Evidence map›Paper›PMID 31017587›Full record

ArticleJMIR formative research2019

Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study.

Martine Jm Breteler, Joris H Janssen, Wilko Spiering, Cor J Kalkman, Wouter W van Solinge, Daan Aj Dohmen

2 registry-linked trialsAbstract read
In one paragraph

Article in JMIR formative research, 2019. 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 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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.

NCT04379921 nacompletednot on this mapstarted 2020, after this paper: background citation

Improving Spine Surgical Care With Real-Time Objective Patient Tracking Using the Apple Watch

TypeinterventionalSponsorStanford UniversityRan2020 to 2024Enrolled255ConditionsSpine Disease, Spine Degeneration, Spinal Stenosis, SurgeryArmsApple Watch and App
NCT05684367 narecruitingnot on this mapstarted 2023, after this paper: background citation

Center-Based and Home-Based Walking Exercise Intervention to Reduce Fatigue in Older Breast Cancer Survivors

TypeinterventionalSponsorUniversity of FloridaRan2023 to 2026Enrolled24ConditionsFatigue, Breast Cancer, Cancer, Therapy-RelatedArmsCenter-Based Walking Exercise, Home-Based Walking Exercise
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. 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

6 authors.

Martine Jm BretelerDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0001-7342-0741
Joris H JanssenFocusCura, Driebergen-Rijsenburg, Netherlands.ORCID http://orcid.org/0000-0001-9479-1066
Wilko SpieringDepartment of Vascular Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0002-2493-6407
Cor J KalkmanDepartment of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0002-8372-6960
Wouter W van SolingeDepartment of Clinical Chemistry and Haematology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.ORCID http://orcid.org/0000-0003-2867-2581
Daan Aj DohmenFocusCura, Driebergen-Rijsenburg, Netherlands.ORCID http://orcid.org/0000-0003-1738-914X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote monitoring of physical activity in patients with chronic conditions could be useful to offer care professionals real-time assessment of their patient's daily activity pattern to adjust appropriate treatment. However, the validity of commercially available activity trackers that can be used for telemonitoring purposes is limited.

objectiveThe purpose of this study was to test usability and determine the validity of 3 consumer-level activity trackers as a measure of free-living activity.

methodsA usability evaluation (study 1) and validation study (study 2) were conducted. In study 1, 10 individuals wore one activity tracker for a period of 30 days and filled in a questionnaire on ease of use and wearability. In study 2, we validated three selected activity trackers (Apple Watch, Misfit Shine, and iHealth Edge) and a fourth pedometer (Yamax Digiwalker) against the reference standard (Actigraph GT3X) in 30 healthy participants for 72 hours. Outcome measures were 95% limits of agreement (LoA) and bias (Bland-Altman analysis). Furthermore, median absolute differences (MAD) were calculated. Correction for bias was estimated and validated using leave-one-out cross validation.

resultsUsability evaluation of study 1 showed that iHealth Edge and Apple Watch were more comfortable to wear as compared with the Misfit Flash. Therefore, the Misfit Flash was replaced by Misfit Shine in study 2. During study 2, the total number of steps of the reference standard was 21,527 (interquartile range, IQR 17,475-24,809). Bias and LoA for number of steps from the Apple Watch and iHealth Edge were 968 (IQR -5478 to 7414) and 2021 (IQR -4994 to 9036) steps. For Misfit Shine and Yamax Digiwalker, bias was -1874 and 2004, both with wide LoA of (13,869 to 10,121) and (-10,932 to 14,940) steps, respectively. The Apple Watch noted the smallest MAD of 7.7% with the Actigraph, whereas the Yamax Digiwalker noted the highest MAD (20.3%). After leave-one-out cross validation, accuracy estimates of MAD of the iHealth Edge and Misfit Shine were within acceptable limits with 10.7% and 11.3%, respectively.

conclusionsOverall, the Apple Watch and iHealth Edge were positively evaluated after wearing. Validity varied widely between devices, with the Apple Watch being the most accurate and Yamax Digiwalker the least accurate for step count in free-living conditions. The iHealth Edge underestimates number of steps but can be considered reliable for activity monitoring after correction for bias. Misfit Shine overestimated number of steps and cannot be considered suitable for step count because of the low agreement. Future studies should focus on the added value of remotely monitoring activity patterns over time in chronic patients.

Indexed as

activity trackersexercisetelemedicine

Identifiers

PMID31017587
PMCPMC6505372

What OpenQuestion holds

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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.