Associations of long-term average and variability of estimated glucose disposal rate with frailty progression: evidence from two prospective cohorts
Abstract
BACKGROUND: The estimated glucose disposal rate (eGDR), when measured at a single time point, has been linked to frailty. This study aimed to investigate the associations between long-term eGDR patterns and frailty progression. METHODS: We conducted prospective analyses among participants aged ≥ 45 years from two cohorts: the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA). Two metrics were derived to characterize long-term eGDR patterns over an 8-year exposure period: average eGDR and eGDR variability (assessed by variation independent of the mean [VIM]). The frailty index (FI, 0-100 points) was calculated every two years during the follow-up period, with higher scores indicating more severe frailty. Linear mixed-effects models were used to analyze the associations of long-term eGDR patterns with frailty progression. RESULTS: This study included 6,829 participants from HRS (mean age: 67.7 years, 60.0% females) and 2,152 participants from ELSA (mean age: 69.7 years, 56.5% females). Compared with individuals in the lowest tertile (T1) of average eGDR, those in the highest tertile (T3) showed a significantly slower increase in FI over time (pooled β: -0.347, 95% CI: -0.536 to -0.157; I² = 58.6%). For each 1-standard deviation (SD) increase in average eGDR, the pooled β value was -0.139 (95% CI: -0.203 to -0.075; I² = 40.2%). Conversely, independent of the average eGDR level, higher eGDR variability (T3 vs. T1 of VIM) was associated with accelerated FI progression (pooled β: 0.226, 95% CI: 0.107 to 0.346; I² = 0.0%). Each 1-SD increase in eGDR variability was associated with an additional annual FI increase of 0.076 (pooled β: 0.076, 95% CI: 0.027 to 0.124; I² = 0.0%). CONCLUSIONS: Both long-term average and variability of eGDR were associated with frailty progression, highlighting the importance of monitoring eGDR dynamics and implementing interventions to stabilize eGDR in aging populations.
The paper
Sir Run Run Shaw Hospital; Harvard University
Journal of Translational Medicine, 28 May 2026, Open access
