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  • TyG-waist to height...

TyG-waist to height ratio strong predictor of metabolic syndrome, reveals study

Medha BaranwalWritten by Medha Baranwal Published On 2022-03-19T10:00:36+05:30  |  Updated On 19 March 2022 4:24 AM GMT
TyG-waist to height ratio strong predictor of metabolic syndrome, reveals study
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China: The product of triglycerides and glucose index (TyG) and waist-to-height ratio (WHtR) was shown to be a strong and independent predictor for metabolic syndrome (Mets) in an urban Chinese population, says a recent study with a follow-up of 15 years. The findings revealed that TyG-related risk factors that combine obesity measures with the TyG index are superior to other parameters...

China: The product of triglycerides and glucose index (TyG) and waist-to-height ratio (WHtR) was shown to be a strong and independent predictor for metabolic syndrome (Mets) in an urban Chinese population, says a recent study with a follow-up of 15 years. The findings revealed that TyG-related risk factors that combine obesity measures with the TyG index are superior to other parameters in identifying metabolic syndrome in both genders. 

The study was published on Research Square as a preprint that has not yet been peer-reviewed and is under consideration at Diabetology & Metabolic Syndrome. 

Metabolic syndrome is characterized by hypertension, abdominal obesity, abnormal glucose metabolism, dyslipidemia, or previously diagnosed type 2 diabetes. It is associated with an elevated risk for atherosclerosis and cardiovascular disease. The TyG index that combines fasting plasma glucose and fasting triglycerides is a potential surrogate marker for insulin resistance -- a major player in the development of Mets. 

Recent research has focused on the predictive value of bundled parameters including the product of the TyG index when combined with waist circumference (TyG-WC), waist-to-hip ratio (TyG-WHpR), or waist-to-height ratio (TyG-WHtR). 

Considering the above, Xin Zhang, West China School of Medicine: Sichuan University West China Hospital, China, and colleagues aimed to assess the association of the Mets with TyG index and TyG-related parameters in an urban Chinese population. 

For this purpose, the researchers collected data in 1992 and then again in 2007 from the same group of 590 individuals (363 males and 227 females ) without Mets in 1992. 

The findings of the study were as follows:

  • During 15 years' follow-up, TyG-waist to height ratio (TyG-WHtR) shows the largest AUC for MS detection (0.686) followed by TyG-waist circumference (TyG-WC) (0.660), TyG-waist-to-hip ratio (TyG-WHpR) (0.564), and TyG index (0.556) in all participants. Gender analysis revealed that TyG-WHtR and TyG-WC have the largest AUC in both genders.
  • TyG-WHtR significantly predicted Mets in all participants, with an unadjusted odds ratio of 5.63.
  • Associations remained significant after adjustment for smoking, drinking, physical exercise, and components of Mets.

To sum up, the product of the TyG and WHtR accounted for 68.6% of the risk for metabolic syndrome (area under the receiver operating characteristic curve [AUC] of 0.686) in an urban Chinese population.

Reference:

The preprint research study titled, "Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study," was published in Research Square. 

DOI: 10.21203/rs.3.rs-1375029/v1

KEYWORDS: Research Square, metabolic syndrome, obesity, waist to hip ratio, waist circumference, TyG index, cardiovascular disease, hypertension, Xin Zhang, Diabetology & Metabolic Syndrome


Research Squaremetabolic syndromeTyG index
Source : Research Square
Medha Baranwal
Medha Baranwal

    MSc. Biotechnology

    Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at  editorial@medicaldialogues.in. Contact no. 011-43720751

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