Daoyuan Wei, Weiqi Zhu, Xinyu Yang, Yuanxiang Liu, Jiguo Yang
{"title":"甘油三酯-葡萄糖-体重指数与中国绝经妇女未来心血管疾病风险之间的联系：一项全国性的前瞻性队列研究","authors":"Daoyuan Wei, Weiqi Zhu, Xinyu Yang, Yuanxiang Liu, Jiguo Yang","doi":"10.1016/j.exger.2025.112906","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The association between the triglyceride glucose-body mass (TyG-BMI) index and cardiovascular disease (CVD) risk in postmenopausal women remains unclear. This study examines this association in Chinese menopausal women to develop targeted risk assessment tools.</p><p><strong>Methods: </strong>Data from the 2011 and 2020 China Health and Retirement Longitudinal Study (CHARLS) included menopausal women aged ≥45 years. Multivariable logistic regression models assessed the association between TyG-BMI and CVD. Restricted cubic spline (RCS) regression tested nonlinearity, and stratified analyses evaluated effect modification.</p><p><strong>Results: </strong>Among 2405 participants, 609 (25.32 %) developed CVD. Each interquartile TyG-BMI (49.10) increase raised CVD risk by 28 % (OR = 1.28; 95 % CI: 1.07-1.53). A linear dose-response relationship existed for CVD (P-trend <0.05; P-nonlinearity >0.05). Marital status modified the association (P-interaction = 0.035), with no significant interactions in other subgroups. For CVD prediction, TyG-BMI (AUC = 0.645) outperformed TyG (AUC = 0.622).</p><p><strong>Conclusions: </strong>Our study demonstrates a significant association between TyG-BMI and the risk of CVD in postmenopausal women, supporting its utility as a valuable biomarker for enhancing primary prevention and management strategies in this population.</p>","PeriodicalId":94003,"journal":{"name":"Experimental gerontology","volume":" ","pages":"112906"},"PeriodicalIF":4.3000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Link between triglyceride-glucose-body mass index and future cardiovascular disease risk in Chinese menopausal women: A nationwide prospective cohort study.\",\"authors\":\"Daoyuan Wei, Weiqi Zhu, Xinyu Yang, Yuanxiang Liu, Jiguo Yang\",\"doi\":\"10.1016/j.exger.2025.112906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The association between the triglyceride glucose-body mass (TyG-BMI) index and cardiovascular disease (CVD) risk in postmenopausal women remains unclear. This study examines this association in Chinese menopausal women to develop targeted risk assessment tools.</p><p><strong>Methods: </strong>Data from the 2011 and 2020 China Health and Retirement Longitudinal Study (CHARLS) included menopausal women aged ≥45 years. Multivariable logistic regression models assessed the association between TyG-BMI and CVD. Restricted cubic spline (RCS) regression tested nonlinearity, and stratified analyses evaluated effect modification.</p><p><strong>Results: </strong>Among 2405 participants, 609 (25.32 %) developed CVD. Each interquartile TyG-BMI (49.10) increase raised CVD risk by 28 % (OR = 1.28; 95 % CI: 1.07-1.53). A linear dose-response relationship existed for CVD (P-trend <0.05; P-nonlinearity >0.05). Marital status modified the association (P-interaction = 0.035), with no significant interactions in other subgroups. For CVD prediction, TyG-BMI (AUC = 0.645) outperformed TyG (AUC = 0.622).</p><p><strong>Conclusions: </strong>Our study demonstrates a significant association between TyG-BMI and the risk of CVD in postmenopausal women, supporting its utility as a valuable biomarker for enhancing primary prevention and management strategies in this population.</p>\",\"PeriodicalId\":94003,\"journal\":{\"name\":\"Experimental gerontology\",\"volume\":\" \",\"pages\":\"112906\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Experimental gerontology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.exger.2025.112906\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental gerontology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.exger.2025.112906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Link between triglyceride-glucose-body mass index and future cardiovascular disease risk in Chinese menopausal women: A nationwide prospective cohort study.
Background: The association between the triglyceride glucose-body mass (TyG-BMI) index and cardiovascular disease (CVD) risk in postmenopausal women remains unclear. This study examines this association in Chinese menopausal women to develop targeted risk assessment tools.
Methods: Data from the 2011 and 2020 China Health and Retirement Longitudinal Study (CHARLS) included menopausal women aged ≥45 years. Multivariable logistic regression models assessed the association between TyG-BMI and CVD. Restricted cubic spline (RCS) regression tested nonlinearity, and stratified analyses evaluated effect modification.
Results: Among 2405 participants, 609 (25.32 %) developed CVD. Each interquartile TyG-BMI (49.10) increase raised CVD risk by 28 % (OR = 1.28; 95 % CI: 1.07-1.53). A linear dose-response relationship existed for CVD (P-trend <0.05; P-nonlinearity >0.05). Marital status modified the association (P-interaction = 0.035), with no significant interactions in other subgroups. For CVD prediction, TyG-BMI (AUC = 0.645) outperformed TyG (AUC = 0.622).
Conclusions: Our study demonstrates a significant association between TyG-BMI and the risk of CVD in postmenopausal women, supporting its utility as a valuable biomarker for enhancing primary prevention and management strategies in this population.
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