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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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 |
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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 |
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