Anywhere between really low intensities out of do so and rest, the fresh new slope of one's linear relationship between VO - JM PERROT Photographe
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Anywhere between really low intensities out of do so and rest, the fresh new slope of one’s linear relationship between VO

Anywhere between really low intensities out of do so and rest, the fresh new slope of one’s linear relationship between VO


The results are according to the ones from McCrory et al

One reason for the good reproducibility on the group level for model 1, despite only making use of three submaximal work rates, can be the span of the HR attained between work rate 1 and 3 (in average 98–137 and 98–150 for males and females, respectively). It is equally important that the utilized ranges of HR from cycle commuting (in average 113–149 and 118–154 for males and females, respectively) are within, or only slightly above, the range of the HR from the work rates in the laboratory (cf. Tables 3 and 5). If instead VO2 would be estimated from higher or lower HR than those established in the laboratory, it is possible that greater test-retest differences would be seen (cf. Fig 1).

Finally, the fresh methods regarding twenty four-time Hours from the Christensen ainsi que al

A comment on the field heart rates used is that almost half the cyclists were tested in the laboratory at a different time of day compared to their cycle commuting tests. However, McCrory et al. found that within-day variations were not significantly different at the higher activity levels in their study, i.e. normal to fast walking. Thus our population probably had levels of intensity that were high enough to eliminate circadian influences. Another comment favoring a stability in the measurement conditions is that the mean values for the positions of % HRmax used to establish the HR-VO2 relations related well to the expected VO2 relative to VO2max in both sexes .

, and considerably more favourable in relation to using the HR-VO2 method than those indicated by Christensen et al. . There are several explanations for that. The measurements used by Christensen et al. for establishing HR-VO2 regression equations were resting and sitting, as well as three low to intermediate exercise rates on an ergometer cycle (8–100 watt) and three exercise rates on a treadmill, thus altogether eight measurement points. For both the slope and the y-intercept of the regression equations, the measurements at low levels of HR are, under those circumstances, more influential. At the same time it is well known that the HR-VO2 ratios at rest https://datingranking.net/pl/christiancafe-recenzja/ and sitting are quite unstable, resulting in variations in regression equations [11, 25, 41]. 2 and HR will be higher after a certain HR level, which has been termed “flex HR” [12, 42, 43], which could be another reason for the results of Christensen et al. . Furthermore, they mixed the work forms of cycle ergometer and treadmill as bases for the HR-VO2 measures, which is in itself problematic, since the HR response for a given VO2 can differ in these different forms of movement . This creates a greater risk for non-stability in regression equations with repeated measurements. resulted in a mean value of 86 beats per minute. In line with the reasoning in the Introduction (cf. Fig 1) a heart rate close to the endpoint of the spectrum of measurement points forming the regression equation will most probably lead to lower reproducibility. Another potential explanation for their results relates to their use of a heterogeneous sample of predominantly patients and large variations in age, whereas we studied a sample of healthy and physically active middle aged individuals.

With stated that, one should just remember that , the brand new outside legitimacy away from all of our conclusions regarding other kinds of participants is actually uncertain. Ergo, in order to submit the entire degree on these areas, there clearly was actually a need for subsequent education of those matters.

Furthermore, we do not know any thing in regards to the additional validity of the Hr strategy in the laboratory regarding job criteria like given that during years commuting. About three studies have examined this new intensity of years driving having fun with more Hr procedures from inside the types of non-normal period commuters [45, 46, 47]. not, none ones knowledge considered that, to possess explanations such aerobic drift having stretched functions durations [twelve, forty-eight, 49] or be concerned due to site visitors requirements [fifty, 51], the connection mentioned in the laboratory may vary when being in a cycle commuting environment, hence thus the shown intensity of cycle travelling could be incorrect. It is the focus within our next studies.