Differences in the relationship between @entity2673 and self-reported disability in @entity1 with @entity1643 in XXXX rehabilitation centers in the Netherlands.

@entity1 @entity1643 @entity2673 @entity8462 @entity158 @entity717
STUDY DESIGN: A cross sectional multicenter study in six outpatient @entity8462 ( @entity8462 ) in the Netherlands. OBJECTIVE: This study aims to confirm or refute the finding that a strong relationship exists between @entity2673 and self-reported disability in @entity1 with nonspecific @entity1643 ( @entity1643 ) by analyzing this relationship in @entity1 with @entity1643 admitted for treatment in six @entity8462 . SUMMARY OF BACKGROUND DATA: A strong relationship between @entity2673 and self-reported disability in @entity1 with @entity1643 is suggested. However, in former research weak relationships were found in two of the @entity8462 participating in this study. METHODS: Total study sample consisted of 293 @entity1 (30-66 per RC) with @entity1643 , admitted for outpatient multidisciplinary rehabilitation in one of the six participating @entity8462 . Psychosocial distress was measured with the Symptom Checklist-90-Revised (SCL-90-R), self-reported disability with the @entity717 ( @entity717 ). Pearson correlation coefficients between @entity2673 and self-reported disability were calculated. Multivariate regression analysis was performed to analyze the relationship between SCL-90-R and VAS @entity158 (independent variables) and @entity717 (dependent variable) for the total group and for each RC separately. A multivariate regression analysis was performed to analyze the relationship between all baseline characteristics and @entity717 in the total group. RESULTS: Correlation coefficient between the SCL-90-R and @entity717 was r = 0.38 for the total sample, indicating a significant (P < 0.05), but weak relationship. For the six individual @entity8462 , correlation coefficients ranged between r = 0.22 and 0.67 (three of the six correlation coefficients were significant). The explained variance (r) of the regression models (SCL-90 and @entity158 intensity as predictors of @entity717 ) was 29% for the total sample, and varied between the @entity8462 from 17% to 52%. Results of the multivariate regression analysis of all baseline characteristics of the total group revealed that the model explained 36% of the total variance observed in @entity717 score. Overall, the contributions of @entity2673 to the models were smaller and more variable compared with @entity158 intensity. CONCLUSION: The overall relationship between @entity2673 and self reported disability was weak, and differences between @entity8462 were considerable. This indicates that the relationship between @entity2673 and disability in @entity1 with @entity1643 is not uniform.
