Evidence map›Paper›PMID 39694973›Full record

ArticleClinical rheumatology2025

Exploring the association of metabolic factors and chronic musculoskeletal pain over a period of 10 years - the Doetinchem Cohort Study.

Lotte Meert, H Susan J Picavet, Sophie Vervullens, Mira Meeus, Sander M J Van Kuijk, W M Monique Verschuren, Rob J E M Smeets

Abstract read
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In one paragraph

Article in Clinical rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

7 authors.

Lotte MeertResearch Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium. l.meert@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0002-0116-1346
H Susan J PicavetCentre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.ORCID http://orcid.org/0000-0002-6895-165X
Sophie VervullensResearch Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium.ORCID http://orcid.org/0000-0003-3409-8504
Mira MeeusResearch Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy (REVAKI), University of Antwerp, Wilrijk, Belgium.ORCID http://orcid.org/0000-0002-2022-5114
Sander M J Van KuijkDepartment of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, the Netherlands.
W M Monique VerschurenCentre for Prevention, Lifestyle and Health, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.ORCID http://orcid.org/0000-0003-2134-4227
Rob J E M SmeetsResearch School CAPHRI, Department of Rehabilitation Medicine, Maastricht University, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine (a) the association between metabolic factors and chronic musculoskeletal pain (CMP), (b) metabolic predictors of CMP 10 years later, and (c) the association and evolution of metabolic factors across different CMP trajectory groups.

designData from the longitudinal Doetinchem Cohort Study were used. We used round 4 (2003-2007), with 4519 participants aged 36-75 years, as the baseline for the present study, with follow-up measurements in round 5 (2008-2012), and 6 (2013-2017), including self-reported pain and metabolic factors, which were measured either via self-report or physical assessment. For the three research aims, (a) generalized linear mixed-effects models, (b) binary logistic regression analyses and (c) linear mixed-effects models were used.

results(a) Female sex, higher age, presence of diabetes, higher BMI, lower diastolic blood pressure (BP), and elevated cystatin C were significantly associated with CMP in multivariable logistic analyses. (b) Female sex and elevated BMI were predictors of CMP 10 years later. (c) Those pain-free for 10 years had the lowest BMI levels compared to other CMP groups (development, recovery, persistent, and recurrent CMP). BMI was higher in the persistent CMP group than in the development and recovery groups. The pain-free group had higher diastolic BP compared to those in the persistent CMP group. Participants in the persistent CMP group had higher Cystatin C levels than the free, development and recovery CMP groups. Regarding the evolution of metabolic factors over time, BMI, glucose and diastolic BP evolved differently across the CMP trajectory groups.

conclusionOur findings indicate the importance of metabolic factors, especially BMI, in the onset and progression of CMP. These findings underscore the need to consider metabolic health in the prevention and treatment of CMP. Key Points • Metabolic factors are associated with the presence of chronic musculoskeletal pain. • Female sex and elevated BMI are predictive of musculoskeletal pain (MP) 10 years later. • Metabolic factors evolve differently over time across different pain trajectory groups, with variations in BMI, glucose, and diastolic blood pressure.

Indexed as

Chronic PainMusculoskeletal PainAdultAgedBlood PressureBody Mass IndexFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSex FactorsBlood pressureBody mass indexChronic painGlucoseInflammationMetabolic diseasesMusculoskeletal painRisk factors

Identifiers

PMID39694973

What Socratic 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 Socratic graph.