Longitudinal triglyceride and HDL cholesterol, but not LDL cholesterol associated with the risk of incident type 2 diabetes: Evidence from a multi-trajectory analysis
IF 3 3区 医学Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
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引用次数: 0
Abstract
Purpose
There are inconsistent findings regarding the associations between lipids and type 2 diabetes mellitus (T2DM), partially due to ignoring the joint effects of longitudinal patterns in lipids simultaneously. This study aimed to investigate the association of joint multi-trajectory of different lipids with the risk of type 2 diabetes.
Methods
We enrolled 71,043 participants free of T2DM from the Kailuan study. Using group-based multi-trajectory modeling, joint multi-trajectory of triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) during 2006–2010 was developed to predict the risk of T2DM during 2010–2019.
Results
Five distinct multi-trajectory groups were identified over 4-year exposure, and 6473 (9.11 %) cases of incident T2DM occurred during a median follow-up of 8.97 years. The highest risk of T2DM was observed in Group 5 with the highest level of TG, optimal-increasing LDL, and high-increasing HDL-C (hazard ratio [HR], 2.14; 95 % confidence interval [CI], 1.89–2.41), followed by Group 3 with the lowest level of HDL-C and an optimal TG and LDL-C (HR, 1.39; 95 % CI, 1.11–1.43), and Group 4 with the highest level of LDL-C, optimal-increasing TG and high-increasing HDL-C (HR, 1,26; 95 % CI, 1.11–1.43), compared to Group 2 with the lowest level of TG and optimal-increasing LDL-C and high-increasing HDL-C. The observed associations existed regardless of baseline lipid levels.
Conclusion
Our results showed the important role of high-increasing TG and low-decreasing HDL-C, rather than high-increasing LDL-C in the development of T2DM, which would help better understand the heterogeneous risk of T2DM and facilitate targeted prevention programs.
期刊介绍:
The journal emphasizes the application of epidemiologic methods to issues that affect the distribution and determinants of human illness in diverse contexts. Its primary focus is on chronic and acute conditions of diverse etiologies and of major importance to clinical medicine, public health, and health care delivery.