Evidence map›Paper›PMID 31344803›Full record

ArticleNutrients2019

Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?

Robinson Ramírez-Vélez, Miguel Ángel Pérez-Sousa, Mikel Izquierdo, Carlos A Cano-Gutierrez, Emilio González-Jiménez, Jacqueline Schmidt-RioValle, Katherine González-Ruíz, María Correa-Rodríguez

Erratum issuedOpen access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Robinson Ramírez-VélezDepartment of Health Sciences, Public University of Navarra, Navarrabiomed-Biomedical Research Centre, IDISNA-Navarra's Health Research Institute, C/irunlarrea 3, Complejo Hospitalario de Navarra, 31008 Pamplona, Navarra, Spain. robin640@hotmail.com.ORCID 0000-0003-3075-6960
Miguel Ángel Pérez-SousaFaculty of Sport Sciences, University of Huelva, Avenida de las Fuerzas Armadas s/n, 21007 Huelva, Spain.ORCID 0000-0003-4392-6850
Mikel IzquierdoDepartment of Health Sciences, Public University of Navarra, Navarrabiomed-Biomedical Research Centre, IDISNA-Navarra's Health Research Institute, C/irunlarrea 3, Complejo Hospitalario de Navarra, 31008 Pamplona, Navarra, Spain.ORCID 0000-0002-1506-4272
Carlos A Cano-GutierrezHospital Universitario San Ignacio - Aging Institute, Pontificia Universidad Javeriana, Bogotá 110111, Colombia.ORCID 0000-0001-5680-7880
Emilio González-JiménezDepartment of Nursing, Faculty of Health Sciences, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain.ORCID 0000-0001-5103-6028
Jacqueline Schmidt-RioValleDepartment of Nursing, Faculty of Health Sciences, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain.ORCID 0000-0003-2775-0058
Katherine González-RuízGrupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Facultad de Salud, Universidad Manuela Beltrán, Bogotá 110231, DC, Colombia.
María Correa-RodríguezDepartment of Nursing, Faculty of Health Sciences, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain.ORCID 0000-0001-9165-4349
Universidad de Granada · ESComplejo Hospitalario de Navarra · ESInstituto de Salud Carlos III · ESPontificia Universidad Javeriana · COUniversidad de Huelva · ESUniversidad Manuela Beltrán · CO

Funding

Departamento Administrativo de Ciencia, Tecnología e Innovación ID 2013, no. 764
6 · The paper itself

Abstract

The present study evaluated the ability of five obesity-related parameters, including a body shape index (ABSI), conicity index (CI), body roundness index (BRI), body mass index (BMI), and waist-to-height ratio (WtHR) for predicting increased cardiometabolic risk in a population of elderly Colombians. A cross-sectional study was conducted on 1502 participants (60.3% women, mean age 70 ± 7.6 years) and subjects' weight, height, waist circumference, serum lipid indices, blood pressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) was calculated using the participants' systolic and diastolic blood pressure, triglycerides, high-density lipoprotein and fasting glucose levels, and waist circumference. Following the International Diabetes Federation definition, metabolic syndrome was defined as having three or more metabolic abnormalities. All surrogate anthropometric indices correlated significantly with CMRI (

Indexed as

AnthropometryAgedAge FactorsBody Mass IndexColombiaCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityPredictive Value of TestsPrevalenceReproducibility of ResultsRisk Assessmentanthropometric indicescardiometabolic riskdiagnosis criteriaelderlymetabolic syndrome

Identifiers

PMID31344803
PMCPMC6723899
OpenAlexW2963430434

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.