Evidence map›Paper›PMID 23734182›Full record

ArticlePloS one2013

Body adiposity index and cardiovascular health risk factors in Caucasians: a comparison with the body mass index and others.

Miquel Bennasar-Veny, Angel A Lopez-Gonzalez, Pedro Tauler, Mey L Cespedes, Teofila Vicente-Herrero, Aina Yañez, Matias Tomas-Salva, Antoni Aguilo

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
15.0field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.

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  11. Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023
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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 3 institutions in 1 country.

Miquel Bennasar-VenyResearch Group on Evidence, Lifestyles and Health, Universitat Illes Balears, Palma, Spain. miquel.bennasar@uib.es
Angel A Lopez-Gonzalez
Pedro Tauler
Mey L Cespedes
Teofila Vicente-Herrero
Aina Yañez
Matias Tomas-Salva
Antoni Aguilo
Universitat de les Illes Balears · ESHealth Research Institute of the Balearic Islands · ESFundació Universitat-Empresa de les Illes Balears · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have shown a relation between the adipose tissue accumulation and a higher risk for developing metabolic and cardiovascular diseases. Thus, body fat content and, mainly, the fat distribution or adiposity could be considered as important indicators of health risk. In spite of presenting several limitations, BMI is the most widely used and accepted index for classifying overweight and obesity. The aim of the study was to evaluate the correlations between Body Adiposity Index (BAI), BMI and other adiposity indexes such as WC, WHR and WHtR with cardiovascular and metabolic risk factors. Furthermore, the behavior of BAI and BMI regarding the ability to discriminate overweight or obese individuals was also analyzed. RESEARCH METHODOLOGY/PRINCIPAL

findingsA cross-sectional study was conducted in Spanish Caucasian adult workers. Participants in the study (29.214 men and 21.040 women, aged 20-68 years) were systematically selected during their work health periodic examinations. BAI, BMI, WHR, WHtR, body weight, hip and waist circumference (WC) as well as systolic and diastolic blood pressure were measured. Serum levels of high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG) and glucose were also determined. Results of the study indicated that BAI was less correlated with cardiovascular risk factors and metabolic risk factors than other adiposity indexes (BMI, WC and WHtR). The best correlations were found for WHtR. In addition, the BAI presented lower discriminatory capacity than BMI for diagnosing metabolic syndrome (MS) using both IDF and ATP III criteria. A different behavior of the BAI in men and women when considering the ability to discriminate overweight or obese individuals was also observed.

conclusionsThe adiposity indexes that include the waist circumference (WHtR and WC) may be better candidates than BAI and BMI to evaluate metabolic and cardiovascular risk in both clinical practice and research.

Indexed as

Body Mass IndexAdiposityAdultAgedBlood GlucoseBlood PressureCardiovascular DiseasesCholesterol, HDLCholesterol, LDLCross-Sectional StudiesFemaleHumansMalePrevalenceRisk AssessmentRisk FactorsBlood GlucoseCholesterol, HDLCholesterol, LDLTriglycerides

Identifiers

PMID23734182
PMCPMC3667028
OpenAlexW1990774765

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.