Evidence map›Paper›PMID 23552273›Full record

ArticleBMC cardiovascular disorders2013

The relationship between DXA-based and anthropometric measures of visceral fat and morbidity in women.

Kenan Direk, Marina Cecelja, William Astle, Phil Chowienczyk, Tim D Spector, Mario Falchi, Toby Andrew

Open access · goldAbstract readComparative StudyTwin StudyValidation Study
In one paragraph

Article in BMC cardiovascular disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Comparison of selected body composition parameters in women using DXA and anthropometric method.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dual energy X-ray absorptiometry spine scans to determine abdominal fat in postmenopausal women.American journal of human biology : the official journal of the Human Biology Council · 2016
    Article
  19. Article
  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

7 authors at 4 institutions in 2 countries.

Kenan DirekDepartment of Twin Research and Genetic Epidemiology, London, UK.
Marina Cecelja
William Astle
Phil Chowienczyk
Tim D Spector
Mario Falchi
Toby Andrew
Cell and Gene Therapy Catapult · GBImperial College London · GBKing's College London · GBMcGill University · CA

Funding

British Heart Foundation PG/06/032British Heart Foundation SP/12/4/29573Medical Research Council 91993Medical Research Council G0901017Wellcome Trust
6 · The paper itself

Abstract

backgroundExcess accumulation of visceral fat is a prominent risk factor for cardiovascular and metabolic morbidity. While computed tomography (CT) is the gold standard to measure visceral adiposity, this is often not possible for large studies - thus valid, but less expensive and intrusive proxy measures of visceral fat are required such as dual-energy X-ray absorptiometry (DXA). Study aims were to a) identify a valid DXA-based measure of visceral adipose tissue (VAT), b) estimate VAT heritability and c) assess visceral fat association with morbidity in relation to body fat distribution.

methodsA validation sample of 54 females measured for detailed body fat composition - assessed using CT, DXA and anthropometry - was used to evaluate previously published predictive models of CT-measured visceral fat. Based upon a validated model, we realised an out-of-sample estimate of abdominal VAT area for a study sample of 3457 female volunteer twins and estimated VAT area heritability using a classical twin study design. Regression and residuals analyses were used to assess the relationship between adiposity and morbidity.

resultsPublished models applied to the validation sample explained >80% of the variance in CT-measured visceral fat. While CT visceral fat was best estimated using a linear regression for waist circumference, CT body cavity area and total abdominal fat (R2 = 0.91), anthropometric measures alone predicted VAT almost equally well (CT body cavity area and waist circumference, R2 = 0.86). Narrow sense VAT area heritability for the study sample was estimated to be 58% (95% CI: 51-66%) with a shared familial component of 24% (17-30%). VAT area is strongly associated with type 2 diabetes (T2D), hypertension (HT), subclinical atherosclerosis and liver function tests. In particular, VAT area is associated with T2D, HT and liver function (alanine transaminase) independent of DXA total abdominal fat and body mass index (BMI).

conclusionsDXA and anthropometric measures can be utilised to derive estimates of visceral fat as a reliable alternative to CT. Visceral fat is heritable and appears to mediate the association between body adiposity and morbidity. This observation is consistent with hypotheses that suggest excess visceral adiposity is causally related to cardiovascular and metabolic disease.

Indexed as

Absorptiometry, PhotonAdiposityAnthropometryDiseases in TwinsTomography, Spiral ComputedAdultAgedAged, 80 and overAtherosclerosisBody Mass IndexComorbidityDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHeredityHumans

Identifiers

PMID23552273
PMCPMC3769144
OpenAlexW2047893737

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.