Evidence map›Paper›PMID 38783200›Full record

ArticleBMC cardiovascular disorders2024

Correlation between triglyceride glucose-body mass index and hypertension risk: evidence from a cross-sectional study with 60,283 adults in eastern China.

Yijia Chen, Jinling Du, Nan Zhou, Yingqian Song, Weiwei Wang, Xin Hong

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

The trial behind it

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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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The efficacy of resistance training for the management of hypertension: a systematic review and meta-analysis.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2025
    Review
  5. Article
  6. Article
  7. Review
  8. Article
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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

6 authors.

Yijia Chen *Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China.
Jinling Du *Guangzhou Liwan Center for Disease Control and Prevention, Guangzhou, 510176, China.
Nan ZhouDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China.
Yingqian SongNanjing Gulou Center for Disease Control and Prevention, Nanjing, 210015, China.
Weiwei WangDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China.
Xin HongDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China. nj_hongxin@126.com.

Funding

Medical Research Project of Jiangsu Provincial Health Commission in 2022 M2022028Study funded by Nanjing Municipal Medical Science and Technique Development Foundation, China ZKX18049, ZKX21054
6 · The paper itself

Abstract

backgroundInsulin resistance (IR) and obesity are established risk factors for hypertension, with triglyceride-glucose (TyG) serving as a recognized surrogate marker for IR. The aim of this study was to investigate the association between TyG-BMI and hypertension in the general population.

methodsA total of 60,283 adults aged ≥18 years who underwent face-to-face questionnaires, anthropometric measurements, and laboratory examination were included in this study. Multivariable logistic regression models and receiver operating characteristic curve (ROC) were used to determine the association between TyG-BMI and hypertension. The restricted cubic spline model was used for the dose-response analysis.

resultsAfter fully adjusting for confounding variables, multivariate logistic regression model showed a stable positive association between TyG-BMI and hypertension (OR: 1.61 per SD increase; 95% CI: 1.55-1.67; P-trend < 0.001). The multivariate adjusted OR and 95% CI for the highest TyG-BMI quartile compared with the lowest quartile were 2.52 (95% CI 2.28-2.78). Dose-response analysis using restricted cubic spline confirmed that the association between TyG-BMI index and hypertension was linear. Subgroup analyses showed that stronger associations between TyG-BMI index and hypertension were detected in young and middle-aged individuals (P for interaction < 0.05). ROC analysis showed that TyG-BMI index could better predict the risk of hypertension than other parameters (TyG-BMI cut-off value: 207.105, AUC: 0.719, sensitivity 65.5%, specificity 66.8%), particularly among young and middle-aged people.

conclusionThe TyG-BMI index was independently associated with hypertension in the study population. Further studies are required to confirm this relationship.

Indexed as

BiomarkersBlood GlucoseBody Mass IndexHypertensionTriglyceridesAdultAgedArea Under CurveBlood PressureChinaChi-Square DistributionCross-Sectional StudiesFemaleHumansInsulin ResistanceLogistic ModelsBiomarkersBlood GlucoseTriglyceridesBody mass indexHypertensionTriglycerideTriglyceride glucose-body mass indexTyG-BMI

Identifiers

PMID38783200
PMCPMC11112881

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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.