Randi
Foraker
Randi Foraker
USA - St. Louis
Biography
Dr. Foraker is the Director of the Center for Population Health Informatics at the Institute for Informatics, Data Science & Biostatistics (I2DB), and Interim Director of the Center for Biostatistics and Data Science, and a Professor of Medicine at Washington University in St. Louis. Dr. Foraker also serves as Director of the Public Health Data and Training Center for the Institute for Public Health and Co-Director of the Center for Administrative Data Research.
Dr. Foraker specializes in the design of population-based studies and the integration of electronic health record (EHR) data with socioeconomic indicators as well as the use of synthetic data for research. Her recent research has focused on the application of clinical decision support – embedded in the EHR – to complement risk scoring in primary care, cardiology, and oncology.
Dr. Foraker specializes in the design of population-based studies and the integration of electronic health record (EHR) data with socioeconomic indicators as well as the use of synthetic data for research. Her recent research has focused on the application of clinical decision support – embedded in the EHR – to complement risk scoring in primary care, cardiology, and oncology.
Affiliations
- Washington University, St Louis
- Institute for Informatics, Data Science & Biostatistics (I2DB)
- Center for Biostatistics and Data Science
- Institute for Informatics, Data Science & Biostatistics (I2DB)
- Center for Biostatistics and Data Science
Abstract
Keys to improving and maintaining cardiovascular health
Keys to improving and maintaining cardiovascular health
The American Heart Association’s novel construct of cardiovascular health shifted a paradigm from a focus solely on disease treatment to one inclusive of health promotion across the life course. Recently the definition and quantification of each of the original metrics (Life’s Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change and new metrics were considered. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This enhanced approach to assessing cardiovascular health is called Life’s Essential 8. Its components include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each submetric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.
The American Heart Association’s novel construct of cardiovascular health shifted a paradigm from a focus solely on disease treatment to one inclusive of health promotion across the life course. Recently the definition and quantification of each of the original metrics (Life’s Simple 7) were evaluated for responsiveness to interindividual variation and intraindividual change and new metrics were considered. The foundational contexts of social determinants of health and psychological health were addressed as crucial factors in optimizing and preserving cardiovascular health. This enhanced approach to assessing cardiovascular health is called Life’s Essential 8. Its components include diet (updated), physical activity, nicotine exposure (updated), sleep health (new), body mass index, blood lipids (updated), blood glucose (updated), and blood pressure. Each submetric has a new scoring algorithm ranging from 0 to 100 points, allowing generation of a new composite cardiovascular health score (the unweighted average of all components) that also varies from 0 to 100 points. Methods for implementing cardiovascular health assessment and longitudinal monitoring are discussed, as are potential data sources and tools to promote widespread adoption in policy, public health, clinical, institutional, and community settings.