RESULTS: After controlling for demographic factors, the HT definitions predicted four outcomes, while the SFT definitions predicted three, and the EHT classifications contributed to the prediction of five child outcomes.
Despite the clear importance of the severity of the main health problems in predicting HRQOL, mental and physical health problems also contributed to the prediction of some HRQOL scores.
At T2, after controlling for pain severity, other measures of anxiety and each respective measure of functioning at T1, health anxiety uniquely predicted disability and negative affect, although anxiety sensitivity also uniquely contributed to the prediction of negative affect.
Results further indicated that several variables uniquely contributed to the prediction of rainwater tank adoption (listed in order of relative contribution: response efficacy, threat appraisal, response costs, subjective knowledge and subjective norms).
For CTCF and MyoD, ChIL-seq reads in TFBSs ± 2 kb evidently contributed to the prediction of the presence of ChIP-seq peaks.
Regression analysis indicated that early biological maturity was more strongly related to the child's developmental status than later home environment, although both contributed to the prediction.
Although all ASD symptom clusters contributed to the prediction of subsequent PTSD severity, logistic regression indicated that only re-experiencing and arousal predicted a categorical PTSD diagnosis.
Both forgiveness and consideration of future consequences contributed to the prediction of aggressive driving and driving anger expression, independent of driving anger.
Age, eccentric quadriceps force production, calf girth, and standing balance also contributed to the prediction of vertical jump in this population.
Few of these studies, however, have contributed to the prediction of ecologically significant effects (i.e., at the population or community levels).
Finally, regression analyses demonstrated that participants' BAL, frequency of prepartying, and the interaction between BAL and frequency of prepartying all uniquely contributed to the prediction of event-specific alcohol-related negative consequences.
