Applicability of consumer activity monitor data in marathon events: an exploratory study

Abstract

Emerging opportunities to measure individual and population-level health data with activity monitors during recreational running activities may set the stage for new research possibilities in mass participation running events and marathon medicine. This study explores the applicability of consumer activity monitor data in a preliminary study for future marathon health research with a cohort of 12 (n = 12) participants completing a 3.379 km walking or running course. This study explored the feasibility of collecting pace and distance data from Fitbit brand consumer activity monitors, from access to user data to reporting of data characteristics and data analysis. We show that a large percentage of participant data can be successfully retrieved from Fitbit consumer activity monitor devices for analysis in marathon health research, and that identifying variations in pace across participants is a practical possibility. We note a mean absolute percentage error of 13% over the true distance of 3.379 km, a higher error than that reported by other studies. We also observe a Pearson correlation coefficient between participant variation in pace and absolute distance error of 0.61. This study provides preliminary evidence to support the applicability of consumer activity monitor data in marathon health research.

KEYWORDS::

• Running
• mass participation
• information storage and retrieval
• marathon
• reliability and validity

Acknowledgements

The authors gratefully acknowledge the support of Dr George Chiampas, Chicago Event Management (CEM) and Bank of America.

Disclosure statement

The authors report no conflicts of interest.

Funding

No external financial support.

Geolocation information

This study occurred at approximately 42.0498614 degrees latitude, −87.6741897 longitude in Evanston, IL, USA.