Longitudinal Predictors of Survivor-reported Quality of Life
A second hierarchical regression model examined predictors of
survivor-reported QOL using the same variables in the first model. In
the first step, we examined mother’s age and the sociodemographic score.
This model was not significant, F (2,47) = 0.70, p = .504,
as it only explained 3% of the variance in QOL. In the second step,
mother-report of survivor’s cancer-specific stress and mother’s general
stress were added. This model was significant, ΔF (2,45) = 3.50,p = .039, and added 13% of explained variance. Only
mother-report of survivor’s cancer-specific stress (β = -0.56,p = .022) was a significant predictor. In the third and final
step, mother–adolescent communication was added and contributed 8% of
explained variance to the model, ΔF (1,44) = 4.37, p = .042.With
the addition of mother–adolescent communication, survivor’s
cancer-related stress (β = -0.37, p = .011) and communication
(β = -0.31, p = .042) were significant predictors of
survivor-reported quality of life. This final model was significant as
well, F (5,44) = 2.71, p = .032 and explained 24% of the
variance in the long-term QOL of survivors (Table 4).