# Analysis of risk factors for pre-diabetes to diabetes among cadres in Huzhou: A 5-year retrospective study

**Authors:** Yan Wu, Jun Yao, Shitong Xing, Ying Zhang, Yan Shen

PMC · DOI: 10.5937/jomb0-57846 · Journal of Medical Biochemistry · 2026-01-06

## TL;DR

This study identifies risk factors for pre-diabetes progressing to diabetes in a group of individuals over five years, highlighting the importance of monitoring age, BMI, blood pressure, and other health indicators.

## Contribution

The study provides new insights into specific risk factors for diabetes progression in pre-diabetic individuals, offering guidance for personalized health management.

## Key findings

- Age, BMI, blood pressure, blood lipids, liver and kidney function indicators are significant risk factors for pre-diabetes progressing to diabetes.
- 30 out of 174 pre-diabetic individuals developed diabetes within five years.
- Univariate and multivariate analyses identified multiple independent risk factors for diabetes progression.

## Abstract

To analyse the risk factors of Diabetes Mellitus (DM) through a five-year retrospective study of pre-diabetes mellitus (Pre DM) cadres.

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.

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&lt; 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&lt; 0.05).

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.

## Linked entities

- **Diseases:** Diabetes Mellitus (MONDO:0005015)

## Full-text entities

- **Genes:** GPT (glutamic--pyruvic transaminase) [NCBI Gene 2875] {aka AAT1, ALT, ALT1, GPT1, SGPT}, LPL (lipoprotein lipase) [NCBI Gene 4023] {aka HDLCQ11, LIPD}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** Type 2 diabetes mellitus (MESH:D003924), hypercholesterolemia (MESH:D006937), Abnormal renal function (MESH:D007674), Abnormal liver function (MESH:D056486), T1DM (MESH:D003922), IGT (MESH:D018149), endothelial (MESH:D005642), Hypertriglyceridemia (MESH:D015228), chronic diseases (MESH:D002908), microvascular and macrovascular diseases (MESH:D017566), abnormal liver and kidney function (MESH:D000014), Hypertension (MESH:D006973), nerve damage (MESH:D000080902), IFG (MESH:D007003), cardiovascular disease (MESH:D002318), diabetic retinopathy (MESH:D003930), endocrine and metabolic disease (MESH:D004700), insulin resistance (MESH:D007333), Obesity (MESH:D009765), Pre (MESH:D058246), retinopathy (MESH:D058437), inflammatory (MESH:D007249), Hyperlipidemia (MESH:D006949), hyperglycemia (MESH:D006943), metabolic syndrome (MESH:D024821), dyslipidemia (MESH:D050171), liver and kidney dysfunction (MESH:D051437), DM (MESH:D003920), microangiopathy (MESH:D014652), prediabetes (MESH:D011236), disorder of glucose metabolism (MESH:D044882)
- **Chemicals:** Lipid (MESH:D008055), alcohol (MESH:D000438), glucose (MESH:D005947), creatinine (MESH:D003404), FPG (-), metformin (MESH:D008687), free fatty acids (MESH:D005230), glycogen (MESH:D006003), Blood sugar (MESH:D001786), TC (MESH:D013667), bilirubin (MESH:D001663), uric acid (MESH:D014527), TG (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

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## References

33 references — full list in the complete paper: https://tomesphere.com/paper/PMC12967201/full.md

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Source: https://tomesphere.com/paper/PMC12967201