Evidence map›Paper›PMID 29948218›Full record

ArticleEuropean journal of nutrition2019

Net contribution and predictive ability of the CUN-BAE body fatness index in relation to cardiometabolic conditions.

Veronica Davila-Batista, Antonio J Molina, Laura Vilorio-Marqués, Leila Lujan-Barroso, Fernanda de Souza-Teixeira, Rocío Olmedo-Requena, Jorge Arias de la Torre, Lidia García-Martínez, Laura Álvarez-Álvarez, Heinz Freisling and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

16 citing papers in PubMed, 20 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

13 authors at 10 institutions in 4 countries.

Veronica Davila-BatistaThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain. vdavb@unileon.es.ORCID http://orcid.org/0000-0001-8888-395X
Antonio J MolinaThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain.
Laura Vilorio-MarquésThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain.
Leila Lujan-BarrosoUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
Fernanda de Souza-TeixeiraExercise and Neuromuscular System Research Group, Superior School of Physical Education, Federal University of Pelotas, Pelotas, Brazil.
Rocío Olmedo-RequenaCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Jorge Arias de la TorreCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Lidia García-MartínezThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain.
Laura Álvarez-ÁlvarezThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain.
Heinz FreislingSection of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France.
Javier LlorcaCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Miguel Delgado-RodríguezCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Vicente MartinThe Research Group in Gene-Environment and Health Interactions (GIIGAS), University of León, León, Spain.
Universidad de León · ESAgència de Qualitat i Avaluació Sanitàries de Catalunya · ESCentre international de recherche sur le cancer · FRCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESComplejo Hospitalario Universitario de Granada · ESInstitut d'Investigació Biomédica de Bellvitge · ESUniversidad de Cantabria · ESUniversidad de Jaén · ESUniversidad de León · MXUniversidade Federal de Pelotas · BR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe CUN-BAE (Clínica Universidad de Navarra-Body adiposity estimator) index is an anthropometric index based on age, sex and body mass index (BMI) for a refined prediction of body fatness in adults. CUN-BAE may help detect metabolically unhealthy individuals with otherwise normal weight according to BMI or waist circumference (WC). The aim of this study was to evaluate whether CUN-BAE, independent of its components (BMI, age and sex), was associated with cardiometabolic conditions including arterial hypertension, diabetes mellitus and metabolic syndrome (MetS).

methodsThe ENRICA study was based on a cross-sectional sample of non-institutionalized men and women representative of the adult Spanish population. Body weight, height, and WC were measured in all participants. The residual of CUN-BAE (rCUN-BAE), i.e. the part of the index not explained by its components, was calculated. The associations of CUN-BAE, rCUN-BAE, BMI and WC with hypertension, diabetes and MetS were analysed by multivariate logistic regression, and the Akaike information criterion (AIC) was calculated.

resultsThe sample included 12,122 individuals. rCUN-BAE was associated with hypertension (OR 1.14, 95% CI 1.07-1.21) and MetS (OR 1.48, 1.37-1.60), but not with diabetes (OR 1.05, 0.94-1.16). In subjects with a BMI < 25 kg/m

conclusionsThe CUN-BAE index for body fatness was positively associated with hypertension, diabetes and MetS in adults independent of BMI or WC. CUN-BAE may help to identify individuals with cardiometabolic conditions beyond BMI, but this needs to be confirmed in prospective settings.

Indexed as

Adipose TissueBody Mass IndexAdolescentAdultAgedAged, 80 and overAge FactorsCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionMaleMetabolic SyndromeMiddle AgedRisk FactorsBMIBody fatnessCUN-BAEDiabetesHypertensionMetabolic syndrome

Identifiers

PMID29948218
PMCPMC6647072
OpenAlexW2807739754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.