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A principal component analysis reduced the original fitness variables to three uncorrelated principal components, two associated with the maternal plant and the other one with the offspring.
Fitness variables remaining in the final regression model were used to stratify volunteers in four performance groups of a similar number of participants for each performance test.
Second, fitness variables and PA were measured with methods having different levels of reliability and validity.
The association between the estimated energy expenditure EEPAwalking, EEPAmoderate, EEPAvigorous and EEPAtotal with body composition and fitness variables was determined with the Pearson's correlation test.
Differences in body composition and fitness variables between the three IPAQ (low, moderate and high) PA categories were tested with analysis of variance with the Bonferroni pot hoc test.
Pearson's correlation coefficients between physical fitness variables and estimated energy expenditure by IPAQ are shown in Table 2. Cardiorespiratory fitness was positively associated with LogEEPAmoderate (r = 0.26, P<0.05) and LogEEPAvigorous (r = 0.27, P<0.05).
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This is in large part the result of what may be his most significant contribution to the field of fitness: variable-loading weight training.
Also, a composite fitness variable was created.
Second, aster analysis accounts for the dependence of one fitness variable on another.
Bayesian analysis in Amos 18 [ 49] employs a Markov Chain Monte Carlo (MCMC) algorithm for estimating posterior distributions, and properly accounts for the binomial status of our fitness variable.
In addition, Cooper's and individual muscle fitness test results were combined into a single variable to explore whether the combined fitness variable, representing co-impairment, would be more strongly associated with the occurrence of MSDs.
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