Cargando…

A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults

The study aimed to identify accurate cut-off points for waist circumference (WC), body fat percentage (BF%), body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI), and to determine their effective accuracy to predict cardiovascular risk factors (CVRFs) among Mexican young adult...

Descripción completa

Detalles Bibliográficos
Autores principales: Salinas-Mandujano, Rocío Guadalupe, Reynoso-Camacho, Rosalía, Salgado, Luis Miguel, Ramos-Gomez, Minerva, Pérez-Ramírez, Iza F., Aguilar-Galarza, Adriana, Moreno-Celis, Ulisses, Anaya-Loyola, Miriam Aracely
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606082/
https://www.ncbi.nlm.nih.gov/pubmed/37887147
http://dx.doi.org/10.3390/ejihpe13100146
_version_ 1785127230115938304
author Salinas-Mandujano, Rocío Guadalupe
Reynoso-Camacho, Rosalía
Salgado, Luis Miguel
Ramos-Gomez, Minerva
Pérez-Ramírez, Iza F.
Aguilar-Galarza, Adriana
Moreno-Celis, Ulisses
Anaya-Loyola, Miriam Aracely
author_facet Salinas-Mandujano, Rocío Guadalupe
Reynoso-Camacho, Rosalía
Salgado, Luis Miguel
Ramos-Gomez, Minerva
Pérez-Ramírez, Iza F.
Aguilar-Galarza, Adriana
Moreno-Celis, Ulisses
Anaya-Loyola, Miriam Aracely
author_sort Salinas-Mandujano, Rocío Guadalupe
collection PubMed
description The study aimed to identify accurate cut-off points for waist circumference (WC), body fat percentage (BF%), body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI), and to determine their effective accuracy to predict cardiovascular risk factors (CVRFs) among Mexican young adults. A cross-sectional study was conducted among 1730 Mexican young adults. Adiposity measures and CVRFs were assessed under fasting conditions. The optimal cut-off points were assessed using the receiver operating characteristic curve (ROC). Age-adjusted odds ratios (OR) were used to assess the associations between anthropometric measurements and CVRFs. The cut-off values found, in females and males, respectively, for high WC (≥72.3 and ≥84.9), high BF% (≥30 and ≥22.6), high BMI (≥23.7 and ≥24.4), high FMI (≥7.1 and ≥5.5), and low FFMI (≤16 and ≤18.9) differ from those set by current guidelines. High BMI in women, and high FMI in men, assessed by the 50th percentile, had the best discriminatory power in detecting CVRFs, especially high triglycerides (OR: 3.07, CI: 2.21–4.27 and OR: 3.05, CI: 2.28–4.08, respectively). Therefore, these results suggest that BMI and FMI measures should be used to improve the screening of CVRFs in Mexican young adults.
format Online
Article
Text
id pubmed-10606082
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-106060822023-10-28 A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults Salinas-Mandujano, Rocío Guadalupe Reynoso-Camacho, Rosalía Salgado, Luis Miguel Ramos-Gomez, Minerva Pérez-Ramírez, Iza F. Aguilar-Galarza, Adriana Moreno-Celis, Ulisses Anaya-Loyola, Miriam Aracely Eur J Investig Health Psychol Educ Article The study aimed to identify accurate cut-off points for waist circumference (WC), body fat percentage (BF%), body mass index (BMI), fat mass index (FMI), and fat-free mass index (FFMI), and to determine their effective accuracy to predict cardiovascular risk factors (CVRFs) among Mexican young adults. A cross-sectional study was conducted among 1730 Mexican young adults. Adiposity measures and CVRFs were assessed under fasting conditions. The optimal cut-off points were assessed using the receiver operating characteristic curve (ROC). Age-adjusted odds ratios (OR) were used to assess the associations between anthropometric measurements and CVRFs. The cut-off values found, in females and males, respectively, for high WC (≥72.3 and ≥84.9), high BF% (≥30 and ≥22.6), high BMI (≥23.7 and ≥24.4), high FMI (≥7.1 and ≥5.5), and low FFMI (≤16 and ≤18.9) differ from those set by current guidelines. High BMI in women, and high FMI in men, assessed by the 50th percentile, had the best discriminatory power in detecting CVRFs, especially high triglycerides (OR: 3.07, CI: 2.21–4.27 and OR: 3.05, CI: 2.28–4.08, respectively). Therefore, these results suggest that BMI and FMI measures should be used to improve the screening of CVRFs in Mexican young adults. MDPI 2023-09-27 /pmc/articles/PMC10606082/ /pubmed/37887147 http://dx.doi.org/10.3390/ejihpe13100146 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Salinas-Mandujano, Rocío Guadalupe
Reynoso-Camacho, Rosalía
Salgado, Luis Miguel
Ramos-Gomez, Minerva
Pérez-Ramírez, Iza F.
Aguilar-Galarza, Adriana
Moreno-Celis, Ulisses
Anaya-Loyola, Miriam Aracely
A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title_full A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title_fullStr A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title_full_unstemmed A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title_short A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults
title_sort new approach using bmi and fmi as predictors of cardio-vascular risk factors among mexican young adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606082/
https://www.ncbi.nlm.nih.gov/pubmed/37887147
http://dx.doi.org/10.3390/ejihpe13100146
work_keys_str_mv AT salinasmandujanorocioguadalupe anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT reynosocamachorosalia anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT salgadoluismiguel anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT ramosgomezminerva anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT perezramirezizaf anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT aguilargalarzaadriana anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT morenocelisulisses anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT anayaloyolamiriamaracely anewapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT salinasmandujanorocioguadalupe newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT reynosocamachorosalia newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT salgadoluismiguel newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT ramosgomezminerva newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT perezramirezizaf newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT aguilargalarzaadriana newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT morenocelisulisses newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults
AT anayaloyolamiriamaracely newapproachusingbmiandfmiaspredictorsofcardiovascularriskfactorsamongmexicanyoungadults