Evidence map›Paper›PMID 38172813›Full record

ArticleCardiovascular diabetology2024

Central and peripheral blood pressures in relation to the triglyceride-glucose index in a Chinese population.

Yin-Hua Sun, Nai-Qing Hu, Xian-Yi Huang, Zheng-Xin Liu, Qi-Yan Li, Qing-Lu Li, Li-Hua Li

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Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yin-Hua Sun *Department of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Nai-Qing Hu *Department of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Xian-Yi Huang *Department of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Zheng-Xin LiuDepartment of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Qi-Yan LiDepartment of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Qing-Lu LiDepartment of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China.
Li-Hua LiDepartment of Gerontology, The First Affiliated Hospital of Dali University, Jiashibo Road 32, Dali, 671000, Yunnan Province, China. lilihuayncn@163.com.

Funding

National Natural Science Foundation of China 82260076 and 81860084
6 · The paper itself

Abstract

backgroundThe triglyceride-glucose (TyG) index has been proposed as a surrogate marker of insulin resistance. However, the relationship between the TyG index and central blood pressure (BP), has not been well studied in adults.

methodsA total of 715 Chinese adult participants were enrolled in this study. Anthropometric and BP were assessed. The TyG index was calculated as ln[fasting triglycerides(mg/dL) × fasting glucose(mg/dL)/2]. Central BP was measured using SphygmoCor system.

resultsThe participants were stratified into three groups based on the TyG index, and significant differences were observed in metabolic and cardiovascular parameters and the prevalence of hypertension among the groups. Both brachial (β = 1.38, P = 0.0310; group highest vs. lowest, β = 2.66, P = 0.0084) and aortic (β = 2.38, P = 0.0002; group highest vs. lowest, β = 3.96, P = 0.0001) diastolic BP were significantly and independently associated with the TyG index and increasing TyG index tertile. However, there was no independent association between the TyG index and systolic BP. A one-unit increase in the TyG index was associated with a 46% higher risk of hypertension (P = 0.0121), and compared with the lowest group, participants in the highest group had a 95% higher risk of hypertension (P = 0.0057).

conclusionsOur study demonstrates a significant and independent association between the TyG index and both brachial and aortic diastolic BP in Chinese adults. Furthermore, the TyG index was found to be an independent predictor of hypertension.

Indexed as

HypertensionInsulin ResistanceAdultBiomarkersBlood GlucoseBlood PressureChinaGlucoseHumansRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesBlood pressureCentral hemodynamicsHypertensionInsulin resistanceTriglyceride-glucose index

Identifiers

PMID38172813
PMCPMC10765647

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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.