Evidence map›Paper›PMID 41152827›Full record

ArticleCardiovascular diabetology2025

Association between the stress hyperglycemia ratio and elevated blood pressure among U.S. adolescents aged 12-17.

Liujie Zheng, Guoqiang Li, Yan Liu, Zhiyong Hou

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Liujie ZhengDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Guoqiang LiDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China.
Yan LiuDepartment of Endocrinology, Third Hospital of Hebei Medical University, Shijiazhuang, 050051, Hebei Province, China. liuyan@hebmu.edu.cn.
Zhiyong HouDepartment of Orthopaedic Surgery, Hebei Medical University Third Hospital, Shijiazhuang, 050051, Hebei, China. drzyhou@hebmu.edu.cn.

Funding

Key R&D Program of the China Ministry of Science and Technology 2024YFC2510600
6 · The paper itself

Abstract

backgroundThe stress hyperglycemia ratio (SHR) has been reported to be closely associated with various diseases and prognoses. However, the relationship between SHR and elevated blood pressure (EBP) in adolescents aged 12-17 remains unclear.

methodsThis cross-sectional study included U.S. adolescents from the 1999-2016 National Health and Nutrition Examination Survey (NHANES). The primary outcome was EBP. SHR was calculated by the formula [FPG (mmol/L)] / [1.59 × HbA1c (%) - 2.59]. Patients were divided into SHR quartiles. Weighted multivariable logistic regression models, subgroup analysis, restricted cubic spline (RCS) and receiver operating characteristic (ROC) curves, sensitivity analyses were used to evaluate the associations.

resultsA total of 3676 participants were included. Among them, 543 participants had EBP. In the fully adjusted model (Model 3), per SD increase in SHR was associated with a 17% higher odds of EBP (aOR 1.17, 95%CI 1.04-1.32, p = 0.009). Compared with the lowest quartile, participants in the highest quartile had a 95% higher odds of EBP (aOR 1.90, 95%CI 1.29-2.79, p for trend < 0.001). RCS analysis revealed a significant linear association between SHR and EBP (p for non-linearity > 0.05). ROC curves indicated that SHR had modest predictive performance for EBP in adolescents (AUC 0.723, 95%CI 0.699-0.747).

conclusionsThis study suggests that higher SHR levels are positively associated with the prevalence of EBP among U.S. adolescents aged 12-17.

Indexed as

Blood GlucoseBlood PressureHyperglycemiaHypertensionStress, PhysiologicalAdolescentAge FactorsBiomarkersChildCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleNutrition SurveysPrevalenceBiomarkersBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanAdolescentsElevated blood pressureNHANESStress hyperglycemia ratio

Identifiers

PMID41152827
PMCPMC12570558

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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.