Evidence map›Paper›PMID 41635465›Full record

ArticleJOR spine2026

In-Field Ecological Momentary Assessment From Wearable Motion Sensors and Self-Report in a Chronic Low Back Pain Cohort.

Kevin M Bell, Zakiy Alfikri, William Anderst, William W Clark, Harold A Cook, Jessa Darwin, Brad E Dicianno, Carol M Greco, Jordan Hoydick, John M Jakicic and 10 more

Abstract read
In one paragraph

Article in JOR spine, 2026. 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

20 authors.

Kevin M BellDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0003-2099-413X
Zakiy AlfikriDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.
William AnderstDepartment of Orthopaedic Surgery University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0002-0535-0953
William W ClarkMechanical Engineering and Materials Science Department University of Pittsburgh Pittsburgh Pennsylvania USA.
Harold A CookDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.
Jessa DarwinDepartment of Physical Medicine and Rehabilitation University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0003-3360-2043
Brad E DiciannoDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0003-0738-0192
Carol M GrecoDepartment of Psychiatry University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0002-3078-2918
Jordan HoydickDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.
John M JakicicDepartment of Internal Medicine University of Kansas Medical Center Kansas City Kansas USA.ORCID https://orcid.org/0000-0001-6800-9368
Gina P McKernanDepartment of Physical Medicine and Rehabilitation University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.
Bambang ParmantoDepartment of Biomedical Informatics University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.
Charity G PattersonDepartment of Physical Therapy University of Pittsburgh School of Health and Rehabilitation Science Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0002-0060-0124
Sara R PivaDepartment of Physical Therapy University of Pittsburgh School of Health and Rehabilitation Science Pittsburgh Pennsylvania USA.
Rachel E RoosDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.
Michael J SchneiderClinical and Translational Science Institute, University of Pittsburgh Pittsburgh Pennsylvania USA.
Meenakshi SundaramMechanical Engineering and Materials Science Department University of Pittsburgh Pittsburgh Pennsylvania USA.ORCID https://orcid.org/0000-0001-9478-8983
Nam V VoDepartment of Orthopaedic Surgery University of Pittsburgh School of Medicine Pittsburgh Pennsylvania USA.
Leming ZhouMcGowan Institute, University of Pittsburgh Pittsburgh Pennsylvania USA.
Gwendolyn A SowaDepartment of Bioengineering University of Pittsburgh Swanson School of Engineering Pittsburgh Pennsylvania USA.

Funding

Influence of inflammation-related genetic variants on PT treatment response in a population affected by CLBPU19AR076725 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SOWA, GWENDOLYN A, VO, NAM V · 2019 to 2023
$21.7M
NIAMS NIH HHS U19 AR076725
6 · The paper itself

Abstract

Background: Chronic low back pain (cLBP) is a prevalent and debilitating condition. Gaining insight into the daily experiences of those with cLBP is crucial for developing effective management. Pain and activity are typically assessed at a single time point and often rely on retrospective self-reports, which can be prone to recall bias and may not reflect the day-to-day variability of these experiences. As a part of the University of Pittsburgh LB Methods: This study enrolled 1007 adults with cLBP who met the National Institutes of Health defined criteria. Over 7 days, participants were assessed in their own environment. EMA was gathered in real-time via a custom mobile app, prompting participants three times daily to provide their perceptions of current pain intensity (0-10), pain interference (0-10), and activity level (very light to vigorous). Time of falling asleep and waking was also reported. Participants wore ActiGraph GT9X devices on their wrist and waist. A custom back sensor was also adhered to the skin over the lumbar (L5) segment. Activity counts, wear time, and step counts were calculated, utilizing algorithms provided by ActiGraph. Sensor data were filtered to include at least 4 days of 10 or more hours each. Activity counts were categorized into sedentary, light, and moderate-to-very-vigorous based on Freedson Adult cutpoints. Results: Out of 1007 participants, 989 submitted EMA data (58.8 ± 16.5 years old; 40% male and 60% female; mean pain intensity at enrollment of 5.4 (SD 2.1) and a median of 5 (interquartile range [IQR] 3) on a 0-10 scale; mean PROMIS Pain Interference Conclusions: Despite having cLBP with self-reported moderate pain levels, participants generally reported periods of relatively low levels of pain intensity and interference in their EMA. In addition, their EMA-reported activity levels differed from the sensor data. Participants self-reported higher levels of activity compared to the activity levels calculated by the wearable sensors. This suggests that participants overestimated their activity levels on EMA, or that the activity level cut-points may need to be re-evaluated for the cLBP population. Additionally, sensors placed on different body locations showed varying activity and step counts. The activity counts calculated from the waist ActiGraph and the back sensor from this cohort were lower than the average activity counts in the US adult population. Further research is needed to better quantify these differences for people with cLBP to develop a more comprehensive understanding of the pain experience.

Indexed as

chronic low back painecological momentary assessmentphysical activitysleepwearable motion sensors

Identifiers

PMID41635465
PMCPMC12861821

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.