Evidence map›Paper›PMID 27737609›Full record

ArticleThe Physician and sportsmedicine2016

Metabolic characterization of overweight and obese adults.

Katie R Hirsch, Abbie E Smith-Ryan, Malia N M Blue, Meredith G Mock, Eric T Trexler, Kristin S Ondrak

Abstract read
In one paragraph

Article in The Physician and sportsmedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

6 authors.

Katie R Hirscha Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.
Abbie E Smith-Ryana Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.
Malia N M Bluea Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.
Meredith G Mocka Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.
Eric T Trexlera Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.
Kristin S Ondraka Applied Physiology Lab, Department of Exercise and Sport Science , University of North Carolina , Chapel Hill , NC , USA.

Funding

North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
NCATS NIH HHS KL2 TR001109
6 · The paper itself

Abstract

objectivesTraditional evaluations of metabolic health may overlook underlying dysfunction in individuals who show no signs of insulin resistance or dyslipidemia. The purpose of this study was to characterize metabolic health in overweight and obese adults using traditional and non-traditional cardiometabolic variables. A secondary purpose was to evaluate differences between overweight/obese and male/female cohorts, respectively.

methodsForty-nine overweight and obese adults (Mean ± SD; Age = 35.0 ± 8.9 yrs; Body mass index = 33.6 ± 5.2 kg·m

resultsThe prevalence of individuals with two or more cardiometabolic risk factors increased from 13%, using traditional risk factors (GLUC, TRG, HDL), to 80% when non-traditional metabolic factors (VAT, LM, RMR, RER, TC, LDL, HOMA-IR) were considered. Between overweight/obese, there were no significant differences in %fat (p = 0.152), VAT (p = 0.959), RER (p = 0.493), lipids/GLUC (p > 0.05), insulin (p = 0.143), leptin (p = 0.053), or cortisol (p = 0.063); obese had higher FM, LM, RMR, and estradiol (p < 0.01). Males had greater LM, RMR, and TRG (p < 0.01); females had greater %fat, and leptin (p < 0.001). There were no significant sex differences in RER, estradiol, insulin, or cortisol (p > 0.05).

conclusionsEvaluating metabolic health beyond BMI and traditional cardiometabolic risk factors can give significant insights into metabolic status. Due to high variability in metabolic health in overweight and obese adults and inherent sex differences, implementation of body composition and visceral fat measures in the clinical setting can improve early identification and approaches to disease prevention.

Indexed as

Body CompositionAdipose TissueAdultBlood GlucoseBody Mass IndexCalorimetry, IndirectCardiovascular DiseasesEstradiolFemaleHormonesHumansInsulinInsulin ResistanceIntra-Abdominal FatLeptinLipidsBlood GlucoseEstradiolHormonesInsulinLeptinLipidsBody compositionfuel utilizationhormonesresting metabolic ratesexvisceral adipose tissue

Identifiers

PMID27737609
PMCPMC5220642

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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.