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An 11-Year Study to Predict Major Complications According to Biological Age in Patients With Diabetes: National
Chul-Young Bae1, Bo-Seon Kim1, In-Hee Kim2
1MediAge Research Center, Seongnam-si, Gyeonggi-do, Korea.
Insights
Maintaining a lower biological age (BA) in diabetic patients is linked to fewer complications and delayed onset. This finding encourages proactive health management for individuals with diabetes.
Area of Science:
- Endocrinology and Metabolism
- Gerontology and Geriatrics
- Public Health
Background:
- Rising global prevalence of diabetes, especially in younger populations.
- Increased risk of diabetes complications and associated healthcare costs.
- Need for predictive models for diabetes complications.
Purpose of the Study:
- To investigate the concept of biological age (BA) in patients with diabetes.
- To develop a predictive model for diabetes complications risk and onset.
- To explore the relationship between BA and diabetes complication outcomes.
Main Methods:
- Analysis of NHIS-NHID data from 686,410 diabetes patients (2009-2020).
- Development of a biological age model specific to diabetes patients.
- Prediction of complication risk and time of onset using the BA model.
Main Results:
- Incidence of all diabetes complications significantly increased with higher corrected BA (p < 0.05).
- Time to complication onset significantly decreased with higher corrected BA (p < 0.05).
- Results consistent across both sexes.
Conclusions:
- Lower biological age is associated with reduced diabetes complication risk and delayed onset.
- Effective health management in diabetes patients may be encouraged by focusing on BA.
- This study pioneers the application of BA in diabetes to assess complication risk and timing.
Background:
The prevalence of diabetes has been increasing, particularly among younger age groups with prolonged survival, and the risk of complications and the burden of healthcare costs are also expected to rise. We investigated the concept of biological age (BA) in patients with diabetes and there by developed a model to predict the risk and time of onset of diabetes complications.
Methods:
Using NHIS-NHID data, we analysed 686,410 patients with diabetes who had undergone a health examination in 2009-2010. We analysed patients' data until 2020. We developed a BA model for patients with diabetes and predicted the risk of complications and the time of complication onset.
Results:
In both sexes, the incidences of all complications increased significantly with increasing corrected BA (p < 0.05). Similarly, the time until onset of all complications decreased significantly with increasing corrected BA (p < 0.05).
Conclusions:
Our study suggests that maintaining a lower BA is associated with a reduced risk of complications and a delayed onset of the disease, which may encourage diabetic patients to manage their health more effectively. This study is the first to apply the concept of BA, reflecting health and ageing status, to patients with diabetes to explore its relationship with the risk and timing of complications.
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