Evidence map›Paper›PMID 22748969›Full record

ArticleMetabolism: clinical and experimental2012

Insulin sensitivity is associated with thigh adipose tissue distribution in healthy postmenopausal women.

Amy M Goss, Barbara A Gower

Abstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 44 citations in OpenAlex.

  1. Trial
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  6. Review
  7. Associations of renal sinus fat with blood pressure and ectopic fat in a diverse cohort of adults.International journal of cardiology. Cardiovascular risk and prevention · 2023
    Article
  8. Article
  9. Article
  10. From an Apple to a Pear: Moving Fat around for Reversing Insulin Resistance.International journal of environmental research and public health · 2022
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Race affects the association of obesity measures with insulin sensitivity.The American journal of clinical nutrition · 2020
    Article
  19. Review
  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

2 authors at 1 institution in 1 country.

Amy M GossDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA. amymiski@uab.edu
Barbara A Gower
University of Alabama at Birmingham · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
Zevalin Radioimmunotherapy Using a Modified TreatmentM01RR000032 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RICH, ROBERT R. · 1985 to 2008
$23.6M
UAB CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE (CCTS) UL1: BPCAUL1RR025777 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUAY-WOODFORD, LISA MARIE · 2008 to 2011
$22.3M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
POSTMENOPAUSAL HORMONE THERAPY AND INTRA ABDOMINAL FATK01AG000740 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GOWER, BARBARA A. · 1997 to 2000
$89k
NCRR NIH HHS M01 RR000032NCRR NIH HHS M01-RR-00032NCRR NIH HHS UL 1RR025777NIA NIH HHS K01 AG000740NIA NIH HHS K01AG00740NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30 DK56336NIDDK NIH HHS P60 DK079626
6 · The paper itself

Abstract

objectiveEvidence suggests intermuscular adipose tissue (IMAT) may be linked to insulin resistance, whereas thigh subcutaneous adipose tissue (SAT) may be related favorably with indices of metabolic health. However, whether adipose tissue depots of the thigh are differentially related to insulin sensitivity independent of total adiposity and other adipose tissue depots has not been determined. The objective of this study was to identify independent associations of the subcompartments of adipose tissue of the thigh with insulin sensitivity among 97 healthy early postmenopausal women. MATERIALS AND

methodsComputed tomography (CT) scans of the mid-thigh were used to assess Thigh-SAT, Thigh perimuscular adipose tissue (PMAT), and Thigh-IMAT. CT scans at the L4-L5 intervertebral space were used to assess intra-abdominal adipose tissue (IAAT) and Abdominal-SAT. Total body fat was measured by dual-energy X-ray absorptiometry (DXA). The insulin sensitivity index (S(I)) was assessed by using a frequently sampled intravenous glucose tolerance test with minimal model analysis.

resultsResults indicated S(I) was positively associated with Thigh-SAT independent of total fat mass and other adipose tissue compartments. Among all women combined, S(I) was inversely associated with Thigh-IMAT independent of total fat mass. However, the relationship between S(I) and Thigh-IMAT was independent of IAAT only among women with high levels of Thigh-IMAT and IAAT.

conclusionsThis is the first study to demonstrate independent, opposing relationships of Thigh-SAT and Thigh-IMAT with insulin sensitivity in healthy postmenopausal women. Further research is needed to determine if these associations are causal in nature.

Indexed as

Adipose TissueBody Fat DistributionInsulin ResistanceMuscle, SkeletalPostmenopauseThighAbsorptiometry, PhotonBlood GlucoseBody CompositionFemaleHumansMiddle AgedBlood Glucose

Identifiers

PMID22748969
PMCPMC3465478
OpenAlexW1990031652

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.