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. 2018 Mar 15;13(3):e0194159. doi: 10.1371/journal.pone.0194159

Table 4. Comparison between parents who allowed their children to join and not join the HPV vaccination program (univariate regressions).

Joined the program OR 95% CI p
No n (%) Yes n (%)
HPV vaccine information source (n = 1,118)
Doctor 19 (15.8%) 199 (19.9%) 1.32 .79–2.21 .29
School 45 (37.5%) 360 (36.1%) 0.94 .64–1.39 .94
Poster 70 (58.3%) 571 (57.1%) 0.96 .65–1.40 .41
Media 93 (77.5%) 805 (80.7%) 1.21 .77–1.91 .41
Friends / relatives 20 (16.7%) 185 (18.5%) 1.14 .69–1.89 .62
Never heard of HPV 5 (4.2%) 12 (1.2%) 0.28 .10 –.81 0.02*
Correct cervical cancer knowledge 1.09 .99–1.21 .08
Cervical cancer is common (n = 1,060) 84 (80.8%) 854 (89.3%) 1.99 1.17–3.38 .01*
Early stage cervical cancer is treatable (n = 1,060) 83 (79.0%) 830 (86.9%) 1.76 1.06–2.92 .03*
Cervical cancer may affect fertility (n = 1,057) 81 (77.1%) 786 (82.6%) 1.40 .86–2.28 .17
Increase risk with multiple sex partners (n = 1,055) 76 (72.4%) 701 (73.8%) 1.07 .68–1.69 .76
Women have a fair chance of contracting HPV (n = 1,055) 53 (50.5%) 502 (52.8%) 1.10 .74–1.65 .65
Pap smears can prevent cervical cancer (n = 1,056) 61 (58.7%) 616 (64.8%) 1.30 .86–1.96 .21
Cervical cancer is caused by viral infection (n = 1,055) 76 (73.1%) 625 (65.7%) .71 .45–1.11 .13
A woman dies of cervical cancer every 3 days (n = 1,056) 33 (32.0%) 448 (47.0%) 1.88 1.22–2.90 .004**
Correct symptoms knowledge (n = 1,026) .91 .73–1.14 .41
Waist pain 88 (88.9%) 748 (80.7%) .52 .27–1.00 0.05
Fear of cold 96 (97.0%) 874 (94.3%) .52 .16–1.68 .52
Abnormal bleeding between menses 79 (79.8%) 726 (78.3%) .91 .55–1.53 .73
Breast pain 89 (89.9%) 810 (87.4%) .78 .39–1.54 .47
Bleeding after sexual intercourse 64 (64.6%) 658 (71.0%) 1.34 .87–2.07 .19
Correct HPV vaccine knowledge (n = 1,042) 1.45 .92–2.27 .11
Should not receive before their first menstruation 92 (90.2%) 867 (92.2%) 1.29 .64–2.59 .47
Ideal vaccination time is before the first time having sex 70 (68.6%) 615 (65.4%) .87 .56–1.34 .52
HPV vaccination can prevent all STIs 96 (94.1%) 842 (89.6%) .54 .23–1.26 .15
HPV vaccination would not affect growth 64 (62.7%) 742 (78.9%) 2.23 1.45–3.42 < .001***
Females who are sexually active can still receive HPV vaccine to prevent future infection 61 (59.8%) 645 (68.6%) 1.17 .98–1.40 .09
Likelihood
My daughter will be infected by HPV (n = 1,013) 49 (52.1%) 435 (47.3%) .83 .54–1.26 .38
My daughter will get cervical cancer (n = 1,011) 44 (47.8%) 448 (48.7%) 1.04 .68–1.60 .87
Getting cervical cancer will affect my daughter tremendously (n = 1,027) 87 (89.7%) 886 (95.3%) 2.32 1.13–4.76 .02
HPV vaccine protects my daughter from HPV infection (n = 1,039) 78 (81.3%) 889 (94.3%) 3.80 2.12–6.80 < .001***
Perceived sufficient understanding of HPV vaccine (n = 1,055) 27 (26.2%) 213 (22.4%) 1.23 .77–1.96 .38
Doctor recommended before (n = 1,056) 4 (3.8%) 106 (11.1%) 3.17 1.43–8.78 .03*
Has regular family doctor (n = 1,077) 51 (47.7%) 352 (36.3%) .63 .42 –.93 .02*
Received all vaccines at Department of Health (n = 1,061) 74 (74.0%) 728 (75.8%) 1.10 .69–1.76 .70
Mother had a pap smear in the past 3 years (n = 1,062) 65 (61.3%) 537 (56.2%) 0.81 .54–1.22 .31
Mother received HPV vaccination (n = 1,061) 10 (9.7%) 94 (9.8%) 1.01 .51–2.01 .97
Government should provide HPV vaccine to boys & girls (n = 1,052) 38 (37.6%) 312 (32.8%) .81 .53–1.24 .33
Willing to pay more than HK$2,000 for HPV vaccine (n = 1,046) 18 (18.8%) 76 (8.0%) .38 .21 –.66 .001**
Preferred location—maternal and child health centers (n = 1,057) 64 (62.1%) 580 (60.8%) .95 .62–1.44 .79
Preferred location—private clinics (n = 1,057) 48 (46.6%) 295 (30.9) .51 .34 –.77 .001**
Preferred location–schools (n = 1,057) 48 (46.6%) 561 (58.8%) 1.64 1.09–2.46 .02*
Watched educational video (n = 1,056) 20 (19.4%) 232 (24.3%) 1.34 .80–2.22 .27
Gender (n = 1,076)–female 99 (93.4%) 858 (88.5%) .54 .25–1.20 .13
Age (n = 1,070)–above 40 61 (58.7%) 495 (51.2%) .74 .49–1.12 .15
Education level (n = 1,065)–secondary or above 96 (92.3%) 861 (89.6%) .72 .34–1.52 .39
Monthly household income (n = 1,053)—above HK$30,000 33 (32.7%) 216 (22.7%) .61 .39 –.94 .03

* = significant at p

** = significant at p< .01.

*** = significant at p