Abstract
Background:
The current study examined self-reported human papillomavirus (HPV) vaccination uptake and intentions, and associations with psychosocial constructs among United States adults aged 18 to 26 and 27 to 45 years.
Methods:
Data were collected via an online survey from participants recruited from a research panel. Outcomes were HPV vaccination uptake and intentions. Multivariable binary and ordered logistic regression models were used to examine associations between HPV vaccination outcomes and psychosocial constructs, sociodemographics, and previous health behaviors.
Results:
HPV vaccination uptake in both age cohorts (N = 2722) was associated with multiple variables, including but not limited to: provider recommendation (adjusted odds ratio [aOR], 11.63 [95% CI, 7.70–17.56] and aOR, 14.26 [95% CI, 9.52–21.38], for those aged 18 to 26 and 27 to 45 years, respectively) and positive HPV vaccine attitudes (aOR, 2.40 [95% CI, 1.70–3.40] and aOR, 1.46 [95% CI,1.06–2.02]). Among those who did not report or were unsure of prior HPV vaccination (N =1894), only 4.6% and 8.1% (aged 18–26 and 27–45 years, respectively) reported being very likely to receive the HPV vaccine in the next year. Increased intentions were associated with more positive vaccine attitudes (aOR, 2.45 [95% CI, 1.91–3.15] and aOR, 2.19 [95% CI, 1.72–2.78]) and provider recommendation (yes vs no; aOR, 1.97 [95% CI, 1.38–2.83] and aOR, 1.82 [95% CI, 1.31–2.52]; don’t know/can’t remember vs no; aOR, 1.38 [95% CI, 1.03–1.84] and aOR, 1.60 [95% CI, 1.17–2.18]). Sociodemographics and health behaviors associated with increased intentions differed for each age cohort.
Conclusions:
Individual and interpersonal factors were associated with HPV vaccination uptake and intentions. Findings reveal the need for targeted interventions to improve HPV vaccination rates among these age groups.
Keywords: adults, cancer prevention, HPV vaccine, human papillomavirus, intentions, vaccination
Introduction
The human papillomavirus (HPV) vaccine can prevent up to 92% of HPV-related cancers.1 In the United States, routine HPV vaccination is recommended for all children aged 11 to 12 years and can be received starting at age 9 years.2 Catch-up vaccination is recommended for all individuals aged 13 to 26 years.2 The incidence of common HPV types and genital warts among young adults has decreased since the introduction of the HPV vaccine, and cervical cancer rates are expected to decline among cohorts of vaccinated adults.3,4
A large proportion of age-eligible adults in the United States remain unvaccinated.5 In 2017, only 51.5% of females and 21.1% of males aged 19 to 26 years and 15.8% of females and 3.2% of males aged 27 to 45 years had received at least 1 dose of the HPV vaccine.6 In 2018, the US Food and Drug Administration extended HPV vaccine eligibility to individuals aged 27 to 45 years.2,7 In 2019, the Advisory Committee on Immunization Practices recommended shared clinical decision-making for HPV vaccination among adults aged 27 to 45 years.8 The HPV vaccine has been deemed safe for adults, effective among adults aged 18 to 26 years, and includes early evidence of effectiveness among adults aged 27 to 45 years.9–13 HPV vaccination in adult populations shows some potential efficacy in reducing HPV-related morbidity and mortality and can be cost-effective.14,15 Thus, it is important to understand factors related to vaccination uptake among adults up to age 45 years to better understand influencing behavioral factors among these age cohorts.
The Health Belief Model16,17 and the Theory of Planned Behavior16,18 have been used to study HPV vaccination-related behaviors. The Health Belief Model19 and Theory of Planned Behavior20 focus on factors that influence individuals’ health behavior, with constructs assessing perceptions of risk, barriers to performing a behavior, and confidence in their ability to perform the behavior, among others.21 Among adults aged 18 to 45 years, predictors of HPV vaccination include positive social norms, younger age, and provider recommendation.22 Low HPV vaccine knowledge and lack of provider recommendation have been reported among reasons for young adults (aged 18–26 years) not receiving the vaccine.23 Among unvaccinated individuals aged 18 to 45 years, intentions to receive HPV vaccination have been associated with social norms, perceived behavioral control, sex, and provider recommendation.22 Previous studies were conducted with populations outside of the United States,24 limited to a specific United States,23 reported combined results for young and mid-age adults,22 or assessed only intentions to be vaccinated.25,26 Gaps in research are noted among adults of the specific age ranges that align with updated guidelines (i.e., aged 18–26 and 27–45 years). The purpose of this study was to examine associations between behavioral constructs, sociodemographics, health care covariates, and HPV vaccination uptake and intentions among a national sample of adults aged 18 to 26 and 27 to 45 years.
Materials and Methods
This cross-sectional study enrolled 4000 English-speaking adults to complete a 30-minute online survey between February 25, 2021, and March 24, 2021. The survey assessed self-reported HPV vaccination behaviors and intentions as well as sociodemographic, behavioral, and health-related factors. Participants were recruited through a research panel company using quota sampling based on sex at birth (50% female; 50% male) and age (50% aged 18–26 years; 50% aged 27–45 years). Eligible individuals were aged 18 to 45 years; able to speak, read, and understand English; living in the United States; had internet access; and were a research panelist directly through the research panel company or via verified partners. Although participants were recruited from all United States regions, we oversampled Florida residents to inform future research in the cancer center’s catchment area. The panel company sent emails to eligible individuals inviting them to complete the survey. We recruited 4000 participants (3485 broadly and 515 in Florida). Our team used a systematic strategy to review and clean all survey records.27 We removed records with consecutive identical answers, contradictory responses, nonsensical open-ended responses, and those completed in a unrealistic amount of time, resulting in 2722 final records. Methodological details for data cleaning and other analyses from this study are included elsewhere.27–29 For the current analyses, participants were asked about prior receipt of HPV vaccination (1 item), intentions to receive the vaccine in the next year (1 item), HPV vaccine knowledge (11 items),30,31 perceived risk (6 items for females and 4 items for males),16 perceived barriers (3 items),32 self-efficacy (9 items),33 attitudes about HPV vaccine (8 items),34 descriptive norms (3 items),35 health literacy (1 item),36 previous health behaviors and other covariates (5 items), and sociodemographics (13 items). Details about measures are found in Table 1. Study procedures were reviewed and approved with exempt status by the Moffitt Cancer Center Scientific Review Committee and institutional review board of record (Advarra).
TABLE 1.
Variable | Description | No. of items | Response scale | Cronbach alpha | Details about scoring and analysis |
---|---|---|---|---|---|
| |||||
Prior receipt of HPV vaccination | • Outcome variable • “Have you ever had the HPV vaccine?” |
• 1 | • Yes, No, or Don’t know. | • NA | • Those responding “No” or “Don’t know” were categorized as unvaccinated. |
Intentions to receive HPV vaccination (among those not previously vaccinated or unsure of vaccination status) | • Outcome variable • “How likely is it that you will get the HPV vaccine in the next year? |
• 1 | • 7-point scale from very unlikely (1) to very likely (7). | • NA | • Only individuals who did not report that they had been previously vaccinated answered this item. |
HPV vaccine knowledge | • Measured using a modified version of scales.30,31 Sample item: “The HPV vaccine protects you from every type of HPV” | • 11 | • True, False, Don’t know. | • α = 0.80 (aged 18–26 years) and • α = 0.78 (aged 27–45 years). |
• Correct responses received 1 point, and the scale scores were calculated as the sum of correct responses. • “Don’t know” was counted as an incorrect response. • Higher scores indicated higher knowledge. |
Perceived risk | • Measured using a modified version of a scale.16 • Sample item: “How likely do you think you are to get genital warts in the future?” |
• 6 items (participants assigned as female at birth) and • 4 items (participants assigned male sex at birth). |
• 7-point scale from “No chance” (1) to “Certain I will get” (7). | • α = 0.91 for females • α = 0.92 for males • α = 0.91 (females aged 18–26 years) • α = 0.89 (males aged 18–26 years) • α = 0.91 (females aged 27–45 years) • α = 0.93 (males aged 27–45 years). |
• Individual average scale scores were calculated for males and females (i.e., average of items for each male and each female). • Higher scores indicated greater perceived risk. |
Perceived barriers | • Measured using a previously validated scale.32 | • 3 | • 4-point Likert scale ranging from “Not at all concerned” (1) to “Very concerned” (4). | • α = 0.73 (aged 18–26 years) and • α = 0.80 (aged 27–45 years). |
• Higher scores indicated greater perceived barriers. |
Self-efficacy | • Measured participants’ perceived confidence to obtain HPV vaccination using a modified from a previous study.33 • Sample item (unvaccinated): “I can make an appointment to get the HPV vaccine” • Sample item (vaccinated): “Before I was vaccinated, I felt I could find a way to pay for the HPV vaccine” |
• 9 | • 5-point Likert scale from “Strongly agree” (1) to “Strongly disagree” (5). | • α = 0.89 for both age groups. | • Higher scores indicated higher perceived self-efficacy. |
HPV vaccine attitudes | • Assessed for all participants using a modified version of the Carolina HPV Immunization Attitudes and beliefs Scale (CHIAS).34 • Sample item: “I think the HPV vaccine might cause short-term problems, like fever or discomfort.” |
• 8 | • 5-point Likert scale from “Strongly agree” (1) to “Strongly disagree” (5). | • α = 0.71 (aged 18–26 years) and • α = 0.69 (aged 27–45 years). |
• The scale contained 4 negatively worded items (which were subsequently reverse coded) and 4 positively worded items. • Higher scale scores indicate more positive attitudes. |
Descriptive norms | • Assessed with a modified item:35 “In your best estimate, what percentage of peers (both men and women your age) do you think have received the HPV vaccine?” | • 1 | • 0–100 scale. | • NA | |
Health literacy | • Assessed with a single item from the Behavioral Risk Factor Surveillance System (BRFSS) Health Literacy module:36 “In general, how difficult is it for you to understand written health information?” | • 1 | • Very easy • Somewhat easy • Somewhat difficult • Very difficult • Don’t know/not sure • I prefer not to answer |
• NA | • For statistical analyses, responses were collapsed into three categories: very easy, not very easy (somewhat easy, somewhat difficult, and very difficult), and all other (I don’t look for health information, I don’t know/not sure, I prefer not to answer). |
Sociodemographics | • Participants indicated their sex assigned at birth, race, ethnicity, educational attainment, annual income, marital status, employment status, insurance status, sexual orientation, whether they were born in the United States, whether their parents were born in the United States, and whether they were parents or guardians of one or more children, and state of residence (collapsed to geographic region of residence). | • See Table 2 | • See Table 2 | • NA | |
Prior health behaviors and other covariates | • Prior vaccination behaviors (i.e., receipt of flu shot in the past 12 months, receipt of tetanus shot in the past 10 years) | • 2 | • Yes, No, Don’t know/Not sure, I prefer not to answer | • NA | • Variables were dichotomized (yes/no) for analysis. |
• Media sources (i.e., participants were asked whether they had heard about the HPV vaccine from various media information sources (e.g., television, radio, internet, newspaper, social media). Item modified from elsewhere.37 | • 1 | • Television • Radio • Internet • Newspaper/news website • Social media • Podcasts • Blog • None of the above |
• NA | • Variables were dichotomized (yes/no) for analysis. Yes = at least 1 option selected; No = no option selected or selected “none of the above”. | |
• Provider recommendation was measured with 1 item: “Has a health care provider ever recommended that you get the HPV vaccination?” | • 1 | • Yes, No, I don’t know/I can’t remember. | • NA | ||
• Among those indicating female sex at birth, history of having had a Pap test was measured with: “Have you ever had a Pap Test?” with the following | • 1 | • Yes, No, I don’t know/Not sure, Not applicable. | • NA | • For analyses purposes, we coded those who reported being assigned male sex at birth as “not applicable” for this item. |
Abbreviations: HPV, human papillomavirus; NA, not available.
Statistical analysis
Variables were summarized using descriptive statistics. Outcomes included HPV vaccination receipt and, among individuals who did not report prior vaccination, intentions to obtain the HPV vaccine in the next year. HPV vaccination was treated as a binary variable, and intentions were treated as ordinal. Multivariable logistic regression models were used for HPV vaccination, and multivariable proportional odds models were used for HPV vaccination intentions. Models used a complete case analysis method for handling missing data. Final models were chosen using backward selection with a significance level of 10%. Each relevant parameter estimate included an associated 95% CI. Analyses were conducted in SAS (Version 9.4).38
RESULTS
After data cleaning,27 the final analytic sample included 2722 individuals. Sociodemographic and health care variables by age cohort are displayed in Table 2. Among individuals aged 18 to 26 and 27 to 45 years, respectively, 492 (35.6%) and 336 (25.1%) reported ever receiving HPV vaccination; of those, 76.4% and 75.6% respectively reported receiving at least two vaccine doses. Among those who did not report prior vaccination, only 4.6% of those aged 18 to 26 years and 8.1% of those aged 27 to 45 years indicated being very likely to get the HPV vaccine in the next year.
TABLE 2.
Variable | 18–26 year cohort No. (%) (N = 1381) |
27– 45 year cohort No. (%) (N = 1341) |
---|---|---|
| ||
Sex assigned at birth | ||
Female | 740 (53.6) | 783 (58.4) |
Male | 641 (46.4) | 558 (41.6) |
Race | ||
White | 842 (61.1) | 1092 (81.6) |
Black/African American | 200 (14.5) | 114 (8.5) |
Othera | 337 (24.4) | 133 (9.9) |
Missing | 2 | 2 |
Ethnicity | ||
Hispanic | 316 (23.0) | 131 (9.8) |
Non-Hispanic | 1059 (77.0) | 1207 (90.2) |
Missing | 6 | 3 |
Born in the United States | ||
No | 97 (7.0) | 92 (6.9) |
Yes | 1282 (93.0) | 1247 (93.1) |
Missing | 2 | 2 |
Parent born outside of the United States | ||
No | 949 (69.7) | 1109 (83.4) |
Yes | 412 (30.3) | 221 (16.6) |
Missing | 20 | 11 |
Educational attainment | ||
High school or less | 457 (33.2) | 204 (15.2) |
Some college/associate degree | 510 (37.0) | 360 (26.9) |
Bachelor’s degree | 318 (23.1) | 439 (32.8) |
Graduate school | 93 (6.7) | 336 (25.1) |
Missing | 3 | 2 |
Annual income | ||
$0–$19,999 | 221 (16.5) | 110 (8.2) |
$20,000–$49,999 | 378 (28.2) | 295 (22.1) |
$50,000–$74,999 | 291 (21.7) | 267 (20.0) |
$75,000–$99,999 | 222 (16.5) | 234 (17.5) |
$100,000 or more | 230 (17.1) | 428 (32.1) |
Missing | 39 | 7 |
Marital status | ||
Married/partner | 437 (31.7) | 966 (72.0) |
All otherb | 942 (68.3) | 375 (28.0) |
Missing | 2 | - |
Employment status | ||
Employed | 860 (62.4) | 1115 (83.3) |
Unemployed | 198 (14.4) | 112 (8.4) |
Other | 321 (23.3) | 112 (8.4) |
Missing | 2 | 2 |
Sexual orientation | ||
All other c | 282 (20.7) | 159 (12.2) |
Heterosexual/straight | 1083 (79.3) | 1142 (87.8) |
Missing | 16 | 40 |
Health insurance status | ||
No | 271 (19.7) | 186 (13.9) |
Yes | 1108 (80.3) | 1151 (86.1) |
Missing | 2 | 4 |
Parent of ≥1 child | ||
No | 1157 (83.8) | 439 (32.8) |
Yes | 223 (16.2) | 900 (67.2) |
Missing | 1 | 2 |
Geographic region | ||
Midwest | 321 (23.2) | 262 (19.5) |
Northeast | 208 (15.1) | 227 (16.9) |
South | 458 (33.2) | 614 (45.8) |
West | 394 (28.5) | 238 (17.7) |
Receipt of flu shot in past 12 months | ||
No | 804 (58.2) | 715 (53.3) |
Yes | 557 (41.8) | 626 (46.7) |
Receipt of tetanus shot in past 10 years | ||
No | 493 (35.7) | 512 (38.2) |
Yes | 705 (51.0) | 711 (53.0) |
Don’t know/Not sure | 183 (13.3) | 118 (8.8) |
Ever received a Papanicolaou test | ||
No | 378 (27.4) | 155 (11.6) |
Yes | 313 (22.7) | 599 (44.7) |
Don’t know/not sure | 49 (3.5) | 28 (2.1) |
Not applicable (male sex at birth) | 641 (46.4) | 558 (41.6) |
Missing | - | 1 |
Information sources for HPV-related information | ||
No | 607 (44.1) | 406 (30.4) |
Yes | 770 (55.9) | 931 (69.6) |
Missing | 4 | 4 |
Provider recommendation for HPV vaccination | ||
No | 560 (40.6) | 713 (53.2) |
Yes | 491 (35.6) | 432 (32.3) |
I don’t know/can’t remember | 328 (23.8) | 194 (14.5) |
Missing | 2 | 2 |
How difficult is it to understand written health information? | ||
Very easy | 420 (30.5) | 532 (39.9) |
Not very easyd | 875 (63.5) | 755 (56.6) |
Othere | 83 (6.0) | 48 (3.6) |
Missing | 3 | 6 |
Have you ever had the HPV vaccine? | ||
Yes | 492 (35.6) | 336 (25.1) |
No/I don’t know | 889 (64.4) | 1005 (74.9) |
Questions asked only of those who had already been vaccinated (N = 828) | N = 492 | N = 336 |
How many shots of the HPV vaccine have you had?f | ||
1 shot | 45 (9.1) | 38 (11.3) |
2 shots | 197 (40.0) | 157 (46.7) |
3 or more shots | 123 (25.0) | 71 (21.1) |
At least 1 shot, but I don’t know | 37 (7.5) | 16 (4.8) |
At least 2 shots, but I don’t know | 56 (11.4) | 26 (7.7) |
I don’t know | 34 (6.9) | 28 (8.3) |
Missing | 0 | 0 |
At what age did you receive the first shot of the HPV vaccine series? | ||
≤14 years | 258 (52.7) | 83 (24.8) |
15–17 years | 96 (19.6) | 44 (13.1) |
18–26 years | 106 (21.6) | 105 (31.3) |
27–45 years | - | 83 (24.8) |
Don’t know/not sure | 30 (6.1) | 20 (6.0) |
Missing | 2 | 1 |
Questions asked only of those who were unvaccinated or unsure of their vaccination status (N = 1894) | n = 889 | n = 1005 |
How likely is it that you’ll get the HPV vaccine in the next year? | ||
Very unlikely | 210 (23.8) | 238 (23.9) |
Somewhat unlikely | 101 (11.4) | 116 (11.7) |
A little unlikely | 91 (10.3) | 67 (6.7) |
Neither unlikely nor likely | 265 (30.0) | 254 (25.5) |
A little likely | 111 (12.6) | 115 (11.6) |
Somewhat likely | 64 (7.2) | 124 (12.5) |
Very likely | 41 (4.6) | 81 (8.1) |
Missing | 6 | 10 |
| ||
Continuous variables | Mean (SD) Observed range |
Mean (SD) Observed range |
| ||
HPV vaccine knowledge (total score) | 4.10 (3.1) | 4.6 (3.0) |
0–11 | 0–11 | |
Perceived risk (average score) | 2.67 (1.2) | 3.03 (1.4) |
1–7 | 1–7 | |
Perceived barriers (average score) | 2.2 (0.9) | 2.36 (0.92) |
1–4 | 1–4 | |
Self-efficacy (average score) | 3.68 (0.7) | 3.93 (0.7) |
1–5 | 1–5 | |
Attitudes (average score) | 3.29 (0.6) | 3.3 (0.6) |
1–5 | 1–5 | |
Descriptive norms (%) | 46 (23.3) | 44 (24.2) |
0–100 | 0–100 |
Note: Data are presented as n (%) except where noted otherwise. Abbreviation: HPV, human papillomavirus.
Includes American Indian or Alaska Native, Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, other Asian, Native Hawaiian, Guamanian or Chamorro, Samoan, other Pacific Islander, and none of these.
Includes divorced, widowed, separated, dating exclusively, dating not exclusively, not currently dating, and never been married.
Includes gay or lesbian, bisexual, other not listed but specified in a textbox.
Includes somewhat easy, somewhat difficult, and very difficult.
Includes I don’t look for health information, I don’t know/not sure, I prefer not to answer.
Quantities may not add up to 100 because of rounding.
Factors associated with receipt of HPV vaccine
Most notably, provider recommendation (or lack thereof) was associated with a substantial difference in HPV vaccination uptake. Among those aged 18 to 26 and 27 to 45 years, respectively, those who received a provider recommendation had 11.63 times and 14.26 times the adjusted odds of receiving HPV vaccination compared with those who did not (95% CI, 7.70–17.56 and 9.52–21.38, respectively; Table 3); even those who were unsure of whether they had a provider recommendation had higher adjusted odds than those who reported that their provider did not recommend HPV vaccination (adjusted odds ratio (aOR); 2.56 [95% CI, 1.63–4.01] and 1.59 [95% CI, 0.90–2.83]; Table 3).
TABLE 3.
18–26 year cohort (N = 1337) |
27–45 year cohort (N = 1269) |
|||||
---|---|---|---|---|---|---|
|
|
|||||
Variable | OR (95% CI) | OR p | Overall p | OR (95% CI) | OR p | Overall p |
| ||||||
HPV vaccine knowledge | 1.27 (1.19–1.36) | <.001 | <.001 | 1.13 (1.05–1.21) | .001 | .001 |
Perceived risk | 1.19 (1.03–1.37) | .016 | .016 | 1.16 (1.02–1.33) | .024 | .024 |
Perceived barriers | 0.62 (0.50–0.77) | <.001 | <.001 | - | - | - |
Perceived self-efficacy | 0.45 (0.35–0.58) | <.001 | <.001 | 0.48 (0.36–0.64) | <.001 | <.001 |
HPV vaccine attitudes | 2.40 (1.70–3.40) | <.001 | <.001 | 1.46 (1.06–2.02) | .022 | .022 |
Descriptive norms | 1.03 (1.02–1.04) | <.001 | <.001 | 1.02 (1.02–1.03) | <.001 | <.001 |
Provider recommendation | ||||||
No | Ref | <.001 | Ref | <.001 | ||
Yes | 11.63 (7.70–17.56) | <.001 | 14.26 (9.52–21.38) | <.001 | ||
Don’t know/can’t remember | 2.56 (1.63–4.01) | <.001 | 1.59 (0.90–2.83) | .113 | ||
Parent born outside of the United States | .006 | .011 | ||||
No | Ref | Ref | ||||
Yes | 1.65 (1.15–2.36) | .006 | 1.77 (1.14–2.73) | .011 | ||
Receipt of flu shot in past 12 months | .041 | |||||
No | Ref | - | ||||
Yes | 1.42 (1.02–2.00) | .041 | - | |||
Receipt of tetanus shot ≤10 years | .069 | .050 | ||||
No | Ref | Ref | ||||
Yes | 1.51 (1.03–2.21) | .035 | 1.58 (1.08–2.32) | .019 | ||
Don’t know/not sure | 1.01 (0.58–1.76) | .980 | 1.66 (0.86–3.23) | .133 | ||
Ever had a Pap test | <.001 | <.001 | ||||
No | Ref | Ref | ||||
Yes | 2.73 (1.73–4.31) | <.001 | 3.19 (1.73–5.89) | <.001 | ||
Don’t know/not sure | 1.26 (0.45–3.58) | .659 | 2.71 (0.76–9.63) | .124 | ||
Not applicable | 1.30 (0.87–1.94) | .198 | 1.61 (0.88–2.95) | .120 | ||
Has heard of HPV from information sources | .030 | |||||
No | Ref | - | ||||
Yes | 1.48 (1.04–2.10) | .030 | - | |||
Annual income | .032 | |||||
$0–$19,999 | - | 0.24 (0.10–0.58) | .002 | |||
$20,000–$49,999 | - | 0.72 (0.43–1.20) | .212 | |||
$50,000–$74,999 | - | 0.77 (0.48–1.24) | .288 | |||
$75,000–$99,999 | - | 0.68 (0.41–1.13) | .134 | |||
$100,000 or more | - | Ref | ||||
Employment status | .042 | |||||
Employed | - | Ref | ||||
Unemployed | - | 1.68 (0.82–3.46) | .156 | |||
Othera | - | 0.47 (0.22–1.03) | .059 | |||
Sexual orientation | - | .017 | ||||
Heterosexual/straight | - | Ref | ||||
Other b | 1.87 (1.12–3.11) | .017 | ||||
Have health insurance | - | .051 | ||||
No | - | Ref | ||||
Yes | 1.82 (1.00–3.31) | .051 |
Abbreviations: HPV, human papillomavirus; OR, odds ratio; Pap, Papanicolaou.
Includes homemaker/full-time parent, student, retired, disabled/unable to work, and other specified in a textbox.
Includes gay or lesbian, bisexual, other not listed but specified in a textbox.
Additional factors positively associated with having received the HPV vaccine in both age groups were more positive HPV vaccine attitudes (aOR, 2.40 [95% CI, 1.70–3.40]) for those aged 18 to 26 years and aOR, 1.46 (95% CI, 1.06–2.02) for those aged 27 to 45 years; higher HPV vaccine knowledge (aOR, 1.27 [95% CI, 1.19–1.36]) for those aged 18 to 26 years and aOR, 1.13 (95% CI, 1.05–1.21) for those aged 27 to 45 years; greater perceived HPV risk (aOR, 1.19 [95% CI, 1.03–1.37]) for those aged 18 to 26 and aOR, 1.16 (95% CI, 1.02–1.33) aged 27 to 45 years; greater descriptive norms (aOR, 1.03 [95% CI, 1.02–1.04]) for those aged 18 to 26 and aOR, 1.02 (95% CI, 1.02–1.03; Table 3) for those aged 27 to 45 years (Table 3). Individuals with a parent born outside of the United States had higher adjusted odds of having received HPV vaccination compared with those who did not (aOR, 1.65 [95% CI, 1.15–2.36] for those aged 18–26 and aOR, 1.77 [95% CI, 1.14–2.73] for those aged 27–45 years). Previous health behaviors associated with vaccination include, for those 18 to 26 and 27 to 45 years, respectively, receipt of the tetanus shot (aOR, 1.51 [95% CI, 1.03–2.21] and 1.58 [95% CI, 1.08–2.32]), and ever having a Papanicolaou test (aOR, 2.73 [95% CI, 1.73–4.31] and aOR, 3.19 [95% CI, 1.73–5.89]). HPV vaccination uptake was negatively associated with higher self-efficacy scores (aOR, 0.45 [95% CI, 0.35–0.58] for those 18–26 years and aOR, 0.48 [95% CI, 0.36–0.64] for those aged 27–45 years). Among those aged 18 to 26 years, lower adjusted odds of HPV vaccination were associated with higher perceived vaccine barriers (aOR: 0.62 [95% CI, 0.50–0.77]), and higher adjusted odds of HPV vaccination were associated with receipt of the flu shot (aOR, 1.42 [95% CI, 1.02–2.00]) and having heard about HPV vaccine from at least one information source (aOR, 1.48 [95% CI, 1.04–2.10]).
Among individuals aged 27 to 45 years, sociodemographics such as sexual orientation other than heterosexual/straight (aOR, 1.87 [95% CI, 1.12–3.11]) were positively associated with having received HPV vaccination, whereas lower income level, especially having an annual income of less than $19,999 (vs. $100,000 or more), was associated with lower adjusted odds of receiving the HPV vaccine (aOR, 0.24 [0.10–0.58]). Employment status was associated with vaccination; in particular, those who checked “other” employment status (i.e., homemaker, retired, disabled, military, or student) had lower adjusted odds of having received HPV vaccination than those who were employed (aOR, 0.47 [95% CI, 0.22–1.03]). Having health insurance was associated with vaccination (aOR, 1.82 [95% CI, 1.00–3.31]).
Factors associated with intentions to receive the HPV vaccine in the next year
Among those who had not reported prior vaccination, factors associated with higher intentions to receive the HPV vaccine in both cohorts (aged 18–26 and 27–45 years, respectively) were more positive HPV vaccine attitudes (aOR, 2.45 [95% CI, 1.91–3.15] and aOR, 2.19 [95% CI, 1.72–2.78]); higher perceived risk (aOR, 1.74 [95% CI, 1.56–1.94] and aOR, 1.40 [95% CI, 1.27–1.55]); higher descriptive norms (aOR, 1.01 [95% CI, 1.00–1.01] and aOR, 1.02 [95% CI, 1.01–1.03]); and receiving a provider recommendation for HPV vaccine (vs. not receiving a recommendation; aOR, 1.97 [95% CI, 1.38–2.83] and aOR, 1.82 [95% CI, 1.31–2.52]) or being unsure or unable to remember receiving a recommendation (vs. not receiving a recommendation; aOR, 1.38 [95% CI, 1.03–1.84] and aOR, 1.60 [95% CI, 1.17–2.18]). In both cohorts, lower HPV vaccination intentions to get the vaccine in the next year were associated with higher HPV vaccine knowledge (aOR, 0.93 [95% CI, 0.89–0.98] for those aged 18–26 and aOR, 0.89 [95% CI, 0.85–0.93] for those aged 27–45 years).
Among those aged 18 to 26 years, respondents who were Black/African American had higher intentions to receive the HPV vaccination compared with White adults (aOR, 1.66 [95% CI, 1.16–2.36]). Receiving a flu shot (aOR, 1.68 [95% CI, 1.30–2.17]) and reporting it is very easy to understand health written information versus not very easy (aOR, 1.54 [95% CI, 1.17–2.02]) were positively associated with increased intentions (Table 4). Among those aged 27 to 45 years who did not report prior vaccination, factors positively associated with increased intentions to obtain the HPV vaccine in the next year included: perceived self-efficacy (aOR, 1.48 [95% CI, 1.23–1.78]) and perceived barriers (aOR, 1.19 [95% CI, 1.04–1.36]). Higher intentions to receive HPV vaccination were associated with educational attainment level, with intentions elevated for those having a graduate degree versus less than a high school diploma (aOR, 1.54 [95% CI, 1.06–2.23]), and having heard information about HPV vaccine from at least one media information source (aOR, 1.50 [95% CI, 1.16–1.96]). In the cohort aged 27 to 45 years, lower adjusted odds of reporting intentions to receive the vaccine in the next year were associated with having a history of Papanicolaou test, compared with reporting no history of Papanicolaou test among those eligible for Papanicolaou tests (aOR, 0.56 [95% CI, 0.38–0.80]; Table 4).
TABLE 4.
18–26 cohort (N = 863) |
27–45 cohort (N = 983) |
|||||
---|---|---|---|---|---|---|
|
|
|||||
Variable | OR (95% CI) | p | Overall p | OR (95% CI) | p | Overall p |
| ||||||
HPV vaccine knowledge | 0.93 (0.89–0.98) | .003 | .003 | 0.89 (0.85–0.93) | <.001 | <.001 |
Perceived risk | 1.74 (1.56–1.94) | <.001 | <.001 | 1.40 (1.27–1.55) | <.001 | <.001 |
Perceived barriers | - | 1.19 (1.04–1.36) | .011 | .011 | ||
Perceived self-efficacy | - | 1.48 (1.23–1.78) | <.001 | <.001 | ||
HPV vaccine attitudes | 2.45 (1.91–3.15) | <.001 | <.001 | 2.19 (1.72–2.78) | <.001 | <.001 |
Descriptive norms | 1.01 (1.00–1.01) | .050 | .050 | 1.02 (1.01–1.03) | <.001 | <.001 |
Provider recommendation | <.001 | <.001 | ||||
No | Ref | Ref | ||||
Yes | 1.97 (1.38–2.83) | <.001 | 1.82 (1.31–2.52) | <.001 | ||
Don’t know/can’t remember | 1.38 (1.03– 1.84) | .029 | 1.60 (1.17–2.18) | .003 | ||
Race | .014 | |||||
White | Ref | - | ||||
Black/African American | 1.66 (1.16–2.36) | .005 | - | |||
Other a | 0.97 (0.73–1.30) | 0.859 | - | |||
Educational attainment | .010 | |||||
High school or less | - | Ref | ||||
Some college/associate’s degree | - | 0.87 (0.61–1.23) | .418 | |||
Bachelor’s degree | - | 1.10 (0.79–1.55) | .570 | |||
Graduate school | - | 1.54 (1.06–2.23) | .024 | |||
Receipt of flu shot in past 12 months | <.001 | - | ||||
Yes | 1.68 (1.30–2.17) | <.001 | - | |||
No | Ref | |||||
Difficulty understanding health information | .008 | |||||
Not very easy b | Ref | - | ||||
Very easy | 1.54 (1.17–2.02) | .002 | - | |||
Other c | 0.94 (0.59–1.51) | .801 | - | |||
Ever had a Pap test | <.001 | |||||
No | - | Ref | ||||
Yes | - | 0.56 (0.38–0.80) | .002 | |||
Don’t know/Not sure | - | 0.79 (0.34–1.84) | .576 | |||
Not applicable d | - | 1.08 (0.75–1.54) | .687 | |||
Has heard of HPV from information sources | .003 | |||||
No | - | Ref | ||||
Yes | - | 1.50 (1.16–1.96) | .003 |
Abbreviations: HPV, human papillomavirus; Pap, Papanicolaou.
Includes American Indian or Alaska Native, Asian Indian, Chinese, Filipino, Japanese, Korean, Vietnamese, other Asian, Native Hawaiian, Guamanian or Chamorro, Samoan, other Pacific Islander, and none of these.
Includes somewhat easy, somewhat difficult, and very difficult.
Includes I don’t look for health information, I don’t know/not sure, I prefer not to answer.
Includes male sex at birth.
Discussion
The low proportions of HPV vaccination observed in our study demonstrate the urgent need for focused efforts to improve HPV vaccination uptake among age-eligible adults. These efforts would support the successful attainment of Healthy People 2030 goals to increase the proportion of vaccinated adults and reduce HPV-related infections and cancers among adults aged 19 years or older.39 Consistent with previous studies,22,40 our findings indicate that provider recommendations are strongly linked to uptake of HPV vaccination. This highlights the importance of health care access and the need for health care providers to consistently make strong HPV vaccination recommendations. Increasing communication skills among a wide range of providers (e.g., obstetricians/gynecologists, family medicine, pharmacists) who provide care to adult populations. Future studies should develop materials to educate providers about the HPV vaccine recommendations for their adult age–eligible patients and assess elements of effective shared clinical decision-making tailored to adults aged 27 to 45 years that could further improve patient-provider conversations and engagement. Similarly, educational materials should include strategies that promote patient-provider HPV vaccine communications.
Behavioral factors related to HPV vaccination receipt were similar for both age cohorts, excluding perceived barriers. Among adults aged 18 to 26 years, lower perceived barriers (i.e., cost, safety, and side effects) led to higher adjusted odds of having received the HPV vaccination. It is possible that individuals in this age cohort received the vaccine as children and thus their parents (as opposed to the respondents themselves) facilitated HPV vaccine receipt. In addition, this finding may reflect greater exposure to information campaigns for this age group that addressed their concerns about vaccine costs, risks, and safety. In the United States, vaccines are covered through private and public insurance for most young adults,41 which can help eliminate practical barriers such as vaccine costs. Additionally, findings suggest that HPV vaccine knowledge, perceived risk, descriptive norms, and attitudes seem to be important targets for health promotion and communication awareness campaign messages for both age groups, although effect sizes suggest that HPV vaccine attitudes had stronger contributions to vaccination receipt among adults aged 18 to 26 years. Thus, targeted messages that could aid in the formation of attitudes for this younger group might help in educational development. Our findings, which unexpectedly indicated that perceived self-efficacy was negatively linked to receipt of the vaccination, may be due to measurement and participant recall bias. Vaccinated participants were asked to recall their self-efficacy for obtaining the HPV vaccine months or years previously, or even as adolescents, when their parents may have made the decisions about getting them vaccinated.
Among those who did not report previous vaccination, perceived HPV risk, HPV vaccine attitudes, and HPV vaccine descriptive norms were positively related to HPV vaccination intentions in the next year. Prior research demonstrates beliefs about HPV vaccine effectiveness and protection against HPV infection are linked to vaccination intentions among adults aged 18 to 2642 and those aged 27 to 45 years.25 Among those who did not report prior HPV vaccination in our study, HPV vaccine knowledge was negatively associated with intentions to get the HPV vaccine in the next year. This finding could be explained by the timeframe in which these data were collected (i.e., 1 year into the COVID-19 pandemic). Timing could have influenced participants’ intentions to obtain the vaccine in the next year, considering COVID-19–related restrictions limiting access to care and recognition that multiple vaccine doses (visits to providers) are needed. Post hoc analyses revealed that HPV knowledge mean scores were higher among vaccinated individuals (mean = 6 vs. mean = 3.6, vaccinated vs. individuals who did not report prior HPV vaccination, respectively; see supplementary material). Additionally, positive descriptive norms have been linked to higher intentions to get vaccinated in the next year among adults aged 18 to 26 years.42 In our study, perceived barriers to HPV vaccination and perceived self-efficacy were positively associated with intentions to receive HPV vaccination in the next year among individuals aged 27 to 45 years, but not among those aged 18 to 26 years. Future educational interventions should address factors such as vaccine costs, possible side effects, and vaccine safety. Our findings also showed that higher intentions to obtain the HPV vaccine in the next year were associated with adequate health literacy (among those aged 18–26 years) or with having heard about HPV from at least one media source (among those aged 27–45 years). These findings can help inform targeted communication campaigns to increase awareness by age group, especially as it relates to creating content addressing individuals with differing levels of health literacy and accounting for different media usage. Last, interventionists should design and test the efficacy of persuasive messages that enhance HPV vaccination-related to mastery experiences and perceived self-efficacy, as such messages might lead to the formation of stronger intentions among adults aged 27 to 45 years.
We found that a larger number of sociodemographic factors were associated with receipt of HPV vaccination among adults aged 27 to 45 years. Adults aged 27–45 years with lower income, compared with those with the highest income, had lower adjusted odds of receiving HPV vaccination; individuals (27–45 years) with a sexual orientation other than heterosexual/straight had higher adjusted odds of receiving the HPV vaccine. This may be partly because of increased efforts to reach at-risk populations such as men who have sex with men.40 Having health insurance was associated with higher adjusted odds of receiving the HPV vaccine. This suggests that access to care and engagement with the health care system may play an important role among individuals aged 27 to 45 years. Although we did not study the pathways of this relationship, having insurance may indicate access to a provider who could recommend the vaccine. Greater educational attainment was associated with higher adjusted odds of increased intentions to get the HPV vaccine among individuals aged 27 to 45 years. Thompson and colleagues found that higher education was associated with intentions, but the relationship did not hold after adjusting for covariates.25 Understanding sociodemographic characteristics that might contribute to HPV vaccination disparities is important not only for clinical practice, but also for public policy efforts to improve HPV vaccination uptake.
Strengths and limitations
One of the major strengths of our study is that we assessed factors related to HPV vaccine outcomes by different age cohorts with the intention to inform future age-appropriate interventions that reflect Advisory Committee on Immunization Practices recommendations for HPV vaccination. Previous studies assessed HPV vaccine–related outcomes among adults using a wider 18 to 45 age cohort22,40 or cohorts that are inconsistent with age recommendations (i.e., aged 18–29, 18–30 years).24,26,43 Additionally, we used a large national sample of United States adults, which enhanced the sample composition and generalizability of the study to populations with similar characteristics. This study also has limitations. First, the study was a cross-sectional survey, limiting the assessment of temporal relationships. However, examining associations enhanced our understanding of factors linked to vaccine outcomes that could inform the development of targeted interventions. Second, the study was conducted online, and this medium may have not captured populations that do not have internet access and may have fewer resources.44 Third, this study was conducted during the COVID-19 pandemic, which may have influenced respondents’ timeline for HPV vaccination, especially their intentions to receive the vaccine in the next year. We describe respondents’ perceived impact of the pandemic on their vaccination timelines elsewhere.45 More research is needed to confirm our findings, expand evidence of HPV vaccine safety and effectiveness among adult populations, support shared clinical decision-making about HPV vaccination between providers and their patients aged 27 to 45 years, and promote vaccination among adults aged 18 to 26 years. A manuscript describing our findings on the development of educational tools promoting HPV vaccination among young adults (aged 18–26 years) is under way.
Conclusions
HPV vaccination remains underused among age-eligible adults in the United States. This study provides information on behavioral constructs that are modifiable and could be addressed in future interventions to boost adult vaccination rates. Findings suggest that sociodemographics and health care–related covariates associated with the outcomes differ by age cohort, and this could help target future age-relevant and more targeted educational interventions.
Supplementary Material
ACKNOWLEDGMENTS
Preliminary findings from this manuscript were presented at the Society of Behavioral Medicine 2022 annual meeting held April 6–9, 2022 in Baltimore, MD (presented on April 8, 2022). The study was supported with funding from a Moffitt Center for Immunization and Infection Research in Cancer Award (principal investigator: Shannon M. Christy) and a Moffitt Merit Society Award (principal investigator: Shannon M. Christy). This work has been supported in part by both the Participant Research, Interventions, and Measurement Core and the Biostatistics and Bioinformatics Shared Resource at the H. Lee Moffitt Cancer Center & Research Institute, a comprehensive cancer center designated by the National Cancer Institute and funded in part by Moffitt’s Cancer Center Support Grant (P30-CA076292; principal investigator: Cleveland). Monica Kasting is supported by grant numbers KL2TR002530 (principal investigator: Tucker Edmonds) and UL1TR002529 (principal investigators: Moe & Wiehe) from the National Institutes of Health, National Center for Advancing Translational Sciences, Clinical and Translational Sciences Award. Naomi Brownstein received additional support from the South Carolina Clinical and Translational Science (SCTR) Institute at the Medical University of South Carolina. The SCTR Institute is funded by the National Center for Advancing Translational Sciences of the National Institutes of Health (UL1TR001450). The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute, National Center for Advancing Translational Sciences, or National Institutes of Health.
Footnotes
CONFLICT OF INTEREST
Outside of the present work, Katharine J. Head has received investigator-initiated research funding from Merck, administered through Indiana University, and serves as an unpaid advisory member to the Indiana Immunization Coalition. Outside of the present work, Monica L. Kasting has received investigator-initiated research funding from Merck, administered through Purdue University. Jessica Y. Islam received consulting fees from Flatiron Health Inc. Shannon M. Christy is an unpaid advisory member to HPV Cancers Alliance. The other authors declare no conflicts of interest.
SUPPORTING INFORMATION
Additional supporting information can be found online in the Supporting Information section at the end of this article.
REFERENCES
- 1.Centers for Disease Control and Prevention. An estimated 92% of cancers caused by HPV could be prevented by vaccine. Published 2019. Accessed October 20, 2021. https://www.cdc.gov/media/releases/2019/p0822-cancer-prevented-vaccine.html
- 2.Food and Drug Administration. FDA approves expanded use of Gardasil 9 to include individuals 27 through 45 years old. FDA. Published 2018. Accessed 18 October 2021. https://www.fda.gov/news-events/press-announcements/fda-approves-expanded-use-gardasil-9-include-individuals-27-through-45-years-old [Google Scholar]
- 3.Drolet M, Bénard É, Pérez N, et al. Population-level impact and herd effects following the introduction of human papillomavirus vaccination programmes: updated systematic review and meta-analysis. Lancet. 2019;394(10197):497–509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Garland SM, Kjaer SK, Muñoz N, et al. Impact and effectiveness of the quadrivalent human papillomavirus vaccine: a systematic review of 10 years of real-world experience. Rev Infect Dis. 2016;63(4):519–527. doi: 10.1093/cid/ciw354 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pingali C, Yankey D, Elam-Evans LD, et al. National, regional, state, and selected local area vaccination coverage among adolescents aged 13–17 years—United States, 2020. MMWR (Morb Mortal Wkly Rep). 2021;70(35):1183–1190. doi: 10.15585/mmwr.mm7035a1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kasting ML, Giuliano AR, Christy SM, Rouse CE, Robertson SE, Thompson EL. Human papillomavirus vaccination prevalence among adults aged 19–45 years: an analysis of the 2017 National Health Interview Survey. Am J Prev Med. 2020;59(6):837–849. doi: 10.1016/j.amepre.2020.05.031 [DOI] [PubMed] [Google Scholar]
- 7.Advisory Committee on Immunization Practices (ACIP). Grading of Recommendations Assessment, Development and Evaluation (GRADE) for use of HPV vaccine in adults ages 27 through 45 years; 2019. [Google Scholar]
- 8.Meites E, Szilagyi PG, Chesson HW, Unger ER, Romero JR, Markowitz LE. Human papillomavirus vaccination for adults: updated recommendations of the Advisory Committee on Immunization Practices. Wiley Online Library; 2019:3202–3206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Maldonado I, Plata M, Gonzalez M, et al. Effectiveness, immunogenicity, and safety of the quadrivalent HPV vaccine in women and men aged 27–45 years. Hum Vaccin Immunother. 2022;18(5):2078626. doi: 10.1080/21645515.2022.2078626 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Kurosawa M, Sekine M, Yamaguchi M, et al. Long-term effects of human papillomavirus vaccination in clinical trials and real-world data: a systematic review. Vaccines. 2022;10(2):256. doi: 10.3390/vaccines10020256 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Huh WK, Joura EA, Giuliano AR, et al. Final efficacy, immunogenicity, and safety analyses of a nine-valent human papillomavirus vaccine in women aged 16–26 years: a randomised, double-blind trial. Lancet. 2017;390(10108):2143–2159. doi: 10.1016/s0140-6736(17)31821-4 [DOI] [PubMed] [Google Scholar]
- 12.Kamolratanakul S, Pitisuttithum P. Human papillomavirus vaccine efficacy and effectiveness against cancer. Vaccines. 2021;9(12):1413. doi: 10.3390/vaccines9121413 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Giuliano AR, Palefsky JM, Goldstone S, et al. Efficacy of quadrivalent HPV vaccine against HPV Infection and disease in males. N Engl J Med. 2011;364(5):401–411. doi: 10.1056/nejmoa0909537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Laprise J-F, Chesson HW, Markowitz LE, et al. Effectiveness and cost-effectiveness of human papillomavirus vaccination through age 45 years in the United States. Ann Intern Med. 2020;172(1):22–29. doi: 10.7326/m19-1182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Daniels V, Prabhu VS, Palmer C, et al. Public health impact and cost-effectiveness of catch-up 9-valent HPV vaccination of individuals through age 45 years in the United States. Hum Vaccin Immunother. 2021;17(7):1943–1951. doi: 10.1080/21645515.2020.1852870 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gerend MA, Shepherd JE. Predicting human papillomavirus vaccine uptake in young adult women: comparing the health belief model and theory of planned behavior. Ann Behav Med. 2012;44(2):171–180. doi: 10.1007/s12160-012-9366-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kasting M, Head K, Brichacek M, Shedd-Steele R, Zimet G. A qualitative analysis extending the health belief model to explain reasons for low HPV vaccine uptake. APHA; 2020. [Google Scholar]
- 18.Xiao X, Wong RM. Vaccine hesitancy and perceived behavioral control: a meta-analysis. Vaccine. 2020;38(33):5131–5138. doi: 10.1016/j.vaccine.2020.04.076 [DOI] [PubMed] [Google Scholar]
- 19.Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Q. 1988;15(2):175–183. doi: 10.1177/109019818801500203 [DOI] [PubMed] [Google Scholar]
- 20.Ajzen I The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. doi: 10.1016/0749-5978(91)90020-t [DOI] [Google Scholar]
- 21.Glanz K, Rimer BK, Viswanath K. Health behavior and health education: theory, research, and practice. John Wiley & Sons; 2008. [Google Scholar]
- 22.Alber JM, Askay D, Kolodziejski LR, Ghazvini S, Tolentino B, Gibbs SL. HPV vaccine-related beliefs and knowledge among adults 18–45 years old. Am J Health Educ. 2021;52(1):30–36. doi: 10.1080/19325037.2020.1844102 [DOI] [Google Scholar]
- 23.Fokom Domgue J, Cunningham SA, Yu RK, Shete S. Reasons for not receiving the HPV vaccine among eligible adults: lack of knowledge and of provider recommendations contribute more than safety and insurance concerns. Cancer Med. 2020;9(14):5281–5290. doi: 10.1002/cam4.3192 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Mascaro V, Pileggi C, Currà A, Bianco A, Pavia M. HPV vaccination coverage and willingness to be vaccinated among 18–30 year-old students in Italy. Vaccine. 2019;37(25):3310–3316. doi: 10.1016/j.vaccine.2019.04.081 [DOI] [PubMed] [Google Scholar]
- 25.Thompson EL, Garg A, Galvin AM, Moore JD, Kasting ML, Wheldon CW. Correlates of HPV vaccination intentions among adults ages 27–45 years old in the US. J Community Health. 2021;46(5):893–902. doi: 10.1007/s10900-021-00968-3 [DOI] [PubMed] [Google Scholar]
- 26.Muthukrishnan M, Loux T, Shacham E, Tiro JA, Arnold LD. Barriers to human papillomavirus (HPV) vaccination among young adults, aged 18–35. Prev Med Rep. 2022;29:101942. doi: 10.1016/j.pmedr.2022.101942 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Arevalo M, Brownstein NC, Whiting J, et al. Strategies and lessons learned during data cleaning of a cross-sectional web-based health behavior survey study conducted among research panel participants. JMIR Form Res. 2022;6(6):e35797. doi: 10.2196/35797 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Brownstein NC, Reddy H, Whiting J, et al. COVID-19 vaccine behaviors and intentions among a national sample of United States adults ages 18–45. Prev Med. 2022;160:107038. doi: 10.1016/j.ypmed.2022.107038 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Turner K, Brownstein NC, Whiting J, et al. Impact of the COVID-19 pandemic on women’s healthcare access: a cross-sectional study. J Wom Health. 2022;31(12):1690–1702. In Press. doi: 10.1089/jwh.2022.0128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Perez S, Tatar O, Ostini R, et al. Extending and validating a human papillomavirus (HPV) knowledge measure in a national sample of Canadian parents of boys. Prev Med. 2016;91:43–49. doi: 10.1016/j.ypmed.2016.07.017 [DOI] [PubMed] [Google Scholar]
- 31.Waller J, Ostini R, Marlow LA, McCaffery K, Zimet G. Validation of a measure of knowledge about human papillomavirus (HPV) using item response theory and classical test theory. Prev Med. 2013;56(1):35–40. doi: 10.1016/j.ypmed.2012.10.028 [DOI] [PubMed] [Google Scholar]
- 32.Gerend MA, Shepherd MA, Shepherd JE. The multidimensional nature of perceived barriers: global versus practical barriers to HPV vaccination. Health Psychol. 2013;32(4):361–369. doi: 10.1037/a0026248 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Champion V, Skinner CS, Menon U. Development of a self-efficacy scale for mammography. Res Nurs Health. 2005;28(4):329–336. doi: 10.1002/nur.20088 [DOI] [PubMed] [Google Scholar]
- 34.Dempsey AF, Fuhrel-Forbis A, Konrath S. Use of the Carolina HPV Immunization Attitudes and Beliefs Scale (CHIAS) in young adult women. PLoS One. 2014;9(6):e100193. doi: 10.1371/journal.pone.0100193 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hunt HR, Gross AM. Prediction of exercise in patients across various stages of bariatric surgery: a comparison of the merits of the theory of reasoned action versus the theory of planned behavior. Behav Modif. 2009;33(6):795–817. doi: 10.1177/0145445509348055 [DOI] [PubMed] [Google Scholar]
- 36.Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System Health Literacy Module. Accessed August 26, 2021. https://www.cdc.gov/brfss/questionnaires/index.htm
- 37.Hughes J, Cates JR, Liddon N, Smith JS, Gottlieb SL, Brewer NT. Disparities in how parents are learning about the human papillomavirus vaccine. Cancer Epidemiol Biomarkers Prev. 2009;18(2):363–372. [DOI] [PubMed] [Google Scholar]
- 38.SAS Software. SAS and all other SAS Institute Inc product or service names are registered trademarks or trademarks of SAS Institute Inc. Version 9.4 for Windows; 2021. [Google Scholar]
- 39.U.S. Dept. of Health and Human Services. Health People 2030: Vaccination. Office of Disease Prevention and Health Promotion. Accessed February 5, 2022. https://health.gov/healthypeople/objectives-and-data/browse-objectives/vaccination [Google Scholar]
- 40.Reiter PL, Bustamante G, McRee A-L. HPV vaccine coverage and acceptability among a national sample of sexual minority women ages 18–45. Vaccine. 2020;38(32):4956–4963. doi: 10.1016/j.vaccine.2020.06.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Attia AC, Wolf J, Núñez AE. On surmounting the barriers to HPV vaccination: we can do better. Ann Med. 2018;50(3):209–225. doi: 10.1080/07853890.2018.1426875 [DOI] [PubMed] [Google Scholar]
- 42.Patel DA, Zochowski M, Peterman S, Dempsey AF, Ernst S, Dalton VK. Human papillomavirus vaccine intent and uptake among female college students. J Am Coll Health. 2012;60(2):151–161. doi: 10.1080/07448481.2011.580028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wiener RC, Findley PA, Shen C, Dwibedi N, Sambamoorthi U. Human papillomavirus (HPV) vaccine utilization among adults (18–29 years), BRFSS 2015. Vaccine. 2020;38(33):5119–5122. doi: 10.1016/j.vaccine.2020.05.056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Ball HL. Conducting online surveys. J Hum Lact. 2019;35(3):413–417. doi: 10.1177/0890334419848734 [DOI] [PubMed] [Google Scholar]
- 45.Turner K, Brownstein NC, Whiting J, et al. Impact of the COVID-19 pandemic on human papillomavirus (HPV) vaccination among a national sample of adults ages 18–45: a cross-sectional study. Prev Med Rep. 2022;31:102067. doi: 10.1016/j.pmedr.2022.102067 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.