It's interesting, but here's the problem: it's what's called a "cross-sectional" study, whereas the gold standard for age-related studies is what's called a "longitudinal study."
In other words, this study assumes that it's reasonable to take (say) the 70-74 year old runners as representing what the 30-34 runners would be able to do 40 years later (or that the 70-74 runners represent what they would have been able to do 40 years earlier). That's the nature of a cross-sectional study; everybody knows this. Nothing's being hidden.
Why does this matter? History. A study like this assumes (is forced to assume, by its design) that every age group went through the same time periods (in the world), same general set of conditions, same general set of ideas about how to train, same general exposure to racing, disease, diet, equipment, and so on. Further, a study like this can't know how many of the older runners ever ran as young people, nor can it know how long any of them have been running.
If a cross-sectional study is the only possible one, then you do it. Otherwise, if you really want to nail down change, you've got to pick a cohort of runners and follow them for many years, which is obviously very difficult.
You can get lucky with a cross-sectional study, meaning that if somebody does a longitudinal study of the same phenomenon, the results will be the same. And you can get unlucky, too. In both cases you won't know for many years.
Back in the 60s, I worked on a study of aging that was meant to run for 50 years, or until the last person in the original sample died, or the funding ran out.
I'll be damned: it's still running. Good for them.
http://www.research.va.gov/pubs/varqu/summer2015/summer15-5.cfm
Studying change over time is hard.