Evidence map›Paper›PMID 27106521›Full record

ArticleJournal of diabetes2017

Anthropometric discriminators of type 2 diabetes among White and Black American adults.

Dale S Hardy, Devita T Stallings, Jane T Garvin, Francine C Gachupin, Hongyan Xu, Susan B Racette

Open access · hybridAbstract read
In one paragraph

Article in Journal of diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  8. Abnormal Glucose Metabolism and Associated Risk Factors Among Adults in Mekelle City, Ethiopia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020
    Article
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  10. 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
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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 at 5 institutions in 1 country.

Dale S HardyInstitute of Public and Preventive Health, Augusta University, Augusta, Georgia.
Devita T StallingsSchool of Nursing, Saint Louis University, Tucson, Arizona, USA.
Jane T GarvinCollege of Nursing, Augusta University, Augusta, Georgia.
Francine C GachupinDepartment of Family and Community Medicine, College of Medicine, University of Arizona, USA.
Hongyan XuDepartment of Biostatistics and Epidemiology, Augusta University, Augusta, Georgia.
Susan B RacetteProgram in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, Tucson, Arizona, USA.
Augusta University Health · USAugusta University · USSaint Louis University · USUniversity of Arizona · USWashington University in St. Louis · US

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Searching for missing heritability for cardiometabolic outcomes by raceK01HL127278 · NHLBI · MOREHOUSE SCHOOL OF MEDICINE · PI HARDY, DALE SHARON · 2016 to 2021
$713k
NHLBI NIH HHS K01 HL127278NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

backgroundThe aim of the present study was to determine the best anthropometric discriminators of type 2 diabetes mellitus (T2DM) among White and Black males and females in a large US sample.

methodsWe used Atherosclerosis Risk in Communities study baseline data (1987-89) from 15 242 participants (1827 with T2DM) aged 45-65 years. Anthropometric measures included a body shape index (ABSI), body adiposity index (BAI), body mass index, waist circumference (WC), waist:  height ratio (WHtR), and waist:  hip ratio (WHR). All anthropometric measures were standardized to Z-scores. Using logistic regression, odds ratios for T2DM were adjusted for age, physical activity, and family history of T2DM. The Akaike information criterion and receiver operating characteristic C-statistic were used to select the best-fit models.

resultsBody mass index, WC, WHtR, and WHR were comparable discriminators of T2DM among White and Black males, and were superior to ABSI and BAI in predicting T2DM (P < 0.0001). Waist circumference, WHtR, and WHR were the best discriminators among White females, whereas WHR was the best discriminator among Black females. The ABSI was the poorest discriminator of T2DM for all race-gender groups except Black females. Anthropometric values distinguishing T2DM cases from non-cases were lower for Black than White adults.

conclusionsAnthropometric measures that included WC, either alone or relative to height (WHtR) or hip circumference (WHR), were the strongest discriminators of T2DM across race-gender groups. Body mass index was a comparable discriminator to WC, WHtR, and WHR among males, but not females.

Indexed as

Black or African AmericanWhite PeopleAnthropometryBody Mass IndexDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedMultivariate AnalysisUnited StatesWaist CircumferenceWaist-Height RatioWaist-Hip Ratiogenderobesityracetype 2 diabetes性别,肥胖,种族,2型糖尿病

Identifiers

PMID27106521
PMCPMC5079832
OpenAlexW2336175383

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.