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Bootstrapping was used to directly compare predictors of core and non-core food timing.
Common predictors of core and non-core food introduction include maternal demographics.
In older children there is evidence of differential predictors of core and non-core food consumption.
A strength of this study is that it investigated predictors of core and non-core food and drinks in the same sample.
Ordinal logistic regression was used to examine predictors of core and non-core food introduction, with bootstrapping to test for differences between the core and non-core models.
Results indicate commonalities and differences in the predictors of core and non-core food intake; with only maternal intake important across all types.
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In our study, the magnitude of surgery was an independent risk factor for core hypothermia what is in agreement with other studies [ 9, 16] and like other studies [ 9, 16, 30, 31] that found that duration of anesthesia or surgery are risk factors for hypothermia, we concluded that anesthesia lasting longer than 3 hours was a predictor of core hypothermia with statistical significance.
Finally, all networks were investigated as predictors of language function (Core Language composite scores on CELF-IV) with multiple linear regression, to identify which network and which parameter (functional MRI signal change or functional connectivity) were most informative for predicting language outcome in children with epilepsy.
For example, Research has reported that the presence of chronic diseases is one of core predictors of SRH [ 25, 26].
The aims of the present study were therefore to i) examine family and infant predictors of the timing of core and non-core food introduction, and ii) test whether different factors were associated with earlier introduction of core and non-core foods.
Conclusion: TEB is a better predictor than corresponding values of core temperature on termination of CPB in predicting the coldest postoperative temperature and time to rewarm to 37°C.
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