Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study
Abstract Aims We intended to characterize the superiority of triglyceride glucose‐body mass index (TyG‐BMI) in predicting type 2 diabetes mellitus (T2DM) compared with triglyceride glucose (TyG) and homeostatic model assessment for insulin resistance (HOMA‐IR). Methods A total of 699 nondiabetic par...
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Wiley
2024-10-01
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| Series: | Journal of Diabetes |
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| Online Access: | https://doi.org/10.1111/1753-0407.70001 |
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| author | Haixu Wang Siyao He Jinping Wang Xin Qian Bo Zhang Zhiwei Yang Bo Chen Guangwei Li Qiuhong Gong for the Da Qing Diabetes Prevention Outcome Study Group |
| author_facet | Haixu Wang Siyao He Jinping Wang Xin Qian Bo Zhang Zhiwei Yang Bo Chen Guangwei Li Qiuhong Gong for the Da Qing Diabetes Prevention Outcome Study Group |
| author_sort | Haixu Wang |
| collection | DOAJ |
| description | Abstract Aims We intended to characterize the superiority of triglyceride glucose‐body mass index (TyG‐BMI) in predicting type 2 diabetes mellitus (T2DM) compared with triglyceride glucose (TyG) and homeostatic model assessment for insulin resistance (HOMA‐IR). Methods A total of 699 nondiabetic participants in the Da Qing IGT and Diabetes Study were involved in the present analysis and classified according to the median of baseline TyG‐BMI, namely the G1 (low TyG‐BMI) and G2 (high TyG‐BMI) groups. Information on developing diabetes was assessed from 1986 to 2020. Results During the 34‐year follow‐up, after adjustment for confounders, the G2 group had a higher risk of developing type 2 diabetes than the G1 group (hazard ratio [HR]: 1.92, 95% confidence interval [CI]: 1.51–2.45, p < 0.0001). Restricted cubic spline analyses showed that increased TyG‐BMI was linearly related to higher risks of type 2 diabetes (p for non‐linearity>0.05). Time‐dependent receiver operator characteristics curves suggested that TyG‐BMI exhibited higher predictive ability than TyG (6‐year: area under the curve [AUC]TyG‐BMI vs. AUCTyG, 0.78 vs. 0.70, p = 0.03; 34‐year: AUCTyG‐BMI vs. AUCTyG, 0.79 vs. 0.73, p = 0.04) and HOMA‐IR (6‐year: AUCTyG‐BMI vs. AUCHOMA‐IR, 0.78 vs. 0.70, p = 0.07; 34‐year: AUCTyG‐BMI vs. AUCHOMA‐IR, 0.79 vs. 0.71, p = 0.04) in both short and long terms, and the thresholds of TyG‐BMI to predict type 2 diabetes were relatively stable (195.24–208.41) over the 34‐year follow‐up. Conclusions In this post hoc study, higher TyG‐BMI was associated with an increased risk of type 2 diabetes and demonstrated better predictability than TyG and HOMA‐IR, favoring the application of TyG‐BMI as a potential tool for evaluating the risk of type 2 diabetes in clinical practice. |
| format | Article |
| id | doaj-art-edf6b0092c4c4bb88c5fd1eb9268bfa2 |
| institution | Kabale University |
| issn | 1753-0393 1753-0407 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Wiley |
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| series | Journal of Diabetes |
| spelling | doaj-art-edf6b0092c4c4bb88c5fd1eb9268bfa22024-12-26T11:52:04ZengWileyJournal of Diabetes1753-03931753-04072024-10-011610n/an/a10.1111/1753-0407.70001Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes StudyHaixu Wang0Siyao He1Jinping Wang2Xin Qian3Bo Zhang4Zhiwei Yang5Bo Chen6Guangwei Li7Qiuhong Gong8for the Da Qing Diabetes Prevention Outcome Study GroupCenter of Endocrinology, National Center of Cardiology &Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaCenter of Endocrinology, National Center of Cardiology &Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Cardiology Da Qing Oilfield General Hospital Da Qing ChinaCenter of Endocrinology, National Center of Cardiology &Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaDepartment of Endocrinology China‐Japan Friendship Hospital Beijing ChinaDepartment of Cardiology Da Qing Oilfield General Hospital Da Qing ChinaDivision of Non‐Communicable Disease Control and Community Health Chinese Center for Disease Control and Prevention Beijing ChinaCenter of Endocrinology, National Center of Cardiology &Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaCenter of Endocrinology, National Center of Cardiology &Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing ChinaAbstract Aims We intended to characterize the superiority of triglyceride glucose‐body mass index (TyG‐BMI) in predicting type 2 diabetes mellitus (T2DM) compared with triglyceride glucose (TyG) and homeostatic model assessment for insulin resistance (HOMA‐IR). Methods A total of 699 nondiabetic participants in the Da Qing IGT and Diabetes Study were involved in the present analysis and classified according to the median of baseline TyG‐BMI, namely the G1 (low TyG‐BMI) and G2 (high TyG‐BMI) groups. Information on developing diabetes was assessed from 1986 to 2020. Results During the 34‐year follow‐up, after adjustment for confounders, the G2 group had a higher risk of developing type 2 diabetes than the G1 group (hazard ratio [HR]: 1.92, 95% confidence interval [CI]: 1.51–2.45, p < 0.0001). Restricted cubic spline analyses showed that increased TyG‐BMI was linearly related to higher risks of type 2 diabetes (p for non‐linearity>0.05). Time‐dependent receiver operator characteristics curves suggested that TyG‐BMI exhibited higher predictive ability than TyG (6‐year: area under the curve [AUC]TyG‐BMI vs. AUCTyG, 0.78 vs. 0.70, p = 0.03; 34‐year: AUCTyG‐BMI vs. AUCTyG, 0.79 vs. 0.73, p = 0.04) and HOMA‐IR (6‐year: AUCTyG‐BMI vs. AUCHOMA‐IR, 0.78 vs. 0.70, p = 0.07; 34‐year: AUCTyG‐BMI vs. AUCHOMA‐IR, 0.79 vs. 0.71, p = 0.04) in both short and long terms, and the thresholds of TyG‐BMI to predict type 2 diabetes were relatively stable (195.24–208.41) over the 34‐year follow‐up. Conclusions In this post hoc study, higher TyG‐BMI was associated with an increased risk of type 2 diabetes and demonstrated better predictability than TyG and HOMA‐IR, favoring the application of TyG‐BMI as a potential tool for evaluating the risk of type 2 diabetes in clinical practice.https://doi.org/10.1111/1753-0407.70001Da Qing Studypredictabilitytriglyceride glucose‐body mass indextype 2 diabetes |
| spellingShingle | Haixu Wang Siyao He Jinping Wang Xin Qian Bo Zhang Zhiwei Yang Bo Chen Guangwei Li Qiuhong Gong for the Da Qing Diabetes Prevention Outcome Study Group Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study Journal of Diabetes Da Qing Study predictability triglyceride glucose‐body mass index type 2 diabetes |
| title | Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study |
| title_full | Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study |
| title_fullStr | Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study |
| title_full_unstemmed | Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study |
| title_short | Assessing and predicting type 2 diabetes risk with triglyceride glucose‐body mass index in the Chinese nondiabetic population—Data from long‐term follow‐up of Da Qing IGT and Diabetes Study |
| title_sort | assessing and predicting type 2 diabetes risk with triglyceride glucose body mass index in the chinese nondiabetic population data from long term follow up of da qing igt and diabetes study |
| topic | Da Qing Study predictability triglyceride glucose‐body mass index type 2 diabetes |
| url | https://doi.org/10.1111/1753-0407.70001 |
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