Does the relationship between physical activity and quality of life differ based on generic versus disease-targeted instruments?
BACKGROUND: There has been an increased interest in the study of physical activity and its relationship with quality of life (QOL) and health-related quality of life (HRQL) in chronic disease conditions. The investigations have used either generic or disease-targeted instruments for measuring QOL and HRQL, but have not examined differences in the associations as a function of the types of instruments. PURPOSE: The present study examined the associations among physical activity, QOL, and HRQL using generic and disease-targeted instruments in persons with multiple sclerosis (MS). METHODS: Participants were 292 individuals with MS who wore an accelerometer for 7 days and then completed the Godin Leisure-Time Exercise Questionnaire (GLTEQ), Multiple Sclerosis Impact Scale-29 (MSIS-29), Leeds Multiple Sclerosis Quality of Life Scale (LMSQOL), Short Form-12 Health Survey (SF-12), and Satisfaction With Life Scale (SWLS). RESULTS: Accelerometer counts and GLTEQ scores had similarly sized correlations with scores from generic (SF-12) and the disease-specific (MSIS-29) measures of HRQL and generic (SWLS) and the disease-specific (LMSQOL) measures of QOL. Path analysis indicated a similar pattern of directional relationships between accelerometer counts and GLTEQ scores with physical and mental HRQL and, in turn, physical and mental HRQL with QOL using generic and disease-targeted instruments. CONCLUSIONS: Our results suggest that in cross-sectional analysis, physical activity is similarly related with QOL and HRQL using generic and disease-targeted instruments in persons with MS.[1]References
- Does the relationship between physical activity and quality of life differ based on generic versus disease-targeted instruments? Motl, R.W., McAuley, E., Snook, E.M., Gliottoni, R.C. Ann. Behav. Med (2008) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
