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Related Concept Videos

Crossover Experiments01:16

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...

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A Real-World High-Intensity Interval Training Protocol for Cardiorespiratory Fitness Improvement
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Block periodization vs. traditional periodization in high-intensity functional training: a randomized crossover

Florian Micke1, Julius Huelle1, Gommaar D'Hulst2

  • 1Department of Sport and Management, IST University of Applied Sciences, Duesseldorf, Germany.

Frontiers in Physiology
|June 5, 2026
PubMed
Summary

Block periodization (BP) improved maximal strength and reduced waist circumference in high-intensity functional training (HIFT) athletes compared to traditional periodization (TP). This training strategy optimizes performance adaptations without negatively impacting metabolic or cardiovascular health.

Keywords:
crossoverfunctional fitnessmaximal strengthmetabolic conditioningtraining organization

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Area of Science:

  • Sports Science
  • Exercise Physiology
  • Strength and Conditioning

Background:

  • High-intensity functional training (HIFT) demands concurrent development of strength and metabolic conditioning.
  • Optimal training periodization strategies for experienced HIFT athletes remain under investigation.

Purpose of the Study:

  • To compare the effects of block periodization (BP) versus traditional periodization (TP) on strength, conditioning, and health markers in experienced HIFT athletes.
  • To determine if concentrating high-intensity training loads offers advantages over evenly distributed loads.

Main Methods:

  • Twenty experienced HIFT athletes participated in a randomized controlled crossover trial.
  • Athletes completed two six-week, load-matched phases: BP (concentrated high-intensity training) and TP (evenly distributed intensity).
  • Outcome measures included maximal strength, benchmark performance, physiological stress (CMJ), and health markers (blood pressure, glucose, body composition).

Main Results:

  • Block periodization led to significantly greater improvements in maximal strength (isometric mid-thigh pull, deadlift 1RM, CrossFit Total) compared to TP.
  • BP resulted in a significant reduction in waist circumference, indicating favorable anthropometric changes.
  • A significant acute reduction in countermovement jump was observed during BP's concentrated loading week, indicative of functional overreaching, with no significant differences in metabolic conditioning or cardiovascular health markers between conditions.

Conclusions:

  • Concentrated loading via block periodization enhances maximal strength and positively alters body composition in trained HIFT athletes.
  • This periodization strategy effectively induces functional overreaching and is a viable method for optimizing performance adaptations in HIFT.
  • Block periodization does not compromise metabolic conditioning or cardiovascular health markers in this population.