Factors Affecting Gender Differences in the Association between Health-Related Quality of Life and @entity209 Components: Tehran Lipid and XXXX Study.

@entity209 @entity1 @entity413
OBJECTIVE: Using structural equation modeling, this study is one of the first efforts aimed at assessing influential factors causing gender differences in the association between health-related quality of life (HRQoL) and @entity209 . METHODS: A sample of 950 adults, from Tehran Lipid and @entity413 Study were recruited for this cross sectional study in 2005-2007. Health-related quality of life was assessed using the Iranian version of SF-36. @entity209 components (MetSCs) and physical and mental HRQoL were considered as continuous latent constructs explaining the variances of their observed components. Structural equation modeling was performed to examine the association between the constructs of MetSCs and the physical and mental HRQoL within the two gender groups. RESULTS: Based on the primary hypothesis, MetSCs and HRQoL were fitted in a model. The negative effect of MetSCs on HRQoL was found to be significant only in the physical domain and only in @entity1 . The proportion of all the cardio-metabolic risk factors as well as subscales of physical HRQoL that have been explained via the two constructs of MetSCs and HRQoL, respectively, were significantly higher in @entity1 . Physical activity in both @entity1 (b = 3.19, p<0.05) and @entity1 (b = 3.94, p<0.05), age (b = -3.28, p<0.05), education (b = 2.63, p<0.05) only in @entity1 and smoking (b = 2.28, p<0.05) just in @entity1 , directly affected physical HRQoL. Regarding the mental domain, physical activity (b = 3.37, p<0.05) and marital status (b = 3.44, p<0.05) in @entity1 and age (b = 2.01, p<0.05) in @entity1 were direct effective factors. Age and education in @entity1 as well as smoking in @entity1 indirectly affected physical HRQoL via MetSCs. CONCLUSION: Gender differences in the association between MetSCs and physical HRQoL could mostly be attributed to the different structures of both MetSCs and physical HRQoL constructs in @entity1 and @entity1 . Age and smoking are the most important socio-behavioral factors which could affect this gender-specific association in the mental domain.
