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Table 3 Linear regression models of intervention effects on alter 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 = 45)

Intervention

(n = 58)

p*

Control

(n = 41)

Intervention

(n = 57)

p*

Beta (SE); p

CC knowledge

4.76 (2.60)

5.57 (2.83)

0.14

6.13 (2.93)

11.48 (3.60)

< 0.001

4.80 (0.67); <0.001

CC enacted stigma

1.76 (0.57)

1.81 (0.58)

0.63

1.60 (0.36)

1.65 (0.41)

0.55

0.07 (0.08); 0.37

CC risk management self-efficacy

6.96 (1.57)

7.40 (1.46)

0.14

6.59 (2.11)

9.47 (4.20)

< 0.001

2.75 (0.73); <0.001

CC screening self-efficacy

1.92 (0.12)

1.91 (0.14)

0.36

1.98 (0.06)

2.00 (0)

0.03

0.05 (0.03); 0.10

CC prevention advocacy

1.76 (0.48)

1.83 (0.68)

0.55

1.69 (0.69)

3.41 (1.36)

< 0.001

1.75 (0.23); <0.001

  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 alter 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