Risk factors for incident type 2 diabetes among adults with impaired fasting glucose: a comparison of three regression models accounting for competing mortality in Liuzhou, Guangxi, China.

Authors

Zhenzhen Lu, Chaoyun Li, Qi Li, Jun Lv, Canqing Yu, Dianjianyi Sun, Wei Mao

Published in

Preventive medicine reports. Volume 70. Pages 103616. Epub Sep 01, 2026.

Abstract

Impaired fasting glucose (IFG) is a prediabetic precursor of type 2 diabetes (T2DM). Few long-term cohorts with substantial competing mortality compare risk estimates from logistic, Cox and Fine-Gray regression. This study aimed to examine cross-model discrepancies and demonstrate model-dependent bias in IFG risk inference.
We followed 913 Chinese IFG adults recruited in Liuzhou, Guangxi (2004-2008) for up to 20 years until 31 December 2024 (median 17.83 years). Three regression models were used to identify fully adjusted T2DM predictors.
Fasting glucose, body fat percentage and older age were consistent positive predictors; female sex was persistently protective. Body mass index (BMI) ≥28 kg/m² and waist-to-hip ratio showed divergent results across models. Hypertension lacked independent effects in all models, and enrollment year was significant only in Cox regression.
Statistical model choice alters risk factor conclusions in IFG cohorts with high competing mortality. Joint interpretation of complementary regression methods is recommended.

PMID:
42740863
Bibliographic data and abstract were imported from PubMed on 15 Sep 2026.

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