New AI-Based Study Suggests Unhappiness Could 'Age' Some People More Than Smoking

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New AI-Based Study Suggests Unhappiness Could 'Age' Some People More Than Smoking
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Scientists around the world are trying to use artificial intelligence to create a new type of 'clock' that can measure your true biological age.

This latest attempt incorporates physical information on 16 blood factors – including cholesterol levels – as well as BMI, waist circumference, and blood pressure.

The participants' psychological well-being data were based on eight feelings: bothered, lonely, unhappy, unfocused, restless, depressed, hopeless, or fearful. This is a simplified version of mental health, but if anything, that would make the predictions of the biological clock more conservative., heart disease, liver disease, lung disease, or stroke, it accurately predicted that they were older than their counterparts in the main, healthy cohort.

But the effect of these conditions on predicted age did not exceed 1.5 years. That's slightly less than the aggregate impact of all the psychological variables put together, which accelerated aging by 1.65 years, according to the algorithm.This doesn't mean that the algorithm found smoking less of a risk to health thanor loneliness; smoking remains one of the leading risk factors for many cancers and heart disease.

But based on the clock's predictions, it may be that if an unmarried person rarely feels happy , often feels hopeless , and is having trouble sleeping , that might have a bigger impact on their health than smoking on its own.their results demonstrate that the"detrimental impact of low psychological well-being is of the same magnitude as serious diseases and smoking".

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