Association between non-traditional lipid-inflammatory parameters and incident diabetes: a national prospective cohort study
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Non-traditional lipid indices are diabetes risk factors, but their combined effects with inflammatory markers remain unclear. The present study systematically investigated and compared the associations between eight non-traditional lipid-inflammatory parameters and new-onset diabetes. METHODS: Data were obtained from the 2011-2020 China Health and Retirement Longitudinal Study. The lipid-inflammatory parameters were created by integrating non-traditional lipid indices and high-sensitivity C-reactive protein (hsCRP). Cox regression and restricted cubic spline models examined the associations of baseline and cumulative lipid-inflammatory parameters with diabetes risk. Time-dependent receiver operating characteristic analyses evaluated the predictive performance of these parameters. Mediation analyses explored the reciprocal links between non-traditional lipid indices, hsCRP, and diabetes risk. RESULTS: The study enrolled 7,356 participants, with 1,173 (15.95%) developing diabetes over a median follow-up period of 9 years. In the multivariable-adjusted model, individuals with higher baseline and cumulative non-traditional lipid-inflammatory parameter levels had an elevated risk of developing diabetes, especially for lipoprotein combined index (LCI)-hsCRP (hazard ratio [HR] = 2.03, 95% confidence interval [CI]: 1.70-2.41). All lipid-inflammatory parameters were nonlinearly associated with diabetes risk. The area under the curve (AUC) values for the eight lipid-inflammatory parameters ranged from 0.595 to 0.619, with LCI-hsCRP exhibiting the highest predictive value (AUC = 0.619, 95% CI: 0.597-0.640). The results were consistent across sensitivity and subgroup analyses. Mediation analyses showed significant bidirectional mediation between non-traditional lipid indices and hsCRP for diabetes. CONCLUSIONS: Elevated baseline and cumulative non-traditional lipid-inflammatory parameter levels are linked to a higher risk of incident diabetes, with LCI-hsCRP showing the highest predictive value. CLINICAL TRIAL NUMBER: Not applicable.
Source: BMC Endocrine Disorders
Authors: Jie Hua, Qingqing Jiang, Shiyi Cao, Furong Wang
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,190
OpenAlex ID: W7135209284
