Mediation of the intervention effect on alter CC screening by index participant measures
SE
REGRESSION, CERVICAL CANCER, SECONDARY
Table 
Bivariate and multivariate correlates of cervical cancer (CC) screening among alters* Bivariate analysis was conducted using 2-tailed independent t-tests. Multiple logistic regression models of alter uptake of CC screening included the month 6 measure of alter CC screening as the dependent variable, and the month 6 and baseline measures of the predictor as independent variablesOR = odds ration; CI = confidence intervalTable 
Logistic regression models examining index measures at month-6 as mediators of intervention effect on alter cervical cancer (CC) screening



3.72(0.13, 109.20)

7.78(0.71, 85.32)















0.98(0.92, 1.04)1.02(0.47, 2.18)

1.53(0.80, 2.92)A two-step approach was used to test each potential mediator separately. In step one (“without mediator column”), the dependent variable was alter uptake of CC screening by month 6, while independent variables consisted of an indicator of study arm and the baseline measure of the mediator. In step two (“with mediator column”), the month 6 measure of the mediator was added to the model. Covariates included in each model consisted of age < 35 years, any secondary education, and presence of a main sex partnerOR = odds ratio; CI = confidence interval; bsln = baseline; M6 = month-6 follow-up visitWith index participant measures of CC knowledge, sharing of CC screening experience, engagement in CC prevention advocacy, and CC screening advocacy across all named alters each being associated with both the intervention and alter CC screening, we then conducted mediation analysis to assess whether each mediated the intervention effect on alter CC screening, in separate logistic regression models. None of the variables were found to mediate the intervention effect (see Table 
Linear regression models of intervention effects on alter cervical cancer (CC)-related processes (mediators) at month 6, controlling for baseline measure of the mediator* p values from bivariate comparisons using independent 2-tailed t-testsBeta 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