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Quantile regressions as a tool to evaluate how an exposure shifts and reshapes the outcome distribution: A primer for epidemiologists.
Am J Epidemiol
August 2024
Department of Family and Community Medicine, University of California San Francisco.
Quantifying how an exposure affects the entire outcome distribution is often important, e.g., for outcomes such as blood pressure which have non-linear effects on long-term morbidity and mortality.
View Article and Find Full Text PDFFood Insecurity, Memory, and Dementia Among US Adults Aged 50 Years and Older.
JAMA Netw Open
November 2023
Department of Family and Community Medicine, University of California, San Francisco.
Importance: Despite existing federal programs to increase access to food, food insecurity is common among US older adults. Food insecurity may affect Alzheimer disease and Alzheimer disease-related dementias via multiple mechanisms, yet there is almost no quantitative research evaluating this association.
Objective: To examine whether food insecurity in older adults is associated with later-life cognitive outcomes.
Associations of Food Insecurity and Memory Function Among Middle to Older-Aged Adults in the Health and Retirement Study.
JAMA Netw Open
July 2023
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Importance: Food insecurity is a leading public health issue in the US. Research on food insecurity and cognitive aging is scarce, and is mostly cross-sectional. Food insecurity status and cognition both can change over the life course, but their longitudinal relationship remains unexplored.
View Article and Find Full Text PDFDifferential associations between state-level educational quality and cardiovascular health by race: Early-life exposures and late-life health.
SSM Popul Health
August 2019
Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, USA.
Cardiovascular diseases (CVD) are patterned by educational attainment but educational quality is rarely examined. Educational quality differences may help explain racial disparities. Health and Retirement Study respondent data (1992-2014; born 1900-1951) were linked to state- and year-specific educational quality measures when the respondent was 6 years old.
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