MACHINE LEARNING SUGGESTS THAT NOT ONLY AGE AFFECTS CARDIOVASCULAR PARAMETERS, IMMUNOLOGICAL BIOMARKERS, AND THEIR CORRELATION, BUT THE LEVEL OF PHYSICAL CONDITIONING CHANGES THIS BEHAVIOR IN THE ELDERLY

Resumo

To compare elderly (athletes and the physically active, n=14). A negative correlation was found between SF and cardiovascular parameters, BL, and STP in both groups, but this was almost double among PAE. For HR and SBP, there was a faster recovery in EA. The EA increase was correlated with SBP, while for PAE it was correlated with HR. BL showed an increase in TE, reaching 481% in EA and 639% in PAE. SNO showed a similar increase for the groups at the TE, but at T5, while EA already showed a reduction, PAE saw a 94% increase, with a slower decay for this group at T15. The SF presented the negative ∆% was almost double in PAE, with a quick recovery already at T5 for EA and levels still negative at all times for PAE. For SIgA-s, there was an increase of 37% in EA and only 7% at the TE in PAE; 41% in EA and 15% in PAE for T5; and 26% in EA and 14% in PAE at T15. SA showed a higher peak in EA (TE) and less acute in PAE (T5) but there was a decrease among both at T15. STP increased by 126% in EA and 438% in PAE, already showing a return at T5 for EA, but increasing by 213% in PAE. Negative levels were reached at T15 for EA but levels remained high in PAE. Levels of physical conditioning affect cardiovascular parameters, salivary biomarkers, and their correlation within the over-60s.