Cutoff point of TyG index for metabolic syndrome in Brazilian farmers

Ferreira, Júlia Rabelo Santos; Zandonade, Eliana; Bezerra, Olívia Maria de Paula Alves; Salaroli, Luciane Bresciani

doi:10.20945/2359-3997000000401

Cited by 6 publications

(6 citation statements)

References 44 publications

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“…In our present study, the average TyG index value was significantly higher among subjects diagnosed with MS when compared to those without MS. In addition, the average of TyG index also increased according to the aggregation of MS criteria, and a good correlation was detected between the TyG index and different adiposity and metabolic parameters, as it was also reported by other studies [26, 27]. Additionally, our present results have shown a correlation of TyG index as good HOMA-IR with various parameters of adiposity and cardiometabolic risk related with MS. For example, abdominal obesity, determined through the waist circumference, is one of the fundamental criteria of MS.…”

Section: Discussionsupporting

confidence: 91%

Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects

Primo¹,

Izaola²,

Luis³

2022

Ann Nutr Metab

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Background: Recently, the triglyceride-glucose (TyG) index has been suggested as a surrogate insulin resistance marker. This index could act as an early screening marker in individuals with high risk of Metabolic Syndrome (MS) such as obesity subjects. Aims: The objective of this work was to detect the cut-off point of the TyG index for the diagnosis of MS according to ATPIII criteria on obese subjects and to compare with HOMA-IR. Methods: We conducted a cross sectional study in 1494 obese subjects. Measurements of adiposity parameters, blood pressure, fasting blood glucose, insulin concentration, insulin resistance (HOMA-IR), lipid profile, C reactive protein, adipokines and prevalence of Metabolic Syndrome were determined. The TyG index was calculated from the next equation: Ln (fasting triglycerides (mg/dl) x fasting glucose (mg/dl))/2. Results: A total of 1494 subjects were recruited, 421 males (28.1%) and 1073 females (71.8%) with an average age of 45.8+15.3 years (range: 29-62). A total of 677 subjects had MS (45.5%) and 817 did not show MS (54.6%). The averages of HOMA-IR and TyG index values increased as the components of MS were aggregated and both indexes were higher in subjects with MS. The area under the curve (AUC) of TyG index according ATPIII criteria showed values of 0.746 (0.721-0.771:p=0.001). The cut-off point according to the Youden index was 4.72, with sentivity and specificity of 87% and 88.2%, respectively. For the HOMA-IR, the area under the curve (AUC) showed values of 0.682 (0.654-0.710:p=0.01). The cutoff point was 3.23, with sentivity and specificity of 78% and 70.1%, respectively. Conclusions: TyG index is more powerful for predicting MS than HOMA-IR in Caucasian obese subjects.

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Section: Discussionsupporting

confidence: 91%

Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects

Primo¹,

Izaola²,

Luis³

2022

Ann Nutr Metab

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“…Therefore, there must be an association between TyG-related factors and MetS. Ferreira et al ( 67 ) identified the TyG-related factors as an important tool for predicting MetS.…”

Section: Discussionmentioning

confidence: 99%

Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study

Gui

Liu

et al. 2023

Front. Public Health

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ObjectiveMetabolic syndrome is a common condition among middle-aged and elderly people. Recent studies have reported the association between obesity- and lipid-related indices and metabolic syndrome, but whether those conditions could predict metabolic syndrome is still inconsistent in a few longitudinal studies. In our study, we aimed to predict metabolic syndrome by obesity- and lipid-related indices in middle-aged and elderly Chinese adults.MethodA national cohort study that consisted of 3,640 adults (≥45 years) was conducted. A total of 13 obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), conicity index (CI), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), lipid accumulation product (LAP), a body shape index (ABSI), body roundness index (BRI), and triglyceride glucose index (TyG-index) and its correlation index (TyG-BMI, TyG-WC, and TyG-WHtR), were recorded. Metabolic syndrome (MetS) was defined based on the criteria of the National Cholesterol Education Program Adult Treatment Panel III (2005). Participants were categorized into two groups according to the different sex. Binary logistic regression analyses were used to evaluate the associations between the 13 obesity- and lipid-related indices and MetS. Receiver operating characteristic (ROC) curve studies were used to identify the best predictor of MetS.ResultsA total of 13 obesity- and lipid-related indices were independently associated with MetS risk, even after adjustment for age, sex, educational status, marital status, current residence, history of drinking, history of smoking, taking activities, having regular exercises, and chronic diseases. The ROC analysis revealed that the 12 obesity- and lipid-related indices included in the study were able to discriminate MetS [area under the ROC curves (AUC > 0.6, P < 0.05)] and ABSI was not able to discriminate MetS [area under the ROC curves (AUC < 0.6, P > 0.05)]. The AUC of TyG-BMI was the highest in men, and that of CVAI was the highest in women. The cutoff values for men and women were 187.919 and 86.785, respectively. The AUCs of TyG-BMI, CVAI, TyG-WC, LAP, TyG-WHtR, BMI, WC, WHtR, BRI, VAI, TyG index, CI, and ABSI were 0.755, 0.752, 0.749, 0.745, 0.735, 0.732, 0.730, 0.710, 0.710, 0.674, 0.646, 0.622, and 0.537 for men, respectively. The AUCs of CVAI, LAP, TyG-WC, TyG-WHtR, TyG-BMI, WC, WHtR, BRI, BMI, VAI, TyG-index, CI, and ABSI were 0.687, 0.674, 0.674, 0.663, 0.656, 0.654, 0.645, 0.645, 0.638, 0.632, 0.607, 0.596, and 0.543 for women, respectively. The AUC value for WHtR was equal to that for BRI in predicting MetS. The AUC value for LAP was equal to that for TyG-WC in predicting MetS for women.ConclusionAmong middle-aged and older adults, all obesity- and lipid-related indices, except ABSI, were able to predict MetS. In addition, in men, TyG-BMI is the best indicator to indicate MetS, and in women, CVAI is considered the best hand to indicate MetS. At the same time, TyG-BMI, TyG-WC, and TyG-WHtR performed better than BMI, WC, and WHtR in predicting MetS in both men and women. Therefore, the lipid-related index outperforms the obesity-related index in predicting MetS. In addition to CVAI, LAP showed a good predictive correlation, even more closely than lipid-related factors in predicting MetS in women. It is worth noting that ABSI performed poorly, was not statistically significant in either men or women, and was not predictive of MetS.

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“…In the pancreas, nutrient overload modifies the lipid metabolism, produces advanced glycation and lipoxidation end products, and leads to b-cell dysfunction (30), suggesting a close association between the glucolipid metabolism and b-cell function. TyG index is calculated using serum FBG and TG, which has been demonstrated as a novel marker for metabolic syndrome, insulin resistance, and cardiovascular diseases (13,31,32). However, the relationship between the TyG index and bcell function remains uncertain.…”

Section: Discussionmentioning

confidence: 99%

Elevated triglyceride-glucose (TyG) index predicts impaired islet β-cell function: A hospital-based cross-sectional study

Chen

Wen²

2022

Front. Endocrinol.

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ObjectiveTo explore the relationship between the TyG index and the insulin secretion function of pancreatic β-cells, and to determine the possibility of the TyG index in predicting β-cell dysfunction and the development of diabetes.MethodsA cross-sectional study was performed among 914 participants who took their annual health checkups at the Third Xiangya Hospital. The early- and late-phase pancreatic β-cell secretion was assessed based on the results of the oral glucose tolerance test (OGTT). In addition to anthropometric parameters and laboratory parameters, information about health-related habits and disease histories was obtained from the National Physical Examination Questionnaire. Partial correlation analysis was used to study the relationship between the TyG index and pancreatic β-cell function. The receiver operating characteristic (ROC) curve was used to calculate the cut-off points of the TyG index in predicting β-cell dysfunction. According to the OGTT results and medical history, the participants were categorized into three groups: the normal glucose tolerance group (NGT, n=276), the impaired glucose regulation group (IGT, n=323), and the diabetes group (DM, n=315). The correlation between the TyG index and β-cell function among the three groups and the association between the TyG index and glucose metabolic conditions were further explored.ResultsThe TyG index was negatively correlated with the indexes that reflect the early and late secretory function of β-cells, not only in the NGT group but also in the IGT and DM group. The minimum cut-off values for the TyG index to identify the risk of early- and late-phase β-cell dysfunction are 9.08 and 9.2 respectively. The TyG indexes of the IGT and DM group were higher than that of the NGT group, and with the growth of the TyG index, the risk of prediabetes and diabetes increased significantly.ConclusionIncreased TyG index is associated with impaired β-cell function regardless of the glucose metabolic conditions. The TyG index is an alternative indicator for predicting β-cell dysfunction.

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Cutoff point of TyG index for metabolic syndrome in Brazilian farmers

Cited by 6 publications

References 44 publications

Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects

Triglyceride-Glucose Index Cutoff Point Is an Accurate Marker for Predicting the Prevalence of Metabolic Syndrome in Obese Caucasian Subjects

Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study

Elevated triglyceride-glucose (TyG) index predicts impaired islet β-cell function: A hospital-based cross-sectional study

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