Evidence mapPaperPMID 42210296Full record

ArticleJournal of translational medicine2026

Associations of long-term average and variability of estimated glucose disposal rate with frailty progression: evidence from two prospective cohorts.

Yihong Ding, Zhaoping Wang, Ting Shen, Gulisiya Hailili, Minqing Yan, Xiaoran Liu, Di He, Changzheng Yuan

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Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yihong Ding *Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhaoping Wang *Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ting ShenSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Gulisiya HaililiSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Minqing YanSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiaoran LiuRush Institute for Healthy Aging, Rush University Medical Center, Chicago, IL, USA.
Di HeDepartment of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. hedisrrsh@zju.edu.cn.
Changzheng YuanSchool of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. chy478@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsWe 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.

resultsThis 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; I

conclusionsBoth 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.

Indexed as

Disease ProgressionFrailtyGlucoseAgedAgingFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesTime FactorsGlucoseCumulative exposureEstimated glucose disposal rateFrailtyInsulin resistanceVariability

Identifiers

PMID42210296
PMCPMC13251086

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.