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February 21, 2026Open Access

Transparent reporting of accelerometer-based prediction models for 24-hour movement behaviour analysis (TRAC-MOVE): A reporting checklist

Key Points

To provide a structured checklist for transparent reporting of accelerometer-based prediction models in movement behaviour research.
Development of a 15-item checklist for recording reporting standards.
Items are designed to align with established guidelines (TRIPOD+AI and STARD-AI).
Checklist includes tick boxes and space for page numbers of reported items.
The checklist promotes transparency by facilitating thorough reporting of prediction models.
It maps items to recognized reporting standards, enhancing clarity in methods and results.

Abstract

TRAC-MOVE is a 15-item checklist to support transparent reporting of studies training and testing accelerometer-based prediction models for 24-hour movement behaviour analysis. The checklist is designed to be completed alongside a manuscript, with tick boxes indicating items addressed and a field to record the page number where each item is reported. The “Correlates with” column maps items to established reporting guidance (TRIPOD+AI and STARD-AI). This record includes the canonical HTML checklist and matched PDF and DOCX versions. Licensed under CC BY 4.0.

Transparent reporting of accelerometer-based prediction models for 24-hour movement behaviour analysis (TRAC-MOVE): A reporting checklist

Key Points

Abstract

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