Sonja Mensch

119 The relationship between motor abilities and quality of life were relatively high. The mean total score was 65.3% (SD 14.7). After controlling for gender, age and GMFCS-levels in multiple linear regression models, all significant bivariate relationships between Movakic total scores and QoL-PMD dimensions and the QoL-PMD total score remained statistically significant. The relationship between the dimension Activities and the body position standing and between total QoL-PMD and the body positions sitting and standing lost their significant correlation in this analysis. The addition of the Movakic variables on body positions into the regression models resulted in significant additions to the proportion of explained variance. Most models explained fair amounts of variance. The relationships between gender, age, GMFCS- levels and QoL-PMD variables were not statistically significant in any of the regression models, except for GMFCS in the regressionmodel with the body position lying and QoL dimension physical well-being ( β =.66; R 2 =.23; p =<.05). Table 4 shows the results of the last step of the multiple regression analysis, that show independent relationships between total Movakic and the different domains of Quality of Life scores (total, physical well-being, development and activities). After controlling for the covariates, the MOVAKIC total score explained a significant 17%more of the variance in the total QoL score (ß = 0.48; p = 0.05) than the model using only the covariates. In addition, the model accounted for 30% more of the variance in the QoL domain ‘physical well-being’ (ß = 0.64; p = 0.01), 20% in the QoL domain ‘development’ (ß = 0.52; p = 0.03) and 19% in the QoL domain ‘activity’ (ß = 0.51; p = 0.03). The total model accounted for 25% of the variance.