Literature DB >> 24841432

Identifying subgroups of obesity using the product of triglycerides and glucose: the Korea National Health and Nutrition Examination Survey, 2008-2010.

Seung-Hwan Lee1, Kyungdo Han, Hae Kyung Yang, Mee Kyoung Kim, Kun-Ho Yoon, Hyuk-Sang Kwon, Yong-Moon Park.   

Abstract

OBJECTIVE: To determine whether the TyG index, a product of the levels of triglycerides and glucose, may be a valuable marker for identifying metabolically obese but normal weight (MONW) or metabolically healthy but obese (MHO) individuals. DESIGN AND
SUBJECTS: A total of 17 029 nondiabetic subjects (7185 men and 9844 women) were selected from the Korea National Health and Nutrition Examination Survey conducted in 2008-2010. Individuals with a normal body mass index (BMI) (≥18·5 and <23 kg/m(2) ) and the highest quartile of the homoeostasis model assessment of insulin resistance (HOMA-IR) were classified as MONW. Individuals with obesity (BMI ≥25 kg/m(2) ) and the lowest quartile of HOMA-IR were classified as MHO. MEASUREMENTS: The TyG index was calculated as ln[fasting triglycerides (mg/dl) × fasting glucose (mg/dl)/2].
RESULTS: The levels of the TyG index paralleled with various metabolic risk parameters. The index was significantly higher in the MONW group and lower in the MHO group when compared with the non-MONW group and the non-MHO group, respectively. The odds ratios (ORs) of being categorized into the MONW group were approximately fourfold higher in the highest vs lowest quartiles of the TyG index (3·999: 95% CI, 2·508-6·376 in men; 4·737: 95% CI, 3·418-6·565 in women) among normal weight subjects. Conversely, there was a stepwise decrease in the OR of being categorized into the MHO group across the TyG index quartiles among obese subjects.
CONCLUSIONS: These data highlight the value of the TyG index in discriminating those subjects with higher risks of metabolic diseases.
© 2014 John Wiley & Sons Ltd.

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Year:  2014        PMID: 24841432     DOI: 10.1111/cen.12502

Source DB:  PubMed          Journal:  Clin Endocrinol (Oxf)        ISSN: 0300-0664            Impact factor:   3.478


  30 in total

1.  The triglycerides and glucose index is associated with cardiovascular risk factors in normal-weight children and adolescents.

Authors:  Luis E Simental-Mendía; Gabriela Hernández-Ronquillo; Rita Gómez-Díaz; Martha Rodríguez-Morán; Fernando Guerrero-Romero
Journal:  Pediatr Res       Date:  2017-08-30       Impact factor: 3.756

2.  Mediterranean diet and mortality risk in metabolically healthy obese and metabolically unhealthy obese phenotypes.

Authors:  Y-M Park; S E Steck; T T Fung; J Zhang; L J Hazlett; K Han; A T Merchant
Journal:  Int J Obes (Lond)       Date:  2016-06-24       Impact factor: 5.095

3.  Validity of triglyceride-glucose index as an indicator for metabolic syndrome in children and adolescents: the CASPIAN-V study.

Authors:  Pooneh Angoorani; Ramin Heshmat; Hanieh-Sadat Ejtahed; Mohammad Esmaeil Motlagh; Hasan Ziaodini; Majzoubeh Taheri; Tahereh Aminaee; Azam Goodarzi; Mostafa Qorbani; Roya Kelishadi
Journal:  Eat Weight Disord       Date:  2018-02-16       Impact factor: 4.652

Review 4.  New obesity classification criteria as a tool for bariatric surgery indication.

Authors:  Antonino De Lorenzo; Laura Soldati; Francesca Sarlo; Menotti Calvani; Nicola Di Lorenzo; Laura Di Renzo
Journal:  World J Gastroenterol       Date:  2016-01-14       Impact factor: 5.742

5.  The Triglyceride-Glucose Index is Associated with Diabetic Retinopathy in Chinese Patients with Type 2 Diabetes: A Hospital-Based, Nested, Case-Control Study.

Authors:  Litong Yao; Xinyu Wang; Yifan Zhong; Yan Wang; Jingyang Wu; Jin Geng; Yun Zhou; Jun Chen; Peng Guan; Yingying Xu; Lei Chen; Lei Liu; Yuedong Hu
Journal:  Diabetes Metab Syndr Obes       Date:  2021-04-09       Impact factor: 3.168

6.  TyG Index Change Is More Determinant for Forecasting Type 2 Diabetes Onset Than Weight Gain.

Authors:  David Navarro-González; Laura Sánchez-Íñigo; Alejandro Fernández-Montero; Juan Pastrana-Delgado; Jose Alfredo Martinez
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

7.  Differential Association of Metabolic Risk Factors with Open Angle Glaucoma according to Obesity in a Korean Population.

Authors:  Hyun-Ah Kim; Kyungdo Han; Yun-Ah Lee; Jin A Choi; Yong-Moon Park
Journal:  Sci Rep       Date:  2016-12-22       Impact factor: 4.379

8.  A novel criterion for identifying metabolically obese but normal weight individuals using the product of triglycerides and glucose.

Authors:  S-H Lee; K Han; H K Yang; H-S Kim; J-H Cho; H-S Kwon; Y-M Park; B-Y Cha; K-H Yoon
Journal:  Nutr Diabetes       Date:  2015-04-27       Impact factor: 5.097

9.  Triglyceride Glucose-Body Mass Index Is a Simple and Clinically Useful Surrogate Marker for Insulin Resistance in Nondiabetic Individuals.

Authors:  Leay-Kiaw Er; Semon Wu; Hsin-Hua Chou; Lung-An Hsu; Ming-Sheng Teng; Yu-Chen Sun; Yu-Lin Ko
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

10.  Changes in Metabolic Health Status Over Time and Risk of Developing Type 2 Diabetes: A Prospective Cohort Study.

Authors:  Seung-Hwan Lee; Hae Kyung Yang; Hee-Sung Ha; Jin-Hee Lee; Hyuk-Sang Kwon; Yong-Moon Park; Hyeon-Woo Yim; Moo-Il Kang; Won-Chul Lee; Ho-Young Son; Kun-Ho Yoon
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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