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Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study

BACKGROUND: Triglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association an...

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Autores principales: Wang, Xiaoyu, Liu, Jingdong, Cheng, Zongyou, Zhong, Yanjia, Chen, Xiaohua, Song, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420033/
https://www.ncbi.nlm.nih.gov/pubmed/34488806
http://dx.doi.org/10.1186/s12944-021-01532-7
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author Wang, Xiaoyu
Liu, Jingdong
Cheng, Zongyou
Zhong, Yanjia
Chen, Xiaohua
Song, Wei
author_facet Wang, Xiaoyu
Liu, Jingdong
Cheng, Zongyou
Zhong, Yanjia
Chen, Xiaohua
Song, Wei
author_sort Wang, Xiaoyu
collection PubMed
description BACKGROUND: Triglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association and predictive performance between TyG-BMI and diabetes. METHODS: A total of 116,661 subjects who underwent a physical examination were included in this study. The subjects were divided into five equal points according to the quintile of TyG-BMI, and the outcome of interest was the occurrence of diabetic events. TyG-BMI = ln [fasting plasma glucose (mg/dL) × fasting triglycerides (mg/dL)/2] × BMI. RESULTS: During the average follow-up period of 3.1 (0.95) years, 1888 men (1.61 %) and 793 women (0.68 %) were newly diagnosed with diabetes. Multivariate Cox regression analysis showed that TyG-BMI was an independent predictor of new-onset diabetes (HR 1.50 per SD increase, 95 %CI: 1.40 to 1.60, P-trend < 0.00001), and the best TyG-BMI cutoff value for predicting new-onset diabetes was 213.2966 (area under the curve 0.7741, sensitivity 72.51 %, specificity 69.54 %). Additionally, the results of subgroup analysis suggested that the risk of TyG-BMI-related diabetes in young and middle-aged people was significantly higher than that in middle-aged and elderly people, and the risk of TyG-BMI-related diabetes in non-obese people was significantly higher than that in overweight and obese people (P for interaction < 0.05). CONCLUSIONS: This cohort study of the Chinese population shows that after excluding other confounding factors, there is a causal association of TyG-BMI with diabetes, and this independent association is more obvious in young, middle-aged and non-obese people. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01532-7.
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spelling pubmed-84200332021-09-09 Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study Wang, Xiaoyu Liu, Jingdong Cheng, Zongyou Zhong, Yanjia Chen, Xiaohua Song, Wei Lipids Health Dis Research BACKGROUND: Triglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association and predictive performance between TyG-BMI and diabetes. METHODS: A total of 116,661 subjects who underwent a physical examination were included in this study. The subjects were divided into five equal points according to the quintile of TyG-BMI, and the outcome of interest was the occurrence of diabetic events. TyG-BMI = ln [fasting plasma glucose (mg/dL) × fasting triglycerides (mg/dL)/2] × BMI. RESULTS: During the average follow-up period of 3.1 (0.95) years, 1888 men (1.61 %) and 793 women (0.68 %) were newly diagnosed with diabetes. Multivariate Cox regression analysis showed that TyG-BMI was an independent predictor of new-onset diabetes (HR 1.50 per SD increase, 95 %CI: 1.40 to 1.60, P-trend < 0.00001), and the best TyG-BMI cutoff value for predicting new-onset diabetes was 213.2966 (area under the curve 0.7741, sensitivity 72.51 %, specificity 69.54 %). Additionally, the results of subgroup analysis suggested that the risk of TyG-BMI-related diabetes in young and middle-aged people was significantly higher than that in middle-aged and elderly people, and the risk of TyG-BMI-related diabetes in non-obese people was significantly higher than that in overweight and obese people (P for interaction < 0.05). CONCLUSIONS: This cohort study of the Chinese population shows that after excluding other confounding factors, there is a causal association of TyG-BMI with diabetes, and this independent association is more obvious in young, middle-aged and non-obese people. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-021-01532-7. BioMed Central 2021-09-06 /pmc/articles/PMC8420033/ /pubmed/34488806 http://dx.doi.org/10.1186/s12944-021-01532-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Xiaoyu
Liu, Jingdong
Cheng, Zongyou
Zhong, Yanjia
Chen, Xiaohua
Song, Wei
Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title_full Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title_fullStr Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title_full_unstemmed Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title_short Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
title_sort triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420033/
https://www.ncbi.nlm.nih.gov/pubmed/34488806
http://dx.doi.org/10.1186/s12944-021-01532-7
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