Litcius/Paper detail

Comparison of Oura Smart Ring Against ActiGraph Accelerometer for Measurement of Physical Activity and Sedentary Time in a Free-Living Context

Hannakaisa Niela-Vilen, Iman Azimi, Kristin Suorsa, Fatemeh Sarhaddi, Sari Stenholm, Pasi Liljeberg, Amir M. Rahmani, Anna Axelin

2022CIN Computers Informatics Nursing13 citationsDOI

Abstract

Smart rings, such as the Oura ring, might have potential in health monitoring. To be able to identify optimal devices for healthcare settings, validity studies are needed. The aim of this study was to compare the Oura smart ring estimates of steps and sedentary time with data from the ActiGraph accelerometer in a free-living context. A cross-sectional observational study design was used. A convenience sample of healthy adults (n = 42) participated in the study and wore an Oura smart ring and an ActiGraph accelerometer on the non-dominant hand continuously for 1 week. The participants completed a background questionnaire and filled out a daily log about their sleeping times and times when they did not wear the devices. The median age of the participants (n = 42) was 32 years (range, 18-46 years). In total, 191 (61% of the potential) days were compared. The Oura ring overestimated the step counts compared with the ActiGraph. The mean difference was 1416 steps (95% confidence interval, 739-2093 steps). Daily sedentary time was also overestimated by the ring; the mean difference was 17 minutes (95% confidence interval, -2 to 37 minutes). The use of the ring in nursing interventions needs to be considered.

Topics & Concepts

AccelerometerContext (archaeology)Sedentary behaviorPhysical activityObservational studyPhysical therapyPhysical medicine and rehabilitationSedentary lifestyleConfidence intervalPsychological interventionMedicineContext awarenessActigraphyPsychologyComputer scienceActivity monitorRing (chemistry)SittingSample (material)Nursing Interventions ClassificationCross-sectional studyData collectionActivity trackerPhysical Activity and HealthContext-Aware Activity Recognition SystemsMobile Health and mHealth Applications