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

Year: 2026

Type: article

Abstract: Objectives: 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. Methods: 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. Results: 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. Conclusions: Statistical model choice alters risk factor conclusions in IFG cohorts with high competing mortality. Joint interpretation of complementary regression methods is recommended.

Source: Preventive Medicine Reports

DOI: 10.1016/j.pmedr.2026.103616

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

Institutions: Guangxi Center for Disease Prevention and Control, Guangxi Medical University, Peking University

Language: English

Topic: Diabetes, Cardiovascular Risks, and Lipoproteins

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,610

Funders: Wellcome Trust, National Natural Science Foundation of China, Kadoorie Charitable Foundation, National Science and Technology Major Project, National Key Research and Development Program of China

OpenAlex ID: W7204882022