Evidence map›Paper›PMID 33642515›Full record

ArticleJournal of epidemiology2022

Body Fat Distribution, Glucose Metabolism, and Diabetes Status Among Older Adults: The Multiethnic Cohort Adiposity Phenotype Study.

Gertraud Maskarinec, Phyllis Raquinio, Bruce S Kristal, Adrian A Franke, Steven D Buchthal, Thomas M Ernst, Kristine R Monroe, John A Shepherd, Yurii B Shvetsov, Loïc Le Marchand and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-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

13 citing papers in PubMed, 15 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Gertraud MaskarinecUniversity of Hawaii Cancer Center.ORCID 0000-0002-8129-958X
Phyllis RaquinioUniversity of Hawaii Cancer Center.
Bruce S KristalBrigham and Women's Hospital and Harvard Medical School.
Adrian A FrankeUniversity of Hawaii Cancer Center.
Steven D BuchthalUniversity of Hawaii Cancer Center.
Thomas M ErnstUniversity of Maryland.
Kristine R MonroeUniversity of Southern California.
John A ShepherdUniversity of Hawaii Cancer Center.ORCID 0000-0003-2280-2541
Yurii B ShvetsovUniversity of Hawaii Cancer Center.
Loïc Le MarchandUniversity of Hawaii Cancer Center.
Unhee LimUniversity of Hawaii Cancer Center.
University of Hawaiʻi at Mānoa · USBrigham and Women's Hospital · USUniversity of Maryland, College Park · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2012 to 2016
$19.9M
Lipidomics Biomarkers Link Sleep Restriction to Adiposity Phenotype, Diabetes, and Cardiovascular RiskR01HL140335 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI KRISTAL, BRUCE S · 2018 to 2021
$3.4M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NCI NIH HHS P01 CA168530NCI NIH HHS P30 CA071789NCI NIH HHS U01 CA164973NHLBI NIH HHS R01 HL140335
6 · The paper itself

Abstract

backgroundAs the proportion of visceral (VAT) to subcutaneous adipose tissue (SAT) may contribute to type 2 diabetes (T2D) development, we examined this relation in a cross-sectional design within the Multiethnic Cohort that includes Japanese Americans known to have high VAT. The aim was to understand how ectopic fat accumulation differs by glycemic status across ethnic groups with disparate rates of obesity, T2D, and propensity to accumulate VAT.

methodsIn 2013-2016, 1,746 participants aged 69.2 (standard deviation, 2.7) years from five ethnic groups completed questionnaires, blood collections, and whole-body dual X-ray absorptiometry and abdominal magnetic resonance imaging scans. Participants with self-reported T2D and/or medication were classified as T2D, those with fasting glucose >125 and 100-125 mg/dL as undiagnosed cases (UT2D) and prediabetes (PT2D), respectively. Using linear regression, we estimated adjusted means of adiposity measures by T2D status.

resultsOverall, 315 (18%) participants were classified as T2D, 158 (9%) as UT2D, 518 (30%) as PT2D, and 755 (43%) as normoglycemic (NG), with significant ethnic differences (P < 0.0001). In fully adjusted models, VAT, VAT/SAT, and percent liver fat increased significantly from NG, PT2D, UT2D, to T2D (P < 0.001). Across ethnic groups, the VAT/SAT ratio was lowest for NG participants and highest for T2D cases. Positive trends were observed in all groups except African Americans, with highest VAT/SAT in Japanese Americans.

conclusionThese findings indicate that VAT plays an important role in T2D etiology, in particular among Japanese Americans with high levels of ectopic adipose tissue, which drives the development of T2D to a greater degree than in other ethnic groups.

Indexed as

AdiposityDiabetes Mellitus, Type 2AgedBody Fat DistributionCross-Sectional StudiesGlucoseHumansIntra-Abdominal FatObesityPhenotypeGlucosebody fat distributionethnicitytype 2 diabetesvisceral fat

Identifiers

PMID33642515
PMCPMC9189316
OpenAlexW3135758873

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.