015
CRELES: Costa Rican Longevity and Healthy Aging Study, 2005 (Costa Rica Estudio de Longevidad y Envejecimiento Saludable)
Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, 2000 and 2006
Aging of Veterans of the Union Army: Surgeons' Certificates, Version S-1 Standardized, 1862-1940
Aspirin Myocardial Infarction Study, 1975-1979
Kaiser Permanente Study of the Oldest Old, 1971-1979 and 1980-1988: [California]
SABE - Survey on Health, Well-Being, and Aging in Latin America and the Caribbean, 2000
English Longitudinal Study of Ageing (ELSA)
Alameda County [California] Health and Ways of Living Study, 1999 Panel
Alameda County [California] Health and Ways of Living Study, 1994 and 1995 Panels
Alameda County [California] Health and Ways of Living Study, 1974 Panel (ICPSR 6838)
Health and Ways of Living Study, 1965 Panel: [Alameda County, California]
Census and Administrative:
- National Health Interview Survey
- Global Alzheimer's Association Interactive Network
- Health and Retirement Study
- Data Sharing for Demographic Research (DSDR)
- World Health Organization Global Health Observatory Data Repository
Regional and Local Health Accessibility:
Info That Addresses Social Determinants
of Health Models:
- The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site
- National Centralized Repository for Alzheimer's Disease and Related Dementias
- CDC's Social Determinants of Health: Know What Affects Health
- NACDA Director’s presentation at the AAIC 2018 (Deep Blue) "Integrating Research on Alzheimer’s and Other Dementias into Population Health Models: Overcoming Barriers and Embracing New Opportunities"