Han Mengqi, Shen Yue, Guo Xin, Hong Cheng, Ji Xincan, Guo Haoyang, Jin Yuelong, Yuan Hui
Department of Epidemiology and Health Statistics, School of Public Health, Wannan Medical College, Wuhu 241002, China.
Endocr J. 2025 Jan 6;72(1):43-51. doi: 10.1507/endocrj.EJ24-0189. Epub 2024 Sep 20.
Non-high-density lipoprotein cholesterol (non-HDL), a more readily available and reliable lipid parameter, is unclear in its association with type 2 diabetes (T2D). Previous studies assessing the relationship between non-HDL and T2D risk remains inconsistent results. We performed a meta-analysis to systematically evaluate this association. The PubMed, EMBASE, Medline, Web of Science, and Cochrane Library databases were systematically searched to find articles on "non-HDL" and "T2D" from inception to December 6, 2023. A random-effects model was used to calculate the effect estimates and 95% confidence intervals. Subgroup analyses and univariate Meta-regression were performed to explore sources of heterogeneity. The main exposure and outcome were non-HDL and T2D, respectively, in the general population. A total of 8 studies included 251,672 participants who met the inclusion criteria for this study. Meta-analysis showed that higher non-HDL increased the risk of T2D compared with the lower non-HDL group (total effect size: 1.16; 95% CI 1.079-1.251, p < 0.001). Subgroup analyses and Meta-regression of the association between non-HDL and T2D were not affected by region, proportion of men, sample size, or adjustment for confounders (including BMI, hypertension, waist circumference, and family history of diabetes). Higher non-HDL may be associated with an increased risk of T2D. Large prospective cohort studies are needed to validate these findings, and further studies are required in order to elucidate the underlying pathophysiologic mechanisms underlying the association between non-HDL and T2D.
非高密度脂蛋白胆固醇(non-HDL)是一种更容易获得且更可靠的血脂参数,其与2型糖尿病(T2D)的关联尚不清楚。以往评估non-HDL与T2D风险之间关系的研究结果仍不一致。我们进行了一项荟萃分析,以系统地评估这种关联。系统检索了PubMed、EMBASE、Medline、Web of Science和Cochrane图书馆数据库,以查找从创刊至2023年12月6日有关“non-HDL”和“T2D”的文章。采用随机效应模型计算效应估计值和95%置信区间。进行亚组分析和单变量Meta回归以探索异质性来源。在一般人群中,主要暴露因素和结局分别为non-HDL和T2D。共有8项研究纳入了251,672名符合本研究纳入标准的参与者。荟萃分析表明,与non-HDL较低组相比,较高的non-HDL增加了T2D的风险(总效应量:1.16;95%CI 1.079-1.251,p<0.001)。non-HDL与T2D之间关联的亚组分析和Meta回归不受地区、男性比例、样本量或混杂因素调整(包括体重指数、高血压、腰围和糖尿病家族史)的影响。较高的non-HDL可能与T2D风险增加有关。需要大型前瞻性队列研究来验证这些发现,并且需要进一步研究以阐明non-HDL与T2D之间关联的潜在病理生理机制。