Evidence map›Paper›PMID 40419977›Full record

ArticleBMC cardiovascular disorders2025

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

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

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Junwei Huang *Department of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Jinzao Chen *Department of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Guoyan PanDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Liping ZhengDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Jinri WengDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Chunfa WengDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Jianbin ChenDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Bin LinDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Zhiwei WuDepartment of Cardiology, The First Hospital of Putian City, Putian, Fujian Province, China.
Lixian LinDepartment of Internal Medicine, The First Hospital of Putian City, Putian, Fujian Province, China. LLX514030811@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodData 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.

resultOur 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).

conclusionThere 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.

Indexed as

Blood GlucoseBlood PressureHypertensionTriglyceridesWaist-Height RatioAdolescentAdultAge FactorsBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPredictive Value of TestsBiomarkersBlood GlucoseTriglyceridesHypertensionNHANESTriglyceride glucose indexTyGTyG-WHtR

Identifiers

PMID40419977
PMCPMC12105317

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.