Cargando…

Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus

BACKGROUND: Indices, based on anthropometrics with or without non‐anthropometric components, are predictive of cardio‐metabolic outcomes. Fat mass index (FMI) is similar to BMI except measured fat mass replaces body weight. The visceral adiposity index (VAI) combines anthropometric measures with lip...

Descripción completa

Detalles Bibliográficos
Autores principales: Bagheri, Amir, Khosravy, Tina, Moradinazar, Mehdi, Nachvak, Seyed Mostafa, Pasdar, Yahya, Soleimani, Davood, Samadi, Mehnoosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361442/
https://www.ncbi.nlm.nih.gov/pubmed/35959273
http://dx.doi.org/10.1002/fsn3.2874
_version_ 1784764532507279360
author Bagheri, Amir
Khosravy, Tina
Moradinazar, Mehdi
Nachvak, Seyed Mostafa
Pasdar, Yahya
Soleimani, Davood
Samadi, Mehnoosh
author_facet Bagheri, Amir
Khosravy, Tina
Moradinazar, Mehdi
Nachvak, Seyed Mostafa
Pasdar, Yahya
Soleimani, Davood
Samadi, Mehnoosh
author_sort Bagheri, Amir
collection PubMed
description BACKGROUND: Indices, based on anthropometrics with or without non‐anthropometric components, are predictive of cardio‐metabolic outcomes. Fat mass index (FMI) is similar to BMI except measured fat mass replaces body weight. The visceral adiposity index (VAI) combines anthropometric measures with lipid measurements TG/HDL. The relationship of these indices to incident type 2 diabetes (T2DM) has not been established. Therefore, we have evaluated the predictive power and optimal cut‐off points of FMI, and VAI with T2DM in a cross‐sectional population study. METHODS: These population‐based cross‐sectional study comprised 8411 adults aged 35–65 years using data from the Ravansar Non‐Communicable Diseases (RaNCD) cohort. VAI and FMI were defined as previously published. Optimal cut‐off points for association with incident T2DM were determined from receiver‐operating curves (ROC). RESULTS: The optimal cut‐off point for VAI was 4.86 (AUC: 0.673; 95% CI: 0.65–0.69) and FMI 9.3 (AUC: 0.57; 95% CI: 0.55–0.59), and for T2DM in our study population. The odds ratios (OR) for T2DM were nearly identical, for VAI 1.098 (95% CI: 1.08–1.11) and for FMI 1.08 (95% CI: 1.05–1.10). CONCLUSIONS: In the current population study, VAI and FMI were weakly associated with T2DM. Therefore, it seems that anthropometric measures are unlikely to be strong mediators of T2DM compared to historical and other factors in the population studied.
format Online
Article
Text
id pubmed-9361442
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-93614422022-08-10 Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus Bagheri, Amir Khosravy, Tina Moradinazar, Mehdi Nachvak, Seyed Mostafa Pasdar, Yahya Soleimani, Davood Samadi, Mehnoosh Food Sci Nutr Original Articles BACKGROUND: Indices, based on anthropometrics with or without non‐anthropometric components, are predictive of cardio‐metabolic outcomes. Fat mass index (FMI) is similar to BMI except measured fat mass replaces body weight. The visceral adiposity index (VAI) combines anthropometric measures with lipid measurements TG/HDL. The relationship of these indices to incident type 2 diabetes (T2DM) has not been established. Therefore, we have evaluated the predictive power and optimal cut‐off points of FMI, and VAI with T2DM in a cross‐sectional population study. METHODS: These population‐based cross‐sectional study comprised 8411 adults aged 35–65 years using data from the Ravansar Non‐Communicable Diseases (RaNCD) cohort. VAI and FMI were defined as previously published. Optimal cut‐off points for association with incident T2DM were determined from receiver‐operating curves (ROC). RESULTS: The optimal cut‐off point for VAI was 4.86 (AUC: 0.673; 95% CI: 0.65–0.69) and FMI 9.3 (AUC: 0.57; 95% CI: 0.55–0.59), and for T2DM in our study population. The odds ratios (OR) for T2DM were nearly identical, for VAI 1.098 (95% CI: 1.08–1.11) and for FMI 1.08 (95% CI: 1.05–1.10). CONCLUSIONS: In the current population study, VAI and FMI were weakly associated with T2DM. Therefore, it seems that anthropometric measures are unlikely to be strong mediators of T2DM compared to historical and other factors in the population studied. John Wiley and Sons Inc. 2022-04-18 /pmc/articles/PMC9361442/ /pubmed/35959273 http://dx.doi.org/10.1002/fsn3.2874 Text en © 2022 The Authors. Food Science & Nutrition published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Bagheri, Amir
Khosravy, Tina
Moradinazar, Mehdi
Nachvak, Seyed Mostafa
Pasdar, Yahya
Soleimani, Davood
Samadi, Mehnoosh
Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title_full Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title_fullStr Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title_full_unstemmed Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title_short Optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
title_sort optimal cut‐off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361442/
https://www.ncbi.nlm.nih.gov/pubmed/35959273
http://dx.doi.org/10.1002/fsn3.2874
work_keys_str_mv AT bagheriamir optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT khosravytina optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT moradinazarmehdi optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT nachvakseyedmostafa optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT pasdaryahya optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT soleimanidavood optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus
AT samadimehnoosh optimalcutoffpointsoffatmassindexandvisceraladiposityindexassociatedwithtype2diabetesmellitus