Evidence map›Paper›PMID 32234006›Full record

Observational studyBMC musculoskeletal disorders2020

Obesity-associated poor muscle quality: prevalence and association with age, sex, and body mass index.

Pedro L Valenzuela, Nicola A Maffiuletti, Gabriella Tringali, Alessandra De Col, Alessandro Sartorio

Abstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Poor muscle quality: A hidden and detrimental health condition in obesity.Reviews in endocrine & metabolic disorders · 2025
    Review
  17. Article
  18. Sarcopenic obesity: a review.Archives of endocrinology and metabolism · 2025
    Review
  19. Article
  20. 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

5 authors.

Pedro L ValenzuelaDepartment of Systems Biology, School of Medicine, University of Alcalá, Ctra Barcelona, Km, 33 600 28871, Alcalá de Henares, Spain. pedrol.valenzuela@edu.uah.es.
Nicola A MaffiulettiHuman Performance Lab, Schulthess Clinic, Zurich, Switzerland.
Gabriella TringaliIstituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-endocrinological Research, Verbania, Piancavallo (VB), Italy.
Alessandra De ColIstituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-endocrinological Research, Verbania, Piancavallo (VB), Italy.
Alessandro SartorioIstituto Auxologico Italiano, IRCCS, Experimental Laboratory for Auxo-endocrinological Research, Verbania, Piancavallo (VB), Italy.

Funding

Istituto Auxologico Italiano 01C309Universidad de Alcalá FPI2016
6 · The paper itself

Abstract

backgroundMuscle quality (i.e., the expression of muscle function per unit of muscle mass) has been proposed as a clinically-relevant measure to detect individuals at risk of functional incapacity. Individuals with obesity might be at an increased risk of having poor muscle quality. Thus, we aimed to analyze the prevalence of poor muscle quality in obese individuals, to determine associated variables, and to provide normative values for this population.

methods203 individuals with obesity (103 women, age: 18-75 years, body mass index (BMI): 35-64 kg·m

resultsAge and being a woman were inversely associated with specific muscle strength, with age being also inversely associated with specific muscle power. A small proportion of participants (6%) presented with an impaired (i.e., low/poor) specific muscle power while most of them (96%) had impaired specific muscle strength. Eventually, 84% of the participants were deemed to have poor muscle quality. Being a woman (odds ratio [OR]: 18.09, 95% confidence intervals [CI]: 4.07-80.38), age (OR: 1.06, 95%CI: 1.03-1.10) and BMI (OR: 1.22, 95%CI: 1.07-1.38) were independently associated with a higher risk of poor muscle quality in adjusted analyses.

conclusionsThese findings show a high prevalence of poor muscle quality among individuals with obesity, with age, sex and BMI being independent predictors.

Indexed as

Hand StrengthActivities of Daily LivingAdolescentAdultAgedAgingBody Mass IndexCross-Sectional StudiesFemaleHumansLinear ModelsMaleMiddle AgedMuscle, SkeletalMuscular AtrophyObesityAgingDisabilityMuscle functionObesitySkeletal muscle

Identifiers

PMID32234006
PMCPMC7110672

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.