Effects of Polarized and Threshold Intensity Distribution Models on Race Time and Body Composition in Recreational Runners Aged 20-45 Years.
1 other identifier
interventional
20
1 country
1
Brief Summary
This study aims to compare the effects of two intensity distribution training (TID) models-polarized and threshold-on 5-km race time and body composition in recreational runners aged 20 to 45 years. Participants will be randomly assigned to one of two groups and will complete a 12-week structured training program. The primary outcome will be 5-km race time, while secondary outcomes will include changes in body composition. Assessments will be conducted before and after the intervention period.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Mar 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 16, 2026
CompletedFirst Submitted
Initial submission to the registry
March 17, 2026
CompletedFirst Posted
Study publicly available on registry
March 27, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 27, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
July 5, 2026
CompletedMay 1, 2026
March 1, 2026
1 month
March 17, 2026
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Primary Objective
Outcome Measure: 5-km race time Description: Time to complete a 5-km run measured in minutes and seconds.
12 weeks
Secondary Outcomes (1)
Secondary Objective
12 weeks
Study Arms (2)
Control
ACTIVE COMPARATORExperimental
EXPERIMENTALInterventions
Regarding the intervention, it will last 12 weeks, a period during which physiological adaptations to endurance training occur, as Neuman (1994) states with chronological cycles of 8 to 12 weeks. For the TID POL model, the intensity distribution was as follows: Zone 1 (80%), Zone 2 (5%), and Zone 3 (15%). The training periodization for the two TID models was designed using a 3:1 weekly block structure, meaning three weeks of training followed by one week of recovery. The weekly training frequency will consist of four running sessions, each including 10 minutes of running technique drills and two strength training sessions. The running sessions will have the same training volume across the three blocks, which span weeks 1-3, 5-7, and 9-11. The first week of each block will have a volume of 240 minutes, the second week 300 minutes, and the third week 360 minutes. Recovery weeks 4, 8, and 12 will have a volume of 180 minutes.
Regarding the intervention, it will last 12 weeks, a period during which physiological adaptations to endurance training occur, as Neuman (1994) states with chronological cycles of 8 to 12 weeks. For the TID THR model, the intensity distribution was as follows: Zone 1 (50%), Zone 2 (40%), and Zone 3 (10%), The training periodization for the two TID models was designed using a 3:1 weekly block structure, meaning three weeks of training followed by one week of recovery. The weekly training frequency will consist of four running sessions, each including 10 minutes of running technique drills and two strength training sessions. The running sessions will have the same training volume across the three blocks, which span weeks 1-3, 5-7, and 9-11. The first week of each block will have a volume of 240 minutes, the second week 300 minutes, and the third week 360 minutes. Recovery weeks 4, 8, and 12 will have a volume of 180 minutes.
Eligibility Criteria
You may qualify if:
- Age between 20 and 45 years.
- to 3 years of experience.
- Men's race time between 25:00 and 40:00.
- Women's race time between 28:00 and 43:00.
- Must reside in Bogotá or surrounding municipalities at an altitude of 2,640 meters above sea level.
- Must have a GPS device.
You may not qualify if:
- Having a chronic noncommunicable disease.
- Smoking or drinking alcohol.
- Having a musculoskeletal injury.
- Failing to sign the informed consent form.
- % attendance rate at training sessions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Colegio San Bartolome La Merced
Bogotá, Bogota D.C., 110321, Colombia
Related Publications (22)
Zinner, C. Schafer, D. and Sperlich, B. (2018). Mesocycles with Different Training Intensity Distribution in Recreational Runners. American College of Sports Medicine. 0195-9131/18/5008-1641/0.
BACKGROUNDTreff G, Winkert K, Sareban M,Steinacker JM and Sperlich B (2019). The Polarization Index: A SimpleCalculation to Distinguish Polarized From Non-Polarized Training IntensityDistributions. Front. Physiol. 10:707.doi: 10.3389/fphys.2019.00707.
BACKGROUNDStöggl TL and Sperlich B (2015) The training intensity distribution among well-trained and elite endurance athletes. Front. Physiol. 6:295. doi: 10.3389/fphys.2015.00295
BACKGROUNDStöggl T y Sperlich B (2014) Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training.doi: 10.3389/fphys.2014.00033
BACKGROUNDRosenblat M.A., Perrotta A.S. and Vicenzino B. (2018). Polarized vs. Threshold Training Intensity Distribution on Endurance Sport Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J. Strength Cond. Res. 2018 May 30. doi: 10.1519/JSC.0000000000002618
BACKGROUNDRosado. J, Duarte. J, Sousa-E-Silva. P, Costa. D, Martinho. D, Valente-Dos-Santos. J, Rama. L, Tavares, Ó. Conde, J. Castanheira, J. Soles-Gonçalves, R. Courteix, D. Coelho-E-Silva, M. (2020). Body composition among long distance runners. Revista da Associacao Medica Brasileira, V 66. P. 180-186.
BACKGROUNDKnechtle. B, Tanous. DR, Wirnitzer. G, Leitzmann. C, Rosemann. T, Scheer, V. and Wirnitzer, K. (2021) Training and Racing Behavior of Recreational Runners by Race Distance-Results From the NURMI Study (Step 1). Front. Physiol. 12:620404. doi: 10.3389/fphys.2021.620404.
BACKGROUNDKim, J., Young, B., & Song, S. (2018). Reliability and agreement of various InBody body composition analyzers (InBody-230, InBody-720, InBody-770) vs DEXA. Journal of Strength and Conditioning Research. https://doi.org/10.1519/JSC.0000000000003374
BACKGROUNDKim, H. J., Jung, H. W., Kim, M. J., Kim, D. H., Park, I., Ryu, J. K., & Jung, Y. (2022). Validation of a multi-frequency bioelectrical impedance analysis (InBody-770) for assessing body composition in older adults with type 2 diabetes mellitus compared to DXA. Journal of Diabetes Investigation, 13(2). https://doi.org/10.1111/jdi.13967
BACKGROUNDHottenrott, K. Ludyga, S. Schulze, S. (2012). Effects of high intensity training and continuous endurance training on aerobic capacity and body composition in recreationally active runners. Journal of Sports Science and Medicine, 11, 483-488.
BACKGROUNDFriedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., & Granger, C. B. (2015). Fundamentals of clinical trials (5th ed.). Springer.
BACKGROUNDFilipas, L. Bonato, M. Gallo, G. Codella, R. (2022). Effects of 16 weeks of pyramidal and polarized training intensity distributions in well-trained endurance runners. Scandinavian Journal of Medicine and Science in Sports.
BACKGROUNDFesta. L, Tarperi. C, Skroce. K, La Torre. A, and Schena. F. (2020) Effects of Different Training Intensity Distribution in Recreational Runners. Front. Sports Act. Living 1:70. doi: 10.3389/fspor.2019.00070
BACKGROUNDFaude, O., Kindermann, W., & Meyer, T. (2009). Lactate threshold concepts: How valid are they? Sports Medicine, 39(6), 469-490. https://doi.org/10.2165/00007256-200939060-00003
BACKGROUNDBoullosa. D, Esteve-Lanao. J, Casado. A, Peyré-Tartaruga. L, Da Rosa. R, Del Coso. J. (2020). Factors affecting training and physical performance in recreational endurance runners. sports. 8, 35; doi:10.3390/sports8030035
BACKGROUNDBomba T. (2016). Periodización. Teoría y metodología del entrenamiento. Editorial Hispano Europea, S.A. ISBN:9788425514654, 8425514657 pg 91.
BACKGROUNDBernal-Reyes, F., Peralta-Mendívil, A., Gavotto-Nogales, H. H., & Placencia-Camacho, L. (2014). Principios de entrenamiento deportivo para la mejora de las capacidades físicas. Biotecnia, 16(3), 42-49.
BACKGROUNDCruz-González, J. Arboleda-Serna, V. (2022). Training intensity distribution on running time in amateur endurance runners: A scoping review. Revistade Investigación e Innovación en Ciencias de la Salud.4(2), 137-149. https://doi.org/10.46634/riics.136.
BACKGROUNDCruz-Gonzalez, J. Castillo, C. Cardozo, L. Arboleda, V. (2024). Effects of polarized and pyramidal training, with or without mindfulness, on race time and performance in amateur runners: Protocol for a randomized controlled trial. Retos, 60, 1271-1278.
BACKGROUNDMuñoz Pérez, I. (2016). Métodos de cuantificación de la carga de entrenamiento en deportes de resistencia cíclica. Búsqueda, 3(16), 53-63. https://doi.org/10.21892/01239813.166 https://doi.org/10.1016/S0735-1097(00)01054-8 .
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BACKGROUNDNeumann, G. (1994). Fisiología del entrenamiento: teoría y práctica del entrenamiento (1.ª ed.). Barcelona, España: Paidotribo.
BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY DIRECTOR
Eduar Ceballos
Universidad Pedagogica Nacional
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal investigator
Study Record Dates
First Submitted
March 17, 2026
First Posted
March 27, 2026
Study Start
March 16, 2026
Primary Completion
April 27, 2026
Study Completion
July 5, 2026
Last Updated
May 1, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share