Type 2 & other diabetes

Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis

Cardiovasc DiabetolPublished Cohort study and two-sample Mendelian randomization analysis

Authors' conclusion

The non-insulin-based IR indicators, including TyG index, METS-IR and eGDR, were independently associated with the frailty progression and physical function decline. Monitoring and managing abnormal glucose metabolism should be recommended as a part of comprehensive strategies to prevent or delay the progression of frailty.

Study context

Population
Participants in the China Health and Retirement Longitudinal Study (CHARLS); frailty index over nine years
Participants
6,722 participants
Exposure
Non-insulin-based insulin resistance (IR) indicators (triglyceride-glucose (TyG) index, metabolic score for insulin resistance (METS-IR), estimated glucose disposal rate (eGDR)) and frailty trajectories, frailty risk and physical function decline
Outcome
Long-term deficit-accumulation frailty trajectories and physical function decline
Follow-up
Nine years
Methodological detailsnational cohort, CHARLS, group-based trajectory model, logistic regression, restricted cubic splines, linear mixed-effects model, adjusted for age, gender, education, marital status, smoking, drinking, life satisfaction, social activity, sleep duration
  • National cohort
  • CHARLS
  • Group-based trajectory model
  • Logistic regression
  • Restricted cubic splines
  • Linear mixed-effects model
  • Adjusted for age, gender, education, marital status, smoking, drinking, life satisfaction, social activity, sleep duration

Main finding

As reported in the abstract

Odds ratio (95% CI)
TyG index, per SD incrementfrailty risk; 16.1% increase
1.161(1.092–1.235)
eGDRfrailty risk; inverse association
0.741(0.696–0.788)

Per SD increment, as printed

TyG index, per SD increment · greater frailty index (FI) increase
β 0.005 SD/y (95% CI 0.002–0.008); P < 0.001
METS-IR highest quartile · greater FI progression
β 0.013 (95% CI 0.004–0.022)
eGDR, per SD increment · slower FI increase
β −0.006 SD/y (95% CI −0.009 to −0.003); P < 0.001
eGDR highest quartile vs eGDR quartile 1 · lower annual change in FI
β −0.013 SD/y (95% CI −0.022 to −0.005); P for trend = 0.001
Linear relationship between baseline TyG index and frailty risk
P nonlinear = 0.696
Nonlinear association for eGDR
P nonlinearity < 0.010
Nonlinear association for METS-IR
P nonlinearity < 0.010

Observational data: associations, not effects.

Further findings

Outcomeβ (95% CI)P value
MR: higher TyG index and frailty riskCausal relationship0.214 (0.079–0.349)P = 0.002

Physical function decline

Similar findings were observed for physical function decline

Original publication

Association between non-insulin-based insulin resistance indicators and frailty progression: a national cohort study and mendelian randomization analysis. Cardiovasc Diabetol. Published 22 January 2025. doi:10.1186/s12933-025-02597-9

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