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Consequently, the assessment of moderator effects in regression designs can significantly enhance understanding of brain-behavior relationships.
Given that we did not observe any significant moderator effects in this dataset, these results appear to support the former scenario over the latter.
The purpose of this systematic review was to provide an overview of cross-sectional and longitudinal studies published in or after 2000 on physical activity, physical fitness and overweight in adolescents, and to identify mediator and moderator effects in the interrelationship among these three parameters particularly considering gender differences.
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Table 5 revealed no moderator effect in terms of L1 and L2 morphological awareness correlation.
It is important, however, to interpret this moderator effect in the light of its small effect size.
Mediator and moderator effects were detected in the interrelationship of BMI, fitness and physical activity.
Further, a warrant is needed as many moderator effects were found significant in the fixed effect models but not in the random effect models.
The few moderator effects that were found in the meta-analyses tended to put findings from the narrative review in a new perspective.
Except for a few cases, moderator effects were not significant in the random effect models because of the small number of studies, resulting in lower power or generalizability of moderator effects.
Note that inclusion of moderator effects on the means in essence implies partialling out the effect of the moderator, i.e., the variance shared with the moderator is accounted for, after which the remaining (residual) variance is decomposed into additive genetic influences (A), shared environmental influences (C), and unshared environmental influences (E).
In order to investigate possible communality of moderator effects, correlations between moderators were tested with Pearson correlations.
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