Longitudinal Associations Of Cumulative And Repeated-Measure Patterns Of Insulin Resistance Surrogate Indices With Biological Age Acceleration And Incident Cardiovascular Disease Across Cardiovascular-Kidney-Metabolic Syndrome Stages 0-3: Evidence From CHARLS 2011-2020

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Analytical
Long-term patterns of the body’s struggle to use insulin effectively are linked to a higher risk of heart and blood vessel diseases, partly by accelerating the body’s aging process.
Author

Gemini

Published

May 27, 2026

Many people are at risk of developing serious health problems like heart disease, kidney disease, and diabetes, even before they show clear symptoms. This early stage is often referred to as cardiovascular-kidney-metabolic (CKM) syndrome stages 0-3. A key factor in these conditions is something called insulin resistance, which is when your body’s cells don’t respond properly to insulin, leading to higher blood sugar levels.

This research investigated how different patterns of insulin resistance over time affect the risk of developing heart and blood vessel diseases. The study found that individuals who consistently had high levels of insulin resistance or unfavorable patterns of it over several years were more likely to develop these diseases.

Interestingly, a significant part of this increased risk was explained by what scientists call “biological age acceleration.” This means that sustained insulin resistance can make your body age faster than your actual years, which in turn contributes to the development of heart and blood vessel problems.

The study also compared various ways to measure insulin resistance indirectly, known as “surrogate indices.” It highlighted that one particular measure, called cumulative eGDR, was actually protective and better at predicting who would develop heart disease.

These findings suggest that regularly tracking insulin resistance and considering how quickly a person’s body is aging could help doctors identify individuals at higher risk of heart and blood vessel diseases much earlier. This early identification could lead to more effective strategies to prevent these conditions from progressing.


Source: link to paper