Evidence map›Paper›PMID 26249167›Full record

ArticleCardiovascular diabetology2015

Sensitivity of various adiposity indices in identifying cardiometabolic diseases in Arab adults.

Nasser M Al-Daghri, Omar S Al-Attas, Kaiser Wani, Abdullah M Alnaami, Shaun Sabico, Abdulrahman Al-Ajlan, George P Chrousos, Majed S Alokail

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 50 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

8 authors at 1 institution in 1 country.

Nasser M Al-DaghriBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. aldaghri2011@gmail.com.
Omar S Al-AttasBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. omrattas@ksu.edu.sa.
Kaiser WaniBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. wani.kaiser@gmail.com.
Abdullah M AlnaamiBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. aalnaami@yahoo.com.
Shaun SabicoBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. ssabico@ksu.edu.sa.
Abdulrahman Al-AjlanDepartment of Clinical Lab Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. aalajl@hotmail.com.
George P ChrousosBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. chrousos@gmail.com.
Majed S AlokailBiomarkers Research Program, Biochemistry Department, College of Science, King Saud University, Riyadh, 11451, Kingdom of Saudi Arabia. msa85@yahoo.co.uk.
King Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a recognized risk factor for various cardiometabolic diseases and several indices are used clinically to assess overall cardiometabolic risk. This study aims to determine the sensitivity of six anthropometric indices [Body mass index (BMI), waist, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body adiposity index (BAI) and visceral adiposity index (VAI)] in determining diabetes mellitus type 2, coronary heart disease, dyslipidemia, hypertension and metabolic syndrome (MetS) in Saudi adults recruited from two independent cohorts (2008-2009 and 2013-2014).

methodsA total of 6,821 Saudi adults [2008-2009, N = 3,971 (1,698 males and 2,273 females); 2013-2014, N = 2,850 (926 males and 1,924 females)] aged 18-70 years old were included in this descriptive, cross-sectional study. Anthropometrics were obtained and fasting blood samples analyzed for glucose and lipids. BMI, WHR, WHtR, BAI and VAI were computed mathematically.

resultsVAI was the most sensitive index in determining DMT2 (AUC 0.72; p < 0.001) in the 2008-2009 cohort and MetS (AUC = 0.84; p < 0.001) in the 2013-2014 cohort. WHR was most discriminating for CHD in both cohorts (AUC 0.70 and 0.84 for 2008-2009 and 2013-2014, p values <0.001, respectively). WHtR was most sensitive but rather modest in determining hypertension (AUC 0.66; p < 0.001), while waist circumference was most sensitive for dyslipidemia (AUC 0.72; p < 0.001) in the 2008-2009 cohort and MetS (AUC 0.85; p < 0.001) in the 2013-2014 cohort. BAI was the least sensitive adiposity index.

conclusionSensitivity of adiposity indices regarding cardiometabolic diseases highlight the importance of body fat distribution in determining overall cardiometabolic risk, with indices involving abdominal obesity being more clinically significant than BMI and BAI. The sensitivity of these adiposity indices should be noted in assessing a particular cardiometabolic disease.

Indexed as

ArabsAdiposityAdolescentAdultAgedBiomarkersBlood GlucoseBody Mass IndexCoronary DiseaseCross-Sectional StudiesDiabetes Mellitus, Type 2DyslipidemiasFemaleHumansHypertensionIntra-Abdominal FatBiomarkersBlood GlucoseLipids

Identifiers

PMID26249167
PMCPMC4566864
OpenAlexW1943110793

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.