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Simple and canonical correlations were performed to determine correlations between the assessment methods.
Correlation studies done between the assessment methods and indices readings did not show strong correlations either between the measurements or the magnitude of change pre-treatment and post-treatment.
Finally, we investigated the possible relationship between the assessment methods.
Levels of agreement between the assessment methods were acceptable (ρc > 0.40) for the number of GP visits and total number of medications used.
Fourth, differences in behavior during the 2 different reference periods would have weakened the degree of association between the assessment methods.
Overall, there was a good degree of correspondence between the assessment methods (no center with poor qualitative evaluation had a high score in the K-means comparison or vice versa).
Similar(53)
Where feasible we intended to use meta-analysis on the results of cohort studies, but given the small number of included cohorts and differences in the durations between studies, the measures of body fatness, and the assessment methods of correlation between total fat intake and outcomes, meta-analysis was not appropriate.
We also explore the correlations between the outcomes in lab-based tests and field-based tests in order to understand the relationships between the two assessment methods.
In spite of the low correlation between the two assessment methods (r 0.2), neither method showed an association between computer use and musculoskeletal symptoms.
The largest difference in sedentary time between the 2 assessment methods was found among older persons, while the largest difference in the duration of physical activity was found in young persons.
More detailed comparisons are needed to establish whether a real correlation exists between the different assessment methods, which are not based on the same criteria.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com