Evidence map›Paper›PMID 37793678›Full record

ArticleBMJ open diabetes research & care2023

Anthropometric and DXA-derived measures of body composition in relation to pre-diabetes among adults.

Anwar Mohammad, Ali H Ziyab, Talal Mohammad

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2023. 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 16% 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, 9 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait anwar.mohammad@dasmaninstitute.org.ORCID 0000-0001-6318-8707
Ali H ZiyabDepartment of Community Medicine and Behavioral Sciences, College of Medicine, Kuwait University, Kuwait City, Kuwait.ORCID 0000-0003-3099-4424
Talal MohammadSt Antony's College, Oxford University, Oxford, UK.
Dasman Diabetes Institute · KWKuwait University · KWUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAbdominal obesity is the most common risk factor of pre-diabetes and diabetes. Currently, several types of indices are used for the determination of visceral fat-related abdominal obesity. To better understand the effect of the different adiposity indices, we sought to evaluate the association of different adiposity measurements, assessed using dual-energy X-ray absorptiometry (DXA), and pre-diabetes. RESEARCH DESIGN AND

methodsThis cross-sectional study included 1184 adults between 18 and 65 years who participated in the Kuwait Wellbeing Study. Anthropometry measurements included body mass index (BMI) and waist-to-hip ratio. Total body fat (TBF) mass, android fat mass, gynoid fat, and visceral adipose tissue (VAT) mass were measured using the Lunar iDXA. Pre-diabetes was defined as 5.7≤HbA1c%≤6.4. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated. Area under the curve (AUC) was estimated for each adiposity measurement as predictor of pre-diabetes.

resultsA total of 585 (49.4%) males and 599 (50.6%) females were enrolled in the study. Increased BMI (aPR

conclusionsPre-diabetes prevalence increased as adiposity measurements increased, with VAT mass demonstrating the highest AUC for pre-diabetes.

Indexed as

Obesity, AbdominalPrediabetic StateAbsorptiometry, PhotonAnthropometryBody CompositionCross-Sectional StudiesFemaleHumansMaleObesityAdiposityDiabetes Mellitus, Type 2EpidemiologyFat

Identifiers

PMID37793678
PMCPMC10551999
OpenAlexW4387337625

What OpenQuestion holds

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LicenceCC BY-NC
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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.