Rest-activity profiles among U.S. adults in a nationally representative sample: a functional principal component analysis.

ABSTRACT:

Background

The 24-h rest and activity behaviors (i.e., physical activity, sedentary behaviors and sleep) are fundamental human behaviors essential to health and well-being. Functional principal component analysis (fPCA) is a flexible approach for characterizing rest-activity rhythms and does not rely on a priori assumptions about the activity shape. The objective of our study is to apply fPCA to a nationally representative sample of American adults to characterize variations in the 24-h rest-activity pattern, determine how the pattern differs according to demographic, socioeconomic and work characteristics, and examine its associations with general health status.

Methods

The current analysis used data from adults 25 or older in the National Health and Nutrition Examination S

SUBMITTER: Xiao Q 

PROVIDER: S-EPMC8944104 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature