Evidence map›Paper›PMID 36129335›Full record

Observational studyThe journal of spinal cord medicine2022

Fat to lean mass ratio in spinal cord injury: Possible interplay of components of body composition that may instigate systemic inflammation and metabolic syndrome.

David R Dolbow, Gary J Farkas, Arthur S Berg, Michael A Welsch, Ashraf S Gorgey, David R Gater

Registry-linked trialAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in The journal of spinal cord medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07648173 (The Effects of a Hybrid HIIT-FES Cycling Program on Individuals With Spinal Cord Injury to Improve Cardiovascular and Metabolic Health), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT07648173 narecruitingnot on this mapstarted 2026, after this paper: background citation

The Effects of a Hybrid HIIT-FES Cycling Program on Individuals With Spinal Cord Injury to Improve Cardiovascular and Metabolic Health

TypeinterventionalSponsorWilliam Carey UniversityRan2026 to 2027Enrolled12ConditionsSpinal Cord InjuriesArmsMuscle strengthening exercise followed by Hybrid FES cycling Exercise, Active ROM exercise with arms and Passive ROM exercise with legs
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. An agent for change: The legacy of David R. Gater, Jr., MD, PhD.The journal of spinal cord medicine · 2022
    Article
  8. 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

6 authors.

David R DolbowDepartment of Physical Therapy, College of Health Sciences, William Carey University, Hattiesburg, MS, USA.
Gary J FarkasDepartment of Physical Medicine & Rehabilitation, University of Miami Miller School of Medicine, Miami, FL, USA.
Arthur S BergDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Michael A WelschThe John D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
Ashraf S GorgeySpinal Cord Injury and Disorders Service, Hunter Holmes McGuire VA Medical Center, Richmond, VA, USA.
David R GaterDepartment of Physical Medicine & Rehabilitation, University of Miami Miller School of Medicine, Miami, FL, USA.

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR031990 · NCRR · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLORE, JOHN N. · 2010 to 2011
$7.7M
NCRR NIH HHS UL1 RR031990
6 · The paper itself

Abstract

objectiveTo investigate the relationships between percentage fat mass (%FM), percentage lean mass (%LM), and the ratio of %FM to %LM with pro-inflammatory adipokines and metabolic syndrome in individuals with chronic spinal cord injury (SCI).

designObservational, cross-sectional. Linear and logistic regression were used to examine the associations between the %FM, %LM, and the %FM to %LM ratio with inflammatory markers and metabolic syndrome, respectively.

participantsSeventy chronic SCI men and women.

main outcome measures%FM, %LM, %FM to %LM ratio; fasting lipids, glucose, and tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity c-reactive protein (hs-CRP); metabolic syndrome as determined by The International Diabetes Federation criteria.

resultsThere were significant correlations between %FM, %LM and the %FM to %LM ratio with hs-CRP. The %LM beta coefficient value was negative and greater than the beta coefficient value for %FM. The %FM to %LM ratio had the strongest correlation with hs-CRP and showed the only significant relationship with IL-6. There were strong significant correlations between %FM, %LM and the %FM to %LM ratio with metabolic syndrome. However, the %FM to %LM ratio, again, showed the strongest relationship indicating that it may be the best predictor of metabolic syndrome.

conclusionBoth higher %FM and lower %LM affect cardiometabolic health and can be used as predictors for metabolic syndrome. However, the %FM to %LM ratio was the best predictor of systemic inflammation and cardiometabolic disorders in this group of SCI participants, suggesting that they both contribute to the statistical model.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeSpinal Cord InjuriesAbsorptiometry, PhotonBody CompositionBody Mass IndexBone DensityC-Reactive ProteinCross-Sectional StudiesFemaleHumansInflammationInterleukin-6MaleC-Reactive ProteinInterleukin-6AdipokinesMyokinesPercentage fat MassPercentage lean mass

Identifiers

PMID36129335
PMCPMC9662047

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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.