Association between the triglyceride-glucose-frailty index and the risk of diabetes mellitus among middle-aged and elderly population
XIE Jiang1,2, WANG Yufeng2, ZHANG Juan2, SONG Yingnan2, LUO Ling1, TAO Meiyi2, SU Wanying1
1. Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410005, China; 2. School of Nursing, Faculty of Medicine, Hunan Normal University, Changsha, Hunan 410013, China
Abstract:Objective To explore the association between the triglyceride-glucose-frailty index and the risk of diabetes mellitus among middle-aged and elderly population, so as to provide the evidence for diabetes mellitus risk screening and management among middle-aged and elderly population. Methods Based on data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018, middle-aged and elderly individuals aged ≥45 years without diabetes mellitus at baseline were selected as study participants. Demographic characteristics, lifestyles, and laboratory test data were collected. The triglyceride-glucose index was calculated using triglyceride and fasting blood glucose levels, and the frailty index was derived from a 29-item health deficit accumulation model. The triglyceride-glucose-frailty index was obtained by multiplying the two indices, and participants were divided into four groups according to quartiles. Association between the triglyceride-glucose-frailty index and diabetes mellitus incidence risk was analyzed using a multivariable Cox proportional hazards regression model, and the dose-response relationship was assessed using a restricted cubic spline model. Results A total of 5 246 participants were included, including 2 364 males (45.06%) and 2 882 females (54.94%). The mean age was (58.38±8.78) years. The median of the triglyceride-glucose-frailty index was 0.78 (interquartile range, 1.13). By 2018, 452 diabetes mellitus cases were identified, with a cumulative incidence of 8.62%. Multivariable Cox proportional hazards regression analysis showed that, after adjusting for demographic characteristics, lifestyle factors, and biochemical indicators, each one-standard-deviation increase of the triglyceride-glucose-frailty index was associated with a 37.5% higher risk of diabetes mellitus incidence (HR=1.375, 95%CI: 1.278-1.479). Compared with the Q1 group, the risk increased by 50.8% (HR=1.508, 95%CI: 1.072-2.123), 91.3% (HR=1.913, 95%CI: 1.380-2.651) and 241.6% (HR=3.416, 95%CI: 2.499-4.671) in the Q2, Q3 and Q4 groups, respectively, presenting an upward trend (Pfor trend <0.05). Restricted cubic spline analysis showed a non-linear relationship between the triglyceride-glucose-frailty index and diabetes mellitus incidence risk (P<0.05). Conclusion The triglyceride-glucose-frailty index was positively associated with diabetes mellitus risk among middle-aged and elderly population, and a nonlinear dose-response relationship was observed between the two.
谢江, 王雨凤, 张娟, 宋英楠, 罗玲, 陶美伊, 苏晚英. 甘油三酯-葡萄糖-衰弱指数与中老年人糖尿病发病风险的关联研究[J]. 预防医学, 2026, 38(6): 573-577,582.
XIE Jiang, WANG Yufeng, ZHANG Juan, SONG Yingnan, LUO Ling, TAO Meiyi, SU Wanying. Association between the triglyceride-glucose-frailty index and the risk of diabetes mellitus among middle-aged and elderly population. Preventive Medicine, 2026, 38(6): 573-577,582.
[1] CHO N H,SHAW J E,KARURANGA S,et al.IDF Diabetes Atlas:global estimates of diabetes prevalence for 2017 and projections for 2045[J].Diabetes Res Clin Pract,2018,138:271-281. [2] 王慧,高霞,朱晓云,等.社区2型糖尿病患者血糖控制达标的影响因素分析[J].预防医学,2024,36(5):423-427. [3] KUANG M B,YANG R J,HUANG X,et al.Assessing temporal differences in the predictive power of baseline TyG-related parameters for future diabetes:an analysis using time-dependent receiver operating characteristics[J/OL].J Transl Med,2023,21(1)[2026-05-19].https://doi.org/10.1186/s12967-023-04159-7. [4] NNAMUDI A C,ORHUE N J,IJEH I I,et al.Finnish diabetes risk score outperformed triglyceride-glucose index in diabetes risk prediction[J].J Diabetes Metab Disord,2023,22(2):1337-1345. [5] CENGIZ B E,OZER N T,CENGIZ C B,et al.The concurrent challenges of sarcopenia and frailty:a 5-year mortality risk evaluation in geriatric patients with type 2 diabetes mellitus[J/OL].Diabetes Metab J,2025[2026-05-19].https://doi.org/10.4093/dmj.2025.0077. [6] ASSAR M E,LAOSA O,RODRÍGUEZ MAÑAS L.Diabetes and frailty[J].Curr Opin Clin Nutr Metab Care,2019,22(1):52-57. [7] THEOU O,HAVIVA C,WALLACE L,et al.How to construct a frailty index from an existing dataset in 10 steps[J/OL].Age Ageing,2023,52(12)[2026-05-19].https://doi.org/10.1093/ageing/afad221. [8] ZHAO Y H,HU Y S,SMITH J P,et al.Cohort profile:the China health and retirement longitudinal study(CHARLS)[J].Int J Epidemiol,2014,43(1):61-68. [9] SUN Y F,WANG Z B,HUANG Z Q,et al.The association between the triglyceride-to-high-density lipoprotein cholesterol ratio and the risk of progression to diabetes from prediabetes:a 5-year cohort study in Chinese adults[J/OL].Front Endocrinol,2022,13[2026-05-19].https://doi.org/10.3389/fendo.2022.947157. [10] GUERRERO-ROMERO F,SIMENTAL-MENDÍA L E,GONZÁLEZ-ORTIZ M,et al.The product of triglycerides and glucose,a simple measure of insulin sensitivity.Comparison with the euglycemic-hyperinsulinemic clamp[J].J Clin Endocrinol Metab,2010,95(7):3347-3351. [11] FU H L,SI L L,GUO R X.What is the optimal cut-off point of the 10-item Center for Epidemiologic Studies Depression Scale for screening depression among Chinese individuals aged 45 and over? An exploration using latent profile analysis[J/OL].Front Psychiatry,2022,13[2026-05-19].https://doi.org/10.3389/fpsyt.2022.820777. [12] ZHAO Y C,WU S Q,LI J K,et al.Predictive value of the combined triglyceride-glucose and frailty index for cardiovascular disease and stroke in two prospective cohorts[J/OL].Cardiovasc Diabetol,2025,24(1)[2026-05-19].https://doi.org/10.1186/s12933-025-02880-9. [13] ELSAYED N A,ALEPPO G,ARODA V R,et al.2.Classification and Diagnosis of Diabetes:standards of care in diabetes-2023[J].Diabetes Care,2023,46(Suppl. 1):S19-S40. [14] LI X L,LI G L,CHENG T T,et al.Association between triglyceride-glucose index and risk of incident diabetes:a secondary analysis based on a Chinese cohort study:TyG index and incident diabetes[J/OL].Lipids Health Dis,2020,19(1)[2026-05-19].https://doi.org/10.1186/s12944-020-01403-7. [15] PRANATA R,HUANG I,IRVAN,et al.The association between triglyceride-glucose index and the incidence of type 2 diabetes mellitus:a systematic review and dose-response meta-analysis of cohort studies[J].Endocrine,2021,74(2):254-262. [16] GU Y Z,HAN X R,LIU J X,et al.Frailty and incident diabetes among middle-aged and older adults:Evidence from a large prospective cohort in China[J/OL].Nutr Metab Cardiovasc Dis,2025,35(10)[2026-05-19].https://doi.org/10.1016/j.numecd.2025.104114. [17] MISHRA M,WU J,KANE A E,et al.The intersection of frailty and metabolism[J].Cell Metab,2024,36(5):893-911. [18] FERRUCCI L,CORSI A,LAURETANI F,et al.The origins of age-related proinflammatory state[J].Blood,2005,105(6):2294-2299. [19] VÁZQUEZ-FERNÁNDEZ A,CABALLERO F F,YÉVENES-BRIONES H,et al.Plant and animal protein intake and transitions from multimorbidity to frailty and mortality in older adults[J/OL].J Cachexia Sarcopenia Muscle,2025,16(1)[2026-05-19].https://doi.org/10.1002/jcsm.13729. [20] 崔彦泽,张玲,蒋璐,等.衰弱与2型糖尿病的孟德尔随机化研究[J].预防医学,2024,36(9):786-789.