Evidence map›Paper›PMID 31689977›Full record

ArticleNutrients2019

Obesity- and Lipid-Related Parameters in the Identification of Older Adults with a High Risk of Prediabetes According to the American Diabetes Association: An Analysis of the 2015 Health, Well-Being, and Aging Study.

Robinson Ramírez-Vélez, Miguel Ángel Pérez-Sousa, Katherine González-Ruíz, Carlos A Cano-Gutierrez, Jacqueline Schmidt-RioValle, María Correa-Rodríguez, Mikel Izquierdo, Jesús Astolfo Romero-García, Adriana Yolanda Campos-Rodríguez, Héctor Reynaldo Triana-Reina and 1 more

Open access · goldAbstract read
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. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 3% 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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

11 authors at 6 institutions in 2 countries.

Robinson Ramírez-VélezDepartment of Health Sciences, Public University of Navarra, Navarrabiomed-Universidad Pública de Navarra (UPNA)-Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), 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. perezsousa@gmail.com.ORCID 0000-0003-4392-6850
Katherine González-RuízGrupo de Ejercicio Físico y Deportes, Vicerrectoría de Investigaciones, Universidad Manuela Beltrán, Bogotá, DC 110231, Colombia. katherine.gonzalez@docentes.umb.edu.co.
Carlos A Cano-GutierrezHospital Universitario San Ignacio-Aging Institute, Pontificia Universidad Javeriana, 110111 Bogotá, Colombia. ccano@javeriana.edu.co.ORCID 0000-0001-5680-7880
Jacqueline Schmidt-RioValleDepartment of Nursing, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain. jschmidt@ugr.es.ORCID 0000-0003-2775-0058
María Correa-RodríguezDepartment of Nursing, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain. macoro@ugr.es.ORCID 0000-0001-9165-4349
Mikel IzquierdoDepartment of Health Sciences, Public University of Navarra, Navarrabiomed-Universidad Pública de Navarra (UPNA)-Complejo Hospitalario de Navarra (CHN), Instituto de Investigación Sanitaria de Navarra (IdiSNA), 31008 Pamplona, Navarra, Spain. mikel.izquierdo@gmail.com.ORCID 0000-0002-1506-4272
Jesús Astolfo Romero-GarcíaGICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia. astolforomero@usantotomas.edu.co.
Adriana Yolanda Campos-RodríguezGICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia. adrianacampos@usantotomas.edu.co.
Héctor Reynaldo Triana-ReinaGICAEDS Group, Faculty of Physical Culture, Sport and Recreation, Universidad Santo Tomás, Bogotá 110311, Colombia. hectortriana@usantotomas.edu.co.ORCID 0000-0002-6334-7082
Emilio González-JiménezDepartment of Nursing, University of Granada, Av. Ilustración, 60, 18016 Granada, Spain. emigoji@ugr.es.ORCID 0000-0001-5103-6028
Universidad de Granada · ESUniversidad Santo Tomás · COUniversidad Publica de Navarra · 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

This study evaluated the predictive ability of 11 obesity- and lipid-related parameters, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body roundness index (BRI), "A" body-shape index (ABSI), conicity index (CI), visceral adiposity index (VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI (TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307 elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator, using the prediabetes classification to identify their sensitivity and specificity, and these indicated that the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes, and multivariate logistic regression analysis showed that the ORs for prediabetes increased across quartiles (

Indexed as

ObesityAgedDiabetes MellitusFemaleHumansLipid MetabolismLipidsMaleMiddle AgedPrediabetic StateRisk FactorsLipidsadiposityanthropometric measureelderlylipidsprediabetes

Identifiers

PMID31689977
PMCPMC6893527
OpenAlexW2989096061

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.