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Overall, however, there was good correspondence between measures derived from the two methods.
Finally, the association between measures derived from our questionnaire and physical or mental conditions merits further study.
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Capitalizing on a study that started with wrist placement and shifted to waist placement, we compared associations between PA measures derived from different accelerometer locations with a responsive arterial health indicator, carotid-femoral pulse wave velocity (cfPWV).
Significant moderate to large correlations were observed for the backs between contact measures derived from performance analysis and both ΔCK and Δ% CK at 16 and 40 h post-match (p < 0.05).
The difference (relative error) between graph theory measures derived from empirical and simulated data was then estimated.
Analysis of forwards show significant moderate correlations between various contact measures derived from performance analysis and both ΔCK and % change in CK (Δ% CK) at 16 and 40 h post-match (Table 2, p < 0.05).
Furthermore, we demonstrated significant relationships between various contact measures derived from performance analysis (e.g. tackles made, hit-ups) and changes in CK concentrations at both 16 and 40 h post-match.
The Kruskal Wallis non-parametric ANOVA test was used to test for significant differences between each of the measures derived from raw accelerometry for low, moderate and high self-reported PA.
When the dugongs were within the range of the acoustic array, there was relatively good correspondence between the overall space use measures derived from GPS and acoustic transmitters, demonstrating that acoustic tracking is a potentially valuable and cost-effective tool for monitoring local dugong habitat use in environments equipped with acoustic receiver arrays.
In addition, we examined correlations between GM volume, IQ and autism symptom measures derived from diagnostic interviews.
We will include carefully selected exposure components and outcome measures derived from plausible hypothesised relationships between structural exposures, process of care indicators and outcome measures.
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