Multivariate analysis of variance (MANOVA) with follow-up canonical discriminant analysis may be used to interpret differences in health-related quality of life measured by the Medical Outcome Study Short Form 36 (MOS SF-36). Due to the modera te correlations between the 8 health dimensions of the SF-36, MANOVA is theoretically a more appropriate method th an traditional univariate approaches for detecting group differences on the SF-36. Additionally, canonical discriminant analysis presents a novel approach to understanding the relationship between health dimensions of the SF-36 and model-independent variables.
Results from the MANOVA and canonical discriminant analysis provide evidence of the sensitivity of the SF-36 in cross-sectional, self-reported data, Significant differences in health status (α ≤ 0.05 ) were found for the variables of age, and primary physician visits, and between le vels of disease severity, type of breathing problem, whether patients had seen a specialist or not, use of emergency room, the comorbid states of depression and anhritis, and income. No significant differences in health status were reported between males and females or racial groups.
Health Dimension Canonical Discriminant Analysis Canonical Structure Breathing Problem Health Status Score
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