PMID- 36530590
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20221221
IS  - 1178-7007 (Print)
IS  - 1178-7007 (Electronic)
IS  - 1178-7007 (Linking)
VI  - 15
DP  - 2022
TI  - Association of Non-Insulin-Based Insulin Resistance Indices with Risk of Incident 
      Prediabetes and Diabetes in a Chinese Rural Population: A 12-Year Prospective 
      Study.
PG  - 3809-3819
LID - 10.2147/DMSO.S385906 [doi]
AB  - OBJECTIVE: Three non-insulin-based insulin resistance (IR) indices, ie, 
      triglyceride-glucose (TyG) index, triglyceride-to-high-density lipoprotein 
      cholesterol (TG/HDL-C) ratio, and metabolic score for IR (METS-IR), were 
      considered powerful and simplified alternatives for IR. However, evidence for the 
      association between the three IR indices and incident type 2 diabetes mellitus 
      (T2DM), especially impaired fasting glucose (IFG), remains limited. Therefore, 
      this study aimed to explore the association among IR indices, incident IFG, and 
      T2DM in a rural population cohort. METHODS: We analyzed data from 2209 adults 
      (aged 24-75 years) at baseline and from 1205 normoglycemic participants who were 
      followed up. Cox proportional hazards models were used to evaluate the 
      associations between the three indices and IFG or T2DM. Restricted cubic spline 
      curves based on the Cox regression model were used to examine the association 
      between baseline indices and incident T2DM. RESULTS: For the baseline data, 
      logistic analyses demonstrated that the TyG index, TG/HDL-C ratio, and METS-IR 
      had a significantly positive correlation with IFG or T2DM after multivariable 
      adjustment. During a median follow-up of 12.17 years, 157 incident cases of IFG 
      and 97 incident cases of T2DM were noted. The risk of T2DM, but not IFG, was 
      strongly associated with the baseline TyG index in the adjusted model, and 
      participants with the TyG index in the third tertile had a higher risk of 
      developing T2DM (adjusted hazards ratio, 2.84; 95% confidence intervals, 
      1.26-6.37; p for trend <0.001) than those in the lowest tertile (reference). 
      Moreover, a linear relationship was observed between the TyG index and T2DM 
      incidence. The TG/HDL-C ratio and METS-IR had no significant relationship with 
      the risk of IFG or T2DM. CONCLUSION: The TyG index is more useful than the 
      TG/HDL-C ratio and METS-IR in predicting T2DM in the normoglycemic population.
CI  - (c) 2022 Li et al.
FAU - Li, Xiaoxia
AU  - Li X
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
AD  - Key Laboratory of Environmental Factors and Chronic Disease Control, School of 
      Public Health and Management of Ningxia Medical University, Yinchuan, People's 
      Republic of China.
FAU - Xue, Yixuan
AU  - Xue Y
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
FAU - Dang, Yuanyuan
AU  - Dang Y
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
FAU - Liu, Wanlu
AU  - Liu W
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
FAU - Wang, Qingan
AU  - Wang Q
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
AD  - Key Laboratory of Environmental Factors and Chronic Disease Control, School of 
      Public Health and Management of Ningxia Medical University, Yinchuan, People's 
      Republic of China.
FAU - Zhao, Yi
AU  - Zhao Y
AUID- ORCID: 0000-0002-0958-0350
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
AD  - Key Laboratory of Environmental Factors and Chronic Disease Control, School of 
      Public Health and Management of Ningxia Medical University, Yinchuan, People's 
      Republic of China.
FAU - Zhang, Yuhong
AU  - Zhang Y
AD  - Department of Epidemiology and Health Statistics, School of Public Health and 
      Management of Ningxia Medical University, Yinchuan, People's Republic of China.
AD  - Key Laboratory of Environmental Factors and Chronic Disease Control, School of 
      Public Health and Management of Ningxia Medical University, Yinchuan, People's 
      Republic of China.
LA  - eng
PT  - Journal Article
DEP - 20221212
PL  - New Zealand
TA  - Diabetes Metab Syndr Obes
JT  - Diabetes, metabolic syndrome and obesity : targets and therapy
JID - 101515585
PMC - PMC9756794
OTO - NOTNLM
OT  - impaired fasting glucose
OT  - metabolic score for insulin resistance
OT  - triglyceride-glucose index
OT  - triglyceride-to-high-density lipoprotein cholesterol
OT  - type 2 diabetes mellitus
COIS- The authors report no conflicts of interest in this work.
EDAT- 2022/12/20 06:00
MHDA- 2022/12/20 06:01
PMCR- 2022/12/12
CRDT- 2022/12/19 03:32
PHST- 2022/08/11 00:00 [received]
PHST- 2022/12/06 00:00 [accepted]
PHST- 2022/12/19 03:32 [entrez]
PHST- 2022/12/20 06:00 [pubmed]
PHST- 2022/12/20 06:01 [medline]
PHST- 2022/12/12 00:00 [pmc-release]
AID - 385906 [pii]
AID - 10.2147/DMSO.S385906 [doi]
PST - epublish
SO  - Diabetes Metab Syndr Obes. 2022 Dec 12;15:3809-3819. doi: 10.2147/DMSO.S385906. 
      eCollection 2022.