代谢状态与高血压:胰岛素抵抗相关指标对血压调节和高血压风险的影响

IF 6.8 4区 医学 Q1 NUTRITION & DIETETICS
Xinying Hu, Peng Han, Yong Liu
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引用次数: 0

摘要

背景:糖尿病与高血压密切相关,胰岛素抵抗相关指标是评估糖尿病和心血管疾病风险的新指标。本研究旨在探讨TyG指数、met - ir、TG/HDL-C、HOMA-IR与高血压的关系。方法:利用1998年至2018年NHANES连续10个调查周期的数据,重点研究具有完整血压数据和综合信息的成年人,用于计算TyG指数、METS-IR、TG/HDL-C和HOMA-IR。采用多变量logistic回归模型检验胰岛素抵抗指标与高血压及血压水平的关系,并进行亚组分析,探讨可能的影响因素。RCS曲线用于描述线性和非线性关系。结果:这项基于nhanes的研究包括16062名成年人。不考虑协变量的调整,TyG指数、met - ir、TG/HDL-C、HOMA-IR与高血压风险之间存在显著关联。ROC曲线显示TyG指数、METS-IR、TG/HDL-C和HOMA-IR预测高血压风险的稳定性。RCS曲线显示TyG指数、met - ir与高血压呈线性关系,而TG/HDL-C和HOMA-IR与高血压呈非线性关系。亚组分析表明,吸烟和糖尿病可能影响胰岛素抵抗相关指标与高血压的关系。结论:胰岛素抵抗指标TyG指数、met - ir、TG/HDL-C、HOMA-IR水平升高与高血压发病密切相关。这些指标可作为临床监测高血压危险的有效指标。然而,需要更大规模的前瞻性队列研究来验证这些发现,并进一步探索TyG指数、METS-IR、TG/HDL-C和HOMA-IR作为心血管风险评估工具的临床应用潜力。这些研究将有助于阐明这些胰岛素抵抗相关指标与高血压之间的具体因果关系,并促进其在临床中的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic Status and Hypertension: The Impact of Insulin Resistance-Related Indices on Blood Pressure Regulation and Hypertension Risk.

Background: Diabetes is closely related to hypertension, and insulin resistance-related indices are novel metrics used to evaluate the risk of diabetes and cardiovascular diseases. This study aims to explore the relationships between the TyG index, METS-IR, TG/HDL-C, and HOMA-IR with hypertension.

Methods: Data from the NHANES spanning ten consecutive survey cycles from 1998 to 2018 were utilized, focusing on adults with complete blood pressure data and comprehensive information for calculating the TyG index, METS-IR, TG/HDL-C, and HOMA-IR. A multivariable logistic regression model was employed to examine the relationship between insulin resistance indices and hypertension as well as blood pressure levels, while subgroup analyses were conducted to explore potential influencing factors. RCS curves were used to describe both linear and non-linear relationships.

Results: This NHANES-based study included 16,062 adults. Regardless of the adjustment for covariates, significant associations were found between the TyG index, METS-IR, TG/HDL-C, HOMA-IR and hypertension risk. The ROC curve demonstrated the stability of the TyG index, METS-IR, TG/HDL-C, and HOMA-IR in predicting hypertension risk. The RCS curves uncovered a linear relationship between the TyG index, METS-IR, and hypertension, whereas TG/HDL-C and HOMA-IR exhibited a non-linear association with hypertension. Subgroup analyses indicated that smoking and diabetes may influence the relationship between insulin resistance-related indices and hypertension.

Conclusion: Elevated levels of the insulin resistance indices TyG index, METS-IR, TG/HDL-C, and HOMA-IR are closely associated with hypertension risk. These indices can serve as effective markers for monitoring hypertension risk in clinical practice. However, larger-scale prospective cohort studies are needed to validate these findings and further explore the clinical application potential of the TyG index, METS-IR, TG/HDL-C, and HOMA-IR as tools for cardiovascular risk assessment. Such studies will help elucidate the specific causal relationships between these insulin resistance-related indices and hypertension and advance their practical application in clinical settings.

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