ArticleLipids in health and disease2018
Atherogenic index of plasma is a novel and better biomarker associated with obesity: a population-based cross-sectional study in China.
Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.
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Who cites it
114 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Atherogenic Index of Plasma in Metabolic Syndrome-A Systematic Review and Meta-Analysis.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Trial
- Rice bran oil could favorably ameliorate atherogenicity and insulin resistance indices among men with coronary artery disease: post hoc analysis of a randomized controlled trial.Lipids in health and disease · 2021Trial
- Adiposity and inflammation mediate altered metabolic profile in individuals with opioid use disorder.Journal of psychiatric research · 2026Article
- Endothelial Dysfunction and Obesity: New Diagnostic and Therapeutic Strategies.International journal of molecular sciences · 2026Review
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- An explainable machine learning method for identifying key atherogenic lipid biomarkers in abdominal obesity among the Southern Chinese population.Lipids in health and disease · 2026Article
- Non-traditional metabolic indices predict incident circadian syndrome in middle-aged and older Chinese adults: a nationwide prospective cohort study and machine learning analysis.Lipids in health and disease · 2026Observational
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- Adiposity and inflammation mediate altered metabolic profiles in individuals with opioid use disorder.medRxiv : the preprint server for health sciences · 2026Article
- Influence of Plasma Atherogenic Index on Coronary Artery Disease Severity: Insights From a Large-Scale Cohort Study in China.Reviews in cardiovascular medicine · 2026Article
- Impact of a Hypocaloric Diet on Prognostic Biomarkers of Endothelial Dysfunction: A Prospective Study.Journal of clinical medicine · 2026Article
- Preoperative Metabolic Predictors of Granulation Subtypes in Somatotroph Tumors: A Multicenter Retrospective Cohort Study.CNS neuroscience & therapeutics · 2026Article
- Unveiling sex-specific cardiometabolic and adiposity risk profiles for precision prevention.European journal of medical research · 2026Article
- Intestinal Permeability Biomarkers for Predicting Cardiometabolic Risk in Type 2 Diabetes Mellitus.Nutrients · 2026Article
- Article
- Evaluating Body Mass Index to High-Density Lipoprotein Cholesterol (BMI/HDL-C) Ratio in Predicting Coronary Artery Disease: A Multicenter Study.Vascular health and risk management · 2026Observational
- The Relationship Between Ambulatory Blood Pressure and Atherogenic Index with LV Geometry Pattern in Obese Children: Results from a Cross-Sectional Study in Serbia.Pediatric cardiology · 2026Article
- The correlation between the atherogenic index of plasma and aortic valve calcification in the general population: a retrospective observational cohort study.Frontiers in endocrinology · 2026Observational
- The Predictive Role of the Triglyceride/High-Density Lipoprotein Ratio and the Triglyceride-Glucose Index, Along with Anthropometric Measurements, in Diagnosing Non-Alcoholic Fatty Liver Disease in Obese Kids and Juveniles, and the Evaluation of Novel Cardiovascular Risk Markers in Pediatric NAFLD.Children (Basel, Switzerland) · 2025Article
54 more citing papers are in PubMed but not listed here.
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10 authors.
Funding
Abstract
backgroundAtherogenic index of plasma (AIP) has been reported to be associated with cardiovascular diseases. However no study has yet systematically evaluated the association between AIP and obesity and its advantage in obesity prediction compared with conventional lipid components.
methodsA total of 6465 participants aged over 30 years were included in this study. Blood lipid components including triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured, and AIP was calculated as log
resultsSubjects in the higher quartiles of AIP all had a significantly increased risk of obesity compared with those in the lowest quartile (P for trend< 0.01). AIP showed a stronger association with obesity than the conventional lipid components as the pearson coefficient reached up to 0.372 and the adjusted odds ratio was 5.55. Using AIP rather than HDL-C and TG significantly improved risk prediction for obesity (AUC improvement = 0.011, P = 0.011; Continuous net reclassification index = 29.55%, P < 0.01; Category net reclassification index = 6.06%; Integrated discrimination improvement = 0.68%, P < 0.01).
conclusionsHigher AIP level was positively and strongly associated with obesity. AIP is a novel and better biomarker associated with obesity. Controlling the AIP level would be more helpful for the prevention of obesity.
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