Published online Nov 19, 2026. doi: 10.5498/wjp.123981
Revised: July 30, 2026
Accepted: September 21, 2026
Published online: November 19, 2026
Processing time: 147 Days and 0.1 Hours
Sleep problems commonly coexist with insulin resistance and abdominal adipo
To investigate associations of TyG-ABSI with sleep problems and sleep duration and evaluate depressive symptoms using statistical analysis.
This cross-sectional study included 12642 adults from the 2005-2014 National Health and Nutrition Examination Survey. TyG-ABSI was analyzed continuously and by tertiles. Sleep problems were defined by affirmative responses to either of two self-reported questionnaire items; sleep duration was analyzed continuously. Survey-weighted multivariable logistic and linear regressions assessed the associations. Each sleep item was examined separately in sensitivity analyses. Bootstrap statistical decomposition estimated total, direct, and indirect effects using binary depressive status and continuous Patient Health Questionnaire-9 scores.
Survey-weighted analyses showed that a 1-unit increase in TyG-ABSI was associated with higher odds of self-reported sleep problems (odds ratio = 1.17; 95%CI: 1.06-1.30; P = 0.002). Among those reporting sleep problems, TyG-ABSI was positively associated with sleep duration (β = 0.31 hours per unit; 95%CI: 0.05-0.57; P = 0.020), whereas the association was not statistically significant among those without sleep problems (β = 0.00). Restricted cubic splines suggested a nonlinear association with sleep duration (P for nonlinearity < 0.05). Decomposition using continuous depressive scores yielded a negative indirect estimate (β = -0.044; 95%CI: -0.082 to -0.016; P < 0.001) and a positive direct estimate, consistent with statistical suppression.
Higher TyG-ABSI is associated with self-reported sleep problems and with longer sleep duration among parti
Core Tip: This population-based study used survey-weighted data from United States adults to assess the association of the triglyceride-glucose index combined with a body shape index with self-reported sleep problems and sleep duration. Higher triglyceride-glucose index combined with a body shape index was associated with greater odds of sleep problems, while analyses suggested a possible nonlinear association with sleep duration among participants with sleep problems. Depressive symptoms exhibited a statistical suppression effect rather than conventional mediation. These findings extend evidence on metabolic-sleep associations by integrating metabolic and body-shape information and warrant prospective validation.