Cardiometabolic Health And Relationships To Sleep (CHARTS Study)
This study is funded by the National Heart, Lung and Blood Institute at the National Institutes of Health (K23HL110216). The overall aim of this observational study is to evaluate whether habitual short sleepers (6 hours or less) differ from 7-8 hour sleepers in terms of cardiovascular and metabolic function. Other domains are assessed as well, including sleepiness, performance, behavior, and psychological functioning. This study includes (1) an online survey, (2) an intake exam, (3) home sleep testing, (4) 2-week home monitoring, and (5) 3-night in-lab study. Data collection is ongoing. Visit the study website.
Project REST: Recovery Enhancement and Sleep Training
This study is funded by the National Collegiate Athletics Association (NCAA). This project consists of a survey, to be completed by student athletes returning to campus, and a peer-driven sleep health program that will use education, tracking, and technology to potentially improve the health and well-being of student athletes through improved sleep. Visit the study website.
Sleep and Healthy Activity, Diet, Environment, and Social Factors (SHADES Study)
This study is funded by the National Institute of Environmental Health Sciences at the National Institutes of Health (R21ES022931). The overall aim of this study is to characterize the social, environmental, and behavioral determinants of habitual short sleep duration. This study includes (1) a population-based survey of the Philadelphia area, (2) geospatial mapping of survey data superimposed with existing neighborhood-level data, and (3) a 2-week in-depth home monitoring study. Data collection is ongoing. Visit the study website.
Short Sleepers: Neurobehavioral, Metabolic and Biopsychosocial Characteristics (SHORT SLEEP Study)
Habitual short sleepers and habitual normal sleepers enrolled in a study to investigate health-related associations with habitual sleep duration. Participants collect data during a 2-week assessment period in their home and come into the lab for assessments of neurobehavioral performance, biopsychosocial functioning, metabolism, and polysomnographic sleep. Data collection complete. Data analysis ongoing.
Sleep and Health in the American Population
Secondary analysis of population-wide data for the purpose of characterizing sleep problems in the general population, as well as identify disparities in sleep health and examine relationships among these disparities and other health outcomes. More specifically, predictors of sleep disturbance from the sociodemographic domain (e.g., gender, age, ethnicity, income, education, marital status, employment), mental health (e.g., depression, anxiety, quality of life) and health (e.g., heart disease, diabetes, stroke, smoking, exercise, alcohol use) are being investigated. Analyses ongoing.
Current projects utilizing the Behavioral Risk Factor Surveillance System (BRFSS) include: (1) Disparities in sleep disturbance associated with race/ethnicity and socioeconomics [published], (2) Sleep disturbance and obesity, diabetes and exercise [published], (3) Sleep disturbance and cardiometabolic disease [published], (4) Sleep disturbance and daytime tiredness decrease with age [published], (5) Sociogeographic correlates of sleep disturbance [published], (6) Perceived racism and sleep disturbance [published], (7) Sleep duration versus sleep insufficiency [published], (8) Social and behavioral determinants of sleep insufficiency [submitted], (9) Spatial analysis of sleep insufficiency by county [in preparation], and others.
Current projects utilizing the National Health and Nutrition Examination Survey (NHANES) include: (1) Sleep duration and C-reactive protein [published], (2) Sleep symptoms and dietary intake [published], (3) Sleep duration and dietary intake [published], (4) Disparities in sleep symptoms relative to demographics and socioeconomics [submitted], (5) Disparities in sleep duration [in preparation], (6) Sleep symptoms and metabolic syndrome [submitted], (7) Insomnia and cardiometabolic risk factors [submitted], and others.