Volume 13, Issue 5 pp. 402-412
ORIGINAL ARTICLE

Association of TG/HDLC ratio trajectory and risk of type 2 diabetes: A retrospective cohort study in China

TG/HDL-C比值变化轨迹与2型糖尿病发病风险的关系:一项中国回顾性队列研究

Yanyan Zhang

Yanyan Zhang

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Pei Qin

Pei Qin

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Yanmei Lou

Yanmei Lou

Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China

Search for more papers by this author
Ping Zhao

Ping Zhao

Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, People's Republic of China

Search for more papers by this author
Xue Li

Xue Li

Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, People's Republic of China

Search for more papers by this author
Ranran Qie

Ranran Qie

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Xiaoyan Wu

Xiaoyan Wu

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Minghui Han

Minghui Han

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Shengbing Huang

Shengbing Huang

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Yang Zhao

Yang Zhao

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Dechen Liu

Dechen Liu

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Yuying Wu

Yuying Wu

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Yang Li

Yang Li

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Xingjin Yang

Xingjin Yang

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Yang Zhao

Yang Zhao

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Yifei Feng

Yifei Feng

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, People's Republic of China

Search for more papers by this author
Changyi Wang

Changyi Wang

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Jianping Ma

Jianping Ma

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Xiaolin Peng

Xiaolin Peng

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Hongen Chen

Hongen Chen

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Dan Zhao

Dan Zhao

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Shan Xu

Shan Xu

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Li Wang

Li Wang

Department of Non-communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease, Shenzhen, People's Republic of China

Search for more papers by this author
Xinping Luo

Xinping Luo

School of Basic Medicine, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Ming Zhang

Ming Zhang

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Dongsheng Hu

Dongsheng Hu

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Search for more papers by this author
Fulan Hu

Corresponding Author

Fulan Hu

Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, People's Republic of China

Correspondence

Fulan Hu, Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.

Email: [email protected]

Search for more papers by this author
First published: 19 October 2020
Citations: 17

Funding information: Medical Research Foundation of Guangdong Province, Grant/Award Number: A2017181; Nanshan Science and Technology Innovation Bureau, Grant/Award Number: 2017057; National Natural Science Foundation of China, Grant/Award Numbers: 81373074, 81402752, 81673260; Natural Science Foundation of Guangdong Province, Grant/Award Number: 2017A030313452; Sanming Project of Medicine in NanShan district; Sanming Project of Medicine in Shenzhen, Grant/Award Number: SZSM201803080; Science and Technology Development Foundation of Shenzhen, Grant/Award Numbers: CYJ20140418091413562, JCYJ20160307155707264, JCYJ2

Abstract

en

Background

The association of ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDL-C ratio) change trajectory with risk of type 2 diabetes mellitus (T2DM) remains unknown. The aim of this study was to evaluate the association between risk of T2DM and TG/HDL-C ratio change trajectory.

Methods

A total of 18 444 participants aged 18-80 years old were included in this cohort study. Linear regression and quadratic regression models were used to determine the TG/HDL-C ratio change trajectory. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between TG/HDL-C ratio change trajectory and probability of T2DM.

Results

T2DM developed in 714 participants during a median follow-up of 5.74 years (92 076.23 person-years of follow-up). After adjusting for baseline potential confounders, odds of T2DM were greater for participants with the increasing, U-shape, bell-shape, and other shape change vs decreasing change (adjusted OR [aOR] 2.01, 95% CI 1.42-2.81; 1.56, 1.15-2.13; 1.60, 1.17-2.20; and 1.49, 1.13-2.00, respectively). The results were robust in the sensitivity analyses on excluding baseline participants with T2DM. Moreover, the associations remained significant with male sex, age <60 years and body mass index <24 kg/m2.

Conclusions

This retrospective study revealed increased probability of T2DM with increasing, U-shape, bell-shape, and other-shape TG/HDL-C ratio change trajectories, especially with male sex, age <60 years and body mass index <24 kg/m2.

摘要

zh

背景

三酰甘油与高密度脂蛋白胆固醇比值(Triglyceride/High-density Lipoprotein Cholesterol ratio, TG/HDL-C比值)变化轨迹与2型糖尿病(Type 2 Diabetes, T2DM)发病风险之间的关系尚不清楚。本研究旨在评估T2DM发病风险与TG/HDL-C比值变化轨迹之间的关系。

方法

该研究共纳入18444名18-80岁的研究对象, 使用线性回归和二次回归模型拟合TG/HDL-C比值变化轨迹。运用logistic回归估计TG/HDL-C比值变化轨迹与T2DM发病关联的比值比(Odds ratio, OR)和95%置信区间(Confidence Interval, CI)。

结果

在中位随访5.74年(92076.23人年)期间, 714名研究对象发生了T2DM。校正基线潜在混杂因素后, 与TG/HDL-C比值降低组相比, 增高组、U型组、钟形组和其他组T2DM的发病风险更高, 其OR和95%CI分别为:2.01, 1.42-2.81, 1.56, 1.15-2.13, 1.60, 1.17-2.20, 1.49, 1.13-2.00)。排除基线T2DM患者的敏感性分析结果依然稳定。此外, 该关联在男性、年龄<60岁和体重指数<24 kg/m2人群中仍然显著。

结论

该回顾性研究提示, 与TG/HDL-C比值降低组相比, 增高组、U型组、钟形组和其他组T2DM的发病风险增加, 尤其是在男性、年龄<60岁及体重指数<24 kg / m2人群中关联更为显著。

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.