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Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study

The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese...

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Autores principales: Cheng, Hui, Yu, Xiao, Li, Yu-Ting, Jia, Zhihui, Wang, Jia-Ji, Xie, Yao-Jie, Hernandez, Jose, Wang, Harry H. X., Wu, Hua-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859146/
https://www.ncbi.nlm.nih.gov/pubmed/36673809
http://dx.doi.org/10.3390/ijerph20021053
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author Cheng, Hui
Yu, Xiao
Li, Yu-Ting
Jia, Zhihui
Wang, Jia-Ji
Xie, Yao-Jie
Hernandez, Jose
Wang, Harry H. X.
Wu, Hua-Feng
author_facet Cheng, Hui
Yu, Xiao
Li, Yu-Ting
Jia, Zhihui
Wang, Jia-Ji
Xie, Yao-Jie
Hernandez, Jose
Wang, Harry H. X.
Wu, Hua-Feng
author_sort Cheng, Hui
collection PubMed
description The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data. In a total of 18,112 primary care service users, an increased METS-IR was independently associated with a higher prevalence of prediabetes (adjusted odds ratio [aOR] = 1.457, 95% confidence interval [CI]: 1.343 to 1.581, p < 0.001) and T2DM (aOR = 1.804, 95%CI: 1.720 to 1.891, p < 0.001), respectively. The aOR for prediabetes in subjects with the highest quartile of METS-IR was 3.060-fold higher than that in those with the lowest quartile of METS-IR. The aOR for T2DM in subjects with the highest quartile of METS-IR was 6.226-fold higher than that in those with the lowest quartile of METS-IR. Consistent results were obtained in subgroup analyses. Our results suggested that METS-IR was significantly associated with both prediabetes and T2DM. The monitoring of METS-IR may add value to early identification of individuals at risk for glucose metabolism disorders in primary care.
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spelling pubmed-98591462023-01-21 Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study Cheng, Hui Yu, Xiao Li, Yu-Ting Jia, Zhihui Wang, Jia-Ji Xie, Yao-Jie Hernandez, Jose Wang, Harry H. X. Wu, Hua-Feng Int J Environ Res Public Health Article The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data. In a total of 18,112 primary care service users, an increased METS-IR was independently associated with a higher prevalence of prediabetes (adjusted odds ratio [aOR] = 1.457, 95% confidence interval [CI]: 1.343 to 1.581, p < 0.001) and T2DM (aOR = 1.804, 95%CI: 1.720 to 1.891, p < 0.001), respectively. The aOR for prediabetes in subjects with the highest quartile of METS-IR was 3.060-fold higher than that in those with the lowest quartile of METS-IR. The aOR for T2DM in subjects with the highest quartile of METS-IR was 6.226-fold higher than that in those with the lowest quartile of METS-IR. Consistent results were obtained in subgroup analyses. Our results suggested that METS-IR was significantly associated with both prediabetes and T2DM. The monitoring of METS-IR may add value to early identification of individuals at risk for glucose metabolism disorders in primary care. MDPI 2023-01-06 /pmc/articles/PMC9859146/ /pubmed/36673809 http://dx.doi.org/10.3390/ijerph20021053 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
Cheng, Hui
Yu, Xiao
Li, Yu-Ting
Jia, Zhihui
Wang, Jia-Ji
Xie, Yao-Jie
Hernandez, Jose
Wang, Harry H. X.
Wu, Hua-Feng
Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title_full Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title_fullStr Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title_full_unstemmed Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title_short Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study
title_sort association between mets-ir and prediabetes or type 2 diabetes mellitus among elderly subjects in china: a large-scale population-based study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859146/
https://www.ncbi.nlm.nih.gov/pubmed/36673809
http://dx.doi.org/10.3390/ijerph20021053
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