ArticleFrontiers in nutrition2025
The association of the atherogenic index of plasma with hypertension, diabetes, and their comorbidities in Chinese middle-aged and elderly people: a cross-sectional study from CHARLS.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between the atherogenic index of plasma and metabolic-associated/nonalcoholic fatty liver disease: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- The Association Between Atherogenic Index of Plasma and Type 2 Diabetes Mellitus in a Multi-Ethnic Population of Premature Coronary Artery Disease Patients: Insights From IPAD Study.Endocrinology, diabetes & metabolism · 2026Article
- Association of the TyG-related indices with hypertension-diabetes comorbidity in middle-aged and older adults: a suburban community-based study.BMC cardiovascular disorders · 2026Article
- Prognostic value of the atherogenic index of plasma for early-stage diabetic kidney disease in type 2 diabetes: a retrospective cohort study using supervised machine learning.Frontiers in nutrition · 2026Article
- Association of plasma homocysteine with the atherogenic index of plasma and modification by body mass index: a cross-sectional study.Frontiers in cardiovascular medicine · 2026Article
- Interacting and joint effects of atherogenic index of plasma and dietary inflammatory index on hypertension-diabetes comorbidity risk in Chinese elderly adults: results from China Nutrition and Health Surveillance in 2015-2017.Frontiers in nutrition · 2026Article
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4 authors.
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Abstract
Background: The atherogenic index of plasma (AIP) is acknowledged as a contemporary indicator of insulin resistance. Previous research on AIP and metabolism-related diseases was limited and primarily concentrated on individual diseases. The aim of this investigation was to systematically examine the relationship among AIP and hypertension, diabetes, and their comorbidities. Methods: This study employed a cross-sectional design. Using data from the China Health and Retirement Longitudinal Study (CHARLS) of 2011, we conducted a systematic investigation of the association between AIP and the risk of hypertension, diabetes, and their comorbidities through restricted cubic spline plots (RCS) and multiple multivariate logistic regression. Additionally, receiver operating characteristic curves (ROC) were employed to assess AIP's predictive validity for these conditions. Results: This study comprised 8,450 participants, with an average age of 59.57 years. The prevalence of hypertension, diabetes, and their comorbidities were 40.98, 15.62, and 8.52%, respectively. The RCS demonstrated a non-linear positive correlation between the AIP and these disorders. For each unit increased in AIP, the risk of hypertension, diabetes, and comorbidities elevated by 0.63-fold, 2.55-fold, and 2.75-fold, respectively. The ROC analysis demonstrated that AIP outperformed traditional lipid parameters in predicting both diabetes and comorbidities risk (AUC: 0.6465, 0.6725). Conclusion: This study demonstrated that heightened AIP was strongly linked to a high risk of hypertension, diabetes, and comorbidities among middle-aged and elderly Chinese individuals.
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