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Association between triglyceride glucose‐body mass index and hypertension in Chinese adults: A cross‐sectional study

The triglyceride glucose‐body mass index (TyG‐BMI) has been considered an alternative marker of insulin resistance (IR). This cross‐sectional study was designed to mainly investigate the association between TyG‐BMI, triglyceride glucose combined with body mass index, and hypertension in Chinese adul...

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Detalles Bibliográficos
Autores principales: Deng, Danying, Chen, Chaolei, Wang, Jiabin, Luo, Songyuan, Feng, Yingqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085812/
https://www.ncbi.nlm.nih.gov/pubmed/36929716
http://dx.doi.org/10.1111/jch.14652
Descripción
Sumario:The triglyceride glucose‐body mass index (TyG‐BMI) has been considered an alternative marker of insulin resistance (IR). This cross‐sectional study was designed to mainly investigate the association between TyG‐BMI, triglyceride glucose combined with body mass index, and hypertension in Chinese adults. The relationship between TyG‐BMI and hypertension was examined by multivariate logistic regression and restricted cubic spline model. Multiple logistic regression models were also performed to examine the associations between the individual components of TyG‐BMI (BMI, TyG index, TG and FBG) and hypertension. The incremental ability of TyG‐BMI versus its individual components for hypertension discrimination was evaluated by C‐statistic and net reclassification index. Subgroup analysis was performed to examine potential interactions. A total of 92,545 participants (38.9% men, mean age 53.7 years) were included for final analysis. Logistic regression models showed TyG‐BMI and its individual components were all significantly associated with the odds of hypertension (p for trend < .001). The restricted cubic spline regression manifested a linear association between TyG‐BMI and hypertension (p for non‐linear = .062). The addition of TyG‐BMI, in comparison with each individual component, exhibited the maximum incremental value for the discrimination of hypertension on the basis of base model (C‐statistic: 0.679, 95% CI: 0.675‐0.683 for base model vs. 0.695, 95% CI: 0.691‐0.699 for base model + TyG‐BMI; net reclassification index: 0.226, 95% CI: 0.215‐0.234). TyG‐BMI was significantly associated with the odds of hypertension and can be a better discriminator of hypertension.