biostudies-literatureWang YSichuan Provincial Science and Technology Plan Key R&D ProjectGeneral Project of Humanities and Social Sciences Research of the Ministry of Education (Planning Fund Project)271https://www.ebi.ac.uk/biostudies/studies/S-EPMC12606983biostudies-literatureUnknown83(1)<h4>Background</h4>Previous studies have demonstrated the importance of obesity and insulin resistance in increasing the risk of cardiovascular and metabolic diseases. However, few studies have demonstrated the association between visceral fat and cardiometabolic multimorbidity (CMM). In addition, the interaction of visceral fat and insulin resistance on CMM and the predictive value of the combination of the two remain incompletely understood.<h4>Objective</h4>This study aims to investigate the relationships among novel obesity indices, the TyG index, and the CMM and to evaluate the predictive value of composite indices that combine obesity indices with the TyG index for CMM risk, thereby providing a basis for developing refined and multidimensional intervention strategies.<h4>Methods</h4>Archives of public health = Archives belges de sante publiqueImproving cardiometabolic multimorbidity prediction with a composite obesity-TyG index: a study of middle-aged and older adults in CHARLS.PMC12606983Grant No. 24YJAZH217Grant No. 2024YFFK0348Liu XZhang JWang HWang YfalseImproving cardiometabolic multimorbidity prediction with a composite obesity-TyG index: a study of middle-aged and older adults in CHARLS.<h4>Background</h4>Previous studies have demonstrated the importance of obesity and insulin resistance in increasing the risk of cardiovascular and metabolic diseases. However, few studies have demonstrated the association between visceral fat and cardiometabolic multimorbidity (CMM). In addition, the interaction of visceral fat and insulin resistance on CMM and the predictive value of the combination of the two remain incompletely understood.<h4>Objective</h4>This study aims to investigate the relationships among novel obesity indices, the TyG index, and the CMM and to evaluate the predictive value of composite indices that combine obesity indices with the TyG index for CMM risk, thereby providing a basis for developing refined and multidimensional intervention strategies.<h4>Methods</h4>2025-01-01T00:00:00Z2025 Nov2026-06-05T14:57:49.761Z2026-05-18T03:12:34.339ZS-EPMC126069834121998610.1186/s13690-025-01762-6