Objectively Determined Sleep Estimates of the US Population

Tiago Barreira (EX SCI) PI, Aesoon Park (PSY) co-I, Les Gilles (PSY) co-I, and Kevin Heffernan (EX SCI) co-I, CUSE Grant – Innovative & Interdisciplinary Research. 7/1/21-6/30/23

This project will utilize the wrist-worn accelerometer data from 2 cycles (2011-12, 2013-14) of the National Health and Nutrition Examination Survey (NHANES) that was recently released (Feb 2021). We have 3 main objects: (1) Refine an automated algorithm to process NHANES data to obtain sleep estimates as well as more granular information like sleep efficiency, wake after sleep, and other sleep variables to determine sleep architecture; (2)Complete exploratory analysis investigating the relationship between sleep measures to several behaviors and health outcomes, and; (3) Use results from exploratory analysis to apply for NIH funding.