| Autor: |
Schumacher, Benjamin T., LaMonte, Michael J., LaCroix, Andrea Z., Simonsick, Eleanor M., Hooker, Steven P., Parada, Humberto, Bellettiere, John, Kumar, Arun |
| Zdroj: |
Journal of Sport and Health Science; September 2024, Vol. 13 Issue: 5 p611-620, 10p |
| Abstrakt: |
•Measuring maximal oxygen uptake (VO2max), a hallmark biomarker of healthy aging, is infeasible in large population health studies.•VO2maxprediction equations have been used to estimate cardiorespiratory fitness in the absence of direct measurement, though few equations were developed in older adult populations.•Our newly developed, non-exercise-based machine learning (ML) prediction algorithms estimate VO2maxwith greater accuracy than simpler, previously published approaches.•Using the ML estimates of VO2maxworks well for individual exercise prescription, but the estimates remain sensitive to adjustment in multivariable regression models. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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