Evidence map›Paper›PMID 33433391›Full record

ArticleJMIR mHealth and uHealth2021

Wrist-Worn Activity Trackers in Laboratory and Free-Living Settings for Patients With Chronic Pain: Criterion Validity Study.

Veronica Sjöberg, Jens Westergren, Andreas Monnier, Riccardo Lo Martire, Maria Hagströmer, Björn Olov Äng, Linda Vixner

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. 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 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 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.

NCT05009459 narecruitingnot on this map

eVISualisation of Physical Activity and Pain (eVIS) for Patients With Chronic Pain Participating in Swedish Interdisciplinary Pain Rehabilitation Programs: a Registry-based Randomized Controlled Clinical Trial

TypeinterventionalSponsorDalarna UniversityRan2021 to 2026Enrolled280ConditionsChronic PainArmseVIS
NCT07081737 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Future of Pain Management: Can Person-centred and Precision AI-Based Decision Support Enhance Interdisciplinary Rehabilitation for Chronic Pain?

TypeinterventionalSponsorBjorn AngRan2026 to 2029Enrolled400ConditionsPain, Chronic, Chronic Pain, Widespread, Pain ManagementArmsInterdisciplinary treatment (IDT) + Clinical Decision Support System (CDSS), Interdisciplinary treatment (IDT)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Veronica SjöbergSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.ORCID 0000-0002-3843-0407
Jens WestergrenSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.ORCID 0000-0001-8356-4669
Andreas MonnierSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.ORCID 0000-0001-8923-1670
Riccardo Lo MartireDepartment of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0003-0672-8214
Maria HagströmerDepartment of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.ORCID 0000-0002-4607-8677
Björn Olov ÄngSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.ORCID 0000-0001-7767-4589
Linda VixnerSchool of Education, Health and Social Studies, Dalarna University, Falun, Sweden.ORCID 0000-0002-6923-7140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity is evidently a crucial part of the rehabilitation process for patients with chronic pain. Modern wrist-worn activity tracking devices seemingly have a great potential to provide objective feedback and assist in the adoption of healthy physical activity behavior by supplying data of energy expenditure expressed as metabolic equivalent of task units (MET). However, no studies of any wrist-worn activity tracking devices' have examined criterion validity in estimating energy expenditure, heart rate, or step count in patients with chronic pain.

objectiveThe aim was to determine the criterion validity of wrist-worn activity tracking devices for estimations of energy expenditure, heart rate, and step count in a controlled laboratory setting and free-living settings for patients with chronic pain.

methodsIn this combined laboratory and field validation study, energy expenditure, heart rate, and step count were simultaneously estimated by a wrist-worn activity tracker (Fitbit Versa), indirect calorimetry (Jaeger Oxycon Pro), and a research-grade hip-worn accelerometer (ActiGraph GT3X) during treadmill walking at 3 speeds (3.0 km/h, 4.5 km/h, and 6.0 km/h) in the laboratory setting. Energy expenditure and step count were also estimated by the wrist-worn activity tracker in free-living settings for 72 hours. The criterion validity of each measure was determined using intraclass and Spearman correlation, Bland-Altman plots, and mean absolute percentage error. An analysis of variance was used to determine whether there were any significant systematic differences between estimations.

resultsA total of 42 patients (age: 25-66 years; male: 10/42, 24%; female: 32/42, 76%), living with chronic pain (duration, in years: mean 9, SD 6.72) were included. At baseline, their mean pain intensity was 3.5 (SD 1.1) out of 6 (Multidimensional Pain Inventory, Swedish version). Results showed that the wrist-worn activity tracking device (Fitbit Versa) systematically overestimated energy expenditure when compared to the criterion standard (Jaeger Oxycon Pro) and the relative criterion standard (ActiGraph GT3X). Poor agreement and poor correlation were shown between Fitbit Versa and both Jaeger Oxycon Pro and ActiGraph GT3X for estimated energy expenditure at all treadmill speeds. Estimations of heart rate demonstrated poor to fair agreement during laboratory-based treadmill walks. For step count, the wrist-worn devices showed fair agreement and fair correlation at most treadmill speeds. In free-living settings; however, the agreement for step count between the wrist-worn device and waist-worn accelerometer was good, and the correlation was excellent.

conclusionsThe wrist-worn device systematically overestimated energy expenditure and showed poor agreement and correlation compared to the criterion standard (Jaeger Oxycon Pro) and the relative criterion standard (ActiGraph GT3X), which needs to be considered when used clinically. Step count measured with a wrist-worn device, however, seemed to be a valid estimation, suggesting that future guidelines could include such variables in this group with chronic pain.

Indexed as

Chronic PainFitness TrackersAccelerometryAdultAgedEnergy MetabolismFemaleHeart RateHumansLaboratoriesMaleMiddle AgedMonitoring, AmbulatoryReproducibility of ResultsRunningWalkingchronic painenergy expenditureheart ratepainphysical activityrehabilitationstep countvaliditywearablewearable devices

Identifiers

PMID33433391
PMCPMC7838001

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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.