Evidence map›Paper›PMID 36061487›Full record

ArticleJournal of pain research2022

Fibromyalgia: Associations Between Fat Infiltration, Physical Capacity, and Clinical Variables.

Björn Gerdle, Olof Dahlqvist Leinhard, Eva Lund, Ann Bengtsson, Peter Lundberg, Bijar Ghafouri, Mikael Fredrik Forsgren

Abstract read
In one paragraph

Article in Journal of pain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Fibromyalgia, Pain, and Physical Activity: A Bibliometric Analysis.International journal of environmental research and public health · 2023
    Article
  7. 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

7 authors.

Björn GerdlePain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, SE 581 83, Sweden.ORCID 0000-0002-4316-1264
Olof Dahlqvist LeinhardCentre for Medical Image Science and Visualization (CMIV), Linköping, SE 581 83, Sweden.
Eva LundDepartment of Radiation Physics, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, SE 581 83, Sweden.
Ann BengtssonPain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, SE 581 83, Sweden.
Peter LundbergCentre for Medical Image Science and Visualization (CMIV), Linköping, SE 581 83, Sweden.ORCID 0000-0001-8661-2232
Bijar GhafouriPain and Rehabilitation Centre, and Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, SE 581 83, Sweden.ORCID 0000-0002-6396-5104
Mikael Fredrik ForsgrenCentre for Medical Image Science and Visualization (CMIV), Linköping, SE 581 83, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a risk factor for the development of fibromyalgia (FM) and generally most studies report increased Body Mass Index (BMI) in FM. Obesity in FM is associated with a worse clinical presentation. FM patients have low physical conditioning and obesity further exacerbates these aspects. Hitherto studies of FM have focused upon a surrogate for overall measure of fat content, ie, BMI. This study is motivated by that ectopic fat and adipose tissues are rarely investigated in FM including their relationships to physical capacity variables. Moreover, their relationships to clinical variables including are not known. Aims were to 1) compare body composition between FM and healthy controls and 2) investigate if significant associations exist between body composition and physical capacity aspects and important clinical variables. Methods: FM patients (n = 32) and healthy controls (CON; n = 30) underwent a clinical examination that included pressure pain thresholds and physical tests. They completed a health questionnaire and participated in whole-body magnetic resonance imaging (MRI) to determine body composition aspects. Results: Abdominal adipose tissues, muscle fat, and BMI were significantly higher in FM, whereas muscle volumes of quadriceps were smaller. Physical capacity variables correlated negatively with body composition variables in FM. Both body composition and physical capacity variables were significant regressors of group belonging; the physical capacity variables alone showed stronger relationships with group membership. A mix of body composition variables and physical capacity variables were significant regressors of pain intensity and impact in FM. Body composition variables were the strongest regressors of blood pressures, which were increased in FM. Conclusion: Obesity has a negative influence on FM symptomatology and increases the risk for other serious conditions. Hence, obesity, dietary habits, and physical activity should be considered when developing clinical management plans for patients with FM.

Indexed as

body compositionbody mass indexchronic painfatfibromyalgiamagnetic resonance imagingmusclephysical fitness

Identifiers

PMID36061487
PMCPMC9434492

What Socratic holds

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LicenceCC BY
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 Socratic graph.