Table 4.
Predictors of impact and general health status
Unadjusted predictors | Description | Effect measureb | Global physical health (GPH) | Global mental health (GMH) | Impact score | |||
---|---|---|---|---|---|---|---|---|
Effect estimatea | Effect size (ω2) | Effect estimatea | Effect size(ω2) | Effect estimatea | Effect size(ω2) | |||
Age (categorical) | 29–55,56-63,64-71,72+ | |∆max| | 3.44 | 0.00 | 1.13 | 0.00 | 7.37 | 0.00 |
Age (continuous) | 29–89 | β | − 0.04 | 0.00 | 0.01 | 0.00 | −0.16 | 0.00 |
Race | White vs Others | β | 5.54* | 0.02 | 5.49* | 0.02 | −9.66 | 0.01 |
Rurality | Urban Residence vs Rural | β | 1.01 | 0.00 | 0.86 | 0.00 | 0.74 | 0.00 |
Adjusted Predictorsc | ω2partial | ω2partial | ω2partial | |||||
Education (categorical) | < HS (l), HS-college, Graduate (h) | |∆max,adj| | 10.82** | 0.05 | 7.52* | 0.03 | 5.51 | 0.00 |
Education (ordinal) | 1,2,3 | βadj | 4.12** | 0.04 | 3.49** | 0.03 | −2.35 | 0.01 |
Marital status | Married vs Others | βadj | 3.17 | 0.01 | 4.05* | 0.03 | −7.38 | 0.02 |
Employment (categorical) | Disabled (l), < Full Time, Full Time (h) | |∆max,adj| | 7.63 | 0.01 | 5.30 | 0.02 | 26.20** | 0.05 |
Income (categorical, non-missing) | 0-35 K(l),35-75 K,75 + K (h) | |∆max,adj| | 6.97* | 0.03 | 6.78* | 0.03 | 4.51 | -0.01d |
Income (ordinal, non-missing) | 1,2,3 | βadj | 3.42* | 0.03 | 3.39* | 0.03 | − 2.28 | 0.00 |
Financial security | Comfortable vs Not comfortable | βadj | 6.55*** | 0.06 | 9.71*** | 0.15 | −18.0*** | 0.10 |
Health literacy | No help needed vs Help needed | βadj | 1.81 | 0.00 | 3.36 | 0.01 | −8.61* | 0.02 |
No. of prior comorbidities (ordinal) | 0,1,2,3+ | β adj | −3.59*** | 0.15 | −2.35*** | 0.08 | 4.17** | 0.04 |
Cancer type (categorical) | Other (l), Endometrial, Breast (h) | |∆max| | 4.01 | 0.01 | 2.90 | 0.00 | 2.84 | -0.01d |
Cancer treatment (categorical) | S, RS, CS, RCS, other | |∆max,adj| | 2.45 | −0.018 | 3.76 | 0.00 | 10.48 | 0.01 |
Chemotherapy | Yes vs No | β adj | −1.25 | 0.00 | −2.70 | 0.01 | 4.87 | 0.00 |
Self-management difficulty score (continuous, non-missing) |
1 = Lowest – 5 = Highest | β adj | −0.88 | 0.00 | −1.51 | 0.01 | 11.75*** | 0.13 |
Impact Score (continuous) | 0 = Lowest – 100 = Highest | β adj | −0.25*** | 0.28 | −0.22*** | 0.23 | n/a | n/a |
a * p < .05, ** p < .01, *** p < .001
b|∆max| = maximum mean difference, β, β adj = mean (adjusted) difference using regression weights
cEstimates were adjusted by differing sets of antecedent covariates chosen a priori for each predictor based on salience and non-overlap from the following list: age, race, rurality, education, marital status employment, income financial security, health literacy, number of comorbidities, cancer type, chemotherapy, challenge, and impact (Please see Appendix B for the specific predictor-covariate sets)
d Although the population parameter estimates is always positive, the estimate can be negative in situations where predictive power is weak