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In order to reduce the influence of these sources of variance, we reran the main analyses using sequential logistic regression having recoded the WMH variables (0 = no WMH, and 1 = >0 WMH).
We therefore repeated the main analyses using this sample.
We repeated the main analyses using this alternative set of exposures.
Main analyses using logarithmically transformed PWV, in place of PWV, produced similar strength of associations with adiposity.
Table 2> -wrap-foot> shows the results of our main analyses using the categorical variable for population change.
We repeated the main analyses, using school greenness and home school greenness index (one at a time) as alternative exposures.
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The main analyses used the Taiwanese general population as a reference.
Our main analyses used only the data extracted from trials without evident high risk of bias.
Main analyses used Stata V.12 for Windows (StataCorp, College Station, Texas, USA).
The main analyses used the continuous SDQ measures of mental health.
Our main analyses used multiple imputation to replace missing values for systolic blood pressure, cholesterol, smoking status, alcohol status and body mass index.
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