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Many variables between the three platforms could account for the differences in extraction efficiency.
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.
In addition, ANCOVA with age and the percentage of body fat as covariables was also carried out to determine if differences in fitness variables between the three IPAQ physical activity categories could be explained by the influence of these two potential confounders.
Additional file 3: Differences in clinical variables between the three study groups.
The χ test was used for comparison of categorized variables between the three groups.
The Kruskal Wallis test was used to compare continuous variables between the three age groups.
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Before the exercise, there was no significant difference for any blood variables between the two trials.
There were no significant differences in the ultrasound variables between the two authors.
Linear regression was used to correlate changes in normally distributed variables between the two positions.
The difference in the two variables between the two groups is significant at the 95% confidence level.
The student's t-test was used to test for differences in acoustic tree sample variables between the two sites.
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