Influence of pre-processing criteria on analysis of accelerometry-based physical activity.

ABSTRACT:

Background

Accelerometers are widely adopted for physical activity (PA) measurement. Accelerometry data require pre-processing before entering formal statistical analyses. Many pre-processing criteria may influence PA outcomes and the processed sample, impacting results in subsequent statistical analyses.

Aim

To study the implications of pre-processing criteria for accelerometer data on outputs of interest in physical activity studies.

Methods

We used the ActiGraph hip-worn accelerometry data from 538 adult Latino participants. We studied four most important domains of pre-processing criteria (wear-time, minimum wear-time, intensity level, and modified bouts). We examined the true sample size in pre-processed data, the moderate-to-vigorous physical activity (MVPA) out

SUBMITTER: Han B 

PROVIDER: S-EPMC11694966 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature