Table 7 Training effect matrix by athlete characteristics.

From: Machine learning-based personalized training models for optimizing marathon performance through pyramidal and polarized training intensity distributions

Athlete characteristic

Category

Pyramidal training

Polarized training

Optimal approach

p-value

Experience level

Novice (< 2 yrs)

+ 12.4%

+ 5.8%

Pyramidal (+ 32.4%)

< 0.01

Intermediate (2–5 yrs)

+ 8.9%

+ 9.3%

No difference

0.64

Advanced (5–8 yrs)

+ 6.3%

+ 11.2%

Polarized (+ 21.9%)

< 0.01

Elite (> 8 yrs)

+ 5.6%

+ 13.7%

Polarized (+ 27.6%)

< 0.01

Age group

18–30 years

+ 9.8%

+ 10.2%

No difference

0.58

31–40 years

+ 8.5%

+ 11.3%

Polarized (+ 12.5%)

< 0.05

41–50 years

+ 11.4%

+ 7.9%

Pyramidal (+ 15.2%)

< 0.05

> 50 years

+ 10.9%

+ 6.8%

Pyramidal (+ 18.7%)

< 0.01

Baseline VO₂max

< 45 ml/kg/min

+ 11.2%

+ 10.8%

No difference

0.72

45–55 ml/kg/min

+ 12.4%

+ 8.3%

Pyramidal (+ 17.6%)

< 0.01

> 55 ml/kg/min

+ 6.9%

+ 13.5%

Polarized (+ 23.8%)

< 0.01

Running mechanics

Heel Striker

+ 11.7%

+ 8.4%

Pyramidal (+ 14.3%)

< 0.05

Midfoot Striker

+ 9.2%

+ 10.8%

No difference

0.18

Forefoot Striker

+ 7.5%

+ 12.7%

Polarized (+ 20.6%)

< 0.01