Evidence map›Paper›PMID 39125348›Full record

ArticleNutrients2024

The Association between Body Composition Phenotype and Insulin Resistance in Post-COVID-19 Syndrome Patients without Diabetes: A Cross-Sectional, Single-Center Study.

Dulce González-Islas, Laura Flores-Cisneros, Arturo Orea-Tejeda, Candace Keirns-Davis, Nadia Hernández-López, Laura Patricia Arcos-Pacheco, Andrea Zurita-Sandoval, Frida Albarran-López, Luis García-Castañeda, Fernanda Salgado-Fernández and 3 more

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Insulin Resistance and Inflammation.International journal of molecular sciences · 2026
    Review
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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.

Dulce González-IslasHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.ORCID 0000-0002-3378-1769
Laura Flores-CisnerosDepartment of Epidemiological Information Analysis, General Directorate of Epidemiology, Mexico City 01480, Mexico.
Arturo Orea-TejedaHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.ORCID 0000-0003-2305-141X
Candace Keirns-DavisHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.ORCID 0000-0001-5208-1525
Nadia Hernández-LópezLicenciatura en Nutriología, Facultad de Estudios Superiores Zaragoza, Universidad Nacional Autónoma de México, Mexico City 09230, Mexico.
Laura Patricia Arcos-PachecoHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.
Andrea Zurita-SandovalHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.
Frida Albarran-LópezHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.
Luis García-CastañedaClinical Nutrition Department, Hospital General "Dr. Manuel Gea González", Mexico City 14080, Mexico.
Fernanda Salgado-FernándezLicenciatura en Nutriología, Facultad de Estudios Superiores Zaragoza, Universidad Nacional Autónoma de México, Mexico City 09230, Mexico.
Samantha Hernández-LópezHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.
Angelia Jiménez-ValentínHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.
Ilse Pérez-GarcíaHeart Failure and Respiratory Distress Clinic, Instituto Nacional de Enfermedades Respiratorias "Ismael Cosío Villegas", Mexico City 14080, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most frequent body composition alterations in post-COVID-19 syndrome include low muscle mass, dynapenia, sarcopenia, and obesity. These conditions share interconnected pathophysiological mechanisms that exacerbate each other. The relationship between body composition phenotypes and metabolic abnormalities in post-COVID-19 syndrome remains unclear.

objectiveTo evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome.

methodsA cross-sectional, single-center study involving 483 subjects with post-COVID-19 syndrome following moderate to severe acute COVID-19 requiring hospitalization. Individuals with diabetes, those who declined to participate, or those who could not be contacted were excluded. Body composition phenotypes were classified as normal weight, dynapenia, sarcopenia, dynapenic obesity, and sarcopenic obesity (SO).

resultsThe average age was 52.69 ± 14.75 years; of note, 67.08% were male. The prevalence of body composition phenotypes was as follows: 13.25% were of normal weight, 9.52% had dynapenia, 9.94% had sarcopenia, 43.69% had obesity, 18.84% had dynapenic obesity, and 4.76% had SO. Additionally, 58.18% had IR. Obesity (OR: 2.98, CI95%; 1.64-5.41) and dynapenic obesity (OR: 4.98, CI95%; 1.46-6.88) were associated with IR.

conclusionThe most common body composition phenotypes were obesity, dynapenic obesity, and dynapenia. Furthermore, obesity and dynapenic obesity were associated with IR in post-COVID-19 syndrome.

Indexed as

Body CompositionCOVID-19Insulin ResistanceObesityPhenotypeSarcopeniaAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeSARS-CoV-2body composition phenotypedynapenic obesityinsulin resistancemetabolic abnormalitiesobesitypost-COVID-19sarcopenia

Identifiers

PMID39125348
PMCPMC11314085

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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.