Evidence map›Paper›PMID 23418072›Full record

ArticleObesity (Silver Spring, Md.)2013

A metabolically healthy obese phenotype in hispanic participants in the IRAS family study.

Xanthia F Samaropoulos, Kristen G Hairston, Andrea Anderson, Steven M Haffner, Carlos Lorenzo, Maria Montez, Jill M Norris, Ann L Scherzinger, Yii-Der Ida Chen, Lynne E Wagenknecht

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Metabolically Healthy Obesity.Endocrine reviews · 2020
    Review
  7. Article
  8. Review
  9. Review
  10. 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

10 authors at 5 institutions in 1 country.

Xanthia F SamaropoulosDepartment of Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Kristen G Hairston
Andrea Anderson
Steven M Haffner
Carlos Lorenzo
Maria Montez
Jill M Norris
Ann L Scherzinger
Yii-Der Ida Chen
Lynne E Wagenknecht
Wake Forest University · USThe University of Texas at San Antonio · USCedars-Sinai Medical Center · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Colorado Denver · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PETER J TONTONOZ · 2003 to 2026
$40.4M
Molecular genetics of glucose homeostasis and fatR01HL060894 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 1999 to 2009
$6.0M
IRAS FAMILY STUDY--GENETICS OF INSULIN RESISTANCER01HL060944 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 1999 to 2009
$5.5M
IRAS FAMILY STUDY: GENETICS OF INSULIN RESISTANCER01HL060919 · NHLBI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LORENZO, CARLOS · 1999 to 2008
$2.7M
Training Grant in Quality of Care and Outcomes Research in Cardiovascular DiseaseT32HL087730 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI GOFF, DAVID C · 2008 to 2011
$1.1M
NCATS NIH HHS UL1 TR000124NHLBI NIH HHS R01 HL060894NHLBI NIH HHS R01HL060894NHLBI NIH HHS R01 HL060919NHLBI NIH HHS R01HL060919NHLBI NIH HHS R01 HL060944NHLBI NIH HHS R01HL060944NHLBI NIH HHS T32 HL087730NHLBI NIH HHS T32HL087730NIDDK NIH HHS P30 DK063491PHS HHS R01061019
6 · The paper itself

Abstract

objectiveSome obese individuals appear to be protected from developing type 2 diabetes mellitus and cardiovascular disease (CVD). This has led to characterizing body size phenotypes based on cardiometabolic risk factors specifically as obese or overweight, and as metabolically healthy (MH) or metabolically abnormal (MA) based upon blood pressure, lipids, glucose homeostasis, and inflammatory parameters. The aim of this study was to measure the prevalence of and describe fat distribution across these phenotypes in a minority population. DESIGN AND

methodsHispanic participants (N = 1054) in the IRAS Family Study were categorized into different body size phenotypes. Computed tomography (CT) abdominal scans were evaluated for measures of nonalcoholic fatty liver disease (NAFLD) and abdominal fat distribution. Statistical models adjusting for familial relationships were estimated.

resultsSeventy percent (70%) of the Hispanic cohort was overweight (32%) or obese (38%). Forty-one percent (n = 138) of overweight participants and 19% (n = 74) of obese participants met criteria for MH. Adjusted analyses showed the MH phenotype was associated with lower visceral adipose tissue (VAT) and higher liver density (indicating lower fat content) in obese participants (p = 0.0005 and p = 0.0002, respectively), and lower VAT but not liver density in overweight participants (p = 0.008 and p = 0.162, respectively) compared to their MA counterparts. Odds of NAFLD were reduced in MH obese (OR = 0.34, p = 0.0007) compared to MA obese. VAT did not differ between MH obese or overweight and normal weight groups.

conclusionsThese findings suggest that lower levels of visceral and liver fat, despite overall increased total body fat, may be a defining feature of MH obesity in Hispanic Americans.

Indexed as

HealthHispanic or LatinoAbdominal FatAdultBody Fat DistributionCardiovascular DiseasesCohort StudiesFemaleHumansMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseObesityOverweightPhenotypePrevalence

Identifiers

PMID23418072
PMCPMC3661693
OpenAlexW1567883069

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.