Evidence mapPaperPMID 40536804Full record

ArticleJMIR research protocols2025

Comparing the Accuracy of Different Wearable Activity Monitors in Patients With Lung Cancer and Providing Initial Recommendations: Protocol for a Pilot Validation Study.

Roberto M Benzo, Rujul Singh, Carolyn J Presley, Macy K Tetrick, Zachary L Chaplow, Chloe M Hery, Jane Yu, Peter Washington, Frank J Penedo, Electra D Paskett and 2 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Roberto M BenzoDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0001-8634-6472
Rujul SinghDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0009-0009-8757-0658
Carolyn J PresleyDivision of Medical Oncology, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0002-2607-5639
Macy K TetrickDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0009-0004-2605-9614
Zachary L ChaplowKinesiology, Department of Human Sciences, The Ohio State University, Columbus, OH, United States.ORCID 0000-0003-2758-0829
Chloe M HeryDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0002-4985-5646
Jane YuCollege of Medicine, The Ohio State University, Columbus, OH, United States.ORCID 0000-0002-0527-4022
Peter WashingtonDivision of Clinical Informatics and Digital Transformation, Department of Medicine, University of California - San Francisco, San Francisco, CA, United States.ORCID 0000-0003-3276-4411
Frank J PenedoDepartments of Psychology and Medicine, University of Miami, Coral Gables, FL, United States.ORCID 0000-0002-2780-0417
Electra D PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State Comprehensive Cancer Center, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, United States.ORCID 0000-0002-8247-8299
Vipul LugadeMotion Analysis Research Laboratory, The State University of New York Binghamton, Binghamton, NY, United States.ORCID 0000-0001-7226-6260
Emma FortuneDivision of Health Care Delivery Research, Mayo Clinic, Rochester, MN, United States.ORCID 0000-0001-8704-0598

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable activity monitors (WAMs) provide insights into physical activity (PA) and are widely used in behavioral interventions and cancer survivorship research. However, validation studies of wearable devices in populations with cancer are scarce, and existing studies using activity monitors in patients with cancer lack standardization. This gap is particularly significant in patients with lung cancer (LC), who often experience unique mobility challenges and gait impairments that may affect device accuracy. This study addresses this gap by validating the Fitbit Charge 6, ActiGraph LEAP, and activPAL3 micro in patients with LC in both laboratory and free-living conditions and developing a standardized framework for assessing wearable devices in populations with cancer and impaired mobility.

objectiveThis study aims to validate and compare the accuracy of consumer-grade (Fitbit Charge 6) and research-grade (activPAL3 micro and ActiGraph LEAP) WAMs in patients with LC under both laboratory and free-living conditions. Moreover, this protocol aims to establish standardized procedures that can be adapted for validating current and future generations of wearable devices while accounting for disease-specific factors that may impact measurement accuracy.

methodsIn total, 15 adults diagnosed with LC (stages 1-4) will participate in laboratory and free-living protocols, wearing Fitbit Charge 6, activPAL3 micro, and ActiGraph LEAP devices simultaneously. The laboratory protocol will consist of a series of structured activities, including variable-time walking trials, sitting and standing tests, posture changes, and gait speed assessments. Activities will be video recorded for validation. In the free-living protocol, participants will wear the devices continuously for 7 days except during water-based activities. WAM-based outcome measures will include step count; time spent at light, moderate, and vigorous PA intensity levels; posture; and posture changes (only the activPAL3 micro measured posture). Validated survey instruments will be administered both before and after WAM data collection to control for potential confounding factors that may influence movement patterns and device accuracy. Laboratory-based validity measures will compare WAM data to video-recorded observations. Sensitivity, specificity, positive predictive value, and agreement will also be determined. Free-living agreement between devices will be assessed using Bland-Altman plots, intraclass correlation analysis, and 95% limits of agreement.

resultsData collection is ongoing, with 11 participants enrolled and 7 (64%) having completed both in-laboratory and free-living protocols. On average, enrolled participants are aged 63.0 (SD 7.8; range 50.0-73.0) years, with 8 (73%) participants being women. Participant enrollment is expected to conclude in mid-2025, and initial findings are expected to be disseminated by the end of 2025.

conclusionsThis is the first study that validates WAM accuracy for populations with LC while providing comprehensive recommendations for future validation studies. This study will provide critical insights into the accuracy and reliability of WAMs for assessing PA in LC survivors, which are essential for interpreting clinical research and informing future interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/70472.

Indexed as

ExerciseFitness TrackersLung NeoplasmsWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedPilot ProjectsReproducibility of ResultsActiGraphactivPAL3 microcancer survivorshipconsumer technologydigital healthFitbitlung cancerphysical activity monitoringvalidation studywearable devices

Identifiers

PMID40536804
PMCPMC12226780

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.