Predicting Your Biological Age
A new tool for predicting health
New research has revealed that scientists are predicting your real biological age, as opposed to your chronological age, and indicating your personal life-span using a new scientific tool.
Here are the findings, written in plain language (i.e. Plainly Put).
Highlights
Estimating Biological Age: A method to estimate how “old” your body is, based on health data.
Balanced-AGE Predictor: A new tool that can predict the risk of death by assessing biological age.
Different Ageing Speeds: People who smoke, drink, and have higher BMI may age faster.
Identifying Risks: The Balanced-AGE helps find those at high risk of ageing-related issues.
Have you ever wondered how healthy you really are on the inside? Scientists have come up with a cool way to figure that out!
They’ve created a tool called Balanced-AGE that estimates how quickly your body is ageing based on regular health check-ups.
In China, where this study took place, they found that using Balanced-AGE could predict the chances of someone passing away. The scientists used a special method to make sure their tool works well, and it turned out to be super effective in telling who might face health problems in the next 10 years.
They also discovered some interesting things!
If you smoke, drink, or have a higher BMI (a measure of body fat), your body might be ageing faster. On the other hand, being underweight can also speed up the ageing process.
The Balanced-AGE tool can help identify these risks, especially in older folks, making it a handy tool for keeping an eye on their health.
So, but doing regular documented health checks, they measure your results against accepted wellness standards, and from this are predicting individual life spans, and specifically directing lifestyle changes to achieve better health results against the hallmarks.
Understanding how our bodies age is crucial for staying healthy, and we now have tools like Balanced-AGE to help us take charge of our well-being!
Sources:
DOI: https://doi.org/10.1016/j.isci.2024.108891
Open Access Published:February 02, 2024
