Moreover, our use of continuous work-family conflict measures instead of categorized measures and the identified significant regression coefficients indicate a possible dose response relationship between work-family conflicts and work ability.
Multivariate ANOVA examining all treatments, all brain regions, all ages, both sexes, and all three ACh synaptic measures identified a significant main treatment effect (p < 0.02) as well as interactions of treatment × sex (p < 0.03), treatment × region (p < 0.04), treatment × region × measure (p < 0.05), and treatment × sex × age × measure (p < 0.05).
Using objectively measured height and weight, we identified significant differences in the likelihood of students in grades 1 to 4 being overweight across schools; we did not find significant between-school variability in the likelihood of being obese.
The three groups were compared in univariate analyses (χ2 for proportions, one-way analysis of variance for continuous measures) to identify significant correlates of SOPs status.
We identified significant predictors and measured the performance in all models using area under the receiver operating characteristic curve (AUC).
Moreover, we identified significant genetic correlations between all three measures.
Regression analyses identified significant risk factors for the three outcome measures.
We also identified significant correlations between HMSE and HSLC scores and measures of depression, anxiety, general psychopathology, and health-related quality of life corresponding with the original studies [5, 9] even though different measures were employed.
We identified significant predictive effects of the maintenance scale on general psychopathology for all three measuring times.
This study used a repeated-measures design to identify significant changes in well-being after treatment.
