Fig. 1

Rest-activity profiles of 24-hour actigraphy data from adults in the National Health and Nutrition Examination Survey (2011-2014). Each panel depicts the mean 24-hour activity patterns for participants with high (solid line) and low (dotted) eigenvalues of the first four components derived from the functional principal component analysis (PCA): A The first component (50.2% variance), with higher eigenvalues representing a higher amplitude; B the second component (21.6% variance), with higher eigenvalues representing earlier rise time; C the third component (9.4% variance), with higher eigenvalues representing a more prolonged daytime activity window; D the forth component (5.6% variance), with higher eigenvalues representing a more pronounce biphasic pattern characterized by a mid-day dip in activity