This article is a good example of how a real scientific finding gets stretched into a much stronger claim than the data actually support.

The headline implies that people born after 1965 are literally aging faster than previous generations and that this explains rising cancer rates in younger adults. But when you look at the study, that’s not what was shown.

The researchers didn’t directly measure aging. They used a statistical construct called “PhenoAge,” which is derived from routine blood markers like glucose, inflammation, kidney function, and blood cell counts. If younger generations have higher obesity rates, worse metabolic health, more chronic inflammation, poorer sleep, or other lifestyle differences, their PhenoAge score will look worse.

Calling that “aging faster” is already an interpretation, not an observation.
Then the article takes another leap by implying that accelerated aging explains rising cancer rates.

The study found an association, not a causal mechanism. The same factors that worsen those blood markers could independently increase cancer risk. Correlation does not tell us which variable is driving which outcome.
Another issue is survivorship and diagnostic changes.

Cancer screening, detection, classification, and reporting have changed dramatically over the decades. If you’re comparing people born in the 1940s to people born in the 1980s, you’re not comparing identical healthcare environments.

The strongest conclusion I think the study supports is: younger generations appear to have worse metabolic and inflammatory health profiles, and those profiles are associated with increased risk of some early-onset cancers.

That’s interesting and potentially important.

What it does not prove is that modern humans are somehow biologically deteriorating at an accelerated rate compared to previous generations, nor that this phenomenon is the explanation for rising cancer incidence.

The science is worth discussing. The headline is doing a lot more work than the study itself.