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Table 4 Linear regression models of intervention effects on index cervical cancer (CC)-related processes (mediators) at month 6, controlling for baseline measure of the mediator

From: Mediators and moderators of the effect of the game changers for cervical cancer prevention intervention on cervical cancer screening among previously unscreened social network members in Uganda

Outcome

Baseline

Month 6

Control

(n = 20)

Intervention

(n = 20)

p*

Control

(n = 19)

Intervention

(n = 20)

p*

Beta (SE); p

Sharing of CC screening result with others

1.47 (0.62)

1.62 (0.39)

0.37

1.58 (0.48)

1.93 (0.21)

0.006

0.31 (0.11); 0.008

CC knowledge

8.55 (2.80)

10.05 (3.36)

0.13

8.50 (2.37)

15.70 (0.66)

< 0.001

6.90 (0.54); <0.001

CC internalized stigma

1.21 (0.35)

1.07 (0.16)

0.12

1.08 (0.29)

1.00 (0.00)

0.13

-0.04 (0.05); 0.42

CC risk manangement self-efficacy

8.70 (1.40)

8.85 (1.28)

0.73

7.40 (2.16)

10.00 (0.00)

< 0.001

2.56 (0.47); <0.001

CC prevention advocacy self-efficacy

9.75 (0.46)

9.72 (0.49)

0.83

8.15 (1.98)

10.00 (0.00)

< 0.001

1.85 (0.45); <0.001

CC prevention advocacy

3.23 (1.13)

3.57 (1.16)

0.35

2.90 (1.10)

4.98 (0.11)

< 0.001

1.94 (0.20); <0.001

Mean CC screening advocacy across alters

1.96 (0.19)

1.85 (0.51)

0.39

2.03 (0.06)

2.19 (0.21)

0.004

0.16 (0.05); 0.003

  1. * p values from bivariate comparisons using independent 2-tailed t-tests
  2. Beta coefficients and standard errors (SE) are from multiple linear regression models of index CC-related at month 6 as the dependent variable, and independent variables consisting of intervention condition and the baseline measure of the CC-related process