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Background <p>This study aimed to explore the association between TyG and the prevalence of hypertension in US adults aged 18–60.</p> Method <p>Data was obtained from the National Health and Nutrition Examination Survey (NHANES) covering the circles from 2009 to 2018, involving 12,309 adults aged 18 to 60. The biomarkers studied in this article included weight, body mass index (BMI), waist circumference (WC), weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), triglyceride-glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC), triglyceride glucose-weight (TyG-Weight), and triglyceride glucose-waist to height ratio (TyG-WHtR). Participants were categorized into a non-Hypertension group (<i>n</i> = 7,076) and a Hypertension group (<i>n</i> = 5,233). A weighted multiple logistic regression model was employed to evaluate the association between biomarkers and hypertension. Restricted cubic splines (RCS) were utilized to examine the non-linear association between biomarkers and the risk of developing hypertension. Threshold effect analysis was used to determine the inflection point. Receiver operating characteristic (ROC) curves were generated to assess the predictive performance of biomarkers for hypertension. Additionally, subgroup and interaction analyses were conducted to confirm the reliability of the associations observed.</p> Result <p>Our analysis revealed that after adjusting for multiple variables, the risk of hypertension increased by 12% for each unit increase in TyG-WHtR (<i>P</i> &lt; 0.001). The RCS results showed a positive nonlinear association between TyG-WHtR and hypertension, with an inflection point of 5.79. Similar associations were also observed with WWI, WHtR, and TyG. The ROC curve analysis demonstrated that TyG-WHtR had the best predictive performance for hypertension (AUC: 0.6946, 95% CI: 0.6853–0.7039, Cut-off Value: 4.831, all P for comparison &lt; 0.001). Subgroup analysis revealed that the association between TyG-WHtR and hypertension remains robust (all P for interaction &gt; 0.05).</p> Conclusion <p>There is a significant association between WWI, WHtR, TyG, and TyG-WHtR with hypertension in American adults aged 18 to 60, with TyG-WHtR demonstrating the best predicted performance.</p> Clinical trial number <p>Not applicable.</p>

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Association between triglyceride glucose-waist to height ratio (TyG-WHtR) and hypertension in adults aged 18–60: a cross-sectional study

  • 期刊论文

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  • 发表日期：

    2025年5月26日

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  • Junwei Huang,
  • Jinzao Chen,
  • Guoyan Pan,
  • Liping Zheng,
  • Jinri Weng,
  • Chunfa Weng,
  • Jianbin Chen,
  • Bin Lin,
  • Zhiwei Wu,
  • Lixian Lin

摘要

Background

This study aimed to explore the association between TyG and the prevalence of hypertension in US adults aged 18–60.

Method

Data was obtained from the National Health and Nutrition Examination Survey (NHANES) covering the circles from 2009 to 2018, involving 12,309 adults aged 18 to 60. The biomarkers studied in this article included weight, body mass index (BMI), waist circumference (WC), weight-adjusted waist index (WWI), waist-to-height ratio (WHtR), triglyceride-glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI), triglyceride glucose-waist circumference (TyG-WC), triglyceride glucose-weight (TyG-Weight), and triglyceride glucose-waist to height ratio (TyG-WHtR). Participants were categorized into a non-Hypertension group (n = 7,076) and a Hypertension group (n = 5,233). A weighted multiple logistic regression model was employed to evaluate the association between biomarkers and hypertension. Restricted cubic splines (RCS) were utilized to examine the non-linear association between biomarkers and the risk of developing hypertension. Threshold effect analysis was used to determine the inflection point. Receiver operating characteristic (ROC) curves were generated to assess the predictive performance of biomarkers for hypertension. Additionally, subgroup and interaction analyses were conducted to confirm the reliability of the associations observed.

Result

Our analysis revealed that after adjusting for multiple variables, the risk of hypertension increased by 12% for each unit increase in TyG-WHtR (P < 0.001). The RCS results showed a positive nonlinear association between TyG-WHtR and hypertension, with an inflection point of 5.79. Similar associations were also observed with WWI, WHtR, and TyG. The ROC curve analysis demonstrated that TyG-WHtR had the best predictive performance for hypertension (AUC: 0.6946, 95% CI: 0.6853–0.7039, Cut-off Value: 4.831, all P for comparison < 0.001). Subgroup analysis revealed that the association between TyG-WHtR and hypertension remains robust (all P for interaction > 0.05).

Conclusion

There is a significant association between WWI, WHtR, TyG, and TyG-WHtR with hypertension in American adults aged 18 to 60, with TyG-WHtR demonstrating the best predicted performance.

Clinical trial number

Not applicable.