Evidence map›Paper›PMID 32186722›Full record

ArticlePain medicine (Malden, Mass.)2020

The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study.

Diana M Higgins, Eugenia Buta, Alicia A Heapy, Mary A Driscoll, Robert D Kerns, Robin Masheb, William C Becker, Leslie R M Hausmann, Matthew J Bair, Laura Wandner and 3 more

Abstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Does the addition of peripheral nerve blocks improve analgesia during distal radius fracture reduction? A prospective, randomized, multicenter clinical trial.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
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  9. Obesity phenotypes related to musculoskeletal disorders; a cross-sectional study from RaNCD cohort.Archives of public health = Archives belges de sante publique · 2022
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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

13 authors.

Diana M HigginsAnesthesiology, Critical Care, and Pain Medicine Service, VA Boston Healthcare System, Boston, Massachusetts.
Eugenia ButaYale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut.
Alicia A HeapyPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
Mary A DriscollPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
Robert D KernsPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
Robin MashebPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
William C BeckerPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
Leslie R M HausmannCenter for Health Equity Research and Promotion (CHERP), Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Matthew J BairCenter for Health Information and Communication (CHIC), VA Health Services Research and Development, Indianapolis, Indiana.
Laura WandnerNational Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health, Bethesda, Maryland.
E Amy JankeUniversity of the Sciences, Philadelphia, Pennsylvania, USA.
Cynthia A BrandtPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.
Joseph L GouletPain Research Informatics Multimorbidities and Education (PRIME) Center of Innovation, VA Connecticut Healthcare System, West Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

objectiveTo examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain).

settingAdministrative and electronic health record data from the Veterans Health Administration (VHA). SUBJECTS: A national cohort of US military veterans with MSDs in VHA care during 2001-2012 (N = 1,759,338).

methodsThese cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics.

resultsThe sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21-1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups.

conclusionsThere was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis.

Indexed as

Musculoskeletal DiseasesVeteransBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansMaleChronic PainMusculoskeletalObesityOsteoarthritis

Identifiers

PMID32186722
PMCPMC7778330

What OpenQuestion holds

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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.