Manresa-Rocamora, A. et al. (2021). Heart rate variability-guided training for enhancing cardiac-vagal modulation, aerobic fitness, and endurance performance: a systematic review with meta-analysis. International Journal of Environmental Research and Public Health, 18(19). doi:10.3390/ijerph181910299
How HRV is interpreted as a recovery signal
Mølmen, K. S., Øfsteng, S. J. & Rønnestad, B. R. (2019). Block periodization of endurance training: a systematic review and meta-analysis. Open Access Journal of Sports Medicine, 10. doi:10.2147/OAJSM.S180408
Block periodization across base, build, peak and taper
Kenneally, M., Casado, A. & Santos-Concejero, J. (2018). The effect of periodization and training intensity distribution on middle- and long-distance running performance. International Journal of Sports Physiology and Performance, 13(9). doi:10.1123/ijspp.2017-0327
How intensity is distributed across a training block
Blagrove, R. C., Howatson, G. & Hayes, P. R. (2018). Effects of strength training on physiological determinants of distance running: a systematic review. Sports Medicine, 48(5). doi:10.1007/s40279-017-0835-7
Why the plan protects strength work and running economy
Dupuy, O., Douzi, W., Theurot, D., Bosquet, L. & Dugué, B. (2018). An evidence-based approach for choosing post-exercise recovery techniques: a meta-analysis of 99 studies. Frontiers in Physiology, 9. doi:10.3389/fphys.2018.00403
How recovery is weighed against accumulated load
Fokkema, T. et al. (2018). Reasons and predictors of discontinuation of running after a running program. Journal of Science and Medicine in Sport, 21(10).
Injury as the leading reason runners abandon a plan — the case for adaptation
Barnes, K. R. & Kilding, A. E. (2015). Running economy: measurement, norms, and determining factors. Sports Medicine – Open, 1. doi:10.1186/s40798-015-0007-y
Running economy & aerobic efficiency as performance determinants
Stöggl, T. & Sperlich, B. (2014). Polarized training has greater impact on key endurance variables than threshold, high-intensity, or high-volume training. Frontiers in Physiology, 5. doi:10.3389/fphys.2014.00033
Polarized 80/20 intensity distribution in plan generation
Bosquet, L., Montpetit, J., Arvisais, D. & Mujika, I. (2007). Effects of tapering on performance: a meta-analysis. Medicine & Science in Sports & Exercise, 39(8).
Taper structure in the final weeks before a race
Wehrlin, J. P. & Hallén, J. (2006). Linear decrease in VO₂max and performance with increasing altitude in endurance athletes. European Journal of Applied Physiology, 96(4). doi:10.1007/s00421-005-0081-9
Altitude adjustment of equivalent performance — the Performance calculator
Minetti, A. E. et al. (2002). Energy cost of walking and running at extreme uphill and downhill slopes. Journal of Applied Physiology, 93(3).
Grade-adjusted effort on hilly courses — the Performance & Race Fuel planners
Foster, C. et al. (2001). A new approach to monitoring exercise training. Journal of Strength and Conditioning Research, 15(1). doi:10.1519/00124278-200102000-00019
Session-RPE training-load monitoring
Riegel, P. S. (1981). Athletic Records and Human Endurance. American Scientist, 69(3).
Race-time prediction across distances — the Race Time Predictor
Daniels, J. & Gilbert, J. (1979). Oxygen Power: Performance Tables for Distance Runners. Tafnews Press.
VO₂ max & training-pace estimation — the VO₂ Max and Training Pace calculators
Karvonen, M. J., Kentala, E. & Mustala, O. (1957). The effects of training on heart rate: a longitudinal study. Annales Medicinae Experimentalis et Biologiae Fenniae, 35(3).
Heart-rate-reserve training zones — the Heart Rate Zone calculator