Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes
Abstract Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received f...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/9502374bd1004f9094bfba603bea9545 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:9502374bd1004f9094bfba603bea9545 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:9502374bd1004f9094bfba603bea95452021-11-14T12:39:44ZTriglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes10.1186/s12944-021-01594-71476-511Xhttps://doaj.org/article/9502374bd1004f9094bfba603bea95452021-11-01T00:00:00Zhttps://doi.org/10.1186/s12944-021-01594-7https://doaj.org/toc/1476-511XAbstract Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received follow-up. The main outcome event of concern was pre-diabetes defined according to the diagnostic criteria recommended by the American Diabetes Association (ADA) in 2018 and the World Health Organization (WHO) in 1999. A Cox proportional hazard regression model was used to evaluate the role of TyG-BMI in identifying people at high risk of pre-diabetes. Results At a mean observation period of 3.1 years, the incidence of pre-diabetes in the cohort was 3.70 and 12.31% according to the WHO and ADA diagnostic criteria for pre-diabetes, respectively. The multivariate Cox regression analysis demonstrated that TyG-BMI was independently positively correlated with pre-diabetes, and there was a special population dependence phenomenon. Among them, non-obese people, women and people under 50 years old had a significantly higher risk of TyG-BMI-related pre-diabetes (P-interaction< 0.05). Conclusions These findings suggest that a higher TyG-BMI significantly increases an individual’s risk of pre-diabetes, and this risk is significantly higher in women, non-obese individuals, and individuals younger than 50 years of age.Chunyuan JiangRuijuan YangMaobin KuangMeng YuMingchun ZhongYang ZouBMCarticlePre-diabetesTyG-BMIWorld Health OrganizationTriglyceride glucose-body mass indexAmerican Diabetes AssociationNutritional diseases. Deficiency diseasesRC620-627ENLipids in Health and Disease, Vol 20, Iss 1, Pp 1-12 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Pre-diabetes TyG-BMI World Health Organization Triglyceride glucose-body mass index American Diabetes Association Nutritional diseases. Deficiency diseases RC620-627 |
spellingShingle |
Pre-diabetes TyG-BMI World Health Organization Triglyceride glucose-body mass index American Diabetes Association Nutritional diseases. Deficiency diseases RC620-627 Chunyuan Jiang Ruijuan Yang Maobin Kuang Meng Yu Mingchun Zhong Yang Zou Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
description |
Abstract Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received follow-up. The main outcome event of concern was pre-diabetes defined according to the diagnostic criteria recommended by the American Diabetes Association (ADA) in 2018 and the World Health Organization (WHO) in 1999. A Cox proportional hazard regression model was used to evaluate the role of TyG-BMI in identifying people at high risk of pre-diabetes. Results At a mean observation period of 3.1 years, the incidence of pre-diabetes in the cohort was 3.70 and 12.31% according to the WHO and ADA diagnostic criteria for pre-diabetes, respectively. The multivariate Cox regression analysis demonstrated that TyG-BMI was independently positively correlated with pre-diabetes, and there was a special population dependence phenomenon. Among them, non-obese people, women and people under 50 years old had a significantly higher risk of TyG-BMI-related pre-diabetes (P-interaction< 0.05). Conclusions These findings suggest that a higher TyG-BMI significantly increases an individual’s risk of pre-diabetes, and this risk is significantly higher in women, non-obese individuals, and individuals younger than 50 years of age. |
format |
article |
author |
Chunyuan Jiang Ruijuan Yang Maobin Kuang Meng Yu Mingchun Zhong Yang Zou |
author_facet |
Chunyuan Jiang Ruijuan Yang Maobin Kuang Meng Yu Mingchun Zhong Yang Zou |
author_sort |
Chunyuan Jiang |
title |
Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
title_short |
Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
title_full |
Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
title_fullStr |
Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
title_full_unstemmed |
Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
title_sort |
triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes |
publisher |
BMC |
publishDate |
2021 |
url |
https://doaj.org/article/9502374bd1004f9094bfba603bea9545 |
work_keys_str_mv |
AT chunyuanjiang triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes AT ruijuanyang triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes AT maobinkuang triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes AT mengyu triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes AT mingchunzhong triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes AT yangzou triglycerideglucosebodymassindexinidentifyinghighriskgroupsofprediabetes |
_version_ |
1718429119169953792 |