Triglyceride glucose (TyG) index as a predictor of incident type 2 diabetes among nonobese adults: a 12-year longitudinal study of the Korean Genome and Epidemiology Study cohort

Byoungjin Park, Hye Sun Lee, Yong Jae Lee

Research output: Contribution to journalArticle

Abstract

The rate of undiagnosed type 2 diabetes tends to increase in lean Koreans, while the triglyceride glucose (TyG) index has been proposed as a surrogate marker of peripheral insulin resistance. We investigated the longitudinal relationship between TyG and incident type 2 diabetes among apparently healthy Korean adults. We assessed 4285 lean adults without diabetes aged 40–69 years from the Korean Genome and Epidemiology Study. Participants were divided into 4 groups according to quartiles of TyG index, calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. We prospectively assessed the hazard ratios (HRs) with 95% confidence intervals (CIs) for incident type 2 diabetes, based on the American Diabetes Association criteria, using multivariate Cox proportional hazards regression models, over 12 years after the baseline survey. During the follow-up period, 631 (14.7%) participants had newly developed type 2 diabetes. The HRs of incident type 2 diabetes in each TyG index quartile were 1.00, 1.63 (95%CI, 1.18–2.24), 2.30 (95%CI, 1.68–3.14), and 3.67 (95%CI, 2.71–4.98), respectively, after adjusting for age, sex, body mass index, waist circumference, smoking status, alcohol intake, and physical activity. Higher TyG index precedes and significantly predicts type 2 diabetes among community-dwelling middle aged and elderly lean Koreans.

Original languageEnglish
JournalTranslational Research
DOIs
Publication statusAccepted/In press - 2020

Bibliographical note

Funding Information:
This work has no sources of financial support for research. The authors would like to express their heartfelt gratitude to the participants and survey staff of the Korean Genome and Epidemiology Study (KoGES) for contributing to the present study.

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Biochemistry, medical
  • Physiology (medical)

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