Evidence map›Paper›PMID 29682733›Full record

ArticleEuropean journal of clinical investigation2018

Upper body fat predicts metabolic syndrome similarly in men and women.

Scott M Grundy, Corbin Williams, Gloria L Vega

Abstract read
In one paragraph

Article in European journal of clinical investigation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

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  11. Metabolic flexibility during late pregnancy is associated with neonatal adiposity.Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme · 2021
    Observational
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  17. Upper body fat predicts metabolic syndrome similarly in men and women.European journal of clinical investigation · 2018
    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

3 authors.

Scott M GrundyCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID http://orcid.org/0000-0003-2956-7900
Corbin WilliamsCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Gloria L VegaCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe metabolic syndrome is a constellation of risk factors including dyslipidemia, dysglycemia, hypertension, a pro-inflammatory state, and a prothrombotic state. All of these factors are accentuated by obesity. However, obesity can be defined by body mass index (BMI), percent body fat, or by body fat distribution. The latter consists of upper body fat (subcutaneous and visceral fat) and lower body fat (gluteofemoral fat). Waist circumference is a common surrogate marker for upper body fat.

methodsData from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2006 was examined for associations of metabolic risk factors with percent body fat, waist circumference, and BMI.

resultsAssociations between absolute measures of waist circumference and risk factors were similiar for men and women. The similarities of associations between waist circumference and risk factors suggests that greater visceral fat in men does not accentuate the influence of upper body fat on risk factors.

conclusionsDifferent waist concumference values should not be used to define abdominal obesity in men and women.

Indexed as

Blood PressureBody Mass IndexCholesterol, HDLC-Reactive ProteinFemaleHumansIntra-Abdominal FatMaleMetabolic SyndromeMiddle AgedObesityRisk FactorsSubcutaneous FatWaist CircumferenceCholesterol, HDLC-Reactive Proteinbody fatmetabolic syndromeobesityrisk factors

Identifiers

PMID29682733
PMCPMC6099361

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Registered trials

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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.