ArticleFrontiers in nutrition2025
Cumulative atherosclerosis index of plasma exposure and new-onset diabetes in middle-aged and older adults: a prospective cohort analysis from the China Health and Retirement Longitudinal Study.
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 3 papers.
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3 citing papers in PubMed.
- Physical Activity Modifies the Association Between Atherogenic Index of Plasma and New-Onset Diabetes in Middle-Aged and Older Adults.Healthcare (Basel, Switzerland) · 2026Article
- Correlation between the modified cardiometabolic index and the incidence of cardiovascular disease in a population with cardiovascular-kidney-metabolic syndrome stages 0-3: a nationwide prospective cohort study.Scientific reports · 2026Article
- Associations of cumulative exposure and dynamic trajectories of the triglyceride-total cholesterol-body weight index with new-onset cardiometabolic multimorbidity in middle-aged and older Chinese adults: evidence from a nationwide prospective cohort study.Cardiovascular diabetology · 2026Article
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5 authors.
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Abstract
Introduction: China bears the world's largest diabetes burden (116 million adults). The Cumulative Atherosclerosis Index of Plasma (CumAIP), reflecting lipid-driven atherogenicity, may contribute to diabetes pathogenesis. This study investigates longitudinal associations between cumulative CumAIP exposure and diabetes incidence in middle-aged and older Chinese adults. Method: Using data from the China Health and Retirement Longitudinal Study (CHARLS), we analyzed 10,395 diabetes-free participants at baseline (2011) with follow-ups in 2013, 2015, and 2018. Multivariable logistic regression adjusted for sociodemographic (age, gender, education), lifestyle (smoking, alcohol, sleep, physical activity), and clinical factors (systolic and diastolic blood pressure, BMI, waist circumference). Restricted cubic splines assessed dose-response relationships. Result: Over 7 years, 793 participants (15.73%) developed diabetes. The highest CumAIP quartile (Q4) had a 3.43-fold elevated diabetes risk vs. Q1 (OR = 3.82, 95% CI: 3.13-4.67). A linear dose-response relationship was observed (p for nonlinearity=0.44); each interquartile increase in CumAIP above 1.03 elevated risk by 90% (OR = 1.90, 95% CI: 1.75-2.07). CumAIP predicted diabetes moderately (AUC=0.64, cutoff = 1.03). Conclusion: Cumulative CumAIP exposure independently predicts diabetes incidence in middle-to-older adults, highlighting its potential for clinical risk stratification.
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