Objectives

Routine human papillomavirus (HPV) vaccination has been recommended in the United States since 2006 but rates remain suboptimal. State-based studies suggest that initiation in late childhood at ages 9 to 10 years compared with the recommended early adolescent ages of 11 to 12 years improves series completion. No study with national scope has explored the early initiation-HPV series completion relationship. This study addresses this knowledge gap and explores whether early initiation might improve series completion by increasing time to target completion age (time pathway) or by moving initiation to an earlier developmental stage (development pathway).

Methods

Using data from the National Immunization Survey-Teen 2017-2020, a retrospective cohort of 19 575 15 to 17 year olds who initiated HPV vaccination between ages 9 and 12 years was assembled. Time pathway endpoints were series completion by ages 13 and 15 years. The development pathway endpoint was completion within 3 years of initiation.

Results

Early initiators were more likely to complete by ages 13 (74.0% vs 31.1%, P < .001) and 15 (91.7% vs 82.7%, P < .001) years but less likely to complete within 3 years (82.3% vs 84.9%, P = .007). The association of early initiation to completion was maintained in multivariable analyses for time pathway endpoints (age 13 years adjusted odds ratios [AOR] = 6.16; 95% confidence interval [CI], 5.45–6.96, age 15 years = AOR 2.56; 95% CI, 2.14–3.14) but not the development pathway endpoint (AOR = 0.93; 95% CI, 0.80–1.07).

Conclusions

Moving routine HPV vaccination to ages 9 to 10 may improve vaccination coverage rates in early and mid-adolescence. Providers should be vigilant to patient interactions after HPV series initiation to optimize public health benefits of vaccination.

What’s Known on this Subject:

Although routine HPV immunization has been recommended in the United States since 2006, HPV immunization rates remain suboptimal. State-based studies suggest initiation at ages 9 to 10 years increases HPV vaccination series completion but no study with national scope explores this relationship.

What this Study Adds:

This National Immunization Survey (NIS)-Teen based retrospective cohort study demonstrates that early initiation at ages 9 to 10 years versus 11 to 12 years strongly predicted series completion by ages 13 and 15 years. However, early initiation was not associated with completion within 3 years of initiation.

Human papillomavirus (HPV) is the most common sexually transmitted infection globally and contributes to more than 600 000 new cancer cases and 300 000 deaths annually.1  In the United States, vaccination to prevent HPV infection was approved in 2006 for females and extended to males in 2010. The Advisory Committee on Immunization Practices (ACIP) recommends routine vaccination for 11- to 12-year-old children but also states that vaccination may be initiated as early as age 9 years.2  The American Academy of Pediatrics supports routine HPV vaccination for ages 9 to 12 years and recommends immunization in the 9- to 10-year age group in communications to members.3  Despite endorsement by both the ACIP and American Academy of Pediatrics, HPV immunization series completion rates among young people in the United States have remained stubbornly suboptimal, 58.6% among 13 to 17 year olds in 2020, well below the Healthy People 2020 target of 80%.4  Furthermore, racial, socioeconomic, and geographic disparities in series completion have been documented.46 

Increasing HPV vaccination series completion is a public health priority. Studies from Minnesota and Mississippi have suggested that initiation in early childhood at ages 9 to 10 years leads to higher HPV vaccination series completion rates compared with those who initiate in early adolescence at the recommended ages of 11 to 12 years.7,8  To date, no study with national scope has assessed if earlier initiation is associated with improved HPV vaccination series completion nor explored mechanisms underlying such an association. Moving the age of initiation from ages 11 to 12 years to ages 9 to 10 years involves changes in both time to target age of HPV series completion and the developmental stage at which initiation occurs. Therefore, such a move could have varied impacts and effects. Understanding the pathways through which early initiation functions could help optimize series completion in early and mid-adolescence, when completion before sexual debut is more likely and maximum public health benefits would accrue.

This study addresses these gaps in the literature to assess if earlier initiation of HPV vaccination is associated with higher HPV series completion in early adolescence (by age 13 years) and mid-adolescence (by age 15 years). Furthermore, we explore 2 potential pathways through which earlier age of initiation might impact series completion. The time pathway assesses if initiation at ages 9 to 10 years compared with initiation at ages 11 to 12 years functions simply by increasing the amount of time the young person has between initiation and reaching the ages of 13 and 15 years. In contrast, the development pathway holds time from initiation to completion constant between the early and later initiation groups to explore if initiation of vaccination at ages 9 to 10 years might function by moving initiation from the early adolescent to late childhood developmental stage. We also explore if earlier initiation may modify disparities in HPV vaccination series completion.

This study uses public-use data from the 2017–2020 waves of the NIS-Teen survey. NIS-Teen (https://www.cdc.gov/nchs/nis/data_files_teen.htm) is conducted by the Centers for Disease Control and Prevention and includes noninstitutionalized 13- to 17-year-old subjects from all 50 states and the District of Columbia. Although adolescents from Guam and the US Virgin Islands are included, these data are not available in the public use data files. Furthermore, data from Puerto Rico was not available in 2017 and 2018 because of hurricanes. The public-use data files contain data for all adolescents who have a completed household interview. Inclusion criteria for this study were (1) 15- to 17-year-old subjects in NIS-Teen 2017–2020 living in continental United States, (2) parent/guardian gave permission for NIS-Teen to contact their health care provider, (3) provider-reported HPV immunization history, and (4) provider-reported subject’s age of first HPV vaccine was between 9 and 12 years. Finally, because reasons why children who initiated between the ages of 9 and 12 years had more than the recommended number of HPV vaccinations were not known, the specific dose for series completion could not be determined for those who had 4 to 6 HPV immunizations (N = 340); as such, analyses were further restricted to those whose providers reported the subject received no more than 3 doses of HPV vaccine. There were 19 575 adolescents in NIS-Teen 2017–2020 who met these 5 inclusion criteria to create the study sample.

Figure 1 presents the study design along with key HPV vaccination program milestones. To create a retrospective cohort study from NIS-Teen 2017–2020, an accelerated longitudinal design approach was used. The accelerated longitudinal design uses a subject’s age rather than study year to organize data into birth cohorts. Six birth cohorts (2000–2005) were developed from the 4 NIS-Teen study years to create a retrospective cohort study (See Supplemental Figure 3 and Supplemental Tables 5 and 6 for details).

FIGURE 1

Accelerated longitudinal design using NIS-Teen years 2017–2020 to create a retrospective cohort study and HPV vaccination program timeline.

FIGURE 1

Accelerated longitudinal design using NIS-Teen years 2017–2020 to create a retrospective cohort study and HPV vaccination program timeline.

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Early Initiation

NIS-Teen includes several provider-reported measures of the age of first HPV vaccination (years, months, days). The age of HPV vaccination in years was dichotomized (9–10 years vs 11–12 years) to create the early initiation variable.

Outcome Measures

For all outcome measures, HPV series completion was determined per ACIP-recommended dose schedule. The HPV vaccine was initially approved as a 3-dose series. In 2016, ACIP recommended that those who initiated the vaccine at younger than age 15 years could receive a 2-dose schedule (0, 6–12 months). NIS-Teen includes a variable noting for those who initiated HPV vaccination before age 15 years if a subject had the requisite number of doses per ACIP guidelines and, for those with 2 doses, that there was an interval of at least 5 months, 4 days, between the first and second dose. As described in the following section, this NIS-Teen variable was used to derive the time and developmental pathway outcome variables for this study.

To assess the time pathway, 2 measures of HPV vaccination series completion were used: series completion by age 13 years (early adolescence) and series completion by age 15 years (mid-adolescence). We constructed a variable to denote the age of the last HPV vaccination received based on the total number of HPV vaccines and the age at which the final dose was received. Age at last HPV dose was set to the age of the second HPV vaccination for those who received 2 HPV vaccines and equal to the age at the third HPV vaccination for those who received 3 HPV vaccines. For series completion by ages 13 and 15 years, we constructed binary variables based on the NIS-Teen variable noted previously describing completion per ACIP recommended guidelines and the age of the last HPV vaccine received. Subjects who were up to date per ACIP guidelines and who received their last HPV vaccination before age 13 years were considered up to date by age 13 years. Likewise, subjects who completed before age 15 years were considered up to date by age 15 years.

To assess the development pathway, we constructed a binary variable to denote series completion within 3 years of initiation. The time interval between first and last HPV vaccination was calculated. Subjects were considered complete within 3 years if this interval was less than 3 years and the subject was complete per ACIP guidelines.

Covariates

Demographic, geographic, and provider covariates and their response categories from NIS-Teen included sex (female, male), race/ethnicity (non-Hispanic white, non-Hispanic Black, Hispanic, other, including other non-Hispanic race + multiple races), insurance status (private only, any Medicaid, other, uninsured), maternal education (less than 12 years, 12 years, greater than 12 year but less than college, college), Census region of residence (Northeast, Midwest, South, West), and type of facility where all of the subject’s providers practiced (all private = private, all public = public, all hospital = hospital, all providers from a Special Supplemental Nutrition Program for Women, Infants, and Children clinic, school-based health center, pharmacy, military health care or other facility = school/other, and mixed/unknown). The NIS-Teen variable for income to poverty ratio was dichotomized at 1.5 to represent living in poverty (income to poverty ratio less than 150% or at least 150%). To assess urbanicity/rurality, 2010 US Census data were used.9  The US Census defines an urbanized area as one with at least 50 000 people and a rural area as one with less than 2500 people. Data on the percent of the population living in urban and rural areas by state (and the District of Columbia) is available from the US Census (https://www.census.gov/programs-surveys/geography/guidance/geo-areas/urban-rural/2010-urban-rural.html; accessed March 16, 2022). The distribution of percent of the population living in an urban area was explored and the cut point representing the top quintile determined. States with the percent of their population living in an urban area above the cut point (N = 10) were categorized as “urban.” Similarly, distribution of percent of the population living in a rural area was explored and the cut point representing the top quintile determined. States with the percent of their population living in a rural area above that cut point (N = 9) were categorized as “rural.” The state-based categorization of urban and rural were merged into the NIS-Teen data by matching to the state variable within NIS-Teen, which also includes the District of Columbia.

Analyses were conducted using SPSS version 26. Sample weights were used only in regression analyses because this study is looking at correlates of completion rather than estimating vaccination coverage across years in the NIS sample, uses a select subset of NIS-Teen participants, and has created a retrospective cohort from multiple years of NIS-Teen data to take advantage of the provider-reported dates of vaccination. Descriptive statistics for the HPV measures and covariates were provided first. Next, bivariate contingency table analyses using Pearson χ2 tests were performed to explore the associations between demographic, geographic, and provider variables and early initiation. An a priori level of significance of α < 0.05 was set that, with Bonferroni adjustment led to P < .0125 to establish statistical significance. To determine if earlier age of initiation was an independent correlate of series completion, blocked stepwise logistic regression based on the literature and on bivariate analyses was performed. In step 0, a univariate model with just early initiation was run to determine the unadjusted odds ratio (OR) and 95% confidence intervals (CIs). Next, in step 1, a model without early initiation but including demographic, geographic, and provider covariates was run. Finally, early initiation was entered into the fully adjusted model to assess if early initiation was independently associated with time and development pathway outcomes and explore if early initiation influenced any disparities demonstrated in step 1. Adjusted ORs and 95% CIs are reported from both unweighted and weighted regression analyses.

To test the time pathway, this series of models was run separately for completion by age 13-year and completion by age 15-year outcomes. To test the development pathway, this series of models was run for the complete within 3-year outcome variables.

Table 1 describes the study population. More than one-half of these 19 575 adolescents were female (52.1%), non-Hispanic white (57.1%), or had private insurance only (57.3%). Early initiation was uncommon (7.5%). There was a more than twofold rise in series completion between the ages of 13 (34.5%) and 15 (83.4%) years. The majority (84.8%) were complete within 3 years.

TABLE 1

Description of the Population (N = 19 575)

TotalFemaleMale
N%N%N%
Sexa       
 Male 9377 47.9 – – 9377 100 
 Female 10 198 52.1 10 198 100 – – 
Birth cohortb      
 2000 1071 5.5 666 6.5 405 4.3 
 2001 2787 14.2 1550 15.2 1237 13.2 
 2002 4580 23.4 2327 22.8 2253 24.0 
 2003 4958 25.3 2595 25.4 2363 25.2 
 2004 3932 20.1 1942 19.0 1990 21.2 
 2005 2247 11.5 1118 11.0 1129 12.0 
Race/ethnicitya       
 Non-Hispanic white 11 226 57.3 5858 57.4 5368 57.2 
 Non-Hispanic Black 1755 9.0 900 8.8 855 9.1 
 Hispanic 4318 22.1 2196 21.5 2122 22.6 
 Otherc 2276 11.6 1244 12.2 1032 11.0 
Census regiona       
 Northeast 3771 19.3 1941 19.0 1830 19.5 
 Midwest 4334 22.1 2233 21.9 2101 22.4 
 South 6980 35.7 3665 35.9 3315 35.4 
 West 4490 22.9 2359 23.1 2131 22.7 
Insurancea       
 Private only 10 658 54.6 5657 55.5 5028 53.6 
 Any Medicaid 6652 34.0 3362 33.0 3290 35.1 
 Other 1557 8.0 829 8.1 728 7.8 
 Uninsured 681 3.5 350 3.4 331 3.5 
Maternal educationa      
 Less than 12 y 2510 12.8 1279 12.5 1231 13.1 
 12 y 3089 15.8 1601 15.7 1488 15.9 
 Some college 4913 25.1 2574 25.2 2339 24.9 
 College degree or higher 9063 46.3 4744 46.5 4319 46.1 
Povertyd       
 Income/poverty ratio <150% 5747 29.4 2915 28.6 2832 30.2 
 Income/poverty ratio ≥150% 13 828 70.6 7283 71.4 6545 69.8 
Rurale       
 Living in a top quintile rural state 3191 16.3 1651 16.2 1540 16.4 
 Not living in top quintile rural state 16 384 83.7 8547 83.8 7837 83.6 
Urbanf       
 Living in top quintile urban state 3296 16.8 1726 16.9 1570 16.7 
 Not living in top quintile urban state 16 279 83.2 8472 83.1 7807 83.3 
Facilitya       
 All private 8689 44.4 4554 44.7 4135 44.4 
 All public 2631 13.4 1322 13.0 1309 14.0 
 All hospital 2563 13.1 1344 13.2 1219 13.0 
 School/other 434 2.2 222 2.2 212 2.2 
 Mixed/unknown 5436 26.9 2856 27.0 2502 26.7 
Age of initiation, yg       
 9–10 1460 7.5 909 8.9 551 5.9 
 11–12 18 115 92.5 9289 91.1 8826 94.1 
Series completion outcomes       
 Time pathway       
  Complete by age 13 y 6749 34.5 3709 36.4 3040 32.4 
  Complete by age 15 y 16 320 83.4 8588 84.2 7732 82.5 
 Development pathway     
  Complete in 3 y 16 590 84.8 8679 85.1 7911 84.4 
TotalFemaleMale
N%N%N%
Sexa       
 Male 9377 47.9 – – 9377 100 
 Female 10 198 52.1 10 198 100 – – 
Birth cohortb      
 2000 1071 5.5 666 6.5 405 4.3 
 2001 2787 14.2 1550 15.2 1237 13.2 
 2002 4580 23.4 2327 22.8 2253 24.0 
 2003 4958 25.3 2595 25.4 2363 25.2 
 2004 3932 20.1 1942 19.0 1990 21.2 
 2005 2247 11.5 1118 11.0 1129 12.0 
Race/ethnicitya       
 Non-Hispanic white 11 226 57.3 5858 57.4 5368 57.2 
 Non-Hispanic Black 1755 9.0 900 8.8 855 9.1 
 Hispanic 4318 22.1 2196 21.5 2122 22.6 
 Otherc 2276 11.6 1244 12.2 1032 11.0 
Census regiona       
 Northeast 3771 19.3 1941 19.0 1830 19.5 
 Midwest 4334 22.1 2233 21.9 2101 22.4 
 South 6980 35.7 3665 35.9 3315 35.4 
 West 4490 22.9 2359 23.1 2131 22.7 
Insurancea       
 Private only 10 658 54.6 5657 55.5 5028 53.6 
 Any Medicaid 6652 34.0 3362 33.0 3290 35.1 
 Other 1557 8.0 829 8.1 728 7.8 
 Uninsured 681 3.5 350 3.4 331 3.5 
Maternal educationa      
 Less than 12 y 2510 12.8 1279 12.5 1231 13.1 
 12 y 3089 15.8 1601 15.7 1488 15.9 
 Some college 4913 25.1 2574 25.2 2339 24.9 
 College degree or higher 9063 46.3 4744 46.5 4319 46.1 
Povertyd       
 Income/poverty ratio <150% 5747 29.4 2915 28.6 2832 30.2 
 Income/poverty ratio ≥150% 13 828 70.6 7283 71.4 6545 69.8 
Rurale       
 Living in a top quintile rural state 3191 16.3 1651 16.2 1540 16.4 
 Not living in top quintile rural state 16 384 83.7 8547 83.8 7837 83.6 
Urbanf       
 Living in top quintile urban state 3296 16.8 1726 16.9 1570 16.7 
 Not living in top quintile urban state 16 279 83.2 8472 83.1 7807 83.3 
Facilitya       
 All private 8689 44.4 4554 44.7 4135 44.4 
 All public 2631 13.4 1322 13.0 1309 14.0 
 All hospital 2563 13.1 1344 13.2 1219 13.0 
 School/other 434 2.2 222 2.2 212 2.2 
 Mixed/unknown 5436 26.9 2856 27.0 2502 26.7 
Age of initiation, yg       
 9–10 1460 7.5 909 8.9 551 5.9 
 11–12 18 115 92.5 9289 91.1 8826 94.1 
Series completion outcomes       
 Time pathway       
  Complete by age 13 y 6749 34.5 3709 36.4 3040 32.4 
  Complete by age 15 y 16 320 83.4 8588 84.2 7732 82.5 
 Development pathway     
  Complete in 3 y 16 590 84.8 8679 85.1 7911 84.4 
a

Variable definition and categorization from NIS-Teen.

b

Based on age at time of interview and year of data collection. Details found in Supplemental Tables 5 and 6.

c

Other = other non-Hispanic race + multiple races. This category does not provide further specification in the NIS-Teen codebooks.

d

Income to poverty ratio from NIS-Teen dichotomized at 1.5.

e

Top quintile rural state based on the percent of the population living in a rural area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

f

Top quintile urban state based on the percent of the population living in an urban area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

g

Based on provider reported age of first HPV vaccination in years.

Table 2 shows correlates of early initiation. All factors except living in a state with a high proportion living in an urban area were significantly associated with early initiation. Females were 1.5 times more likely to initiate at 9 to 10 years compared with males (8.9% vs 5.9%). Early initiation was also higher among socially disadvantaged populations, whether defined by race/ethnicity, socioeconomic status, or insurance. Geography was associated with early initiation: living in the South was associated with greater likelihood of early initiation, whereas living in a state with a high proportion living in a rural area decreased likelihood of early initiation. Early initiation was more common among those whose providers all practiced at public facilities or at school/other facilities compared with all hospitals, all private, or mixed/unknown facilities.

TABLE 2

Demographic, Geographic, and Provider Correlates of Early Initiation

TotalInitiated 9-10 yInitiated 11-12 y
NN%N%Sig.a
Sexb      <.001 
 Female 10 198 909 8.9 9289 91.1  
 Male 9377 551 5.9 8826 94.1  
Birth cohortc      <.001 
 2000 1071 87 8.1 984 91.9  
 2001 2787 231 8.3 2556 91.7  
 2002 4580 375 8.2 4205 91.8  
 2003 4958 369 7.4 4589 92.6  
 2004 3932 275 7.0 3657 93.0  
 2005 2247 123 5.5 2124 94.5  
Race/ethnicityb      <.001 
 Non-Hispanic white 11 226 634 5.6 10 592 94.4  
 Non-Hispanic Black 1755 180 10.3 1575 89.7  
 Hispanic 4318 500 11.6 3818 88.4  
 Otherd 2276 146 6.4 2130 93.6  
Census regionb      <.001 
 Northeast 3771 220 5.8 3551 94.2  
 Midwest 4334 299 6.9 4035 93.1  
 South 6980 615 8.8 6365 91.2  
 West 4490 326 7.5 4164 92.7  
Insuranceb      <.001 
 Private only 10 658 576 5.4 10 109 94.6  
 Any Medicaid 6652 684 10.3 5968 89.7  
 Other 1557 136 8.7 1421 91.3  
 Uninsured 681 64 9.4 617 90.6  
Maternal educationb      <.001 
 Less than 12 y 2510 306 12.2 2204 87.8  
 12 y 3089 307 9.9 2782 90.1  
 Some college 4913 366 7.4 4547 92.6  
 College degree or higher 9063 481 5.3 8582 94.7  
Povertye      <.001 
 Income/poverty ratio <150% 5747 655 11.4 5092 88.6  
 Income/poverty ratio >150% 13 828 805 5.8 13 023 94.2  
Ruralf      .010 
 Living in a top quintile rural state 3191 203 6.4 2988 93.6  
 Not living in top quintile rural state 16 384 1257 7.7 15 127 93.2  
Urbang      NSh 
 Living in top quintile urban state 3296 245 7.4 3051 92.6  
 Not living in top quintile urban state 16 279 1215 7.5 15 064 92.5  
Facilityb      <.001 
 All private 8689 602 6.9 8087 93.1  
 All public 2631 245 9.3 2386 90.7  
 All hospital 2563 174 6.8 2389 93.2  
 School/other 434 49 11.3 385 88.7  
 Mixed/unknown 5436 390 7.4 4868 92.6  
TotalInitiated 9-10 yInitiated 11-12 y
NN%N%Sig.a
Sexb      <.001 
 Female 10 198 909 8.9 9289 91.1  
 Male 9377 551 5.9 8826 94.1  
Birth cohortc      <.001 
 2000 1071 87 8.1 984 91.9  
 2001 2787 231 8.3 2556 91.7  
 2002 4580 375 8.2 4205 91.8  
 2003 4958 369 7.4 4589 92.6  
 2004 3932 275 7.0 3657 93.0  
 2005 2247 123 5.5 2124 94.5  
Race/ethnicityb      <.001 
 Non-Hispanic white 11 226 634 5.6 10 592 94.4  
 Non-Hispanic Black 1755 180 10.3 1575 89.7  
 Hispanic 4318 500 11.6 3818 88.4  
 Otherd 2276 146 6.4 2130 93.6  
Census regionb      <.001 
 Northeast 3771 220 5.8 3551 94.2  
 Midwest 4334 299 6.9 4035 93.1  
 South 6980 615 8.8 6365 91.2  
 West 4490 326 7.5 4164 92.7  
Insuranceb      <.001 
 Private only 10 658 576 5.4 10 109 94.6  
 Any Medicaid 6652 684 10.3 5968 89.7  
 Other 1557 136 8.7 1421 91.3  
 Uninsured 681 64 9.4 617 90.6  
Maternal educationb      <.001 
 Less than 12 y 2510 306 12.2 2204 87.8  
 12 y 3089 307 9.9 2782 90.1  
 Some college 4913 366 7.4 4547 92.6  
 College degree or higher 9063 481 5.3 8582 94.7  
Povertye      <.001 
 Income/poverty ratio <150% 5747 655 11.4 5092 88.6  
 Income/poverty ratio >150% 13 828 805 5.8 13 023 94.2  
Ruralf      .010 
 Living in a top quintile rural state 3191 203 6.4 2988 93.6  
 Not living in top quintile rural state 16 384 1257 7.7 15 127 93.2  
Urbang      NSh 
 Living in top quintile urban state 3296 245 7.4 3051 92.6  
 Not living in top quintile urban state 16 279 1215 7.5 15 064 92.5  
Facilityb      <.001 
 All private 8689 602 6.9 8087 93.1  
 All public 2631 245 9.3 2386 90.7  
 All hospital 2563 174 6.8 2389 93.2  
 School/other 434 49 11.3 385 88.7  
 Mixed/unknown 5436 390 7.4 4868 92.6  

NS, not significant.

a

Significance based on Pearson χ2 tests with statistical significance level set at P < .0125.

b

Variable definition and categorization from NIS-Teen.

c

Based on age at time of interview and year of data collection. Details found in Supplemental Tables 5 and 6.

d

Other = other non-Hispanic race + multiple races. This category does not provide further specification in the NIS-Teen codebooks.

e

Income to poverty ratio from NIS-Teen dichotomized at 1.5.

f

Top quintile rural state based on the percent of the population living in a rural area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

g

Top quintile urban state based on the percent of the population living in an urban area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

Table 3 shows demographic, geographic, and provider variables associated with the 3 measures of HPV vaccine series completion. Females were more likely to complete HPV vaccination by ages 13 and 15 years, but, although statistically significant, the magnitude of the differences were small. Completion within 3 years did not differ by sex. Table 3 reveals multiple disparities in series completion. Differences by Census region were found across the 3 outcomes, with the highest proportion completed in the Northeast for both time and the developmental pathway outcomes. Several markers of social disadvantage were also associated with lower likelihood of completion for all 3 outcome measures: non-Hispanic Black race/ethnicity, being uninsured, and having providers who all practiced in a public facility. However, lower maternal education was associated with increased likelihood of being up to date at age 13 years but decreased likelihood of being up to date at age 15 years or complete within 3 years compared with their peers with higher maternal education. Living in poverty was not associated with completion by age 13 years but was associated with the other 2 outcome measures. Although statistically significant, in each case, the magnitude of the disparities was small.

TABLE 3

Demographic, Geographic, and Provider Correlates of Different Measures of HPV Series Completion

Time PathwayDevelopment Pathway
Complete by Age 13 yComplete by Age 15 yComplete Within 3 y
N%SigN%SigN%Siga
Sexb   <.001   <.001   NS 
 Female 3709 36.4  8588 84.2  8679 85.1  
 Male 3040 32.4  7732 82.5  7911 84.4  
Birth cohortc   <.001   <.001   <.001 
 2000 283 41.2  815 76.1  867 81.0  
 2001 1766 40.5  2149 77.1  2275 81.6  
 2002 1368 41.2  3714 81.1  3801 83.0  
 2003 1606 41.7  4258 85.9  4263 86.0  
 2004 1578 40.8  3393 86.3  3399 86.4  
 2005 1148 51.1  1991 88.6  1985 88.3  
Race/ethnicityb   <.001   <.001   <.001 
 Non-Hispanic white 3715 33.1  9456 84.2  9638 85.9  
 Non-Hispanic Black 559 31.9  1421 81.0  1443 82.2  
 Hispanic 1677 38.8  3517 81.4  3549 82.2  
 Otherd 798 35.1  1926 84.6  1960 86.1  
Census regionb   .003   <.001   <.001 
 Northeast 1279 33.9  3404 90.3  3486 92.4  
 Midwest 1459 33.7  3651 84.2  3726 86.0  
 South 2524 36.2  5620 80.5  5681 81.4  
 West 1487 33.1  3645 81.2  3697 82.3  
Insuranceb   <.001   <.001   <.001 
 Private only 3579 33.5  9115 85.3  9311 87.1  
 Any Medicaid 2417 36.3  5464 82.1  5503 82.7  
 Other 547 35.1  1257 80.7  1282 82.3  
 Uninsured 206 30.2  484 71.1  494 72.5  
Maternal educationb   <.001   <.001   <.001 
 Less than 12 y 980 39.0  2031 80.9  2044 81.4  
 12 y 1108 35.9  2505 81.1  2516 81.5  
 Some college 1590 32.4  3955 80.5  4012 81.7  
 College degree or higher 3071 33.9  7829 86.4  8018 88.5  
Povertye   NS   <.001   <.001 
 Income/poverty ratio <150% 2053 35.7  4625 80.5  4668 81.2  
 Income/poverty ratio ≥150% 4696 34.0  11 695 84.6  11 922 86.2  
Ruralf   NS   <.001   .012 
 Living in a top quintile rural state 1091 34.2  2596 81.4  2633 82.5  
 Not living in top quintile rural state 5658 34.5  13 724 83.8  13 957 85.2  
Urbang  <.001   NSh   .004 
 Living in top quintile urban state 1047 31.8  2782 84.4  2847 86.4  
 Not living in top quintile urban state 5702 35.0  13 538 83.2  13 743 84.4  
Facilityb   .042   <.001   <.001 
 All private 3042 35.0  7448 85.7  7586 87.3  
 All public 839 31.9  2015 76.6  2022 76.9  
 All hospital 885 34.5  2221 86.7  2267 88.5  
 School/other 159 36.6  341 78.6  347 80.0  
 Mixed/unknown 1824 34.7  4295 81.7  4368 83.1  
Time PathwayDevelopment Pathway
Complete by Age 13 yComplete by Age 15 yComplete Within 3 y
N%SigN%SigN%Siga
Sexb   <.001   <.001   NS 
 Female 3709 36.4  8588 84.2  8679 85.1  
 Male 3040 32.4  7732 82.5  7911 84.4  
Birth cohortc   <.001   <.001   <.001 
 2000 283 41.2  815 76.1  867 81.0  
 2001 1766 40.5  2149 77.1  2275 81.6  
 2002 1368 41.2  3714 81.1  3801 83.0  
 2003 1606 41.7  4258 85.9  4263 86.0  
 2004 1578 40.8  3393 86.3  3399 86.4  
 2005 1148 51.1  1991 88.6  1985 88.3  
Race/ethnicityb   <.001   <.001   <.001 
 Non-Hispanic white 3715 33.1  9456 84.2  9638 85.9  
 Non-Hispanic Black 559 31.9  1421 81.0  1443 82.2  
 Hispanic 1677 38.8  3517 81.4  3549 82.2  
 Otherd 798 35.1  1926 84.6  1960 86.1  
Census regionb   .003   <.001   <.001 
 Northeast 1279 33.9  3404 90.3  3486 92.4  
 Midwest 1459 33.7  3651 84.2  3726 86.0  
 South 2524 36.2  5620 80.5  5681 81.4  
 West 1487 33.1  3645 81.2  3697 82.3  
Insuranceb   <.001   <.001   <.001 
 Private only 3579 33.5  9115 85.3  9311 87.1  
 Any Medicaid 2417 36.3  5464 82.1  5503 82.7  
 Other 547 35.1  1257 80.7  1282 82.3  
 Uninsured 206 30.2  484 71.1  494 72.5  
Maternal educationb   <.001   <.001   <.001 
 Less than 12 y 980 39.0  2031 80.9  2044 81.4  
 12 y 1108 35.9  2505 81.1  2516 81.5  
 Some college 1590 32.4  3955 80.5  4012 81.7  
 College degree or higher 3071 33.9  7829 86.4  8018 88.5  
Povertye   NS   <.001   <.001 
 Income/poverty ratio <150% 2053 35.7  4625 80.5  4668 81.2  
 Income/poverty ratio ≥150% 4696 34.0  11 695 84.6  11 922 86.2  
Ruralf   NS   <.001   .012 
 Living in a top quintile rural state 1091 34.2  2596 81.4  2633 82.5  
 Not living in top quintile rural state 5658 34.5  13 724 83.8  13 957 85.2  
Urbang  <.001   NSh   .004 
 Living in top quintile urban state 1047 31.8  2782 84.4  2847 86.4  
 Not living in top quintile urban state 5702 35.0  13 538 83.2  13 743 84.4  
Facilityb   .042   <.001   <.001 
 All private 3042 35.0  7448 85.7  7586 87.3  
 All public 839 31.9  2015 76.6  2022 76.9  
 All hospital 885 34.5  2221 86.7  2267 88.5  
 School/other 159 36.6  341 78.6  347 80.0  
 Mixed/unknown 1824 34.7  4295 81.7  4368 83.1  

NS, not significant.

a

Significance based on Pearson χ2 tests with statistical significance level set at P < .0125.

b

Variable definition and categorization from NIS-Teen.

c

Based on age at time of interview and year of data collection. Details found in Supplemental Tables 5 and 6.

d

Other = other non-Hispanic race + multiple races. This category does not provide further specification in the NIS-Teen codebooks.

e

Income to poverty ratio from NIS-Teen dichotomized at 1.5.

f

Top quintile rural state based on the percent of the population living in a rural area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

g

Top quintile urban state based on the percent of the population living in an urban area from 2010 Census data with top quintile based on distribution across all 50 states and the District of Columbia.

Bivariate analyses suggested that early initiation worked through both the time and development pathways, but in the opposite direction (Fig 2). For the time pathway, early initiators were 2.4 times more likely to complete the series by age 13 years compared with those who initiated HPV vaccination at 11 to 12 years (74.0% vs 31.3%; P < .001). This difference was maintained at age 15 years, although decreased in magnitude to a 1.1-fold difference (91.7% vs 84.9%; P < .001). In contrast, looking at the development pathway, early initiation was associated with a slightly lower likelihood of completion within 3 years (82.3% vs 84.9%; P = .007).

FIGURE 2

Bivariate analyses of early initiation and HPV series completion time and development pathway outcomes.

FIGURE 2

Bivariate analyses of early initiation and HPV series completion time and development pathway outcomes.

Close modal

Multivariable logistic regression modeling demonstrated that the association of early initiation was independent of other correlates of series completion for time pathway outcomes (Table 4). However, early initiation was not an independent predictor for the development pathway outcome in unweighted analyses and had a negligible association in weighted analyses. Furthermore, logistic regression modeling did not suggest that early initiation altered sociodemographic, geographic, or provider-based disparities in series completion (see Supplemental Table 7 for details).

TABLE 4

Multivariable Modeling of the Association of Early Initiation to Time and Development Pathway Measures of HPV Series Completion

Univariate ModelMultivariable Model
Measure of Series CompletionEarly Initiation Unadjusted OR95% CIsEarly Initiation Adjusted OR95% CIs
Unweighted analyses    
 Time pathway     
  Complete by age 13 y 6.24 5.53–7.04 6.68 5.90–7.56 
  Complete by age 15 y 2.32 1.91–2.80 2.66 2.20–3.23 
 Development pathway     
  Complete within 3 y 0.83 0.72–0.95 0.94 0.81–1.08 
Weighted analyses 
 Time pathway     
  Complete by age 13 y 6.92 6.90–6.95 7.68 7.65–7.71 
  Complete by age 15 y 2.37 2.36–2.38 2.65 2.64–2.67 
 Development pathway     
  Complete within 3 y 0.94 0.93–0.94 1.02 1.018–1.027 
Univariate ModelMultivariable Model
Measure of Series CompletionEarly Initiation Unadjusted OR95% CIsEarly Initiation Adjusted OR95% CIs
Unweighted analyses    
 Time pathway     
  Complete by age 13 y 6.24 5.53–7.04 6.68 5.90–7.56 
  Complete by age 15 y 2.32 1.91–2.80 2.66 2.20–3.23 
 Development pathway     
  Complete within 3 y 0.83 0.72–0.95 0.94 0.81–1.08 
Weighted analyses 
 Time pathway     
  Complete by age 13 y 6.92 6.90–6.95 7.68 7.65–7.71 
  Complete by age 15 y 2.37 2.36–2.38 2.65 2.64–2.67 
 Development pathway     
  Complete within 3 y 0.94 0.93–0.94 1.02 1.018–1.027 

Note: Multivariable models adjust for sex (female = ref), birth cohort (2000 = ref), race/ethnicity (non-Hispanic white = ref), Census region (Northeast = ref), insurance status (private = ref), maternal education (college = ref), rural (nonrural = ref), urban (nonurban = ref), facility (private = ref), poverty (income/poverty ratio at least 150% = ref). See supplementary file 2 for details.

This retrospective study, which takes advantage of provider reported vaccination data in NIS-Teen, assessed HPV series completion in early and mid-adolescence among 15 to 17 year olds spanning 6 birth cohorts and explored pathways by which early initiation might influence completion. We demonstrated that early initiation was a strong predictor of completion at both ages 13 and 15 years but that 9- to 10-year-old initiators were no more likely to complete vaccination within 3 years than their counterparts who initiated vaccination at ages 11 to 12 years. These findings suggest that, by increasing the available time between initiation and target completion age, early initiation gives providers more touch points and therefore more opportunities to complete the series. The idea that early initiation could increase completion because the vaccine was given at an earlier developmental period was not supported, nor do our findings suggest that early initiation alters disparities in HPV series completion.

HPV immunization is most effective if given before sexual debut. In the United States, since the late 1990s, sexual activity rates have been relatively constant: 7% report sexual debut by age 13, and 30% of females and 34% of males are sexually active by age 16 years.10  Given the more than fourfold rise in initiation of sexual activity between ages 13 and 16 years, improving HPV series completion by the younger age of 13 years would have important public health benefits. Our findings indicate that moving routine HPV vaccination from age 11 to 12 years, the current ACIP recommended age, to age 9 to 10 years would improve coverage by age 13 years, thereby providing greater population-level protection from HPV-related disease.

Early initiation was uncommon and the reasons underlying early initiation in the 7.5% who did initiate at ages 9 to 10 years are unknown. However, our findings that early initiation was more common in females, non-Hispanic Black and Hispanic populations, and lower socioeconomic status teens may provide clues as to 1 potential factor underlying why these children initiated HPV vaccination before the current ACIP recommended ages. These factors are all associated with earlier entry into puberty. Girls enter into puberty about 1.5 years earlier than boys and markers of social disadvantage have been linked to pubertal timing.11  At age 9 years, 62.6% of non-Hispanic Blacks have breast and pubic hair development at Tanner stage 2 compared with 32.1% of non-Hispanic whites for breast development and 20.0% for pubic hair.12  Median age of menarche, which occurs late in puberty, is also earlier in non-Hispanic Black (12.06) and Hispanic (12.25) girls compared with non-Hispanic white girls (12.55).13  Socioeconomic disadvantage has increased the rate of early puberty fourfold in boys and twofold in girls.11  Providers may have recommended early HPV vaccination for early maturing patients, especially because early puberty is associated with increased sexual risk behaviors.14  Provider concern of the higher rates of cervical cancer among non-Hispanic Black and Hispanic women and practice patterns are other potential provider-related factors that may have led to the recommendation to initiate HPV vaccination at ages 9 to 10 years. Parental factors such as parental health seeking behaviors and attitudes toward vaccines in general and HPV-related knowledge could also influence early initiation. Further research is needed to assess this hypothesis and to understand both provider and parental reasons for early initiation.

Most adolescents in this study received a 3-dose series of HPV vaccine for completion. In late 2016, ACIP changed the dose recommendation from 3 to 2 for those who initiate vaccination before age 15 years.15  The impact of the change in recommended doses on vaccination coverage rates remains to be determined, but it is expected that fewer required doses would improve completion. In this retrospective study, we explore if early initiation affected series completion and found that early initiation was associated with increased completion at both ages 13 and 15 years. Further research will need to confirm our findings, particularly in this era of a 2-dose recommendation. Future research will also be needed to understand the acceptability and impact of moving the active recommendation for initiation of HPV vaccination to ages 9 to 10 years.

This study has several limitations. We assigned birth cohorts based on age at interview and survey year because date of birth was not available in the public-use data. This likely led to some misclassification of the birth cohort variable in that an individual interviewed before his or her birthday in any calendar year would be assigned to a 1-year younger birth cohort. However, any misclassification is distributed across all birth cohorts. Because this variable is used only as a marker for time in the study, such misclassification is likely to have minimal impact. Indeed, findings did not change in multivariable logistic regression analyses run without the birth cohort variable. As noted, reasons for offering early initiation and whether initiation was requested by the parent or recommended by the provider are unknown. Although national in scope, this study should not be considered nationally representative. Provider report of vaccination status relied on parental consent to contact providers and that those providers respond to the NIS-Teen questionnaire, both of which could introduce bias. Furthermore, this convenience sample constructed with only a subset of NIS-Teen subjects with adequate provider data through use of an accelerated longitudinal design, was not consistent with use of NIS-Teen sample weights throughout. Our urban/rural measure, although derived from Census data, was state-based and therefore not specific to area of residence. Balancing these limitations are the study’s significant strengths: the creative design, use of provider-reported HPV vaccination, careful attention to dose requirement, and novel exploration of the time and development pathways.

In conclusion, this study provides evidence that moving routine HPV vaccination from ages 11 to 12 years to ages 9 to 10 years may improve vaccination coverage rates in early and mid-adolescence, thereby increasing the public health benefit of vaccination. Providers should be vigilant to patient interactions after initiation of HPV vaccination to ensure series completion within the recommended time frame. Future research on acceptability of and barriers to routine vaccination at ages 9 to 10 years could promote uptake and completion before sexual debut, thereby maximizing HPV vaccine effectiveness.

Dr Goodman conceptualized the study, provided guidance on design and development of the analytic cohort, carried out the analyses, reviewed and interpreted results, drafted the initial manuscript, and reviewed and revised the manuscript. Dr Wang developed the analytic data set and constructed the birth cohorts from the NIS-Teen public use files, reviewed and interpreted results, and reviewed and revised the manuscript. Drs Felsher, Yao, and Chen provided guidance on conceptualization and analytic strategy, reviewed and interpreted results, and reviewed and revised the manuscript. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: Funding in the form of salary support for authors was provided by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co, Inc, Rahway, NJ. Beyond the salary support, the funder/sponsor did not participate in the work.

CONFLICT OF INTEREST DISCLOSURES: The authors are employees of Merck Sharp & Dohme LLC, a subsidiary of Merck & Co, Inc, Rahway, NJ, and may hold stock in Merck & Co, Inc.

ACIP

Advisory Committee on Immunization Practices

CI

confidence interval

HPV

human papillomavirus

NIS

national immunization surveys

OR

odds ratio

1
Sung
H
,
Ferlay
J
,
Siegel
RL
, et al
.
Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
.
CA Cancer J Clin
.
2021
;
71
(
3
):
209
249
2
Petrosky
E
,
Bocchini
JA
Jr
,
Hariri
S
, et al;
Centers for Disease Control and Prevention (CDC)
.
Use of 9-valent human papillomavirus (HPV) vaccine: updated HPV vaccination recommendations of the advisory committee on immunization practices
.
MMWR Morb Mortal Wkly Rep
.
2015
;
64
(
11
):
300
304
3
O’Leary
ST
,
Nyquist
A
.
Why AAP recommends initiating HPV vaccination as early as age 9
.
4
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
5
Henry
KA
,
Swiecki-Sikora
AL
,
Stroup
AM
,
Warner
EL
,
Kepka
D
.
Area-based socioeconomic factors and Human Papillomavirus (HPV) vaccination among teen boys in the United States
.
BMC Public Health
.
2017
;
18
(
1
):
19
6
Swiecki-Sikora
AL
,
Henry
KA
,
Kepka
D
.
HPV vaccination coverage among US teens across the rural-urban continuum
.
J Rural Health
.
2019
;
35
(
4
):
506
517
7
St Sauver
JL
,
Rutten
LJF
,
Ebbert
JO
,
Jacobson
DJ
,
McGree
ME
,
Jacobson
RM
.
Younger age at initiation of the human papillomavirus (HPV) vaccination series is associated with higher rates of on-time completion
.
Prev Med
.
2016
;
89
:
327
333
8
Inguva
S
,
Barnard
M
,
Ward
LM
, et al
.
Factors influencing human papillomavirus (HPV) vaccination series completion in Mississippi Medicaid
.
Vaccine
.
2020
;
38
(
8
):
2051
2057
9
US Census
.
2010 Census urban and rural classification and urban area criteria
.
10
Cavazos-Rehg
PA
,
Krauss
MJ
,
Spitznagel
EL
, et al
.
Age of sexual debut among US adolescents
.
Contraception
.
2009
;
80
(
2
):
158
162
11
Sun
Y
,
Mensah
FK
,
Azzopardi
P
,
Patton
GC
,
Wake
M
.
Childhood social disadvantage and pubertal timing: a national birth cohort from Australia
.
Pediatrics
.
2017
;
139
(
6
):
e20164099
12
Herman-Giddens
ME
,
Slora
EJ
,
Wasserman
RC
, et al
.
Secondary sexual characteristics and menses in young girls seen in office practice: a study from the Pediatric Research in Office Settings network
.
Pediatrics
.
1997
;
99
(
4
):
505
512
13
Chumlea
WC
,
Schubert
CM
,
Roche
AF
, et al
.
Age at menarche and racial comparisons in US girls
.
Pediatrics
.
2003
;
111
(
1
):
110
113
14
Hoyt
LT
,
Niu
L
,
Pachucki
MC
,
Chaku
N
.
Timing of puberty in boys and girls: implications for population health
.
SSM Popul Health
.
2020
;
10
:
100549
15
Meites
E
,
Kempe
A
,
Markowitz
LE
.
Use of a 2-dose schedule for human papillomavirus vaccination - updated recommendations of the Advisory Committee on Immunization Practices
.
MMWR Morb Mortal Wkly Rep
.
2016
;
65
(
49
):
1405
1408
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Supplementary data