Dynamics of the atherogenic index of plasma and diabetes conversion: Insights from machine learning and longitudinal pattern analysis in middle-aged and older Chinese adults with prediabetes
Cumulative AIP exposure and unfavorable AIP change patterns independently predict prediabetes-to-diabetes progression. Incorporating these measures into risk assessment may enhance early identification of high-risk individuals and inform targeted interventions.
Authors
- Yue Zhang (ORCID: https://orcid.org/0000-0002-8017-6596)
- Liming Wang (ORCID: https://orcid.org/0000-0003-1382-9195)
- Chen Zhan (ORCID: https://orcid.org/0000-0002-4314-9994)
Institutions
- Beijing Geriatric Hospital (CN)
- Beijing Hospital (CN)
- Beijing Haidian Hospital (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251390574
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 0.00