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Published on: January 7, 2018
Triglyceride glucose-a body shape index (TyG-ABSI) as a potential indicator for cognitive impairment: Results from
Zhiyue Liang1, Licong Su2, Yu Shi3
1Department of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China; Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Background:
The role of TyG-ABSI (a combined index of the triglyceride-glucose index and a body shape index) in relation to cognitive impairment remains underexplored. This study aimed to evaluate its association with cognitive impairment in both U.S. and the Chinese populations.
Methods:
Cross-sectional analyses included 1205 US adults from NHANES (2011-2014) and 2608 Chinese adults from CHARLS (2011). Longitudinal analysis utilized the CHARLS (2011-2020) cohort (n = 3061). A comparison of baseline characteristics was conducted to evaluate potential selection bias. Multivariable logistic regression assessed associations, and the discriminatory ability of the indices was evaluated via ROC curves and DeLong tests. Subgroup analyses and restricted cubic splines were performed. Longitudinal analysis employed Kaplan-Meier curves, Cox models, and time-dependent ROC analysis.
Results:
In cross-sectional analysis, TyG-ABSI was significantly associated with cognitive impairment after full adjustment (NHANES: OR = 2.035, 95 %CI:1.243-3.332; CHARLS: OR = 1.301, 95 %CI:1.076-1.571). TyG-ABSI showed superior predictive performance versus other indices (NHANES: AUC = 0.8394, 95 % CI: 0.8143-0.8644; CHARLS: AUC = 0.7498, 95 % CI: 0.7246-0.7751). Subgroup analyses revealed population-specific risk patterns. Longitudinally, Kaplan-Meier analysis demonstrated that the group with both high TyG and high ABSI had the highest cumulative incidence of cognitive impairment. This was supported by Cox models, in which a higher TyG-ABSI was associated with an increased risk of cognitive impairment (HR = 1.109, 95 % CI: 1.076-1.571). Furthermore, TyG-ABSI achieved the highest time-dependent AUCs at 2, 4, 7, and 9 years.
Conclusion:
The TyG-ABSI index shows a stronger association with cognitive impairment risk and is more effective in identifying at-risk individuals compared to other TyG-derived indices, supporting its clinical utility and cross-population applicability.
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