ArticleJournal of medical biochemistry2026
Analysis of risk factors for pre-diabetes to diabetes among cadres in Huzhou: A 5-year retrospective study.
Article in Journal of medical biochemistry, 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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Abstract
Background: To analyse the risk factors of Diabetes Mellitus (DM) through a five-year retrospective study of pre-diabetes mellitus (Pre DM) cadres. Methods: The cadres who underwent physical examination and were diagnosed with pre-diabetes in the First People's Hospital of Huzhou City from April 2019 to November 2024 were selected as the research objects, and their basic information (age, gender, body mass index, etc.), lifestyle (diet, exercise, smoking and drinking, etc.), family medical history, biochemical indicators (blood sugar, blood lipid, blood pressure, etc.) and other data were collected. People were divided into two groups based on whether they developed diabetes, and the risk factors for diabetes were determined using univariate analysis and multivariate Logistic regression analysis. Results: A total of 174 Pre DM cadres were included, and 30 of them developed diabetes. Univariate analysis revealed significant differences in age, body mass index, fasting blood glucose, triglycerides, uric acid, blood pressure, blood lipids, liver function, and renal function between the two groups (P< 0.05). The results of the multivariate Logistic regression analysis showed that age, BMI, SBP TG, TC, BUN, TBIL, and ALT were independent risk factors for the development of diabetes in the pre-diabetic healthcare population within 5 years (P< 0.05). Conclusions: This study demonstrates that age, BMI, blood pressure, blood lipid levels, liver and kidney function indexes, and gender are significant risk factors for patients with Pre DM to develop into DM. Monitoring and managing these factors can reduce the risk of pre-diabetes patients progressing to diabetes. This provides personalised health management suggestions for pre-diabetes (Pre DM) cadres and healthcare professionals and also offers theoretical support for the formulation of relevant health policies.
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