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Table 4 Predictors of impact and general health status

From: Impact of comorbidities and treatment burden on general well-being among women’s cancer survivors

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

  1. a * p < .05, ** p < .01, *** p < .001
  2. b|∆max| = maximum mean difference, β, β adj = mean (adjusted) difference using regression weights
  3. 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)
  4. d Although the population parameter \( \hat{\omega^2} \)estimates is always positive, the estimate can be negative in situations where predictive power is weak