Sun Jiayu, Guo Xiaoming, Guo Wenxin, Li Yanlong, Han Junzhe, Yang Bin, Meng Lina, Liu Yang
Department of Nursing, Harbin Medical University, Daqing, Heilongjiang 163319, China.
The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning 116027, China.
Arch Gerontol Geriatr. 2025 Apr;131:105764. doi: 10.1016/j.archger.2025.105764. Epub 2025 Jan 17.
To investigate the relationship between estimated glucose disposal rates (eGDR) and the progression of frailty, using longitudinal data.
We analyzed four waves of data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, involving 6,778 middle-aged and older adults. eGDR was calculated using a specific formula, categorizing participants into high and low eGDR groups based on the lowest quartile (8.5). Frailty status was assessed using the frailty index (FI). Linear mixed-effects models were employed to analyze the association between eGDR and frailty progression, as well as the impact of transitions in eGDR.
We found that the baseline FI was significantly higher in the low eGDR group compared to the high eGDR group. Furthermore, participants in the low eGDR group exhibited a faster progression of frailty, compared to those in the high eGDR group. Among non-frail participants at baseline, the association between low eGDR and accelerated frailty progression was even more pronounced. Further analysis revealed that, compared to participants who maintained a stable high eGDR, those who transitioned from high to low eGDR and those who consistently remained in the low eGDR group both experienced significantly accelerated frailty progression. On the contrary, participants who transitioned from low to high eGDR did not show a significant acceleration in frailty progression compared to those who consistently maintained a high eGDR.
Low eGDR is linked to accelerated frailty progression in middle-aged and older Chinese adults. Transitioning from low to high eGDR may mitigate this progression, highlighting the importance of eGDR in frailty management.
利用纵向数据研究估计的葡萄糖处置率（eGDR）与衰弱进展之间的关系。
我们分析了2011年至2018年中国健康与养老追踪调查（CHARLS）的四轮数据，涉及6778名中老年人。使用特定公式计算eGDR，并根据最低四分位数（8.5）将参与者分为高eGDR组和低eGDR组。使用衰弱指数（FI）评估衰弱状态。采用线性混合效应模型分析eGDR与衰弱进展之间的关联，以及eGDR转变的影响。
我们发现，低eGDR组的基线FI显著高于高eGDR组。此外，与高eGDR组相比，低eGDR组的参与者衰弱进展更快。在基线时非衰弱的参与者中，低eGDR与加速的衰弱进展之间的关联更为明显。进一步分析显示，与维持稳定高eGDR的参与者相比，从高eGDR转变为低eGDR的参与者以及一直处于低eGDR组的参与者，其衰弱进展均显著加速。相反，与一直维持高eGDR的参与者相比，从低eGDR转变为高eGDR的参与者在衰弱进展方面并未显示出显著加速。
低eGDR与中国中老年人加速的衰弱进展有关。从低eGDR转变为高eGDR可能会减轻这种进展，突出了eGDR在衰弱管理中的重要性。
