Evidence map›Paper›PMID 36550747›Full record

ArticleEpidemiology and health2023

Long-term association of pericardial adipose tissue with incident diabetes and prediabetes: the Coronary Artery Risk Development in Young Adults Study.

Minsuk Oh, Wonhee Cho, Dong Hoon Lee, Kara M Whitaker, Pamela J Schreiner, James G Terry, Joon Young Kim

Open access · diamondAbstract read
In one paragraph

Article in Epidemiology and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 71% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Minsuk OhDepartment of Public Health, Baylor University, Waco, TX, USA.
Wonhee ChoDepartment of Exercise Science, Syracuse University, Syracuse, NY, USA.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kara M WhitakerDepartment of Health and Human Physiology, Department of Epidemiology, University of Iowa, Iowa City, IA, USA.
Pamela J SchreinerDivision of Epidemiology and Community Health, University of Minnesota, Twin Cities, MN, USA.
James G TerryDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Joon Young KimDepartment of Exercise Science, Syracuse University, Syracuse, NY, USA.
University of Iowa · USBaylor University · USHarvard University · USSyracuse University · USUniversity of Minnesota · USVanderbilt University Medical Center · US

Funding

NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007I
6 · The paper itself

Abstract

objectivesWe examined whether pericardial adipose tissue (PAT) is predictive of prediabetes and type 2 diabetes over time.

methodsIn total, 2,570 adults without prediabetes/diabetes from the Coronary Artery Risk Development in Young Adults Study were followed up over 15 years. PAT volume was measured by computed tomography scans, and the new onset of prediabetes/diabetes was examined 5 years, 10 years, and 15 years after the PAT measurements. Multivariable Cox regression models were used to examine the association between the tertile of PAT and incident prediabetes/diabetes up to 15 years later. The predictive ability of PAT (vs. waist circumference [WC], body mass index [BMI], waist-to-height ratio [WHtR]) for prediabetes/diabetes was examined by comparing the area under the receiver operating characteristic curve (AUC).

resultsThe highest tertile of PAT was associated with a 1.56 times (95% confidence interval [CI], 1.03 to 2.34) higher rate of diabetes than the lowest tertile; however, no association was found between the highest tertile of PAT and prediabetes in the fully adjusted models, including additional adjustment for BMI or WC. In the fully adjusted models, the AUCs of WC, BMI, WHtR, and PAT for predicting diabetes were not significantly different, whereas the AUC of WC for predicting prediabetes was higher than that of PAT.

conclusionsPAT may be a significant predictor of hyperglycemia, but this association might depend on the effect of BMI or WC. Additional work is warranted to examine whether novel adiposity indicators can suggest advanced and optimal information to supplement the established diagnosis for prediabetes/diabetes.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAdipose TissueBody Mass IndexCoronary VesselsHumansRisk FactorsWaist CircumferenceYoung AdultAdipose tissueDiabetesObesityPrediabetes

Identifiers

PMID36550747
PMCPMC10106546
OpenAlexW4311880085

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LicenceCC BY
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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.