ArticleDiabetology & metabolic syndrome2024
Comparison of atherogenic indices for predicting the risk of metabolic syndrome in Southwest Iran: results from the Hoveyzeh Cohort Study (HCS).
Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association between atherogenic index of plasma and various metabolic conditions: an umbrella review on meta-analyses.BMC cardiovascular disorders · 2025Pooled it
- Diagnostic accuracy of the atherogenic index of plasma in metabolic syndrome: a diagnostic meta-analysis.PeerJ · 2025Pooled it
- Global prevalence of metabolic syndrome among individuals with sarcopenia: a systematic review and meta-analysis of 72,129 patients.Diabetology & metabolic syndrome · 2026Review
- Risk prediction of multiple cardiometabolic diseases in middle-aged and older adults using lipid metabolism biomarkers and derived composite measures based on machine learning: a prospective cohort study of CHARLS.Lipids in health and disease · 2025Article
- Total cholesterol/high-density lipoprotein cholesterol ratio is a significant predictor of metabolic syndrome among people on dolutegravir-based antiretroviral therapy: A cross-sectional study in southwestern Uganda.The Journal of international medical research · 2025Article
- A J-shaped association between the atherogenic index of plasma and diabetes risk in a Japanese population: a large-scale retrospective cohort study.BMC endocrine disorders · 2025Article
- 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.Cardiovascular diabetology · 2025Article
- L-shaped relationship between atherogenic index of plasma with uric acid levels and hyperuricemia risk.Frontiers in endocrinology · 2024Article
- Sex-Specific Cardiometabolic Phenotypes of Metabolic Syndrome Identified by Latent Class Analysis in Indian Adults.International journal of applied & basic medical researchArticle
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6 authors.
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Abstract
backgroundMetabolic syndrome (MetS) is a cluster of risk factors related to diabetes and cardiovascular disease (CVD). Given that early identification of MetS might decrease CVD risk, it is imperative to establish a simple and cost-effective method to identify individuals at risk of MetS. The purpose of this study was to explore the relationships between several atherogenic indices (including AIP, TyG index, non-HDL-C, LDL-c/HDL-c, and TC/HDL-c) and MetS, and to assess the ability of these indices to predict MetS.
methodsThe present cross-sectional study was conducted using baseline data from 9809 participants of the Hoveyzeh Cohort Study (HCS). MetS was defined based on the International Diabetes Federation (IDF). To examine the discriminatory abilities of each atherogenic indices in the identification of MetS, a receiver-operating characteristic curve was conducted. Logistic regression analysis was also performed to evaluate the relationship between atherogenic indices and MetS.
resultsAll of the atherogenic indices including the TyG index, AIP, non-HDL-C, TC/HDL-c, and LDL-c/HDL-c were significantly higher in participants with MetS than in those without MetS. According to the ROC curve analysis, the TyG index revealed the highest area under the curve (0.79 and 0.85 in men and women, respectively), followed by the AIP (0.76 and 0.83 in men and women, respectively). The best cutoff values for the TyG index and AIP were 8.96 and 0.16 for men and 8.84 and 0.05 for women, respectively. The TyG index and AIP were also strongly associated with MetS.
conclusionAmong the 5 atherogenic indices evaluated, the TyG index and AIP were strongly related to MetS. The TyG index also demonstrated superior discriminative ability compared to other atherogenic indices in predicting MetS.
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