Exploring the association between 5 different alternative indicators of insulin resistance and the risk of multiple cardiovascular and metabolic diseases: A cross-sectional NHANES study from 2005 to 2018.
Increased levels of all five insulin resistance surrogates (TyG index, TyG-BMI, METS-IR, TG/HDL-C ratio, and HOMA-IR) were significantly associated with higher cardiometabolic multimorbidity risk, with HOMA-IR demonstrating the best predictive performance (AUC 0.699) and a J-shaped nonlinear relationship with CMM risk.
Key Findings
Results
All five insulin resistance surrogates were significantly associated with increased cardiometabolic multimorbidity (CMM) risk.
The study included 15,537 participants from NHANES 2005 to 2018, of whom 2,881 developed CMM.
IR markers assessed included the TyG index, TyG-BMI index, METS-IR, TG/HDL-C ratio, and HOMA-IR.
Logistic regression, the Boruta algorithm, trend tests, restricted cubic spline analysis, subgroup analysis, Brier scores, and ROC curve analysis were applied.
Trend analysis showed a dose-response association for all markers (P for trend < .05).
Results
The TyG index and ln[HOMA-IR] exhibited a J-shaped nonlinear relationship with CMM risk.
Restricted cubic spline analysis indicated a J-shaped nonlinear relationship for TyG index and ln[HOMA-IR] with CMM.
P for overall < .001 and P for nonlinear < .05 for both TyG index and ln[HOMA-IR].
This nonlinear pattern suggests that CMM risk increases more steeply at higher levels of these markers.
Results
ln[TyG-BMI], ln[METS-IR], and ln[TG/HDL-C] exhibited linear relationships with CMM risk.
Restricted cubic spline analysis showed linear relationships for ln[TyG-BMI], ln[METS-IR], and ln[TG/HDL-C] with CMM.
P for overall < .001 for all three markers.
P for nonlinear > .05 for ln[TyG-BMI], ln[METS-IR], and ln[TG/HDL-C], confirming linearity.
Results
HOMA-IR demonstrated the highest predictive performance for CMM risk among the five IR surrogates.
HOMA-IR showed the highest area under the curve (AUC) of 0.699 for predicting CMM risk.
Brier scores were used alongside ROC curve analysis to assess predictive performance.
HOMA-IR also demonstrated a J-shaped nonlinear relationship with CMM risk.
Background
The study identified an absence of prior research exploring the correlation between insulin resistance surrogates and cardiometabolic multimorbidity risk.
CMM is defined as the coexistence of multiple cardiovascular and metabolic diseases.
Five alternative IR surrogates were compared: TyG index, TyG-BMI index, METS-IR, TG/HDL-C ratio, and HOMA-IR.
The study used cross-sectional NHANES data spanning 2005 to 2018 to fill this research gap.
Song X, He Y, Cai Z, Peng L. (2026). Exploring the association between 5 different alternative indicators of insulin resistance and the risk of multiple cardiovascular and metabolic diseases: A cross-sectional NHANES study from 2005 to 2018.. Medicine. https://doi.org/10.1097/MD.0000000000048080