SWIMMING FASTEST MAGLISCHO PDF
PDF | MAGLISCHO E. Swim training theory. endurance training makes it possible for athletes to swim faster through the. middle of races. Request PDF on ResearchGate | On Jan 1, , E. Maglischo and others published Swimming fastest. The essential reference on technique, training, and . Swimming Fastest. The Essential Download and Read Free Online Swimming Fastest. Program Design by Ernest W. Maglischo ebook PDF download.
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As both a swimmer and a coach, I have seen how Also on my bookshelf is “ Swimming Faster” by Ernie Maglischo. I did not 2. The Mental Prep for Swim Racing Guide Book (pdf) - A description of the theory and methods. ernest maglischo swimming fastest pdf. Prescott, resourceone.infoher of Health and Physical Activity books, articles, journals, videos, courses, and webinars. Swimming. For several years many of the world's best backstroke swimmers, both male during that portion of the arm stroke, This should, in turn, result in a faster stroke.
This model combines a latent class model to identify homogeneous latent groups of subjects, and a mixed model to describe the mean trajectory over time in each latent group, while taking into account the individual correlation between repeated measures.
The hlme function of the lcmm R-package was used to estimate the model parameters Proust-Lima et al. The training trajectories were described according to the number of weeks preceding the best performance of the season using spline functions without adjustment for baseline covariates. The shapes of the group-specific and subject-specific trajectories were determined by comparing models with an increasing number of parameters 1—15 knots in the spline functions of time, a diagonal or unstructured random-effect covariance matrix, and a class-specific or proportional random-effect covariance matrix.
The best model among those with the same number of groups was selected using the Akaike Information Criterion. Individual class membership was not fixed, and estimated on the highest probability of belonging to a given class from a multinomial logistic model. In each run, the number of distinct classes had to be specified.
The decision about the number of latent classes 1—5 was based on both the Bayesian Information Criterion and interpretation of the distinct groups.
Thirdly, we characterized the highlighted profiles in terms of demographic characteristics, swim specialty, time-variant covariates, distribution of training intensities, and relative performance. Paired T or Wilcoxon signed-rank tests if T-test conditions were not fulfilled were used to determine differences within each first-half and second-half pair of training volumes.
MANOVAs were used to determine differences in in-water training proportions and dryland training proportions after applying the isometric logratio transformation for compositional data among groups Bacon-Shone, Given the exploratory nature of this observational study, association tests between profiles and covariates were performed on the assumption that the number of profiles was correct and subjects were classified correctly, with a significance level of 0.
Results Training Profiles in Sprinters: Identification The total number of swimmer-seasons analyzed was Three groups, each with a distinct training profile, were identified over the 25 weeks preceding the best performance of the season Figure 1 , right axis.
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The Long group and the Balanced group showed two-macrocycle profiles with marked fluctuations in each macrocycle consisting of a progressive load increase in the beginning of the macrocycle, one or two load peaks lasting 1—3 weeks, and a progressive load decrease lasting 2—4 weeks corresponding to the taper period. The Stable Flat group showed a more regular pattern and a longer second cycle approximately 16 vs. Sprint swimmers 46 swimmers, swimmer-seasons.
Training Profiles in Sprinters: Characterization In terms of performance, training contents and distributions, sprint trajectory groups could be characterized as follows. The Long group showed the best performance 6. Tables 1 , 2 presents the predominant demographic and swimming characteristics of each of the three outcome groups. The Balanced group was mostly composed of swimmers in the early seasons of the study period mostly the September —September Olympic cycle and, similarly, most of the Stable Flat group was from the September —September Olympic cycle.
Summary of predominant characteristics of sprint swimmers by periodization profile of training. Trajectory groups for sprint swimmers by demographic characteristics, swim specialty and time-variant covariates.
Figure 2 , 1st row, shows the differences between the training profile groups with respect to the volume in absolute values. Moderate-to-heavy 1st column , Severe- 2nd column , Extreme- 3rd column intensity training, General conditioning 4th column , and Strength training 5th column means per swimmer-season distributions by group in sprint swimmers using box plots solid circles indicate the mean values.
Mean per swimmer-season values were calculated over the week period 1st row , the 1st half of this period 2nd row or the 2nd half of this period 3rd row. Deakin University Library. Edith Cowan University Library.
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Ernest Maglischo PDF
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Swimming Fastest by Ernest W. Maglischo (2003, Hardcover)
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Ernest Maglischo PDF
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Actions Shares. Embeds 0 No embeds.Open to the public Figure 2 , 4th row, shows the proportion of each training intensity for in-water and dryland training by group. Human Kinetics Brand: The book is heavily illustrated, with more than illustrations and photos featuring world-class swimmers.
Swimming Fastest covers every aspect of competitive swimming. Physiological Responses to Exercise
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