Zhongguo quanke yixue (Oct 2023)

Relationship between Triglyceride-glucose Index and Risk of Cardiovascular Diseases in Middle-aged Obese Residents of Different Genders

  • PAN Yaojia, WANG Weiqiang, YI Weizhuo, GAO Bing, FU Fanglin, HAN Zheng, SUN Meng, DONG Yaqin, GU Huaicong

DOI
https://doi.org/10.12114/j.issn.1007-9572.2022.0891
Journal volume & issue
Vol. 26, no. 29
pp. 3628 – 3635

Abstract

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Background Triglyceride-glucose (TyG) index is an index to evaluate insulin resistance (IR) and obesity-related metabolic diseases, which is closely related to the high risk of cardiovascular disease (CVD). However, TyG index may be different from the high risk of CVD in middle-aged obese people of different genders. Objective To investigate the relationship between TyG index and the high risk of CVD in middle-aged obese people of different genders, and to evaluate its role in the prevention and treatment of CVD. Methods A total of 30 425 middle-aged obese residents were selected from 10 early screening and comprehensive intervention projects of high-risk CVD population in Anhui Province and investigated by investigators who were trained and qualified, using the preliminary screening questionnaire and basic information registration form designed by the National Cardiovascular Center. The main survey contents included gender, age, hypertension, dyslipidemia, diabetes, smoking and alcohol consumption, etc, and perform a CVD high-risk assessment. The included residents were divided into the male group (n=11 566) and female group (n=18 859). The male group was divided into T1 (7.417-8.870) (n=2 892), T2 (8.871-9.204) (n=2 891), T3 (9.205-9.578) (n=2 892) and T4 (9.579-11.435) (n=2 891) subgroups, the female group was divided into F1 (7.579-8.876) (n=4 715), F2 (8.877-9.183) (n=4 720), F3 (9.184-9.526) (n=4 710) and F4 (9.527-11.647) (n=4 714) subgroups according to the quartiles of TyG index. Binary Logistic regression analysis was used to explore the relationship between TyG index and the high risk of CVD, and Z-test was used to compare the differences in effect values among subgroups. Results The high risk rate of CVD was 28.4% (3 280/11 566) in the male group and 26.0% (4 909/18 859) in the female group. Binary Logistic regression analysis showed that TyG index T2 (F2), T3 (F3), T4 (F4) in male group (female group) were correlated with the high risk of CVD (P<0.05), and the correlation with the high risk of CVD increased with the gradual increase of TyG index. In the male group, the risk of developing high risk of CVD in the T4 subgroup compared to T1 was OR (95%CI) =1.827 (1.622, 2.058) ; In the female group, the risk of developing high risk of CVD in the F4 subgroup compared to F1 was OR (95%CI) =1.552 (1.410, 1.708). There were significant differences in the TyG index and risk of developing high risk of CVD between the T4 and F4 subgroups in both male and female groups (P<0.05). After further adjustment for total cholesterol and other indicators (model 2), the correlation between T2 (F2), T3 (F3), T4 (F4) and the risk of developing high risk of CVD was attenuated. However, in both male and female groups, T2 (F2), T3 (F3) and T4 (F4) were all correlated with the high risk of CVD (P<0.05), and the correlation increased with the gradual increase of TyG index level. In the male group, the risk of developing high risk of CVD in the T4 subgroup compared to T1 subgroup was OR (95%CI) =1.804 (1.584, 2.055), in the female group, the risk of developing high risk of CVD in the F4 subgroup compared to F1 subgroup was OR (95%CI) =1.496 (1.345, 1.665) ; There were significant differences in the risk of developing high risk of CVD between the T4 and F4 subgroup in both male and female groups (P<0.05) . Conclusion Middle-aged obese men with high TyG index are more prone to develop high risk for CVD, and more attention should be paid to the TyG index level of the population.

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