PMID- 29322661
OWN - NLM
STAT- MEDLINE
DCOM- 20181211
LR  - 20221207
IS  - 1753-0407 (Electronic)
IS  - 1753-0407 (Linking)
VI  - 10
IP  - 8
DP  - 2018 Aug
TI  - Utility of three novel insulin resistance-related lipid indices for predicting 
      type 2 diabetes mellitus among people with normal fasting glucose in rural China.
PG  - 641-652
LID - 10.1111/1753-0407.12642 [doi]
AB  - BACKGROUND: Inexpensive and easily measured indices are needed for the early 
      prediction of type 2 diabetes mellitus (T2DM) in rural areas of China. The aim of 
      this study was to compare triglyceride glucose (TyG), visceral adiposity (VAI), 
      and lipid accumulation product (LAP) with traditional individual measures and 
      their ratios for predicting T2DM. METHODS: Data for 11 113 people with baseline 
      normal fasting glucose in a rural Chinese cohort were followed for a median of 
      6.0 years. Cox proportional hazards regression was used to calculate 
      covariate-adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) 
      and receiver operating characteristic analysis was used to compare the ability of 
      traditional measures and TyG, VAI, and LAP at baseline to predict T2DM at 
      follow-up. RESULTS: Among individual measures, fasting plasma glucose (FPG) and 
      waist circumference (WC) were strongly associated with T2DM. Of all lipid ratios, 
      an elevated triglycerides (TG) to high-density lipoprotein cholesterol (HDL-C) 
      ratio was associated the most with T2DM. Compared with the first quartiles of 
      TyG, VAI, and LAP, their fourth quartiles were associated with T2DM for men (aHR 
      3.54 [95% CI 2.08-6.03], 2.89 [1.72-4.87], and 5.02 [2.85-8.85], respectively) 
      and women (6.15 [3.48-10.85], 4.40 [2.61-7.42], and 6.49 [3.48-12.12], 
      respectively). For predicting T2DM risk, TyG, VAI, and LAP were mostly superior 
      to the TG:  HDL-C ratio, but did not differ from FPG and WC. CONCLUSIONS: 
      Prediction of T2DM was not improved by TyG, VAI, and LAP versus FPG or WC alone. 
      Therefore, TyG, VAI, and LAP may not be inexpensive tools for predicting T2DM in 
      rural Chinese people.
CI  - (c) 2018 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John 
      Wiley & Sons Australia, Ltd.
FAU - Wang, Bingyuan
AU  - Wang B
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Zhang, Ming
AU  - Zhang M
AD  - Department of Preventive Medicine, Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Liu, Yu
AU  - Liu Y
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Sun, Xizhuo
AU  - Sun X
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Zhang, Lu
AU  - Zhang L
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Wang, Chongjian
AU  - Wang C
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Li, Linlin
AU  - Li L
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Ren, Yongcheng
AU  - Ren Y
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
AD  - Department of Preventive Medicine, Shenzhen University Health Science Center, 
      Shenzhen, China.
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Han, Chengyi
AU  - Han C
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
AD  - Department of Preventive Medicine, Shenzhen University Health Science Center, 
      Shenzhen, China.
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Zhao, Yang
AU  - Zhao Y
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
AD  - Department of Preventive Medicine, Shenzhen University Health Science Center, 
      Shenzhen, China.
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Zhou, Junmei
AU  - Zhou J
AD  - Department of Preventive Medicine, Shenzhen University Health Science Center, 
      Shenzhen, China.
AD  - The Affiliated Luohu Hospital of Shenzhen University Health Science Center, 
      Shenzhen, China.
FAU - Pang, Chao
AU  - Pang C
AD  - Department of Prevention and Health Care, Military Hospital of Henan Province, 
      Zhengzhou, China.
FAU - Yin, Lei
AU  - Yin L
AD  - Department of Prevention and Health Care, Military Hospital of Henan Province, 
      Zhengzhou, China.
FAU - Feng, Tianping
AU  - Feng T
AD  - Department of Prevention and Health Care, Military Hospital of Henan Province, 
      Zhengzhou, China.
FAU - Zhao, Jingzhi
AU  - Zhao J
AD  - Department of Prevention and Health Care, Military Hospital of Henan Province, 
      Zhengzhou, China.
FAU - Hu, Dongsheng
AU  - Hu D
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
LA  - eng
PT  - Journal Article
DEP - 20180209
PL  - Australia
TA  - J Diabetes
JT  - Journal of diabetes
JID - 101504326
RN  - 0 (Blood Glucose)
RN  - 0 (Cholesterol, HDL)
RN  - 0 (Triglycerides)
SB  - IM
MH  - Adiposity
MH  - Adult
MH  - Asian People
MH  - Blood Glucose/analysis
MH  - China
MH  - Cholesterol, HDL/blood
MH  - Diabetes Mellitus, Type 2/*blood/*diagnosis/ethnology
MH  - Fasting/*blood
MH  - Female
MH  - Follow-Up Studies
MH  - Humans
MH  - Insulin Resistance
MH  - Intra-Abdominal Fat/metabolism
MH  - Lipid Accumulation Product
MH  - Male
MH  - Middle Aged
MH  - Rural Population/*statistics & numerical data
MH  - Triglycerides/blood
OTO - NOTNLM
OT  - cohort study
OT  - diabetes
OT  - fat accumulation
OT  - insulin resistance
OT  - lipid index
OT  - 糖尿病
OT  - 胰岛素抵抗
OT  - 脂肪堆积
OT  - 血脂指数
OT  - 队列研究
EDAT- 2018/01/13 06:00
MHDA- 2018/12/12 06:00
CRDT- 2018/01/12 06:00
PHST- 2017/07/10 00:00 [received]
PHST- 2017/12/17 00:00 [revised]
PHST- 2018/01/07 00:00 [accepted]
PHST- 2018/01/13 06:00 [pubmed]
PHST- 2018/12/12 06:00 [medline]
PHST- 2018/01/12 06:00 [entrez]
AID - 10.1111/1753-0407.12642 [doi]
PST - ppublish
SO  - J Diabetes. 2018 Aug;10(8):641-652. doi: 10.1111/1753-0407.12642. Epub 2018 Feb 
      9.