Evidence map›Paper›PMID 31565431›Full record

ArticleJournal of obesity2019

Comparative Abilities of Body Mass Index, Waist Circumference, Abdominal Volume Index, Body Adiposity Index, and Conicity Index as Predictive Screening Tools for Metabolic Syndrome among Apparently Healthy Ghanaian Adults.

Lawrence Quaye, William Kwame Boakye Ansah Owiredu, Nafiu Amidu, Peter Paul Mwinsanga Dapare, Yussif Adams

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 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

5 authors at 2 institutions in 1 country.

Lawrence QuayeDepartment of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana.ORCID 0000-0003-2791-9159
William Kwame Boakye Ansah OwireduDepartment of Molecular Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0002-8920-1284
Nafiu AmiduDepartment of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana.
Peter Paul Mwinsanga DapareDepartment of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana.ORCID 0000-0002-1209-0221
Yussif AdamsDepartment of Biomedical Laboratory Science, University for Development Studies, Tamale, Ghana.ORCID 0000-0003-0840-255X
University for Development Studies · GHKwame Nkrumah University of Science and Technology · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of the metabolic syndrome (MetS) continues to increase. There is therefore the need for early detection to avert possible adverse outcomes. Several anthropometric methods have been suggested to predict MetS, but no consensus has been reached on which is best. The aim of the study was to explore the comparative abilities of conicity index, body adiposity index, abdominal volume index, body mass index, and waist circumference in predicting cardiometabolic risk among apparently healthy adults in the Tamale metropolis. This study was a cross sectional study conducted from September 2017 to January 2018, among one hundred sixty (160) apparently healthy normoglycemic normotensive adults. A self-designed questionnaire was administered to gather sociodemographic data. Anthropometric and haemodynamic measurements were also taken. Blood samples were collected for fasting blood glucose (FBG) and lipid profile. MetS was classified using the harmonised criteria as indicated by the joint interim statement (JIS). Of 160 participants, 42.5% were male and 57.5% were female. Body mass index (BMI) and waist circumference (WC) associated better with MetS and other cardiovascular risk factors. Generally, BMI and WC showed largest area under curves (AUCs) than abdominal volume index (AVI), body adiposity index (BAI), and conicity index (CI) in predicting MetS and its components. Upon gender stratification, AVI and CI had the larger AUCs in females whiles BMI remained the superior index in males. Whiles BMI and WC remained useful parameters, they were not useful in predicting MetS and its components in the female population in this study.

Indexed as

Healthy VolunteersAdiposityAdultAgedAged, 80 and overArea Under CurveBody Mass IndexCross-Sectional StudiesFemaleGhanaHumansMaleMetabolic SyndromeMiddle AgedRisk FactorsROC Curve

Identifiers

PMID31565431
PMCPMC6745169
OpenAlexW2970390873

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.