Evidence map›Paper›PMID 25890168›Full record

ArticleThe international journal of behavioral nutrition and physical activity2015

The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: a cross-sectional study.

Ty Ferguson, Alex V Rowlands, Tim Olds, Carol Maher

2 registry-linked trialsAbstract readComparative StudyValidation Study
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 219 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03529383 nacompletednot on this mapstarted 2018, after this paper: background citation

Randomized Controlled Trial Evaluating the Efficacy of an Adapted Physical Activity Program Using a Connected Device With Activity Trackers and a Therapeutic Education Program Among Women With Localized Breast Cancer

TypeinterventionalSponsorCentre Leon BerardRan2018 to 2022Enrolled436ConditionsBreast CancerArmsConnected device, Therapeutic education
NCT06138418 naterminatednot on this mapstarted 2024, after this paper: background citation

Spasticity Multidisciplinary Management : QoL and Physical Activity Measurement With Connected Health Devices (PEPS)

TypeinterventionalSponsorUniversity Hospital, AngersRan2024 to 2025Enrolled2ConditionsSpastic FootArmsNeurotomy
3 · Its place in the literature

Who cites it

219 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  6. Telemonitoring of Real-World Health Data in Cardiology: A Systematic Review.International journal of environmental research and public health · 2021
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  17. Self-efficacy and Physical Activity in Overweight and Obese Adults Participating in a Worksite Weight Loss Intervention: Multistate Modeling of Wearable Device Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
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  18. Use of consumer monitors for estimating energy expenditure in youth.Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme · 2020
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159 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ty FergusonAlliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute, University of South Australia, GPO Box 2471, 5001, Adelaide, Australia. ferty02f@mymail.unisa.edu.au.
Alex V RowlandsAlliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute, University of South Australia, GPO Box 2471, 5001, Adelaide, Australia. Alex.Rowlands@unisa.edu.au.
Tim OldsAlliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute, University of South Australia, GPO Box 2471, 5001, Adelaide, Australia. tim.olds@unisa.edu.au.
Carol MaherAlliance for Research in Exercise, Nutrition and Activity (ARENA), Sansom Institute, University of South Australia, GPO Box 2471, 5001, Adelaide, Australia. carol.maher@unisa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTechnological advances have seen a burgeoning industry for accelerometer-based wearable activity monitors targeted at the consumer market. The purpose of this study was to determine the convergent validity of a selection of consumer-level accelerometer-based activity monitors.

methods21 healthy adults wore seven consumer-level activity monitors (Fitbit One, Fitbit Zip, Jawbone UP, Misfit Shine, Nike Fuelband, Striiv Smart Pedometer and Withings Pulse) and two research-grade accelerometers/multi-sensor devices (BodyMedia SenseWear, and ActiGraph GT3X+) for 48-hours. Participants went about their daily life in free-living conditions during data collection. The validity of the consumer-level activity monitors relative to the research devices for step count, moderate to vigorous physical activity (MVPA), sleep and total daily energy expenditure (TDEE) was quantified using Bland-Altman analysis, median absolute difference and Pearson's correlation.

resultsAll consumer-level activity monitors correlated strongly (r > 0.8) with research-grade devices for step count and sleep time, but only moderately-to-strongly for TDEE (r = 0.74-0.81) and MVPA (r = 0.52-0.91). Median absolute differences were generally modest for sleep and steps (<10% of research device mean values for the majority of devices) moderate for TDEE (<30% of research device mean values), and large for MVPA (26-298%). Across the constructs examined, the Fitbit One, Fitbit Zip and Withings Pulse performed most strongly.

conclusionsIn free-living conditions, the consumer-level activity monitors showed strong validity for the measurement of steps and sleep duration, and moderate valid for measurement of TDEE and MVPA. Validity for each construct ranged widely between devices, with the Fitbit One, Fitbit Zip and Withings Pulse being the strongest performers.

Indexed as

ExerciseAccelerometryActigraphyAdultCross-Sectional StudiesEnergy MetabolismFemaleHumansMaleMiddle AgedMonitoring, AmbulatoryMotor ActivityReproducibility of ResultsSleepYoung Adult

Identifiers

PMID25890168
PMCPMC4416251

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.