Abstract
Background
Human Papillomavirus (HPV) vaccination coverage is below national goals in the United States. Research is needed to inform strategically designed interventions that target sociodemographic groups with underutilization of HPV vaccination.
Methods
Secondary data analysis of the National Immunization Survey-Teen 2013 measured association of sociodemographic factors (e.g., ethnicity/race, insurance) with HPV vaccination among females and males ages 13–17 (N = 18,959). Chi-square and multivariable Poisson regressions were conducted using survey-weighted statistics.
Results
Having a mother ≥35 years, a mother with some college, being of “Other” ethnicity/race, and having no providers who order vaccines from health departments was negatively associated with females initiating HPV vaccination. Having a mother with some college, being of Non-Hispanic White or “Other” ethnicity/race, and having some or no providers who order vaccines from health departments was negatively associated with males initiating HPV vaccination. These same factors were negatively associated with males completing HPV vaccination with the exception of “Other” ethnicity/race. In contrast, having an unmarried mother, being ages 15–17, having a hospital based provider, and receiving other adolescent vaccinations were positively associated with females initiating and completing HPV vaccination. Having an unmarried mother, health insurance that is not employer or union sponsored, and influenza and meningitis vaccinations was positively associated with male’s initiating HPV vaccination. For males, being 15 or 17 years old and having other adolescent vaccinations was positively associated with vaccine completion. All findings p ≤ 0.05.
Conclusions
Future HPV vaccination interventions may benefit from targeting certain sociodemographic groups that were negatively associated with HPV vaccination in this study.
Keywords: Adolescent, Ethnicity, Gender, HPV, Males
Background
Vaccination for Human Papillomavirus (HPV) is below Healthy People 2020 goals of 80% completion (three doses) among adolescents in the United States (U.S.) [1]. While missed opportunities for HPV vaccination and provider recommendation of the HPV vaccine influence parents’ and adolescents’ decisions to vaccinate [2, 3], other sociodemographic factors (e.g., age, ethnicity, insurance status etc.) play a key role in identifying groups of individuals who are least likely to receive the HPV vaccine.
Multiple systematic reviews have been completed on HPV vaccination and sociodemographic factors that are associated with HPV vaccination. A review of HPV beliefs and acceptability of the HPV vaccine summarized that parents with lower education are more accepting of the HPV vaccine, but presented mixed findings on the influence of insurance status, educational level, ethnicity/race, and household income on HPV vaccination [4]. Another review of the literature identified barriers to HPV vaccination among healthcare providers (e.g., providing only risk-based recommendations, financial challenges including cost to parents and lack of insurance reimbursement), parents and caregivers (e.g., lack of information or provider recommendation, concerns about cost and side effects), and underserved populations (e.g., limited information, being uninsured, low completion of series) [5]. These summaries of the literature provide context for studying and interpreting associations of sociodemographic factors with HPV vaccination using a national dataset of adolescent immunizations, the National Immunization Survey-Teen (NIS-Teen).
In the U.S., the NIS-Teen has been previously used to study relationships between sociodemographic factors and HPV vaccination patterns [6–10]. One study analyzing NIS-Teen data spanning 2008–2011 found that HPV vaccination patterns differ from other adolescent vaccinations in that below-poverty adolescents and minority race/ethnicity adolescents had higher series initiation compared to above-poverty and white adolescents [6]. In addition to poverty status and race/ethnicity, there are other social factors that have been associated with HPV vaccination including older adolescent age, being seen in public or hospital facilities, and having received other adolescent vaccinations [4, 10, 11].
Furthermore, gender differences exist in the HPV vaccination literature, with males being less likely to know about HPV and the HPV vaccine [12–14], and less likely to receive the HPV vaccine compared to females. In 2013, only 6.8% of boys completed three doses of the HPV vaccine, compared to 33.4% girls [15]. It is possible that differential initiation and completion of the HPV vaccine by gender may be due to the HPV vaccine being recommended for the first time in 2006 for girls and later for boys in 2011 [16, 17]. However, existing literature suggests that HPV vaccination is lower for boys because parents are unaware that boys can receive and benefit from HPV vaccines, both parents and providers prefer to vaccinate females over males, and concerns about costs [5, 14].
The primary objective of this study was to identify sociodemographic factors of individuals who are least likely to initiate and complete HPV vaccination. We hypothesized that younger adolescents would be less likely to be vaccinated than older adolescents, and that adolescents who had received other vaccinations would be more likely to be vaccinated compared to adolescents who had not received other vaccinations. We perform separate analyses to evaluate associations of sociodemographic factors with HPV vaccination for girls and boys based on the previously mentioned literature of differential HPV vaccination by gender. This study expands prior research by using the NIS-Teen to determine whether patterns of sociodemographic factors that have previously been associated with HPV vaccination persist in a more recent national NIS-Teen survey. To our knowledge, this study is the first to determine associations between sociodemographic factors with HPV vaccination using NIS-Teen data collected in 2013.
Methods
Study design and setting
A secondary cross-sectional data analysis of NIS-Teen 2013 data was performed to measure the association of sociodemographic factors with HPV vaccination among adolescents ages 13–17. The NIS-Teen is a publicly available, nationally representative survey with a complex sampling design [18]. Annually, the NIS-Teen surveys parents (telephone) and adolescent healthcare providers (mailed). In 2013, NIS-Teen household response rates were: cellular (23.3%) and landline (51.1%) [19]. The 2013 NIS-Teen sample is documented elsewhere, including the number of participants screened at each stage of the study and reasons for exclusion and nonresponse [19]. Analysis of publicly available data is considered exempt by the University of Utah Institutional Review Board.
Consent for publication
Not applicable.
Participants and sample size
Parents consented to have their adolescent’s provider contacted to verify vaccine receipt [19, 20]. While 68.3% of landline and 65.0% of cellular respondents agreed to have their adolescent’s provider contacted, only a total of 55.8% of all respodnents had sufficient provider-verified vaccination records to be included in the study [19]. Reasons for inadequate provider data included lack of parent/guardian consent to contact their adolescent’s provider, provider non-response, or inadequate information to contact providers [19]. Records with provider-verified immunization records from NIS-Teen 2013 were included (N = 18,959).
Outcome variables
Outcomes included provider verified initiation (≥1 dose of the HPV vaccine) and completion (3 doses of the HPV vaccine) of the HPV vaccine. Variable weights adjust for respondents with missing provider data.
Sociodemographic variables
The Social Ecological Framework (SEF) is a five-level framework of influence comprising: individual, interpersonal, organizational, community, and public policy factors [21]. Individual (e.g., teen’s age, poverty, ethnicity, and vaccination status), interpersonal (e.g., mother’s age, education, and marital status), and organizational (e.g., facility type for teen’s providers and provider’s vaccination ordering history) levels of influence were assessed herein. Marital status “other” category includes: never married, widowed, divorced, separated, and deceased. Ethnicity/race of teens “other” category includes: Non-Hispanic Black, Non-Hispanic Other, and Multiple Race. Groupings of sociodemographic variables were selected were selected a priori based on clinical relevance, existing literature, and prior research using NIS-Teen data [7, 8, 10].
Statistical analysis
Provider-phase sampling weights were used to produce dual-frame point estimates and corresponding 95% confidence intervals (CI). Listwise deletion was used to handle records with missing values. Frequency counts and survey-weighted percentages were reported for gender subgroups separately to minimize bias. For both unordered and ordered categorical variables, so that even a nonlinear association could be detected, a survey weighted Pearson chi-square test was used to compare distributions of sociodemographic variables between those who initiated and completed HPV vaccination to those who did not. Survey weighted multivariable Poisson regressions were fitted to assess the association of selected sociodemographic variables, reported as adjusted prevalence ratios (PR) with 95% CI. Sociodemographic variables were assessed for multicollinearity and all variables were maintained in the final models. All tests were two-sided comparisons in STATA version 14.0; p < 0.05 were considered significant.
Results
Participants, sociodemographics, and HPV vaccination
Most mothers had at least high school education and were married. Adolescents were primarily living above poverty level, Non-Hispanic White, and on private health insurance. Univariate analyses indicated sociodemographic associations between HPV vaccine initiation and completion for females (Table 1): mother’s education, marital status (initiation only), poverty status, and teen’s ethnicity/race, age, providers’ facility type, providers ordering vaccines from state/local health departments (initiation only), and other recommended adolescent vaccinations (i.e., influenza, TDAP, Meningitis), all p < 0.05. For males: mother’s education, poverty status (initiation only), marital status (initiation only), and teen’s ethnicity/race, source of health insurance, providers ordering vaccines from state/local health departments (initiation only), and other recommended adolescent vaccinations (i.e., influenza, TDAP, Meningitis), all p < 0.05.
Table 1.
Adolescent and parental sociodemographic characteristics, a NIS-Teen 2013
| FEMALES | ||||
|---|---|---|---|---|
| Characteristic | ≥1 dose of HPV vaccine | HPV vaccine completionc | ||
| No (N = 3776) | Yes (N = 5098) | No (N = 5484) | Yes (N = 3390) | |
| N (%)b | N (%)b | N (%)b | N (%)b | |
| Age (Mother/Parent) | ||||
| ≤34 years old | 291 (37.1) | 497 (62.9) | 512 (64.4) | 276 (35.6) |
| 35–44 years old | 1643 (44.2) | 2048 (55.8) | 2373 (64.3) | 1318 (35.7) |
| ≥ 45 years old | 1842 (42.5) | 2553 (57.5) | 2599 (60.1) | 1796 (39.9) |
| Education (Mother) | ||||
| < High school | 329 (28.9) | 629 (71.1) | 567 (55.1) | 391 (45.0) |
| High school | 637 (40.8) | 925 (59.2) | 959 (60.1) | 603 (40.0) |
| Some college | 1123 (48.1) | 1328 (51.9) | 1585 (67.1) | 866 (32.9) |
| College graduate | 1687 (45.2) | 2216 (54.8) | 2373 (63.3) | 1530 (36.7) |
| Poverty status | ||||
| Above poverty (>$75 k) | 1716 (44.7) | 2203 (55.4) | 2376 (61.5) | 1543 (38.5) |
| Above poverty (<=$75 k) | 1469 (46.2) | 1765 (53.8) | 2118 (65.7) | 1116 (34.4) |
| Below poverty | 505 (33.2) | 1009 (66.8) | 863 (58.5) | 651 (41.5) |
| Missing, n (%) | 207 (2.33) | 207 (2.33) | ||
| Marital status of mother | ||||
| Married | 2838 (45.5) | 3483 (54.5) | 3957 (63.0) | 2364 (37.0) |
| Otherd | 938 (37.4) | 1615 (62.6) | 1527 (61.3) | 1026 (38.7) |
| Ethnicity/Race of teens | ||||
| Hispanic | 427 (32.5) | 862 (67.5) | 732 (55.2) | 557 (44.8) |
| Non-Hispanic White | 2642 (46.9) | 3135 (53.1) | 3645 (65.1) | 2132 (34.9) |
| Otherd | 707 (41.9) | 1101 (58.1) | 1107 (62.3) | 701 (37.7) |
| Age in years of selected teen | ||||
| 13 years old | 941 (49.4) | 901 (50.6) | 1381 (74.2) | 452 (25.8) |
| 14 years old | 847 (44.9) | 1020 (55.1) | 1255 (67.9) | 608 (32.1) |
| 15 years old | 738 (41.2) | 1082 (58.8) | 1079 (60.6) | 729 (39.5) |
| 16 years old | 701 (40.0) | 1147 (60.0) | 1004 (56.9) | 828 (43.1) |
| 17 years old | 549 (37.7) | 1001 (62.3) | 765 (51.8) | 773 (48.2) |
| Source of health insurance for teens | ||||
| Provided through employment or union | 2540 (44.3) | 3198 (55.7) | 3553 (62.1) | 2185 (38.0) |
| Not Provided through employment or union | 1187 (40.6) | 1834 (59.4) | 1858 (63.0) | 1163 (37.0) |
| Missing, n (%) | 115 (1.30) | 115 (1.30) | ||
| Facility type for teen’s providers | ||||
| All public facilities | 592 (43.4) | 710 (56.6) | 897 (67.5) | 405 (32.5) |
| All hospital facilities | 317 (32.8) | 530 (67.2) | 459 (56.1) | 388 (44.0) |
| All private facilities | 1707 (42.6) | 2296 (57.4) | 2416 (60.2) | 1587 (39.8) |
| Mixed/Other | 1055 (45.1) | 1486 (54.9) | 1573 (64.7) | 968 (35.3) |
| Missing, n (%) | 181 (2.04) | 181 (2.04) | ||
| Do teen’s providers order vaccination from states/ local health department | ||||
| All providers | 2487 (41.1) | 3569 (58.9) | 3683 (61.7) | 2373 (38.2) |
| Some but possibly not all | 511 (41.0) | 735 (59.0) | 768 (63.1) | 478 (36.9) |
| No providers | 453 (51.2) | 444 (48.8) | 590 (64.1) | 307 (36.0) |
| Don’t know | 278 (43.6) | 350 (56.4) | 396 (62.5) | 232 (37.5) |
| Missing, n (%) | 47 (0.53) | 47 (0.53) | ||
| Influenza vaccinatione | ||||
| No | 2697 (55.7) | 2218 (44.3) | 3594 (74.1) | 1321 (25.9) |
| Yes | 1079 (25.2) | 2880 (74.8) | 1890 (46.6) | 2069 (53.4) |
| TDAP vaccinationf | ||||
| No | 1359 (54.0) | 1067 (46.0) | 1838 (75.8) | 588 (24.2) |
| Yes | 2417 (38.0) | 4031 (62.0) | 3646 (56.8) | 2802 (43.2) |
| Meningitis vaccinationg | ||||
| No | 1558 (77.7) | 558 (22.3) | 1833 (90.4) | 283 (9.6) |
| Yes | 2218 (32.8) | 4540 (67.2) | 3651 (54.4) | 3107 (45.6) |
| MALES | ||||
| Characteristic | ≥1 dose of HPV vaccine | HPV vaccine completionc | ||
| No (N = 6522) | Yes (N = 3231) | No (N = 8375) | Yes (N = 1378) | |
| N (%)b | N (%)b | N (%)b | N (%)b | |
| Age(Mother/Parent) | ||||
| ≤ 34 years old | 528 (59.6) | 334 (40.4) | 743 (85.8) | 119 (14.2) |
| 35–44 years old | 2840 (64.7) | 1301 (35.3) | 3606 (87.4) | 535 (12.6) |
| ≥ 45 years old | 3154 (67.3) | 1596 (32.7) | 4026 (84.9) | 724 (15.1) |
| Education (Mother) | ||||
| < High school | 622 (53.0) | 464 (47.0) | 898 (79.2) | 188 (20.9) |
| High school | 1182 (63.3) | 574 (36.8) | 1525 (86.2) | 231 (13.8) |
| Some college | 1912 (72.1) | 770 (27.9) | 2365 (88.9) | 317 (11.1) |
| College graduate | 2806 (66.9) | 1423 (33.1) | 3587 (86.8) | 642 (13.2) |
| Poverty status | ||||
| Above poverty (>$75 k) | 2919 (70.7) | 1352 (29.3) | 3649 (87.2) | 622 (12.8) |
| Above poverty (<=$75 k) | 2510 (67.8) | 1064 (32.2) | 3132 (86.9) | 442 (13.1) |
| Below poverty | 936 (53.3) | 739 (46.7) | 1384 (83.3) | 291 (16.7) |
| Missing, n (%) | 233 (2.39) | 233 (2.39) | ||
| Marital status of mother | ||||
| Married | 4881 (68.6) | 2184 (31.4) | 6109 (86.7) | 956 (13.3) |
| Otherd | 1641 (59.3) | 1047 (40.7) | 2266 (85.1) | 422 (14.9) |
| Ethnicity/Race of teens | ||||
| Hispanic | 814 (50.4) | 657 (49.6) | 1191 (79.7) | 280 (20.3) |
| Non-Hispanic White only | 4471 (73.3) | 1835 (26.7) | 5480 (88.9) | 826 (11.1) |
| Otherd | 1237 (61.7) | 739 (38.3) | 1704 (86.1) | 272 (13.9) |
| Age in years of selected teen | ||||
| 13 years old | 1361 (66.5) | 614 (33.5) | 1736 (88.3) | 239 (11.7) |
| 14 years old | 1381 (64.9) | 672 (35.1) | 1777 (86.4) | 276 (13.6) |
| 15 years old | 1262 (63.8) | 652 (36.2) | 1632 (84.7) | 282 (15.4) |
| 16 years old | 1305 (64.1) | 714 (35.9) | 1702 (86.3) | 317 (13.7) |
| 17 years old | 1213 (67.9) | 579 (32.1) | 1528 (84.9) | 264 (15.1) |
| Source of health insurance for teens | ||||
| Provided through employment or union | 4359 (70.6) | 1885 (29.4) | 5395 (87.5) | 849 (12.5) |
| Not Provided through employment or union | 2061 (58.6) | 1297 (41.4) | 2845 (84.4) | 513 (15.6) |
| Missing, n (%) | 151 (1.55) | |||
| Facility type for teen’s providers | ||||
| All public facilities | 984 (67.1) | 421 (32.9) | 1239 (87.7) | 166 (12.3) |
| All hospital facilities | 607 (61.6) | 380 (38.4) | 826 (84.5) | 161 (15.5) |
| All private facilities | 2973 (65.7) | 1522 (34.3) | 3829 (85.8) | 666 (14.2) |
| Mixed/Other | 1812 (65.3) | 853 (34.7) | 2299 (87.3) | 366 (12.8) |
| Missing, n (%) | 201 (2.06) | 201 (2.06) | ||
| Do teen’s providers order vaccination from states/ local health department | ||||
| All providers | 4345 (62.8) | 2410 (37.3) | 5723 (84.9) | 1032 (15.1) |
| Some but possibly not all | 925 (67.6) | 387 (32.5) | 1158 (88.7) | 154 (11.3) |
| No providers | 745 (73.5) | 225 (26.5) | 871 (88.2) | 99 (11.8) |
| Don’t know | 458 (71.8) | 209 (28.2) | 574 (89.1) | 93 (10.9) |
| Missing, n (%) | 49 (0.50) | 49 (0.50) | ||
| Influenza vaccinatione | ||||
| No | 4263 (78.1) | 1109 (21.9) | 4976 (92.9) | 396 (7.1) |
| Yes | 2259 (48.7) | 2122 (51.3) | 3399 (77.2) | 982 (22.8) |
| TDAP vaccinationf | ||||
| No | 2147 (76.3) | 635 (23.7) | 2561 (92.0) | 221 (8.0) |
| Yes | 4375 (61.2) | 2596 (38.8) | 5814 (83.9) | 1157 (16.1) |
| Meningitis vaccinationg | ||||
| No | 2151 (92.8) | 154 (7.2) | 2249 (97.5) | 56 (2.5) |
| Yes | 4371 (57.5) | 3077 (42.5) | 6126 (82.9) | 1322 (17.1) |
aAdolescents with adequately complete provider-reported immunization records in the 2013 NIS-Teen survey were included in our analysis. Respondents from the U.S. Virgin Islands were excluded
bUnweighted frequencies and weighted percentages from Dual-Frame Sampling Weights
cHPV completion includes those who had received at least 3 doses of the HPV vaccine and is potentially overlapping with ≥1 dose of HPV vaccine
dMarital status “other” category includes: never married/widowed/divorced/separated/deceased. Ethnicity/race of teens “other” category includes: Non-Hispanic Black and Non-Hispanic Other & Multiple Race
eAdolescent has taken at least one dose of seasonal influenza vaccination in the past three years
fAdolescent has taken at least one dose of TDAP only vaccination since age 10 years old and before 13 years old
gAdolescent has taken at least one dose of Meningitis vaccination
Among female adolescents, 57.4% (n = 5098/8874) had received at least one dose of the HPV vaccine and 38.2% (n = 3390/8874) had received 3 doses of the HPV vaccine. In comparison, only 33.1% of male adolescents had received at least one dose of the HPV vaccine (n = 3231/9753), and 14.1% had received three doses of the HPV vaccine (n = 1378/9753).
Females’ Sociodemographics and HPV initiation and completion
In Table 2, compared with mothers ≤34 years old, mothers aged 35–44 years and ≥45 years had lower prevalence of a daughter with HPV vaccine initiation (PR = 0.87, p ≤ 0.01). Mothers with some college had lower prevalence of a daughter who had initiated HPV vaccination than mothers with <High school education (PR = 0.90, p = 0.03). Unmarried mothers had higher prevalence of a daughter with HPV vaccine initiation (PR = 1.15, p < 0.01), and completion (PR = 1.12, p = 0.04) than married mothers. Compared to Hispanic female adolescents, females with Other race had lower prevalence of HPV vaccine initiation (PR = 0.91, p = 0.05). Female adolescents aged 15, 16, and 17 years had higher prevalence of HPV vaccine initiation (PR = 1.21–1.34, p < 0.01), and those aged 14, 15, 16, and 17 years had higher prevalence of completion (PR = 1.24–2.17, p ≤ .01) compared to 13-year olds. Female adolescents who saw providers in a hospital facility had higher prevalence of HPV vaccine initiation (PR = 1.11, p = 0.04) and completion (PR = 1.23, p = 0.05) than those who saw providers in public facilities. Female adolescents with no providers who utilized state/local health departments for vaccine supplies had lower prevalence of HPV vaccine initiation than those with all providers sourcing vaccine supplies from state/local health departments (PR = 0.89, p = 0.03). Female adolescents who had received seasonal influenza (PR = 1.46, p < 0.01), TDAP (PR = 1.09, p < 0.03), and meningitis (PR = 2.49, p < 0.01) vaccinations at recommended intervals had higher prevalence of initiating HPV vaccination as well as completing the HPV vaccine series (influenza: PR = 1.73, p < 0.01, TDAP: PR = 1.49, p < 0.01, and meningitis: PR = 3.35, p < 0.01) than those who were unvaccinated. Poverty status and type of health insurance for teens were not associated with HPV vaccination in multivariable analyses of female adolescents.
Table 2.
Multivariable analysis of factors associated with HPV initiation and completion among female and male adolescents, NIS-Teen 2013a
| FEMALES | ||||||
|---|---|---|---|---|---|---|
| ≥1 dose of HPV vaccine (N = 8256) | HPV vaccine completion (N = 8256) | |||||
| Adjusted vaccination coverageb % (95%CI) | Adjusted prevalence ratio (95%CI)c | p-value | Adjusted vaccination coverageb % (95%CI) | Adjusted prevalence ratio (95%CI)c | p-value | |
| Age(Mother/Parent) | ||||||
| ≤ 34 years old | 64.9 (59.1, 70.7) | Reference | 41.7 (35.3, 48.1) | Reference | ||
| 35–44 years old | 56.4 (53.6, 59.1) | 0.87 (0.79, 0.96) | <0.01 | 36.8 (34.0, 39.6) | 0.88 (0.75, 1.05) | 0.15 |
| ≥ 45 years old | 56.8 (54.1, 59.4) | 0.87 (0.79, 0.97) | 0.01 | 37.5 (34.8, 40.2) | 0.90 (0.76, 1.07) | 0.23 |
| Education (Mother) | ||||||
| < High school | 61.7 (56.9, 66.5) | Reference | 39.8 (33.2, 46.4) | Reference | ||
| High school | 59.1 (55.2, 62.9) | 0.96 (0.87, 1.05) | 0.35 | 41.6 (37.3, 45.9) | 1.04 (0.87, 1.25) | 0.63 |
| Some college | 55.2 (51.7, 58.7) | 0.90 (0.81, 0.99) | 0.03 | 34.6 (31.2, 37.9) | 0.87 (0.72, 1.05) | 0.15 |
| College graduate | 56.1 (52.9, 59.3) | 0.91 (0.82, 1.01) | 0.07 | 36.2 (33.0, 39.4) | 0.91 (0.74, 1.11) | 0.36 |
| Poverty status | ||||||
| Above poverty (>$75 k) | 57.5 (54.0, 61.0) | Reference | 37.9 (34.1, 41.6) | Reference | ||
| Above poverty (<=$75 k) | 55.4 (52.5, 58.4) | 0.96 (0.89, 1.04) | 0.35 | 36.5 (33.4, 39.5) | 0.96 (0.85, 1.09) | 0.55 |
| Below poverty | 60.1 (56.0, 64.3) | 1.05 (0.94, 1.16) | 0.39 | 38.7 (33.8, 43.6) | 1.02 (0.85, 1.23) | 0.82 |
| Marital status of mother | ||||||
| Married | 54.5 (52.1, 56.8) | Reference | 36.1 (33.7, 38.4) | Reference | ||
| Otherd | 62.7 (59.5, 65.8) | 1.15 (1.08, 1.23) | <0.01 | 40.4 (36.9, 43.8) | 1.12 (1.01, 1.25) | 0.04 |
| Ethnicity/Race of teens | ||||||
| Hispanic | 61.1 (56.8, 65.4) | Reference | 41.2 (36.1, 46.2) | Reference | ||
| Non-Hispanic White only | 56.5 (54.1, 59.0) | 0.93 (0.85, 1.01) | 0.07 | 36.4 (34.0, 38.7) | 0.88 (0.77, 1.02) | 0.09 |
| Otherd | 55.9 (52.4, 59.4) | 0.91 (0.84, 1.00) | 0.05 | 37.0 (33.5, 40.5) | 0.90 (0.78, 1.04) | 0.16 |
| Age in years of selected teen | ||||||
| 13 years old | 48.7 (45.2, 52.2) | Reference | 24.3 (21.0, 27.7) | Reference | ||
| 14 years old | 53.0 (49.2, 56.7) | 1.09 (0.99, 1.19) | 0.08 | 30.2 (26.7, 33.7) | 1.24 (1.04, 1.48) | 0.01 |
| 15 years old | 59.0 (55.1, 62.8) | 1.21 (1.10, 1.33) | <0.01 | 39.6 (35.5, 43.7) | 1.63 (1.38, 1.92) | <0.01 |
| 16 years old | 62.6 (58.7, 66.5) | 1.28 (1.17, 1.41) | <0.01 | 45.4 (41.1, 49.6) | 1.86 (1.58, 2.19) | <0.01 |
| 17 years old | 65.1 (60.7, 69.5) | 1.34 (1.21, 1.47) | <0.01 | 52.8 (48.0, 57.5) | 2.17 (1.84, 2.55) | <0.01 |
| Source of health insurance for teens | ||||||
| Provided through employment or union | 57.0 (54.4, 59.5) | Reference | 37.5 (34.9, 40.2) | Reference | ||
| Not Provided through employment or union | 58.0 (54.7, 61.2) | 1.02 (0.94, 1.10) | 0.65 | 37.6 (34.0, 41.1) | 1.00 (0.88, 1.14) | 0.99 |
| Facility type for teen’s providers | ||||||
| All public facilities | 58.2 (53.8, 62.7) | Reference | 34.0 (28.8, 39.3) | Reference | ||
| All hospital facilities | 64.7 (59.7, 69.7) | 1.11 (1.00, 1.23) | 0.04 | 41.9 (35.7, 48.0) | 1.23 (1.00, 1.51) | 0.05 |
| All private facilities | 57.1 (54.4, 59.9) | 0.98 (0.90, 1.07) | 0.67 | 38.6 (35.9, 41.3) | 1.13 (0.96, 1.34) | 0.14 |
| Mixed/Other | 55.0 (51.3, 58.6) | 0.94 (0.86, 1.04) | 0.25 | 35.9 (32.3, 39.6) | 1.06 (0.88, 1.27) | 0.57 |
| Do teen’s providers order vaccination from states/ local health department | ||||||
| All providers | 57.8 (55.6, 60.0) | Reference | 37.7 (35.5, 39.9) | Reference | ||
| Some but possibly not all | 60.3 (54.7, 65.9) | 1.04 (0.94, 1.15) | 0.39 | 37.4 (31.7, 43.0) | 0.99 (0.84, 1.16) | 0.91 |
| No providers | 51.5 (46.1, 56.8) | 0.89 (0.80, 0.99) | 0.03 | 37.5 (32.2, 42.8) | 1.00 (0.86, 1.16) | 0.95 |
| Don’t know | 57.5 (50.0, 64.9) | 0.99 (0.87, 1.14) | 0.94 | 36.8 (30.1, 43.6) | 0.98 (0.81, 1.18) | 0.81 |
| Influenza vaccinatione | ||||||
| No | 47.4 (44.8, 50.0) | Reference | 28.1 (25.6, 30.6) | Reference | ||
| Yes | 69.2 (66.8, 71.6) | 1.46 (1.37, 1.55) | <0.01 | 48.5 (45.8, 51.3) | 1.73 (1.56, 1.91) | <0.01 |
| TDAP vaccinationf | ||||||
| No | 53.7 (49.7, 57.6) | Reference | 27.5 (23.9, 31.1) | Reference | ||
| Yes | 58.6 (56.5, 60.7) | 1.09 (1.01, 1.18) | 0.03 | 40.9 (38.7, 43.2) | 1.49 (1.29, 1.72) | <0.01 |
| Meningitis vaccinationg | ||||||
| No | 26.0 (22.3, 29.8) | Reference | 12.7 (10.1, 15.3) | Reference | ||
| Yes | 64.8 (62.7, 67.0) | 2.49 (2.15, 2.89) | <0.01 | 42.6 (40.3, 44.8) | 3.35 (2.71, 4.15) | <0.01 |
| MALES | ||||||
| ≥1 dose of HPV vaccine (N = 9003) | HPV vaccine completion (N = 9003) | |||||
| Adjusted vaccination coverageb % (95%CI) | Adjusted prevalence ratio (95%CI)c | p-value | Adjusted vaccination coverageb % (95%CI) | Adjusted prevalence ratio (95%CI)c | p-value | |
| Age(Mother/Parent) | ||||||
| ≤ 34 years old | 35.0 (30.3, 39.8) | Reference | 12.9 (9.4, 16.5) | Reference | ||
| 35–44 years old | 35.2 (32.5, 37.8) | 1.00 (0.87, 1.16) | 0.97 | 12.6 (10.6, 14.5) | 0.97 (0.71, 1.33) | 0.87 |
| ≥ 45 years old | 33.4 (30.6, 36.2) | 0.95 (0.81, 1.12) | 0.57 | 14.9 (12.7, 17.1) | 1.15 (0.83, 1.60) | 0.40 |
| Education (Mother) | ||||||
| < High school | 35.2 (30.4, 39.9) | Reference | 18.2 (13.4, 23.1) | Reference | ||
| High school | 34.6 (30.8, 38.3) | 0.98 (0.84, 1.14) | 0.82 | 13.5 (10.4, 16.6) | 0.74 (0.53, 1.03) | 0.08 |
| Some college | 29.6 (26.5, 32.7) | 0.84 (0.71, 1.00) | 0.05 | 11.4 (9.3, 13.5) | 0.62 (0.45, 0.86) | <0.01 |
| College graduate | 37.4 (33.7, 41.1) | 1.06 (0.89, 1.28) | 0.51 | 13.2 (11.1, 15.4) | 0.73 (0.52, 1.02) | 0.06 |
| Poverty status | ||||||
| Above poverty (>$75 k) | 34.4 (30.6, 38.2) | Reference | 14.8 (11.8, 17.9) | Reference | ||
| Above poverty (<=$75 k) | 32.7 (29.7, 35.7) | 0.95 (0.83, 1.09) | 0.47 | 13.1 (10.8, 15.4) | 0.88 (0.70, 1.11) | 0.30 |
| Below poverty | 36.5 (32.5, 40.6) | 1.06 (0.88, 1.27) | 0.52 | 13.0 (10.1, 16.0) | 0.88 (0.61, 1.27) | 0.49 |
| Marital status of mother | ||||||
| Married | 32.7 (30.4, 35.1) | Reference | 13.6 (11.9, 15.4) | Reference | ||
| Otherd | 37.2 (34.1, 40.4) | 1.14 (1.02, 1.27) | 0.02 | 13.6 (11.4, 15.8) | 1.00 (0.81, 1.23) | 0.98 |
| Ethnicity/Race of teens | ||||||
| Hispanic | 43.3 (38.8, 47.8) | Reference | 16.2 (12.9, 19.4) | Reference | ||
| Non-Hispanic White | 29.5 (27.3, 31.6) | 0.68 (0.60, 0.77) | <0.01 | 12.3 (10.7, 13.8) | 0.76 (0.60, 0.96) | 0.02 |
| Otherd | 35.7 (32.1, 39.4) | 0.83 (0.72, 0.95) | <0.01 | 13.9 (11.4, 16.5) | 0.86 (0.66, 1.12) | 0.26 |
| Age in years of selected teen | ||||||
| 13 years old | 32.0 (28.4, 35.6) | Reference | 11.4 (8.8, 14.1) | Reference | ||
| 14 years old | 33.0 (29.7, 36.3) | 1.03 (0.90, 1.19) | 0.67 | 11.5 (9.1, 13.9) | 1.01 (0.74, 1.37) | 0.96 |
| 15 years old | 35.9 (31.8, 40.1) | 1.12 (0.96, 1.31) | 0.14 | 15.9 (12.4, 19.3) | 1.39 (1.01, 1.90) | 0.04 |
| 16 years old | 36.1 (32.3, 39.8) | 1.13 (0.97, 1.31) | 0.11 | 12.9 (10.5, 15.3) | 1.13 (0.84, 1.52) | 0.41 |
| 17 years old | 35.7 (31.5, 39.9) | 1.12 (0.95, 1.31) | 0.18 | 17.5 (14.2, 20.8) | 1.53 (1.13, 2.05) | <0.01 |
| Source of health insurance for teens | ||||||
| Provided through employment or union | 31.2 (28.7, 33.8) | Reference | 12.6 (10.9, 14.3) | Reference | ||
| Not Provided through employment or union | 38.3 (35.1, 41.5) | 1.23 (1.08, 1.39) | <0.01 | 15.0 (12.4, 17.6) | 1.18 (0.93, 1.51) | 0.17 |
| Facility type for teen’s providers | ||||||
| All public facilities | 32.8 (27.9, 37.7) | Reference | 13.5 (9.2, 17.8) | Reference | ||
| All hospital facilities | 37.0 (32.8, 41.2) | 1.13 (0.94, 1.35) | 0.19 | 14.6 (10.7, 18.5) | 1.08 (0.72, 1.62) | 0.71 |
| All private facilities | 33.4 (30.9, 36.0) | 1.02 (0.87, 1.20) | 0.82 | 13.2 (11.4, 15.0) | 0.97 (0.69, 1.38) | 0.88 |
| Mixed/Other | 36.5 (33.1, 40.0) | 1.11 (0.94, 1.33) | 0.22 | 14.4 (11.8, 17.1) | 1.07 (0.74, 1.54) | 0.72 |
| Do teen’s providers order vaccination from states/ local health department | ||||||
| All providers | 36.1 (34.0, 38.3) | Reference | 15.2 (13.5, 16.8) | Reference | ||
| Some but possibly not all | 29.6 (24.6, 34.6) | 0.82 (0.69, 0.98) | 0.02 | 8.0 (5.6, 10.4) | 0.53 (0.39, 0.72) | <0.01 |
| No providers | 29.5 (24.1, 35.0) | 0.82 (0.68, 0.99) | 0.04 | 10.7 (7.3, 14.1) | 0.71 (0.51, 0.98) | 0.04 |
| Don’t know | 31.4 (24.5, 38.3) | 0.87 (0.69, 1.09) | 0.22 | 12.0 (8.0, 16.0) | 0.79 (0.56, 1.12) | 0.19 |
| Influenza vaccinatione | ||||||
| No | 24.5 (22.0, 26.9) | Reference | 7.8 (6.3, 9.3) | Reference | ||
| Yes | 44.9 (42.3, 47.6) | 1.84 (1.64, 2.05) | <0.01 | 20.0 (17.9, 22.2) | 2.58 (2.07, 3.20) | <0.01 |
| TDAP vaccinationf | ||||||
| No | 31.4 (27.8, 35.0) | Reference | 11.1 (8.6, 13.5) | Reference | ||
| Yes | 35.2 (33.1, 37.4) | 1.12 (0.99, 1.27) | 0.07 | 14.3 (12.8, 15.9) | 1.30 (1.01, 1.67) | 0.04 |
| Meningitis vaccinationg | ||||||
| No | 9.0 (6.4, 11.6) | Reference | 4.0 (2.1, 5.9) | Reference | ||
| Yes | 39.8 (37.7, 42.0) | 4.43 (3.31, 5.93) | <0.01 | 15.4 (13.9, 16.9) | 3.89 (2.39, 6.35) | <0.01 |
aBold indicates significance at p < 0.05, due to rounding some significant p-values are labeled 0.05
bMultivariable Poisson regression models are not based on an explicit causal structure and therefore the estimates may suffer from a “Table 2 fallacy” as described by Westreich and Greenland: The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients. Am J Epidemiol. 2013;177(4):292–298
cAdjusted multivariable Poisson regressions estimate prevalence ratios by comparing one level of each variable to the reference level. Adjusted prevalence ratios are adjusted for all sociodemographic variables in the tables. Models were ran separately for females and males
dMarital status “other” category includes: never married/widowed/divorced/separated/deceased. Ethnicity/race of teens “other” category includes: Non-Hispanic Black and Non-Hispanic Other & Multiple Race
eAdolescent has taken at least one dose of seasonal influenza vaccination in the past three years
fAdolescent has taken at least one dose of TDAP only vaccination since age 10 years old and before 13 years old
gAdolescent has taken at least one dose of Meningitis vaccination
Males’ Sociodemographics and HPV initiation and completion
In Table 2, mothers with some college had lower prevalence of a son initiating (PR = 0.84, p = 0.05) and completing (PR = 0.62, p < 0.01) HPV vaccination than those with <High school education. Unmarried mothers had higher prevalence of having a son initiate HPV vaccination than married mothers (PR = 1.14, p = 0.02). Compared with Hispanic male adolescents, Non-Hispanic White male adolescents (PR = 0.68, p < 0.01) and Other ethnicity/race male adolescents (PR = 0.83, p < 0.01) had lower prevalence of HPV vaccine initiation, and those of Non-Hispanic White ethnicity/race had lower HPV vaccine completion (PR = 0.76, p = 0.02) compared to Hispanic males. While age was not associated with initiation of the HPV vaccine, those who were 15 (PR = 1.39, p = 0.04) and 17 (PR = 1.53, p < 0.01) years old had higher prevalence of HPV vaccine completion compared to 13 year olds. Male adolescents with health insurance that was not provided through employment or union had higher prevalence of initiating HPV vaccination (PR = 1.23, p < 0.01) than those with employer or union sponsored health insurance. Male adolescents with some but possibly not all providers (PR = 0.82, p = 0.02) and none of providers (PR = 0.82, p = 0.04) utilizing state/local health departments for vaccine supplies had a lower prevalence of initiating and completing (PR = 0.53, p < 0.01, PR = 0.71, p = 0.04, respectively) HPV vaccination than those who reported all providers sourced vaccine supplies from state/local health department. Additionally, male adolescents who received seasonal influenza vaccination (PR = 1.84, p < 0.01) and meningitis vaccination (PR = 4.43, p < 0.01) at recommended timeframes had higher prevalence of HPV vaccine initiation than those who did not receive these vaccines. Male adolescents had higher prevalence of vaccine completion if they had received seasonal influenza vaccination (PR = 2.58, p < 0.01) TDAP (PR = 1.30, p = 0.04), and Meningitis vaccinations (PR = 3.89, p < 0.01) at recommended intervals. Mother’s age, poverty status, and facility type for teen’s providers were not associated with HPV vaccination in multivariable analyses of male adolescents.
We performed a Pearson correlation matrix of all sociodemographic variables to assess potential collinearity of variables included in the multivariable regression models. There was no evidence of multicollinearity so all variables were maintained in the final tables.
Discussion
Sociodemographic factors like education level, marital and poverty status, and health insurance are considered social determinants of health because they influence the circumstances which determine an individual’s health and wellbeing [22]. By identifying sociodemographics that are associated with HPV vaccination, this research may inform future interventions in areas where social determinants are established (e.g., education systems, communities, healthcare organizations) to improve HPV vaccination [22]. Sociodemographic factors that were positively associated with HPV vaccination included not having employer/union sponsored health insurance, having an unmarried mother, and being of minority ethnicity/race. Other sociodemographic factors including mothers having some college education and being of non-Hispanic white ethnicity/race, were negatively associated with HPV vaccination.
Adolescents who are White, have married mothers, and who attend public facilities (girls) or state/local health departments (boys) were least likely to be vaccinated compared to their counterparts. These findings reflect previous research in that parents of White ethnicity/race and higher educated parents may be more hesitant about HPV vaccination [6, 23, 24], despite White individuals being more likely to have heard of the HPV vaccine compared to individuals of minority ethnicity [13]. Our finding of the negative association of married mothers with vaccination may, likewise, be a reflection of higher socioeconomic status and lower willingness to vaccinate. Clinical interventions in healthcare facilities that serve the public as well as state/local health departments are needed. Improving the delivery of strong HPV vaccination recommendations among clinicians who are employed in these facilities may improve parent’s willingness to vaccinate. There is an abundance of provider training resources for devising strong recommendations for HPV vaccination that could be implemented and tested in public facilities [25].
Girls with Medicaid reported significantly higher HPV vaccination completion compared to those with private insurance (19% vs. 12%) [26]. While HPV vaccination is available with no-cost sharing from most private health insurance plans, options for public financing (e.g., Medicaid, Vaccines for Children, Immunization Grant Program, and Children’s Health Insurance Program) for HPV vaccination may be more robust in comparison [27]. Moreover, differential provider recommendation may occur for those receiving services from providers who are covered under private versus public insurance plans. Reasons for differential receipt of the HPV vaccine between privately and publicly insured adolescents cannot be clearly determined without further research.
Receipt of adolescent vaccinations was positively associated with HPV vaccination. In 2013, the President’s Cancer Panel Report focused on improving HPV vaccination, and suggested three strategies to combat low vaccination coverage in the U.S. [28]. The first of these recommendations was to reduce missed clinical opportunities for HPV vaccination by coupling HPV vaccination with other adolescent immunizations [28]. Our finding of a strong association between meningitis vaccination and HPV vaccination is notable, and may be the result of bundled vaccinations and/or states requiring meningitis vaccination for school entry. Given the positive association between receipt of adolescent vaccinations and HPV vaccination, further research examining the feasibility of bundling HPV vaccination with other adolescent immunizations is needed and necessary for accelerating HPV vaccination in the U.S.
There are potential limitations to consider in the interpretation of these findings. Response bias may underrepresent individuals who declined to participate, and it is possible that nonresponders differ from participants on key sociodemographic characteristics, like income and race/ethnicity. The cross-sectional design of this data precludes our ability to assess changes in the association of sociodemographic factors over time. Furthermore, potential outcome misclassification of HPV vaccine completion may occur with cross-sectional surveys if an individual completes later doses of the HPV vaccine after the survey was conducted, but within the recommended time frame. However we performed a sensitivity analysis which indicated that all respondents who completed the HPV vaccine from our sample did so within the recommended 24 week timeframe. NIS-Teen survey weights do not resolve potential selection bias from limiting data to provider-validated records, which were unavailable for approximately 45% of the sample [19]. Although, provider validated records are generally similar in terms of sociodemographic characteristics compared to the full NIS-Teen sample, with the exception of having a larger proportion of married mothers and differential poverty status distribution. Lastly, although our results show statistically significant associations of sociodemographic factors with HPV vaccination, these associations may not demonstrate clinical significance.
Conclusions
Sociodemographic factors that merit attention in the targeted design of HPV vaccination interventions within the three base levels of the SEF were evaluated. Future research may benefit from distinguishing between completion of two and three dose HPV vaccines and exploring community level geographic factors that may extend these findings due to the heterogeneity of vaccination by locale [29, 30]. Multifaceted, targeted interventions that consider sociodemographic variation are needed to improve HPV vaccination among sub-groups of adolescents in the U.S. Recent studies have shown protection from HPV infection with fewer than three doses of the HPV vaccine [31, 32], emphasizing the need to initiate HPV vaccination at a younger age. Targeted intervention efforts are needed to improve HPV vaccine receipt among boys, non-Hispanic whites, and more affluent parents.
Acknowledgements
We are very grateful to Ken Boucher, PhD at the Huntsman Cancer Institute for his helpful feedback and statistical support on this manuscript and the Jonas Center for Nursing and Veterans Healthcare for their fellowship support to Ms. Warner.
Funding
This work was supported by the University of Utah College of Nursing, the Huntsman Cancer Institute Foundation, the Primary Children’s Hospital Foundation, the de Beaumont Foundation, and the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number 1ULTR001067, and by NIH/NCI Grant #1R03CA202566–01. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the National Institutes of Health or the Centers for Disease Control and Prevention.
Availability of data and materials
The datasets analyzed during this study are available at https://www.cdc.gov/nchs/nis/data_files_teen.htm.
Abbreviations
- CI
Confidence Interval
- HPV
Human Papillomavirus
- NIS-Teen
National Immunization Survey-Teen
- PR
Prevalence Ratio
- SEF
Social Ecological Framework
- TDAP
Tetanus Diphtheria and Pertussis
- US
United States
Authors’ contributions
ELW was involved in the conceptualization, conduct, analysis, interpretation of results, and final writing and editing of this manuscript. QD conducted the analysis, interpretation of results, and final writing and editing of this manuscript. LMP was involved in the analysis, interpretation of results, and final writing and editing of this manuscript. KH was involved in the conceptualization, conduct, analysis, interpretation of results, and final writing and editing of this manuscript. DK was involved in the conceptualization, conduct, analysis, interpretation of results, and final writing and editing of this manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable. Secondary analysis of publicly available data is considered exempt by the University of Utah Institutional Review Board.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Echo L. Warner, Email: echo.warner@hci.utah.edu
Qian Ding, Email: qian.ding@utah.edu.
Lisa M. Pappas, Email: lisa.pappas@hci.utah.edu
Kevin Henry, Email: khenry1@temple.edu.
Deanna Kepka, Email: deanna.kepka@hci.utah.edu.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets analyzed during this study are available at https://www.cdc.gov/nchs/nis/data_files_teen.htm.