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. Author manuscript; available in PMC: 2022 Jun 20.
Published in final edited form as: Support Care Cancer. 2020 May 3;29(1):349–358. doi: 10.1007/s00520-020-05468-z

Table 4.

Multiple Regression Analyses from Five Separate Models Using COST Score to Predict Health-Related Quality of Life (HRQOL) (N=103)

HRQOL Outcomes B SE B β ΔR2 p-value
Anxiety −.09 .04 −.28 .06 p = .012*
Fatigue −.16 .05 −.36 .10 p = .001*
Pain Interference −.07 .06 −.15 .02 p = .206
Physical Functioning .11 .05 .27 .05 p = .020*
Social Functioning −.17 .05 −.28 .06 p = .013*

Note: All analyses included covariates entered in the following order: Block 1= gender, age; Block 2= partner status, retirement status, educational attainment; Block 3= COST score. F-test of change in R2 (ΔR2) indicates that the average additional variance explained by using the additional predictor (COST) explained a statistically significant additional amount of variance in the dependent variable above and beyond that contributed by the other predictors of gender, age, partner status, retirement status, and educational attainment. H-B correction was not utilized within multivariate analyses.