Table 2.
Parents’ PAPM stage for HPV vaccination, HPV and vaccine awareness and vaccine attitudes by sex of index child.
| All N = 1156 N (%) | Sex of index child |
Between group sex difference Adjusted F (df), p | ||
|---|---|---|---|---|
| Boy N = 590 N (%) | Girl N = 566 N (%) | |||
| PAPM stage for HPV vaccination | ||||
| Decided to vaccinate (Stage 5) | 718 (62.1) | 330 (55.9) | 388 (68.6) | 8.59 (2,2092), p < .0001* |
| Undecided (Stage 3) | 323 (27.9) | 194 (32.9) | 129 (22.7) | |
| Decided not to vaccinate (Stage 4) | 115 (10.0) | 66 (11.1) | 49 (8.7) | |
| Heard of HPV before? | ||||
| Yes | 639 (55.3) | 313 (53.0) | 327 (57.8) | 2.25 (1,1048), p = .13 |
| No/Not sure | 516 (44.7) | 227 (47.0) | 239 (42.2) | |
| Heard of HPV vaccine for girls? | ||||
| Yes | 638 (55.2) | 313 (53.1) | 325 (57.5) | 1.84 (1,1048), p = .18 |
| No/Not sure | 517 (44.8) | 276 (46.9) | 240 (42.5) | |
| Heard HPV vaccine will be offered to boys? | ||||
| Yes | 267 (23.1) | 132 (22.4) | 135 (24.0) | 0.33 (1,1048), p = 0.57 |
| No/Not sure | 888 (76.9) | 458 (77.6) | 430 (76.0) | |
| Vaccine attitudes (% agree/strongly agree) | ||||
| Need more information | 621 (53.9) | 352 (60.0) | 269 (47.6) | 14.63 (1,1048), p < .0001* |
| Concern about possible side-effects | 379 (33.0) | 205 (34.9) | 174 (31.0) | 1.64 (1,1048), p = .20 |
| The HPV vaccine is too new | 319 (27.8) | 180 (30.8) | 139 (24.7) | 4.63 (1,1048), p = .03 |
| HPV could have serious health consequences | 442 (38.6) | 216 (37.1) | 225 (40.2) | 0.93 (1,1048), p = .34 |
| I don’t agree with vaccines | 165 (14.3) | 84 (14.3) | 81 (14.4) | 0.001 (1,1048), p = .98 |
| My child may one day be at risk of HPV | 464 (40.7) | 215 (36.8) | 249 (44.8) | 6.14 (1,1048), p = .01 |
| My child’s other parent would want us to vaccinate | 621 (54.2) | 284 (48.7) | 336 (59.9) | 12.03 (1,1048), p = .001* |
| HPV vaccine is effective | 454 (39.7) | 199 (34.2) | 255 (45.4) | 12.31 (1,1048), p < .0001* |
| HPV vaccine might make my child more likely to have sex | 64 (5.8) | 41 (7.4) | 22 (4.2) | 4.49 (1,1048), p = .03 |
Applying a Bonferroni adjustment for multiple testing (13 variables) gave us a critical p-value of 0.004.
*
indicates statistical significance at the Bonferroni adjustment critical p-value 0.004.