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Introduction: The present study investigated the role of training intensity in the dose–response relationship between endurance training and cardiorespiratory fitness (CRF). The hypothesis was that beginners would benefit from an increase in training intensity after an initial training phase, even if the energy expenditure was not altered. For this purpose, 26 weeks of continuous moderate training (control group, CON) was compared to training with gradually increasing intensity (intervention group, INC) but constant energy expenditure.
Methods: Thirty-one healthy, untrained subjects (13 men, 18 women; 46±8 years; body mass index 25.4 ± 3.3 kg m−2; maximum oxygen uptake, VO2max −1 −1 34 ± 4 ml min kg ) trained for 10 weeks with moderate intensity [3 days/week for 50 min/session at 55% heart rate reserve (HRreserve)] before allocation to one of two groups. A minimization technique was used to ensure homogeneous groups. While group CON continued with moderate intensity for 16 weeks, the INC group trained at 70% HRreserve for 8weeks and thereafter participated in a 4 × 4 training program (high-intensity interval training, HIIT) for 8 weeks. Constant energy expenditure was ensured by indirect calorimetry and corresponding adjustment of the training volume. Treadmill tests were performed at baseline and after 10, 18, and 26 weeks.
Results: The INC group showed improved VO2max (3.4 ± 2.7 ml kg−1 min−1) to a significantly greater degree than the CON group (0.4 ± 2.9 ml kg−1 min−1) (P = 0.020). In addition, the INC group exhibited improved Vmax (1.7 ± 0.7 km h−1) to a significantly greater degree than the CON group (1.0 ± 0.5 km h−1) (P = 0.001). The reduction of resting HR was significantly larger in the INC group (7±4bpm) than in the CON group (2±6bpm) (P=0.001). The mean heart rate in the submaximal exercise test was reduced significantly in the CON group (5±6bpm; P=0.007) and in the INC group (8±7bpm; P=0.001), without a significant interaction between group and time point.
Biomedizinische Statistik
(2024)
Die klassische konfirmatorische Statistik, auch frequentistische Statistik genannt, setzt voraus, dass man theoretisch unendlich viele Stichproben ziehen kann, und dass dann die aus den Stichproben berechnete Prüf- oder Testgröße unter der Nullhypothese H0 eine bestimmte Verteilung annimmt. Meistens sind die Testgrößen so konstruiert, dass bei Ziehung der Stichproben aus immer derselben Grundgesamtheit (es gilt die Nullhypothese H0) eine Verteilung der Testgröße um den Wert null herum entsteht, z.B. in Form einer Glockenkurve, d.h., kleine Werte überwiegen. Große Werte der Prüf- oder Testgröße kommen mit geringer Wahrscheinlichkeit vor und signalisieren einen möglichen Ausnahmefall. Statt anzunehmen, dass einer der seltenen Fälle einer großen Prüfgröße eingetroffen ist, nimmt man lieber an, dass sich die Grundgesamtheiten unterscheiden (Alternativhypothese HA).