Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors.

ABSTRACT:

Background

Sedentary behavior (SB) is a recognized risk factor for many chronic diseases. ActiGraph and activPAL are two commonly used wearable accelerometers in SB research. The former measures body movement and the latter measures body posture. The goal of the current study is to quantify the pattern and variation of movement (by ActiGraph activity counts) during activPAL-identified sitting events, and examine associations between patterns and health-related outcomes, such as systolic and diastolic blood pressure (SBP and DBP).

Methods

The current study included 314 overweight postmenopausal women, who were instructed to wear an activPAL (at thigh) and ActiGraph (at waist) simultaneously for 24 hours a day for a week under free-living conditions. ActiGraph and activPAL dat

SUBMITTER: Zablocki RW 

PROVIDER: S-EPMC11055353 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature