Must my hard intervals come late in the build, near the race?
Not necessarily: one world-class skier won with HIT heaviest early in concentrated blocks and, years later, with HIT rising toward racing. One athlete, no tests.
Solli and colleagues compared two seasons of the world's most successful cross-country skier, both of which brought World Cup victories in sprint and distance races and the overall and sprint World Cup titles: one using block periodization of high-intensity training (BP, 2005-2006) and one using a traditional model (TRAD, 2014-2015).
The seasons were picked for success, equal endurance training load (TRIMP: minutes at low, moderate and high intensity weighted 1, 2 and 3) and detailed records.
Weekly load showed no evidence of a difference (1058 ± 368 vs 1084 ± 339 TRIMP; the seasons were chosen for equal load), but BP was 15% lower in volume (15 vs 18 h a week; 795 vs 938 h a year), with less low-intensity (LIT) time, far fewer moderate sessions (13 vs 38 a year) and twice as many HIT sessions (157 vs 77).
In BP, HIT was high from the first preparation period and fell toward competition, and 73 of the HIT sessions came in seven HIT blocks of 7-11 days with 8-13 HIT sessions each, about four weeks apart; in TRAD, HIT rose toward the competition period.
Average international race rank was 4.2 in BP and 2.8 in TRAD, and the authors found no difference in how performance developed through each competition season. Looking back, athlete and coaches judged the block model effective for her first seasons with it (2004-2006) but said she should then have switched focus; her performance stagnated in the following years.
Our reading: one exceptional athlete succeeded with HIT front-loaded in concentrated blocks and with HIT rising toward racing at the same load, which argues against any rule that the hard work must come late — and says nothing about which is better.
Protocol
Key Results
Whole year (weekly values from Table 1, mean ± SD, * significantly different, P < 0.05; annual counts, race rank and illness, no-training and altitude days from the Results text):
| Measure | BP (2005-06) | TRAD (2014-15) |
|---|---|---|
| Annual volume | 795 h, 478 sessions | 938 h, 538 sessions |
| Hours a week | 15.3 ± 5.9 | 18.0 ± 6.7 * |
| Endurance load (TRIMP a week) | 1058 ± 368 | 1084 ± 339 |
| LIT hours a week | 12.6 ± 5.2 | 14.8 ± 5.3 * |
| MIT sessions a year | 13 | 38 |
| HIT sessions a year | 157 | 77 |
| HIT hours a week | 1.6 ± 1.2 | 0.7 ± 0.6 * |
| Time in LIT / MIT / HIT | 88 / 1 / 11% | 92 / 4 / 4% |
| Sessions LIT / MIT / HIT | 61 / 3 / 36% | 76 / 8 / 16% |
| HIT hours a week: GP1 / GP2 / SP / CP | 1.9 / 1.7 / 1.7 / 1.2 | 0.4 / 0.8 / 0.7 / 1.0 |
| HIT sessions a week: GP1 / GP2 / SP / CP | 3.8 / 3.3 / 3.6 / 2.3 | 0.8 / 1.5 / 1.9 / 2.1 |
| Strength hours a week | 0.8 ± 0.6 | 1.7 ± 1.2 * |
| Average international race rank | 4.2 ± 4.4 | 2.8 ± 5.8 |
| Illness days / days without training / days at altitude | 7 / 36 / 58 | 9 / 36 / 54 |
Mechanisms
Practical Application
Limitations
How this entry was checked and changed
single case study (rubric C+), descriptive; read from the full text (open access, CC BY 4.0). The two seasons were chosen by the authors for success and equal load, and performance was compared only as average race rank