Table 3.
Unadjusted
| |||||
---|---|---|---|---|---|
MCAFS 1 | 95% CI | Difference Between Pre-and Post-Campaign Scores | 95% CI | p 2 | |
Total Cohort (N=1157) | |||||
Pre-Campaign | 3.40 | 3.23, 3.57 | −0.78 | −1.01, −0.54 | *** |
Post-Campaign | 2.62 | 2.46, 2.78 | |||
Men (N=414) | |||||
Pre-Campaign | 3.96 | 3.65, 4.27 | −0.76 | −1.18, −0.34 | ** |
Post-Campaign | 3.20 | 2.91, 3.48 | |||
Women (N=743) | |||||
Pre-Campaign | 3.01 | 2.84, 3.18 | −0.85 | −1.08, −0.61 | *** |
Post-Campaign | 2.16 | 2.00, 2.32 | |||
Model A: Adjusted for demographic and risk characteristics 3 | |||||
MCAFS 1 | 95% CI | Difference Between Pre-and Post-Campaign Scores | 95% CI | p 2 | |
Total Cohort (N=1157) | |||||
Pre-Campaign | 3.37 | 3.21, 3.53 | −0.75 | −0.97, −0.54 | *** |
Post-Campaign | 2.62 | 2.47, 2.76 | |||
Men (N=414) | |||||
Pre-Campaign | 3.85 | 3.55, 4.15 | −0.77 | −1.17, −0.38 | ** |
Post-Campaign | 3.08 | 2.82, 3.34 | |||
Women (N=743) | |||||
Pre-Campaign | 3.04 | 2.87, 3.21 | −0.80 | −1.03, −0.57 | *** |
Post-Campaign | 2.24 | 2.08, 2.40 | |||
Model B: Adjusted for variables in Model A + participant and partner concurrency (previous 6 months) | |||||
MCAFS 1 | 95% CI | Difference Between Pre-and Post-Campaign Scores | 95% CI | p 2 | |
Total Cohort (N=1157) | |||||
Pre-Campaign | 3.37 | 3.21, 3.52 | −0.74 | −0.94, −0.53 | *** |
Post-Campaign | 2.63 | 2.48, 2.77 | |||
Men (N=414) | |||||
Pre-Campaign | 3.85 | 3.56, 4.13 | −0.77 | −1.15, −0.39 | *** |
Post-Campaign | 3.07 | 2.82, 3.33 | |||
Women (N=743) | |||||
Pre-Campaign | 3.05 | 2.89, 3.21 | −0.78 | −0.99, −0.55 | *** |
Post-Campaign | 2.27 | 2.11, 2.44 |
Note.
MCAFS: Mean concurrency attitude factor score was derived from the concurrency attitude scale, which was developed from the vignette-style items (described in methods). Possible scores ranged between 1 and 10. A lower score indicates less acceptance of concurrency; a higher score denotes greater acceptance of concurrency.
P values
<0.05;
<0.01
<0.0001
Age, gender, marital status, education, employment, food insecurity, binge drinking in past month, marijuana use in past year.