Effects of Polarized and Threshold Intensity Distribution Models on Race Time and Body Composition in Recreational Runners Aged 20-45 Years.
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Простыми словами
Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.
- Что изучают
- В протоколе указаны: Polarized intensity distribution model, Threshold intensity distribution model.
- Кому может быть актуально
- Состояния в реестре: Physical Activity, Physical Activity Intensity, Physical Activity in Adults, Running. Базовые параметры: 20 лет — 45 лет · Все.
- Что важно проверить
- Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
- Где проводится
- Колумбия
- Следующий шаг
- Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →
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Официальное название
Effects of Polarized and Threshold Intensity Distribution Models on Race Time and Body Composition in Recreational Runners Aged 20-45 Years: a Randomized Controlled Trial
Обзор
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.
Подробное описание
This randomized controlled trial will investigate the effects of two different intensity distribution training (TID) models: polarized (POL) and threshold (THR), on race time and body composition in recreational runners.
A total of 40 participants aged between 20 and 45 years will be randomly assigned to either the POL group or the THR group. Both groups will complete a 12-week training intervention. The polarized model will emphasize a high volume of low-intensity training (Zone 1) with small amounts of high-intensity work (Zone 3), while the threshold model will include a greater proportion of training at moderate intensity (Zone 2).
The primary outcome will be 5-km race time measured in minutes/seconds. Secondary outcomes will include body composition variables such as body fat percentage and lean mass.
Assessments will be conducted at baseline and after the 12-week intervention. The study aims to determine whether polarized training produces superior improvements compared to threshold training in recreational runners.
Вмешательства
- Другое Polarized intensity distribution model
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 frequenc - Другое Threshold intensity distribution model
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 frequen
Первичные конечные точки
- Primary Objective [Срок оценки: 12 weeks]
Вторичные конечные точки (1)
- Secondary Objective [Срок оценки: 12 weeks]
Критерии участия
Критерии включения
- Age between 20 and 45 years.
- 1 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.
Критерии исключения
- Having a chronic noncommunicable disease.
- Smoking or drinking alcohol.
- Having a musculoskeletal injury.
- Failing to sign the informed consent form.
- 10% attendance rate at training sessions.
Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.
Здоровые добровольцы: Да
Дизайн исследования
- Распределение
- Рандомизированное
- Модель
- Параллельные группы
- Маскирование
- Двойное слепое
- Основная цель
- Фундаментальное исследование
Центры проведения
Колумбия · 1 центр
- Colegio San Bartolome La Merced — Bogotá
Публикации
- Zinner C, Schafer Olstad D, Sperlich B. Mesocycles with Different Training Intensity Distribution in Recreational Runners. Med Sci Sports Exerc. 2018 Aug;50(8):1641-1648. doi: 10.1249/MSS.0000000000001599. PMID 29509644
- Treff G, Winkert K, Sareban M, Steinacker JM, Sperlich B. The Polarization-Index: A Simple Calculation to Distinguish Polarized From Non-polarized Training Intensity Distributions. Front Physiol. 2019 Jun 12;10:707. doi: 10.3389/fphys.2019.00707. eCollection 2019. PMID 31249533
- Stoggl TL, Sperlich B. The training intensity distribution among well-trained and elite endurance athletes. Front Physiol. 2015 Oct 27;6:295. doi: 10.3389/fphys.2015.00295. eCollection 2015. PMID 26578968
- Stoggl T, Sperlich B. Polarized training has greater impact on key endurance variables than threshold, high intensity, or high volume training. Front Physiol. 2014 Feb 4;5:33. doi: 10.3389/fphys.2014.00033. eCollection 2014. PMID 24550842
- Rosenblat MA, Perrotta AS, Vicenzino B. Polarized vs. Threshold Training Intensity Distribution on Endurance Sport Performance: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. J Strength Cond Res. 2019 Dec;33(12):3491-3500. doi: 10.1519/JSC.0000000000002618. PMID 29863593
- Rosado J, Duarte JP, Sousa-E-Silva P, Costa DC, Martinho DV, Valente-Dos-Santos J, Rama LM, Tavares OM, Conde J, Castanheira J, Soles-Goncalves R, Courteix D, Coelho-E-Silva MJ. Body composition among long distance runners. Rev Assoc Med Bras (1992). 2020 May 15;66(2):180-186. doi: 10.1590/1806-9282.66.2.180. PMID 32428153
- Knechtle B, Tanous DR, Wirnitzer G, Leitzmann C, Rosemann T, Scheer V, Wirnitzer K. Training and Racing Behavior of Recreational Runners by Race Distance-Results From the NURMI Study (Step 1). Front Physiol. 2021 Feb 4;12:620404. doi: 10.3389/fphys.2021.620404. eCollection 2021. PMID 33613312
- Kim, 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
Идентификаторы
NCT: NCT07498608 · 340ETIC-020-2026