Evidence map›Paper›PMID 29410278›Full record

ArticleMetabolism: clinical and experimental2018

Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes.

Matthew J Gurka, Stephanie L Filipp, Solomon K Musani, Mario Sims, Mark D DeBoer

Abstract readValidation Study
In one paragraph

Article in Metabolism: clinical and experimental, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

40 citing papers in PubMed, 63 citations in OpenAlex.

  1. Impact of Setmelanotide on Metabolic Syndrome Risk in Patients With Bardet-Biedl Syndrome.The Journal of clinical endocrinology and metabolism · 2025
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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

5 authors at 4 institutions in 1 country.

Matthew J GurkaDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida 32608, United States. Electronic address: matthewgurka@ufl.edu.
Stephanie L FilippDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida 32608, United States.
Solomon K MusaniDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, United States.
Mario SimsDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, United States.
Mark D DeBoerDepartment of Pediatrics, Division of Pediatric Endocrinology, PO Box 800386, University of Virginia, Charlottesville, Virginia 22908, United States.
University of Mississippi Medical Center · USFlorida College · USUniversity of Florida Health · USUniversity of Virginia · US

Funding

Socioeconomic Status and Subjective Social Status as Modifiers of Stressors and Discrimination in their Relationship with MetS Severity Over TimeR01HL120960 · NHLBI · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2014 to 2018
$2.1M
NHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS R01 HL120960
6 · The paper itself

Abstract

backgroundEstimates of adiposity in evaluating the metabolic syndrome (MetS) have traditionally utilized measures of waist circumference (WC), whereas body mass index (BMI) is more commonly used clinically. Our objective was to determine if a MetS severity Z-score employing BMI as its measure of adiposity (MetS-Z-BMI) would perform similarly to a WC-based score (MetS-Z-WC) in predicting future disease.

methodsTo formulate the MetS-Z-BMI, we performed confirmatory factor analysis on a sex- and race/ethnicity-specific basis on MetS-related data for 6870 adult participants of the National Health and Nutrition Survey 1999-2010. We then validated this score and compared it to MetS-Z-WC in assessing correlations with future coronary heart disease (CHD) and Type 2 diabetes mellitus (T2DM) using Cox proportional hazard analysis of 13,094 participants of the Atherosclerosis Risk in Communities study and Jackson Heart Study.

resultsLoading factors, which represent the relative contribution of each component to the latent MetS factor, were lower for BMI than for WC in formulating the two respective scores (MetS-Z-BMI and MetS-Z-WC). Nevertheless, MetS-Z-BMI and MetS-Z-WC exhibited similar hazard ratios (HR) toward future disease. For each one standard-deviation-unit increase in MetS-Z-BMI, HR for CHD was 1.76 (95% confidence interval [CI]: 1.65, 1.88) and HR for T2DM was 3.39 (CI 3.16, 3.63) (both p < 0.0001). There were no meaningful differences between the MetS-Z-WC and MetS-Z-BMI scores in their associations with future CHD and T2DM.

conclusionsA MetS severity Z-score utilizing BMI as its measure of adiposity operated similarly to a WC-based score in predicting future CHD and T2DM, suggesting overall similarity in MetS-based risk as estimated by both measures of adiposity. This indicates potential clinical usefulness of MetS-Z-BMI in assessing and following MetS-related risk over time.

Indexed as

BiomarkersBody Mass IndexAdiposityAdultCardiovascular DiseasesDisease ProgressionFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityPrognosisResearch DesignRisk FactorsSeverity of Illness IndexBiomarkersCardiovascular disease riskMetabolic syndromeObesityType 2 diabetes

Identifiers

PMID29410278
PMCPMC5960618
OpenAlexW2789338565

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.