Evidence map›Paper›PMID 38169435›Full record

ArticlePhysical therapy2024

Identifying Clinical Phenotypes in People Who Are Hispanic/Latino With Chronic Low Back Pain: Use of Sensor-Based Measures of Posture and Movement, Pain, and Psychological Factors.

Sara P Gombatto, Barbara Bailey, Monica Bari, Juna Bouchekara, Alyssa Holmes, Stephanie Lenz, Kerry Simmonds, Alexandra Vonarb, Kim Whelehon, Cristina Rangel Batalla and 1 more

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In one paragraph

Article in Physical therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Review
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

11 authors at 1 institution in 2 countries.

Sara P GombattoDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.ORCID 0000-0002-8284-4789
Barbara BaileyDepartment of Mathematics and Statistics, San Diego State University, San Diego, California, USA.
Monica BariDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Juna BouchekaraDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Alyssa HolmesDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Stephanie LenzDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Kerry SimmondsDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Alexandra VonarbDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Kim WhelehonDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
Cristina Rangel BatallaSDSU HealthLINK Center for Transdisciplinary Health Disparities Research, San Diego, California, USA.
Katrina S MonroeDoctor of Physical Therapy Program, Department of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, USA.
San Diego State University · US

Funding

The Research Infrastructure Core of SDSU HealthLINK Center for Transdisciplinary Health Disparities ResearchU54MD012397 · NIMHD · SAN DIEGO STATE UNIVERSITY · PI Karilyn Elizabeth Sant · 2018 to 2026
$39.0M
Building Capacity and Infrastructure for Population Health and Health Disparities Research at San Diego State UniversityS21MD010690 · NIMHD · SAN DIEGO STATE UNIVERSITY · PI AYALA, GUADALUPE X, CASTILLO, JOSE E · 2016 to 2020
$10.0M
NIH HHS U54MD012397NIMHD NIH HHS S21 MD010690NIMHD NIH HHS U54 MD012397
6 · The paper itself

Abstract

objectiveThe aim of this study was to identify clinical phenotypes using sensor-based measures of posture and movement, pain behavior, and psychological factors in Hispanic/Latino people with chronic low back pain (CLBP).

methodsBaseline measures from an ongoing clinical trial were analyzed for 81 Hispanic/Latino people with CLBP. Low back posture and movement were measured using commercial sensors during in-person testing and 8 hours of ecological monitoring. Magnitude, frequency, and duration of lumbar movements, sitting and standing postures were measured. Movement-evoked pain was assessed during in-person movement testing. Psychological measures included the Pain Catastrophizing Scale and the Fear Avoidance Beliefs Questionnaire. Random forest analysis was conducted to generate 2 groups and identify important variables that distinguish groups. Group differences in demographics, pain, psychological, and posture and movement variables were examined using t-tests and chi-square analyses.

resultsTwo subgroups of Hispanic/Latino people with CLBP were identified with minimal error (7.4% misclassification ["out-of-bag" error]). Ecological posture and movement measures best distinguished groups, although most movement-evoked pain and psychological measures did not. Group 1 had greater height and weight, lower movement frequency, more time in sitting, and less time in standing. Group 2 had a greater proportion of women than men, longer low back pain duration, higher movement frequency, more time in standing, and less time in sitting.

conclusionTwo distinct clinical phenotypes of Hispanic/Latino people with CLBP were identified. One group was distinguished by greater height and weight and more sedentary posture and movement behavior; the second group had more women, longer duration of low back pain, higher lumbar spine movement frequency, and longer duration of standing postures. IMPACT: Ecological measures of posture and movement are important for identifying 2 clinical phenotypes in Hispanic/Latino people with CLBP and may provide a basis for a more personalized plan of care. LAY SUMMARY: Wearable sensors were used to measure low back posture and movement in Hispanic/Latino people with chronic low back pain. These posture and movement measures helped to identify 2 different clinical subgroups that will give physical therapists more information to better personalize treatment for chronic low back pain in Hispanic/Latino patients.

Indexed as

Chronic PainLow Back PainFemaleHispanic or LatinoHumansLumbosacral RegionMaleMovementPostureChronic PainLow Back PainMovementPosture

Identifiers

PMID38169435
PMCPMC10851858
OpenAlexW4390538985

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.