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Association between the atherogenic index of plasma and long-term risk of type 2 diabetes: a 12-year cohort study based on the Japanese population

Qianxing Zhou, Yamei Wu, Mingkang Li

2025Cardiovascular Diabetology16 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Atherosclerotic dyslipidemia is associated with an increased risk of type 2 diabetes (T2D). Although previous studies have demonstrated an association between the atherogenic index of plasma (AIP) and insulin resistance, there remains a scarcity of large cohort studies investigating the association between AIP and the long-term risk of T2D in the general population. This study aims to investigate the potential association between AIP and the long-term risk of T2D in individuals with normal fasting plasma glucose levels. METHODS: This retrospective cohort study included 15,453 participants. The AIP was calculated using the formula log [triglyceride (mmol/L)/high-density lipoprotein cholesterol (mmol/L)]. Cox proportional hazard regression models were employed to assess the association between AIP and T2D risk. The nonlinear association was examined using a restricted cubic spline (RCS) model. RESULTS: During an average follow-up period of 6.05 years, 373 participants developed T2D. After adjusting for confounding factors, elevated AIP was independently associated with an increased risk of developing T2D (HR 1.763, 95%CI 1.210-2.568, P = 0.003). The RCS analysis revealed a J-shaped association between AIP and T2D risk, with a sharp increase in risk when AIP levels exceeded - 0.268. Moreover, time-dependent receiver operating characteristic analysis consistently demonstrated a moderate predictability of AIP for new-onset T2D within 1 to 12 years. CONCLUSION: The AIP exhibits a J-shaped association with the risk of developing T2D. Therefore, maintaining AIP levels below a certain threshold (-0.268) might help prevent the onset of T2D.

Topics & Concepts

MedicineType 2 diabetesAngiologyInternal medicineDiabetes mellitusIndex (typography)CohortTerm (time)PopulationCohort studyEndocrinologyEnvironmental healthQuantum mechanicsComputer scienceWorld Wide WebPhysicsDiabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesInflammatory Biomarkers in Disease Prognosis