Evidence map›Paper›PMID 40399995›Full record

ArticleCardiovascular diabetology2025

Association between the atherogenic index of plasma and incident hypertension across different blood pressure states: a national cohort study.

Degang Mo, Peng Zhang, Miao Zhang, Hongyan Dai, Guoan Wang

Abstract readComparative Study
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 22 papers.

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22citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Degang MoSchool of Medicine, Qingdao University, Qingdao, 266000, China.
Peng ZhangSchool of Medicine, Qingdao University, Qingdao, 266000, China.
Miao ZhangSchool of Medicine, Qingdao University, Qingdao, 266000, China.
Hongyan DaiDepartment of Cardiology, Qingdao Municipal Hospital, Qingdao, 266011, China. DrDaihy@163.com.
Guoan WangDepartment of Cardiology, Qingdao Municipal Hospital, Qingdao, 266011, China. guoanwang1@163.com.

Funding

Qingdao Science & Technology for Public Well-being Project 25-1-5-smjk-8-nshShandong Provincial Natural Science Foundation ZR2024MH214
6 · The paper itself

Abstract

backgroundHypertension is a major public health concern, making effective preventive strategies essential. The atherogenic index of plasma (AIP), a new lipid metabolic index that is associated with insulin resistance and cardiovascular diseases. However, the association between AIP and the incidence of hypertension remains unexplored. To address this knowledge gap, we designed a large-scale retrospective cohort study to investigate the association between AIP and the occurrence of hypertension across different blood pressure (BP) states, including individuals with normal BP and those with elevated BP.

methodsThis retrospective cohort study used data from the China Health and Retirement Longitudinal Study (CHARLS) involving participants aged 45 and older, assessed in 2011 and followed up in 2020. AIP was calculated using the logarithmic ratio of triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C). Logistic regression models, restricted cubic splines models, and threshold analyses were employed to examine the relationship between AIP and the incidence of hypertension. Receiver Operating Characteristic analysis was utilized to assess the ability of AIP to predict the incidence of hypertension. Subgroup analyses were conducted across various demographic and health-related factors. Sensitivity analyses were employed to address biases arising from self-reported data.

resultsAmong 6540 participants, 1909 (29.19%) developed hypertension over nine years. The AIP is an independent risk factor for the development of hypertension, with an adjusted odds ratio of 1.84 [95% confidence interval (CI) 1.41-2.39, p < 0.001] in individuals with normal BP and 1.88 (95% CI 1.40-2.52, p < 0.001) in those with elevated BP. A nonlinear relationship between AIP and the incidence of hypertension was identified in both normal BP and elevated BP population. AIP has a better predictive ability for the occurrence of hypertension compared to the single indicators of TG and HDL-C. Age significantly impacted AIP's predictive value, especially in those aged 45 to 60 in normal BP population. Sensitivity analyses further validated the nonlinear relationship between AIP and the occurrence of hypertension.

conclusionsAIP is a significant predictor of hypertension, demonstrating a nonlinear association with its occurrence in normal BP and elevated BP population.

trial registrationNot applicable.

Indexed as

AtherosclerosisBlood PressureCholesterol, HDLDyslipidemiasHypertensionTriglyceridesAgedBiomarkersChinaFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersCholesterol, HDLTriglyceridesAtherogenic index of plasmaCHARLSElevated blood pressureHypertensionRisk assessment

Identifiers

PMID40399995
PMCPMC12093804

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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.