Affiliation:
1. School of Medicine Nankai University Tianjin China
2. Department of Endocrinology First Medical Center of PLA General Hospital Beijing China
3. Department of Endocrinology Eighth Medical Center of PLA General Hospital Beijing China
4. Graduate School Chinese PLA General Hospital Beijing China
5. Department of Medical Oncology Fifth Medical Center of Chinese PLA General Hospital Beijing China
6. The Second Medical Center of Chinese PLA General Hospital Beijing China
7. Wuhan Union Hospital Huazhong University of Science and Technology Wuhan China
8. Department of Endocrinology Zhongshan University Sun Yat‐sen Memorial Hospital Guangzhou China
9. Department of Endocrinology First Hospital of Lanzhou University Lanzhou China
10. Department of Endocrinology Dalian Central Hospital Dalian China
11. Department of Endocrinology Southwest Medical University Affiliated Hospital Luzhou China
12. Department of endocrinology First Affiliated Hospital of Guangxi Medical University Nanning China
13. Department of endocrinology First Affiliated Hospital of Zhengzhou University Zhengzhou China
14. Department of Endocrinology, Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China
Abstract
AbstractBackgroundNot many large‐sample investigations are available that compare the potency of the relationship of remnant cholesterol (RC) and other lipid parameters with diabetes and prediabetes. The goals of our study are to discover the relationship between RC and prediabetes, diabetes, and insulin resistance (IR) and to investigate RC, high‐density lipoprotein cholesterol (HDL‐C), non‐HDL‐C, triglycerides (TG), low‐density lipoprotein cholesterol (LDL‐C), total cholesterol (TC), TC/HDL‐C, LDL‐C/HDL‐C, and TG/HDL‐C, which are the lipid parameters that are most positively related to diabetes, prediabetes, and IR.MethodsThis research enrolled 36 684 subjects from China's eight provinces. We employed multiple logistic regression analysis for testing the relationship between lipid parameters and diabetes, prediabetes, and IR.ResultsAfter adjusting for potential confounders, and comparing the results with other lipid parameters, the positive relationship between RC and diabetes (odds ratio [OR] 1.417, 95% confidence interval [CI]: 1.345–1.492), prediabetes (OR 1.555, 95% CI: 1.438–1.628), and IR (OR 1.488, 95% CI: 1.404–1.577) was highest. RC was still related to diabetes, prediabetes, and IR even when TG <2.3 mmol/L (diabetes: OR 1.256, 95% CI: 1.135–1.390; prediabetes: OR 1.503, 95% CI: 1.342–1.684; and IR: OR 1.278, 95% CI: 1.140–1.433), LDL‐C <2.6 mmol/L (diabetes: OR 1.306, 95% CI: 1.203–1.418; prediabetes: OR 1.597, 95% CI: 1.418–1.798; and IR: OR 1.552, 95% CI: 1.416–1.701), or HDL‐C ≥1 mmol/L (diabetes: OR 1.456, 95% CI: 1.366–1.550; prediabetes: OR 1.553, 95% CI: 1.421–1.697; and IR: OR 1.490, 95% CI: 1.389–1.598).ConclusionRC is more positively related to diabetes, prediabetes, and IR than conventional lipids and lipid ratios in the general population, the relationships between RC and diabetes, prediabetes, and IR are stable, even if HDL‐C, LDL‐C, or TG are at appropriate levels.image