Evidence map›Paper›PMID 41935314›Full record

ArticleDiabetology & metabolic syndrome2026

Insulin resistance and incident prediabetes in underweight individuals: a 5-year Chinese cohort study.

Haoren Xu, Qiaofeng Wu, Zhenhua Huang, Ling Chen, Xin Li

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Article in Diabetology & metabolic syndrome, 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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5 · Who and what money

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5 authors.

Haoren Xu *School of Medicine, South China University of Technology, Guangdong, 510006, China.
Qiaofeng Wu *Department of Emergency Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong, 510006, China.
Zhenhua Huang *Department of Emergency Medicine, the First Affiliated Hospital of Shenzhen University &Shenzhen Second People's Hospital, Shenzhen, 518035, China.
Ling ChenDepartment of Endocrinology, Shenzhen Second People's Hospital, Shenzhen clinical research center for metabolic diseases, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, Guangdong province, China. qzchenling@email.szu.edu.cn.
Xin LiSchool of Medicine, South China University of Technology, Guangdong, 510006, China. sylixin@scut.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province No.2024A1515012697High- level Hospital Construction Project of Guangdong Provincial People's Hospital No.DFJHBF202104National Science Foundation of China No. 82272246the Joint Funds of the Natural Science Foundation of China No.U24A20652the Medical Research Foundation of Guangdong Province No: A2024429the National Key R&D Program of China Intergovernmental Key Projects No.2023YFE0114300
6 · The paper itself

Abstract

objectiveTo examine the association between surrogate insulin-resistance (IR) indices and incident prediabetes across BMI categories, with particular attention to underweight individuals.

methodsThis retrospective cohort study included 99,016 Chinese adults with normoglycaemia at baseline. Four IR indices—triglyceride-glucose (TyG) index, TyG-BMI, atherogenic index of plasma (AIP) and metabolic score for IR (METS-IR)—were calculated. Participants were classified as underweight, normal-weight or overweight/obese. The primary outcome was new-onset prediabetes (fasting plasma glucose 5.6–6.9 mmol/L). Variable importance was ranked using the random-forest-based Boruta algorithm, and multivariable Cox proportional hazards models were employed to estimate risk associations.

resultsOver a median follow-up of 3.12 years, 12,152 (12.3%) individuals developed prediabetes. All IR indices were significantly and positively associated with prediabetes risk (all P < 0.0001). The strongest associations were observed in the underweight group; for example, TyG-BMI yielded an HR of 1.28 (95% CI 1.12–1.46), higher than in other BMI categories. Boruta identified the IR indices as top-ranking predictors, and ROC analysis showed that TyG-BMI achieved the best discriminative performance for prediabetes.

conclusionsIR indices are powerful predictors of incident prediabetes, with the most pronounced associations seen in underweight individuals. These findings challenge the notion that low BMI guarantees metabolic health and underscore the need to screen for insulin resistance across the entire BMI spectrum, including underweight persons, to enable more precise diabetes prevention.

Indexed as

Body mass indexCohort studyInsulin resistancePrediabetesUnderweight

Identifiers

PMID41935314
PMCPMC13214413

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