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1.
Article in English | MEDLINE | ID: mdl-36900796

ABSTRACT

The aim of the present study was to describe a novel training model based on lactate-guided threshold interval training (LGTIT) within a high-volume, low-intensity approach, which characterizes the training pattern in some world-class middle- and long-distance runners and to review the potential physiological mechanisms explaining its effectiveness. This training model consists of performing three to four LGTIT sessions and one VO2max intensity session weekly. In addition, low intensity running is performed up to an overall volume of 150-180 km/week. During LGTIT sessions, the training pace is dictated by a blood lactate concentration target (i.e., internal rather than external training load), typically ranging from 2 to 4.5 mmol·L-1, measured every one to three repetitions. That intensity may allow for a more rapid recovery through a lower central and peripheral fatigue between high-intensity sessions compared with that of greater intensities and, therefore, a greater weekly volume of these specific workouts. The interval character of LGTIT allows for the achievement of high absolute training speeds and, thus, maximizing the number of motor units recruited, despite a relatively low metabolic intensity (i.e., threshold zone). This model may increase the mitochondrial proliferation through the optimization of both calcium and adenosine monophosphate activated protein kinase (AMPK) signaling pathways.


Subject(s)
Lactic Acid , Running , Oxygen Consumption/physiology , Physical Education and Training , Physical Endurance/physiology , Running/physiology , Humans
2.
Article in English | MEDLINE | ID: mdl-33003570

ABSTRACT

The aim of the study was to determine how many Norwegian athletes who, during all the times they had achieved the European Athletics Championship 2020-Entry Standards (EAC20ES), were also ranked among the 20 all-time-best athletes at the ages of 15 and 18 years. The number of athletes who achieved the EAC20ES during their career, and the percentage of those who were among top 20 in the age groups 15 and 18 years, were determined from the Norwegian all-time-best results lists. A total of 202 athletes achieved the EAC20ES in the studied time period. Of these, 14.4% and 42.1% were ranked among the top 20 all-time best in one or more events at the ages of 15 and 18 years, respectively. However, among those who had won an international gold medal, these percentages were much higher. Eight out of 12 champions (66.7%) were ranked among the top 20 all-time best in one or more event at 15 years of age, and 11 of 12 champions (91.6%) were ranked among the top 20 all-time best at 18 years of age. Athletes that went on to win international championships typically performed better as adolescents compared to other athletes who also reach an international level as seniors. However, due to the low number of international champions, the date should be interpreted with caution.


Subject(s)
Athletes , Athletic Performance , Track and Field , Adolescent , Female , Humans , Male , Time
3.
Int J Sports Physiol Perform ; 13(10): 1287-1292, 2018 Nov 01.
Article in English | MEDLINE | ID: mdl-29745739

ABSTRACT

PURPOSE: To determine whether training, performance, or physiological variables at age 18 can predict which athletes become World Tour (WT) riders at senior level. METHODS: Based on performance level at age 23, 80 competitive male cyclists were retrospectively categorized into 4 groups: retired (n = 21), club (n = 26), continental (n = 24), or WT (n = 9). Data collected at age 18 were analyzed to determine whether training, performance, or physiological variables differed significantly between groups. RESULTS: At age 23, 9 riders (11%) were WT level. These riders competed significantly more at age 18 than athletes who were club level (91.5 [19.1] h vs 62.8 [21.8] h, P = .032) or retired by age 23 (61.8 [23.4] h, P = .014). WT athletes placed significantly better in national road championships at age 18 than did continental, club, and retired athletes (all P < .01). Receiver-operating-characteristic analysis showed that placing at national championships at age 18 had good accuracy in predicting whether the athlete would later reach WT level (area under the curve = 0.882). WT athletes had significantly higher maximal aerobic power at age 18 than athletes who did not reach WT level (533 [23] vs 451 [41] W and 6.9 [0.4] vs 6.2 [0.4] W/kg, P < .05). CONCLUSION: Already at junior level, there were performance and physiological differences distinguishing those who later became WT riders. The findings emphasize the need for high volumes of training and competition, as well as a high level of race performance already at junior level, to become a successful elite road cyclist.

4.
Tidsskr Nor Laegeforen ; 130(12): 1246-9, 2010 Jun 17.
Article in Norwegian | MEDLINE | ID: mdl-20567277

ABSTRACT

BACKGROUND: The purpose of the study was to assess whether people could be motivated in a simple way to cycle regularly to and from work during one year, and to assess whether this could lead to any health-related physiological benefits. MATERIAL AND METHODS: 25 persons who cycled to and from work during one year were included in the study. Maximum oxygen uptake (VO2max) and body mass index (BMI) were measured at baseline, after six months and after one year. Total-cholesterol (TC) and HDL-cholesterol (HDL) were measured at the start and the end of the project. RESULTS: During the study VO 2max increased with 15.8 %; from 32.5 (8.1: SD) to 37.1 (7.6) ml x kg(-1) x min(-1) (p < 0.001). HDL-cholesterol increased with 15.3 %; from 1.31 (0.31) to 1.51 (0.40) mmol x l(-1) (p < 0.001). No changes were recorded for BMI. The numbers of cycling sessions were greatly reduced during the winter months because of poor cycling conditions. INTERPRETATION: This study shows that cycling to and from work may positively affect physiological variables and thereby have a beneficial health effect.


Subject(s)
Bicycling , Health Promotion , Bicycling/physiology , Body Mass Index , Female , Humans , Male , Oxygen Consumption , Time Factors , Work
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