Changes in remnant cholesterol and the incidence of diabetes: Results from two large prospective cohort studies
Authors' conclusion
Long-term exposure to high RC levels links to an elevated risk of diabetes. Therefore, maintaining optimal RC levels and continuously monitoring them may contribute to reducing the incidence of diabetes.
Study context
- Population
- Participants of China Health and Retirement Longitudinal Study (CHARLS) (China) and English Longitudinal Study of Ageing (ELSA) (England) with two repeated residual cholesterol (RC) measurements5,124 CHARLS
- Exposure
- Consistently elevated RC (class 4) vs consistently low RC (class 1); highest vs lowest cumulative RC
- Outcome
- Incident diabetes
Methodological detailstwo cohorts (CHARLS and ELSA), K-means clustering of RC change, Cox proportional hazards regression
- Two cohorts (CHARLS and ELSA)
- K-means clustering of RC change
- Cox proportional hazards regression
Main finding
As reported in the abstract
Diabetes risk by RC change class
Class 4 vs Class 1Estimate (95% CI)
CHARLS
fold increase in diabetes risk (CHARLS) 1.98(1.38–2.84)
ELSA
fold increase in diabetes risk (ELSA) 2.73(1.69–4.38)
Observational data: associations, not effects.
Further findings
| Outcome | Estimate | |
|---|---|---|
| Diabetes risk, highest vs lowest cumulative RCHighest cumulative RCvs Lowest cumulative RCCHARLS | fold increase in diabetes risk (CHARLS) 1.62 (95% CI 1.21–2.18) | |
| Diabetes risk, highest vs lowest cumulative RCHighest cumulative RCvs Lowest cumulative RCELSA | fold increase in diabetes risk (ELSA) 2.98 (95% CI 1.81–4.88) | |
| −20246Difference (linear scale) |
Cumulative RC and diabetes by cumulative LDL-C
- Elevated cumulative RC remains a substantial risk factor for diabetes, irrespective of cumulative LDL-C level
Original publication
Changes in remnant cholesterol and the incidence of diabetes: Results from two large prospective cohort studies. Diabetes Obes Metab. Published 4 April 2025. doi:10. 1111/ dom. 16383
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