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Accelerometer data processing pipeline using ActiLife software for reproducible 24-hour physical behavior assessment
Bruno Pereira de Moura1, Jeffer Eidi Sasaki2, Rosane Harter Griep3
1Oswaldo Cruz Foundation, Sérgio Arouca National School of Public Health, Graduate Program in Public Health Epidemiology, Rio de Janeiro, RJ, Brazil.
Abstract:
This protocol describes a standardized and reproducible accelerometer data collection and processing workflow implemented in the ELSA-Brasil cohort using ActiLife software. The protocol enables consistent derivation of physical activity, sedentary behavior, and sleep metrics from hip-worn accelerometers in large epidemiological studies. Protocol summary: • Defines standardized procedures for accelerometer configuration, deployment, and data acquisition under 24-hour free-living conditions; • Specifies predefined ActiLife processing parameters including wear-time validation, sleep detection, and activity intensity classification; • Generates harmonized accelerometry-derived variables supporting replicable epidemiological analyses and cross-cohort comparability; This protocol provides a parameter-explicit framework for accelerometer data processing using ActiLife software and may serve as a reference standard for cohort studies using similar accelerometry approaches.
