ArticleFrontiers in endocrinology2025
Association between atherogenic index of plasma and new onset of type 2 diabetes among elderly in China: a longitudinal study.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Associations of cumulative exposure and dynamic trajectories of the combined atherogenic-frailty index with incident cardiometabolic multimorbidity: a prospective cohort study.Journal of global health · 2026Article
- Joint effects of depression, lipid metabolic dysfunction, and their trajectories on incident cardiometabolic multimorbidity: a prospective multi-cohort analysis from two national cohorts.Lipids in health and disease · 2026Article
- Association of a new TyG indicator, TyHGB, with cardiovascular disease incidence among the elderly: evidence from a prospective cohort study.BMC geriatrics · 2026Article
- Associations of the atherogenic index of plasma and its modified indices with the incidence and progression of cardiometabolic multimorbidity in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: a prospective cohort study.Cardiovascular diabetology · 2026Article
- Physical Activity Modifies the Association Between Atherogenic Index of Plasma and New-Onset Diabetes in Middle-Aged and Older Adults.Healthcare (Basel, Switzerland) · 2026Article
- Association of Circulating Irisin with Insulin Resistance and Metabolic Risk Markers in Prediabetic and Newly Diagnosed Type 2 Diabetes Patients.International journal of molecular sciences · 2026Article
- Association between novel obesity- and lipid-related indices and diabetes across different FBG among elderly: a prospective cohort study.Frontiers in endocrinology · 2026Article
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Authors and funding
5 authors.
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Abstract
Background: Previous studies have reported an association between the atherogenic index of plasma AIP and CVD incidence. However, few studies have investigated its longitudinal predictive effect on T2D among elderly individuals. Methods: Data from the BaHLS of the Community-Based Elderly Population in Shenzhen, China, were utilized. AIP was calculated as log10 ^[TG/HDL-C]. The subjects were divided into four groups on the basis of the quartiles of AIP values at baseline. A multivariable Cox proportional hazards model and a GAM were employed to assess the longitudinal predictive effect of the AIP on the risk of new-onset T2D. The predictive efficacy of the AIP, TG, and HDL-C for new-onset T2D was analyzed and compared via receiver operating characteristic (ROC) curve analysis. Results: A total of 18,295 subjects were selected, of whom 1,300 developed T2D by 2022. After adjusting for confounding factors, we found that the AIP was positively associated with the incidence of T2D. When AIP was categorized into four groups based on quartiles, the risk of new-onset T2D in the 2nd to 4th groups increased by 26% (95% Conclusion: The study demonstrated that the AIP was positively associated with an increased incidence of T2D, suggesting that the AIP should serve as a valuable indicator for monitoring and preventing new-onset T2D.
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