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Fitbit's accuracy to measure short bouts of stepping and sedentary behaviour: validation, sensitivity and specificity study.

作者信息

Delobelle Julie, Lebuf Elien, Dyck Delfien Van, Compernolle Sofie, Janek Michael, Backere Femke De, Vetrovsky Tomas

机构信息

Physical Activity & Health, Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium.

Research Foundation Flanders (FWO), Brussels, Belgium.

出版信息

Digit Health. 2024 Jun 17;10:20552076241262710. doi: 10.1177/20552076241262710. eCollection 2024 Jan-Dec.


DOI:10.1177/20552076241262710
PMID:38894943
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11185038/
Abstract

OBJECTIVE: This study aims to assess the suitability of Fitbit devices for real-time physical activity (PA) and sedentary behaviour (SB) monitoring in the context of just-in-time adaptive interventions (JITAIs) and event-based ecological momentary assessment (EMA) studies. METHODS: Thirty-seven adults (18-65 years) and 32 older adults (65+) from Belgium and the Czech Republic wore four devices simultaneously for 3 days: two Fitbit models on the wrist, an ActiGraph GT3X+ at the hip and an ActivPAL at the thigh. Accuracy measures included mean (absolute) error and mean (absolute) percentage error. Concurrent validity was assessed using Lin's concordance correlation coefficient and Bland-Altman analyses. Fitbit's sensitivity and specificity for detecting stepping events across different thresholds and durations were calculated compared to ActiGraph, while ROC curve analyses identified optimal Fitbit thresholds for detecting sedentary events according to ActivPAL. RESULTS: Fitbits demonstrated validity in measuring steps on a short time scale compared to ActiGraph. Except for stepping above 120 steps/min in older adults, both Fitbit models detected stepping bouts in adults and older adults with sensitivities and specificities exceeding 87% and 97%, respectively. Optimal cut-off values for identifying prolonged sitting bouts achieved sensitivities and specificities greater than 93% and 89%, respectively. CONCLUSIONS: This study provides practical insights into using Fitbit devices in JITAIs and event-based EMA studies among adults and older adults. Fitbits' reasonable accuracy in detecting short bouts of stepping and SB makes them suitable for triggering JITAI prompts or EMA questionnaires following a PA or SB event of interest.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/119c99b36ec6/10.1177_20552076241262710-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/19f25f834258/10.1177_20552076241262710-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/24befa29e6f5/10.1177_20552076241262710-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/119c99b36ec6/10.1177_20552076241262710-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/19f25f834258/10.1177_20552076241262710-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/24befa29e6f5/10.1177_20552076241262710-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d18/11185038/119c99b36ec6/10.1177_20552076241262710-fig3.jpg

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[1]
Fitbit's accuracy to measure short bouts of stepping and sedentary behaviour: validation, sensitivity and specificity study.

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引用本文的文献

[1]
mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): statistical analysis plan.

Trials. 2025-5-20

[2]
Sensor-triggered ecological momentary assessment in physical activity and sedentary behaviour research among Belgian community-dwelling elderly: lessons learnt from intensive longitudinal studies.

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[3]
Contexts, affective and physical states and their variations during physical activity in older adults: an intensive longitudinal study with sensor-triggered event-based ecological momentary assessments.

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[4]
Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection.

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[5]
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BMJ Open. 2024-11-20

[6]
Participatory development of an mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED).

BMC Public Health. 2024-3-31

本文引用的文献

[1]
mHealth intervention delivered in general practice to increase physical activity and reduce sedentary behaviour of patients with prediabetes and type 2 diabetes (ENERGISED): rationale and study protocol for a pragmatic randomised controlled trial.

BMC Public Health. 2023-3-31

[2]
Disagreements in physical activity monitor validation study guidelines create challenges in conducting validity studies.

Front Digit Health. 2023-1-10

[3]
Criterion validity of ActiGraph monitoring devices for step counting and distance measurement in adults and older adults: a systematic review.

J Neuroeng Rehabil. 2022-10-17

[4]
Comparison of free-living physical activity measurements between ActiGraph GT3X-BT and Fitbit Charge 3 in young people with haemophilia.

Haemophilia. 2022-11

[5]
Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.

JMIR Mhealth Uhealth. 2022-6-9

[6]
The variability of emotions, physical complaints, intention, and self-efficacy: an ecological momentary assessment study in older adults.

PeerJ. 2022

[7]
Comparison of Wrist- and Hip-Worn Activity Monitors When Meeting Step Guidelines.

Prev Chronic Dis. 2022-4-14

[8]
Accuracy and Acceptability of Wrist-Wearable Activity-Tracking Devices: Systematic Review of the Literature.

J Med Internet Res. 2022-1-21

[9]
Using Fitbit as an mHealth Intervention Tool to Promote Physical Activity: Potential Challenges and Solutions.

JMIR Mhealth Uhealth. 2021-3-1

[10]
Recommendations for determining the validity of consumer wearable and smartphone step count: expert statement and checklist of the INTERLIVE network.

Br J Sports Med. 2021-7

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