Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

F62 Validation of digital assessment of physical activity in Huntington’s disease: comparing fitbit charge 4 step count with research-grade accelerometers

Mann, Elliot, Drew, Cheney J.G. ORCID: https://orcid.org/0000-0002-4397-6252, Busse, Monica ORCID: https://orcid.org/0000-0002-5331-5909, Doheny, Emer and Lowery, Madeleine 2022. F62 Validation of digital assessment of physical activity in Huntington’s disease: comparing fitbit charge 4 step count with research-grade accelerometers. Presented at: EHDN 2022 Plenary Meeting, Bologna, Italy, 16-18 September 2022. Journal of Neurology, Neurosurgery and Psychiatry. BMJ Publishing Group, A58-A59. 10.1136/jnnp-2022-ehdn.153

Full text not available from this repository.

Abstract

Background Physical activity has been implicated in improving symptom management and quality of life in Huntington’s disease (HD). Verifying the role of physical activity in HD requires accurate quantification of exercise metrics. Aim To assess the reliability and validity of Fitbit® Charge 4 step-count compared to research accelerometers and observer count in HD patients. Methods 17 manifest HD participants completed two indoor 2-minute walking tests (2MWT) while wearing a Fitbit® charge 4, and an ActiGraph GTX9 on their non-dominant wrist, ActivPAL4™ on both anterior thighs, and ActiGraph GTX9 on both anterior shanks. Steps were manually counted from video recordings of the 2MWTs. Step-counts for devices were obtained from their proprietary software. Intraclass correlation coefficients (ICC) determined Fitbit and observer reliability, whilst Bland-Altman (B-A) analysis demonstrated monitor agreement. Results Intra-rater reliability of researcher count from repeat trials was excellent (ICC 0.95/n = 17) meanwhile, Fitbit yielded good reliability (ICC 0.81/n = 16). B-A plots displayed greatest agreement between Fitbit and manual count (bias -4.7/SD 36.2). Average monitor count revealed largest consistencies with ActivPAL4 and Fitbit (bias -3.4/SD 37.4) whereas, wrist-worn ActiGraph deviated markedly (bias 4.9/SD 66.9). Motor symptom severity did not influence average Fitbit count although, upper extremity devices occasionally underestimated steps produced. Conclusions Whilst superior step-count accuracy was seen with devices placed on lower limbs, these data show that Fitbit charge 4 may be a reliable device for monitoring steps in manifest HD.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Medicine
Centre for Trials Research (CNTRR)
Additional Information: Conference Abstract
Publisher: BMJ Publishing Group
ISSN: 0022-3050
Last Modified: 20 Jun 2023 14:16
URI: https://orca.cardiff.ac.uk/id/eprint/159392

Actions (repository staff only)

Edit Item Edit Item