Exact(8)
Dependent variables: Life lost due to premature mortality (YLL), years lost due to disability (YLD) and disability-adjusted life years (DALY).
Referring to the type of treatment, both variables (life quality now and its alteration by cancer) are significantly different (p < 0.011 resp. p < 0.002).
The results of multiple regression analysis including two variables (life satisfaction and HD score) as the dependent variables and seven variables as the independent variables showed that the strongest explanatory variable for life satisfaction was social support network, followed by handicaps caused by hearing disabilities, self-rated health and personal health practice.
Three additional regression models have been tested, adjusting for different sets of covariates: socio-demographic variables, life style variables and health status variables.
These include overall QoL and effect of different demographic and medical variables (life stage, old age, ethnicity, breast cancer treatment, and non-pharmacological intervention) on QoL.
The Rasch-scaled Motor and Cognitive FIM scores were significantly associated with the participation and two outcome variables (life satisfaction and perceived health) in expected directions.
Associations between adversities and suicide outcomes were adjusted for sex, age, educational level, marital status, interactions between demographic variables, life course, lifetime mental disorders and parental psychopathology.
The MAAS stress interaction on health accounted for an additional 4% of the variance in mental health, after controlling for demographic variables, life stress, and trait mindfulness.
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