Table 1.
Condom rumors scale items: percent agreement, n and item-rest correlations
| “Do you agree or disagree with the following statements:” | Agree | Disagree | Don’t know | Item-rest correlation | Univariate association with willingness to use condoms |
|---|---|---|---|---|---|
|
| |||||
| % (n)a | % (n)a | % (n)a | r | OR (95% CI) | |
| Items included in final scale | |||||
| Condoms cause cancer. | 35 (128) | 45 (165) | 20 (65) | 0.63 | 0.63 (0.35, 1.14) |
| New, unopened condoms have small holes. | 53 (188) | 39 (148) | 8 (25) | 0.76 | 0.45 (0.23, 0.91)* |
| There is HIV in condoms. | 47 (172) | 42 (158) | 10 (31) | 0.73 | 0.70 (0.40, 1.24) |
| New, unopened condoms contain small worms. | 49 (176) | 46 (164) | 5 (21) | 0.73 | 0.39 (0.20, 0.74)** |
| Small worms in new, unopened condoms cause HIV. | 49 (178) | 46 (164) | 5 (19) | 0.71 | 0.32 (0.15, 0.66)** |
| Condoms prevent HIV transmission. | 55 (208) | 38 (130) | 8 (23) | 0.41b | 0.30 (0.15, 0.61)** b |
| Items excluded from final scale | |||||
| Wearing a condom during sex is like eating candy in the wrapper because it makes sex have no pleasure. | 67 (251) | 17 (56) | 15 (53) | 0.06 | 0.72 (0.32, 1.64) |
a
Weighted %, unweighted n
b
Item reverse coded for correlations and final scale calculation
*
p<.05,
**
p<.01