Evidence map›Paper›PMID 37475604›Full record

ArticleObesity (Silver Spring, Md.)2023

Skeletal muscle adiposity is a novel risk factor for poor cognition in African Caribbean women.

Adrianna I Acevedo-Fontánez, Ryan K Cvejkus, Joseph M Zmuda, Allison L Kuipers, Emma Barinas-Mitchell, Akira Sekikawa, Victor Wheeler, Caterina Rosano, Iva Miljkovic

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Reproductive health history and later life cognition in African Caribbean women.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. Article
  8. Article
  9. Plasma proteomic analysis of intermuscular fat links muscle integrity with processing speed in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  10. Observational
  11. 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

9 authors at 2 institutions in 2 countries.

Adrianna I Acevedo-FontánezDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0107-5170
Ryan K CvejkusDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Joseph M ZmudaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Allison L KuipersDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Emma Barinas-MitchellDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Akira SekikawaDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Victor WheelerTobago Health Studies Office, Scarborough, Trinidad and Tobago.
Caterina RosanoDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Iva MiljkovicDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USUniversity of Trinidad and Tobago · TT

Funding

Cardiovascular Epidemiology Training ProgramT32HL083825 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AKIRA SEKIKAWA · 2008 to 2026
$6.1M
Myosteatosis, Cognition, and Blood Biomarkers of Alzheimer's Disease in Persons of African AncestryRF1AG077474 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA, ROSANO, CATERINA · 2022 to 2024
$3.6M
Epidemiology of Obesity, Diabetes, and Hypertension in African CaribbeansR01HL143793 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MILJKOVIC, IVA · 2018 to 2021
$2.7M
NHLBI NIH HHS R01 HL143793NHLBI NIH HHS T32 HL083825NIA NIH HHS RF1 AG077474
6 · The paper itself

Abstract

objectiveSkeletal muscle adiposity (myosteatosis) is recognized as a major risk factor for cardiometabolic diseases, and it increases with aging. The relationship of myosteatosis with cognitive impairment is unknown.

methodsThe association of calf myosteatosis (measured by computed tomography-derived skeletal muscle density; higher values indicate less myosteatosis) with cognitive function was examined among 626 African Caribbean women who were aged 40 to 84 years, a population highly vulnerable to increased myosteatosis. Cognition was assessed by the Digit Symbol Substitution Test (DSST), a test of information processing speed (higher scores indicate better performance). Linear regression was used to assess the association of muscle density with DSST.

resultsAdjusting for age, education, muscle area, BMI, hypertension, diabetes, cardiovascular event history, lifestyle factors, lipid-lowering medication use, and menopausal status, a one-SD lower muscle density was associated with a 1.69-point lower DSST score (p = 0.002). BMI, diabetes, and hypertension interactions were not statistically significant, suggesting that the main association was not moderated by overall obesity or cardiometabolic diseases.

conclusionsThese findings suggest that greater myosteatosis is associated with slower information processing speed, an early indicator of cognitive impairment. Further studies are needed to establish this association in this and other populations using an expanded battery of cognitive tests with longitudinal follow-up and to identify the biological mechanisms underlying this relationship.

Indexed as

Diabetes MellitusHypertensionAdiposityCaribbean RegionCognitionFemaleHumansMuscle, SkeletalObesityRisk Factors

Identifiers

PMID37475604
PMCPMC10680092
OpenAlexW4384926458

What OpenQuestion holds

Textmetadata
LicenceTDM
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.