PMID- 33490240
OWN - NLM
STAT- MEDLINE
DCOM- 20210517
LR  - 20210517
IS  - 2314-6141 (Electronic)
IS  - 2314-6133 (Print)
VI  - 2020
DP  - 2020
TI  - Association between Triglyceride-Glucose Index and Type 2 Diabetes Mellitus in 
      the Japanese Population: A Secondary Analysis of a Retrospective Cohort Study.
PG  - 2947067
LID - 10.1155/2020/2947067 [doi]
LID - 2947067
AB  - Triglyceride-glucose index (TyG index) is associated with type 2 diabetes 
      mellitus (T2DM), but research on this relationship is limited in Japan. The 
      purpose of this study was to evaluate the correlation between TyG index and the 
      risk of T2DM in the Japanese population. Here, 12732 participants were selected 
      from the NAGALA study (NAfld in the Gifu Area, Longitudinal Analysis) conducted 
      between 2004 and 2015 for a retrospective cohort analysis. The association 
      between TyG index and T2DM was assessed using the Cox proportional-hazard model. 
      Subgroup analyses were conducted according to age, sex, smoking status, alcohol 
      consumption, waist circumference, BMI, and follow-up duration. The formula for 
      TyG index was expressed as ln [fasting triglyceride level (mg/dL) x 
      fasting plasma glucose level (mg/dL)/2]. After follow-up, 150 (1.18%) patients 
      developed T2DM. After adjusting for potential confounders, a linear relationship 
      was observed between TyG and the risk of T2DM. After adjusting for age, sex, BMI, 
      waist circumference, HDL-cholesterol, total cholesterol, systolic blood pressure, 
      regular exercise, smoking status, and alcohol consumption, TyG index, as a 
      continuous variable, was associated with an increased risk of T2DM (adjusted 
      hazard ratio (aHR), 1.79; 95% confidence interval (95% CI), 1.25-2.57). Compared 
      with the first quartile of TyG index, subjects in the fourth quartile were 
      2.33-fold more likely to develop T2DM (aHR 2.33, 95% CI 1.09-4.96; P for trend 
      0.0224). Subgroup analyses showed that the association between TyG index and 
      incident T2DM stably existed in different subgroups according to the variables 
      tested. Therefore, TyG index was linearly related to the risk of incident T2DM in 
      the Japanese population and may be used as a monitoring tool.
CI  - Copyright (c) 2020 En-qian Liu et al.
FAU - Liu, En-Qian
AU  - Liu EQ
AUID- ORCID: 0000-0002-1611-8965
AD  - Department of Cardiology, Lishui Hospital, Zhejiang University School of 
      Medicine, Lishui, 323000 Zhejiang, China.
FAU - Weng, Ya-Ping
AU  - Weng YP
AD  - Department of Gastroenterology, Lishui Hospital, Zhejiang University School of 
      Medicine, Lishui, 323000 Zhejiang, China.
FAU - Zhou, Ai-Ming
AU  - Zhou AM
AD  - Department of Critical Medicine, The First Affiliated Hospital of Wenzhou Medical 
      University, Wenzhou, 325000 Zhejiang, China.
FAU - Zeng, Chun-Lai
AU  - Zeng CL
AUID- ORCID: 0000-0001-5674-1447
AD  - Department of Cardiology, Lishui Hospital, Zhejiang University School of 
      Medicine, Lishui, 323000 Zhejiang, China.
LA  - eng
SI  - Dryad/10.5061/dryad.8q0p192
PT  - Journal Article
DEP - 20201211
PL  - United States
TA  - Biomed Res Int
JT  - BioMed research international
JID - 101600173
RN  - 0 (Triglycerides)
RN  - IY9XDZ35W2 (Glucose)
SB  - IM
MH  - Adult
MH  - Diabetes Mellitus, Type 2/*blood/*epidemiology
MH  - Female
MH  - Glucose/*analysis
MH  - Humans
MH  - Japan/epidemiology
MH  - Male
MH  - Middle Aged
MH  - Retrospective Studies
MH  - Risk Factors
MH  - Triglycerides/*blood
PMC - PMC7787715
COIS- All authors report that they have no conflicts of interest.
EDAT- 2021/01/26 06:00
MHDA- 2021/05/18 06:00
PMCR- 2020/12/11
CRDT- 2021/01/25 05:45
PHST- 2020/08/01 00:00 [received]
PHST- 2020/12/01 00:00 [revised]
PHST- 2020/12/02 00:00 [accepted]
PHST- 2021/01/25 05:45 [entrez]
PHST- 2021/01/26 06:00 [pubmed]
PHST- 2021/05/18 06:00 [medline]
PHST- 2020/12/11 00:00 [pmc-release]
AID - 10.1155/2020/2947067 [doi]
PST - epublish
SO  - Biomed Res Int. 2020 Dec 11;2020:2947067. doi: 10.1155/2020/2947067. eCollection 
      2020.