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. 2019 Jan 28;16(4):433–449. doi: 10.1111/jjns.12252

Safety concerns with human papilloma virus immunization in Japan: Analysis and evaluation of Nagoya City's surveillance data for adverse events

Yukari Yaju 1,, Hiroe Tsubaki 2
PMCID: PMC6850646  PMID: 30693675

Abstract

Aim

To assess the safety of human papilloma virus (HPV) vaccines by using data from the “Nagoya City Cervical Cancer Immunization Program Survey”.

Methods

Unadjusted odds ratios (OR) were calculated between HPV‐vaccinated cases and un‐vaccinated controls. Age‐stratified analyses were performed to evaluate the interaction between age and events. Adjusted ORs were also estimated with multiple logistic regression models.

Results

In the 15–16‐year‐old group, the unadjusted ORs were significantly higher for symptoms of memory impairment, dyscalculia, and involuntary movement. The age‐adjusted multivariate analyses demonstrated that the vaccinated cases were less likely than the unvaccinated controls to have experienced symptoms in almost all symptoms, except for two symptoms such as involuntary movement and weakness. However, study period‐adjusted multivariate analyses demonstrated that the vaccinated cases were significantly more likely than un‐vaccinated controls to have experienced symptoms of memory impairment and involuntary movement.

Conclusions

Based on our analysis using data from the Nagoya City surveillance survey, a possible association between HPV vaccination and distinct symptoms such as cognitive impairment or movement disorders exists. A consistent causal relationship between HPV vaccination and these symptoms remains uncertain. However, given the seriousness of symptoms, we believe that a more comprehensive and large‐scale study is essential to confirm the safety of HPV vaccination.

Keywords: adverse events, human papilloma virus, surveillance, vaccine

INTRODUCTION

Introduction of human papilloma virus vaccination

Vaccines against the human papilloma virus (HPV) initially were introduced into public use with the 2006 European approval of the quadrivalent vaccine and the subsequent 2007 approval of the bivalent vaccine. In June, 2006, the Food and Drug Administration in the USA approved the quadrivalent vaccine and the Advisory Committee on Immunization Practices recommended routine HPV vaccination for girls (Markowitz et al., 2007). By August, 2014, 58 countries had introduced the HPV vaccine into their national immunization program (World Health Organization, 2014). As of November, 2015, >63 million and 19 million persons worldwide were estimated to have been vaccinated with the quadrivalent and bivalent vaccine, respectively (European Medicines Agency, 2015).

These vaccines also were approved for use in Japan in October, 2009 for the bivalent vaccine and July, 2011 for the quadrivalent vaccine. After a HPV vaccine promotion campaign, the vaccines were included in the Japanese vaccination program for girls aged 12–16 years in April, 2013. Within 3 months of formal designation as a routine vaccine, however, the Ministry of Health, Labour and Welfare issued a nationwide notice to withhold recommending HPV vaccination in June, 2013 (Ministry of Health, Labour & Welfare, 2013). The measures that were taken by the Japanese Government triggered domestic and international controversy.

Case reports of adverse events

Kinoshita et al. (2014) reported 40 girls who were aged 11–17 years developed several symptoms after HPV vaccination. The authors referred to these symptoms as “complex regional pain syndrome” (CRPS) and “postural orthostatic tachycardia syndrome” (POTS), which were interpreted as peripheral autonomic disorders. Nishioka, Yokota, and Matsumoto (2014) proposed the term “HPV vaccination‐associated neuroimmunopathic syndrome” (HANS) in order to refer to a variety of symptoms that occur after HPV vaccination and created preliminary diagnostic criteria in 2014 (Nishioka, Yokota, & Matsumoto, 2014; Yokota, Kuroiwa, Nakamura, Nakajima, & Nishioka, 2015). Doctors and researchers who have examined patients with post‐HPV vaccination symptoms highlighted characteristic symptoms. The reported serious adverse events included diverse, complex, multisystem symptoms, such as: seizures; impaired consciousness; systemic pain including headache, myalgia, arthralgia, back pain, and other pain; motor dysfunction such as paralysis, muscular weakness, exhaustion, and involuntary movement; autonomic symptoms including dizziness, hypotension, tachycardia, and diarrhoea; endocrine disorders such as menstrual abnormality and menorrhagia; severe photophobia and hyperacusis; sleep disorders; and higher brain dysfunction and cognitive impairments including impaired memory, disorientation, and poor concentration (Kinoshita et al., 2014; Nishioka, Yokota, & Matsumoto, 2014; Yokota, Kuroiwa, Nakamura, Nakajima, & Nishioka, 2014). Many of these symptoms overlap with CRPS, POTS, chronic fatigue syndrome (CFS) and fibromyalgia syndrome. Furthermore, in some cases, these symptoms impaired learning ability and resulted in extreme fatigue and decreased motivation, having a negative impact on everyday life (Kinoshita et al., 2014).

Blitshteyn (2014) from the USA reported six patients who developed POTS following HPV vaccination. Brinth, Theibel, Pors, and Mehlsen (2015) from Denmark presented 53 patients with suspected side‐effects to the quadrivalent HPV vaccine and reported that all the patients had symptoms that were consistent with pronounced autonomic dysfunction.

In recent years, Ozawa, Hineno, Kinoshita, Ishihara, and Ikeda (2017) described a case series of Japanese girls who were affected by suspected HPV vaccine‐related symptoms. They concluded that HPV vaccination was related to the transiently high prevalence of multiple symptoms, including CRPS and autonomic and cognitive dysfunction. Furthermore, Chandler et al. (2017) published a novel approach to case series identification for thorough signal evaluation by using data‐driven exploratory cluster analysis of HPV vaccine adverse event reports. They reported that the proportional reporting ratio of the combination of adverse events terms (headache and dizziness with either syncope or fatigue), comparing HPV vaccine reports with non‐HPV vaccine reports was 2.44 (95% confidence interval [CI]: 2.07–2.89) based on adverse events cluster analysis using VigiBase, the World Health Organization's international database of suspected adverse drug reactions. Their analysis also revealed a large number of reports with a pattern of adverse events, including headache, dizziness, fatigue, and syncope and that these symptoms overlapped those that were reported in cases from the safety signals (POTS, CRPS, and CFS) in previous studies.

Epidemiological studies

Souayah et al. (2011), using data from the United States Vaccine Adverse Event Reporting System during 2006–2009, identified 69 reports of Guillain‐Barré syndrome (GBS) after quadrivalent HPV vaccination and estimated that the weekly reporting rate of post‐quadrivalent HPV vaccine GBS within the first 6 weeks (6.6 cases per 10 million) was higher than that of the general population (0.65–2.57 cases per 10 million). A large Scandinavian register‐based cohort study comparing almost 300,000 cases (received at least one dose of the quadrivalent HPV vaccine) and 700,000 controls found increased risk ratios (RRs) for three autoimmune manifestations: Behçet's syndrome, Raynaud's disease, and type 1 diabetes (Arnheim‐Dahlström, Pasternak, Svanström, Sparén, & Hviid, 2013).

A large‐scale, self‐completed mail survey of adverse events experienced in 70,000 young women, the “Nagoya City Cervical Cancer Immunization Program Survey” (hereafter, referred to as “the Nagoya Survey”), was conducted in September, 2015. Nagoya City reported the totalized summary and presented the complete questionnaire survey data to the public. At present, these summary and complete data are disclosed and available at the website of Nagoya City (Health and Welfare Bureau, Nagoya City, 2016). Suzuki and Hosono (2018) reported that none of the reported symptoms were significantly associated with increased odds of them occurring after the administration of the HPV vaccine based on the results of the Nagoya Survey. The safety issue of the HPV vaccine is still a controversy. The aim of this study was to assess the safety of HPV vaccines by using data from the Nagoya Survey.

Current status and issues

Although numerous case reports have suggested that HPV vaccines can cause serious side‐effects, as well as a number of safety signals that have emerged with HPV vaccination in epidemiological studies, these findings do not provide consistent evidence for a causal link. Despite the existence of independently clustered reports and safety signals, on November 26, 2015, the European Medicines Agency (2015) released a 40 page assessment report on the safety of HPV vaccines, which concluded that there was no evidence of an association between HPV vaccines and CRPS or POTS, based on the review carried out by the European Medicines Agency's Pharmacovigilance Risk Assessment Committee.

In Japan, after the suspension of the government's recommendation for HPV vaccination in June, 2013, the HPV vaccination rate in the target population plunged from 80% at its peak to <1% (as of 2015, 0.1% in 12 year olds; 0.7% in 13 year olds) (Ministry of Health, Labour & Welfare, 2016a). As of February, 2016, ~3.39 million teenage girls have been vaccinated in Japan (Ministry of Health, Labour & Welfare, 2016b).

METHODS

Data source and variable selection for the analyses

The data source for this investigation was the dataset of the Nagoya Survey (Health & Welfare Bureau, Nagoya City, 2016). According to Nagoya City, the study population consisted of women who were aged 15–21 years who were residents of Nagoya City. The questionnaire survey period was from September to November, 2015 and the response rate was 43.3%. The original data of the 275 questions from the 30,793 respondents are disclosed as a set of PDF files on the website of Nagoya City. Professor Okumura of Mie University voluntarily converted the PDFs into comma‐separated values (CSVs) and uploaded them onto his personal website (Okumura, 2018). The authors downloaded the CSV data from his website and selected eight items for the analyses: age, individual HPV vaccine administration, the brand name of the HPV vaccine that was administered, time of the first HPV vaccination, the 24 symptoms experienced during the questionnaire survey period, onset time of each symptom, currently having symptoms and frequency (“always” or “sometimes”), and consultation with a doctor for the symptom(s). The authors verified the accuracy of the data and confirmed that it was reliable for analysis.

Determining the vaccinated cases and the unvaccinated controls

By using binary answers (“yes”/”no”) for the question on individual HPV vaccine administration, the respondents were categorized into the “vaccinated case” group or the ”unvaccinated control” group. The respondents who checked both choices or did not answer the question were included in the “unclear” group. However, after examination of the unclear group, some respondents in this group were reclassified into the vaccinated case group because they clearly answered the time of HPV vaccination or because they responded “unclear” for two or three of the three questions about the correct time of vaccination for the three doses of HPV vaccine.

Determining the events and elapsed time period from the first vaccination to symptom onset

This study constructed 24 event variables for the analyses that corresponded to the 24 symptoms that were investigated in the survey by editing the binary answers of “yes” or “no” for the question on a certain symptom that was experienced during the questionnaire survey period. For the answers of “yes,” it was judged that the respondent experienced the symptom, while for the answers of “no,” it was judged that she did not experience it. If the respondent checked both answers or did not check either answer, it was judged that the respondent's event was “uncertain.” However, some events were changed from “uncertain” to “experienced” when the experiences could be confirmed because the onset time of the symptom, currently experiencing the symptom, or consultation with a doctor for symptom(s) was clearly described.

Events were excluded in the vaccinated case group in which the first HPV vaccination was administered after the onset time of the symptom because the causes are antecedent to the consequences. Therefore, these records were treated as vaccinated cases with no symptom. Consequently, the questionnaire survey period was defined differently between the vaccinated cases and the unvaccinated controls: the questionnaire survey period for the vaccinated cases was restricted to the post‐vaccination period, while the period for the unvaccinated controls was the complete period of the questionnaire survey period (from 12 years of age to the participant's age at September, 2015). Hereafter, the term “study period” is used instead of the term “questionnaire survey period” to refer to the periods that are common between the vaccinated cases and the unvaccinated controls in terms of the “risk period.” The intervals between the time of the first HPV vaccination and the onset time of the symptom in each vaccinated case was calculated for the analyses.

Statistical analyses

The data were summarized with descriptive statistics as the mean with standard deviation (SD) and the median with the interquartile range and the crude incidence odds were compared for the events between the vaccinated and the unvaccinated groups by unadjusted odds ratios (ORs) with 95% CIs.

Possible associations between HPV vaccination and each symptom were explored by fitting two multiple logistic regression models (models 1 and 2) with different covariates to the data to estimate the adjusted ORs with 95% CIs. The covariates that were used in model 1 were “vaccination” and “age” and those in model 2 were “vaccination” and “study period.” Furthermore, to explore the interaction effect of vaccination and study period on symptom experience, a multiple logistic regression was used in model 3. The covariates that were used in model 3 were “vaccination,” “study period,” and the interaction covariate between vaccination and study period. A logistic regression also was used to test for an interaction between vaccination and age and for an interaction between vaccination and study period. The results of two‐sided testing was shown if necessary with P‐values, without adjusting for multiplicity. All the analyses were conducted by using R version 3.2.2 (R Core Team, 2015).

Of the 30,279 women whose data on HPV vaccination were available, the data on age were available for 29,846 women. These data were included in multiple logistic regression model 1 and the age‐stratified analyses. Of these 29,846 women, the time of the first vaccination was available for 26,665 women, who were included in multiple logistic regression models 2 and 3.

The proportion of vaccinated cases varied according to age due to the change in Japanese public health policy regarding HPV vaccination. Thus, the impact of a healthy vaccine effect bias would have varied by age. The healthy vaccine effect is a form of selection bias in which healthier persons might be more likely to be vaccinated, leading to a subsequent decrease in the risk of adverse events after vaccination; this bias is more likely to occur the higher the vaccination rate (Fine & Chen, 1992; Shrank, Patrick, & Brookhart, 2011). Therefore, when comparing vaccinated cases with unvaccinated controls in the 17–21 year old group, in which the proportion of vaccinated women was >70%, it was considered that the likelihood of a healthy vaccine effect bias was high. In contrast, the proportions of vaccinated women in the 15‐ and 16 year old groups were 15% and 50%, respectively; thus, it was assumed that the risk of the healthy vaccine effect bias was relatively low in these age groups. Additionally, the respondents in the 15–16 year old group had reached the age of the target population for HPV vaccination after the suspension of the government recommendation. Therefore, it was hypothesized that almost all the respondents in this age group did not receive HPV vaccination simply because they did not want to be vaccinated and not because of health issues, leading to the low vaccination rate (15%). Almost all the unvaccinated controls in this age group were expected to be averagely healthy women. Furthermore, most women in the vaccinated case group, irrespective of age, were generally considered to be healthy women because they were healthy vaccine users. In order to minimize the impact of healthy user bias, age‐stratified analyses (15‐, 16‐, 15–16‐, and 17–21 year old groups) were carried out and the vaccinated cases in all age groups (15–21 year old group) were compared with the unvaccinated controls in the 15–16 year old group.

This is an analytical study using data from open data sources. For this type of study, formal consent is not required.

RESULTS

Characteristics of the study population

Table 1 summarizes the characteristics of all the participants involved in the present study. Overall, 30,793 women were included, comprising 21,034 vaccinated cases, 9245 unvaccinated controls (subtotal: 30,279), and 514 women for whom their vaccination status was unclear.

Table 1.

Participants’ characteristics

Variable N (%)
Birth year Age (years) Vaccinated Unvaccinated Unclear Total
(n = 21,034) (n = 9245) (n = 514) (n = 30,793)
2000 15 662 (14.6) 3761 (82.8) 121 (2.7) 4544 (100)
1999 16 2123 (50.1) 2038 (48.1) 80 (1.9) 4241 (100)
1998 17 3158 (70.2) 1260 (28.0) 83 (1.8) 4501 (100)
1997 18 3766 (84.0) 663 (14.8) 55 (1.2) 4484 (100)
1996 19 3725 (88.0) 452 (10.7) 58 (1.4) 4235 (100)
1995 20 3749 (88.7) 428 (10.1) 50 (1.2) 4227 (100)
1994 21 3565 (86.9) 496 (12.1) 41 (1.0) 4102 (100)
Subtotal 20,748 (68.4) 9098 (30.0) 488 (1.6) 30,334 (100)
Age unclear 286 (62.3) 147 (32.0) 26 (5.7) 459 (100)
Total 21,034 (68.3) 9245 (30.0) 514 (1.7) 30,793 (100)
Vaccine administered: N (%) Vaccinated
(n = 20,748)
Bivalent vaccine 13,319 (64.2)
Quadrivalent vaccine 4214 (20.3)
Unknown 2895 (14.0)
No answer 320 (1.5)
Total 20,748 (100.0)
Age (years) Vaccinated Unvaccinated Total
(n = 20,748) (n = 9098) (n = 29,846)
Minimum 15.0 15.0 15.0
Maximum 21.0 21.0 21.0
Mean (SD) 18.6 (1.7) 16.5 (1.8) 18.0 (2.0)
Median (IQRa) 19.0 (17.0–20.0) 16.0 (15.0–17.0) 18.0 (16.0–20.0)
Study period (year) Vaccinated Unvaccinated
(n = 17,567) (n = 9098)
Minimum 0.0 3.0
Maximum 6.0 9.0
Mean (SD) 3.9 (0.9) 4.5 (1.8)
Median (IQR) 4.0 (3.0–4.0) 4.0 (3.0–5.0)

IQR, interquartile range; SD, standard deviation.

First, except for the 16 year old group, there was a significant imbalance in the numbers of vaccinated and unvaccinated women. When the proportions of the vaccinated women were compared stratified by age, the proportion in the 15 year old group (14.6%) was far less than that of the 16 year old group (50.1%) and the 17–21 year old group (>70%). Second, there were threefold more women who had been administered the bivalent HPV vaccine than the quadrivalent HPV vaccine. Third, the unvaccinated controls tended to be younger than the vaccinated cases. The mean (SD) age was 18.6 (1.7) years for the vaccinated cases and 16.5 (1.8) years for the unvaccinated controls. Finally, the mean study period for the vaccinated cases (3.9 years) was 0.6 years shorter than that of the unvaccinated controls (4.5 years).

Possible association between human papilloma virus vaccination and symptoms

Unadjusted and age‐adjusted odds ratios in all age groups

Table 2 shows the unadjusted and age‐adjusted ORs for all 24 symptoms among the 29,846 women. The vaccinated cases were slightly more likely than the unvaccinated controls to have experienced symptoms of memory impairment (unadjusted OR: 1.13 [95% CI: 0.97–1.33]), involuntary movement (OR: 1.32 [95% CI: 0.98–1.78]), walking disability (OR: 1.29 [95% CI: 0.80–2.10]), a sudden attack of muscle weakness (OR: 1.11 [95% CI: 0.88–1.40]), and weakness (OR: 1.12 [95% CI: 0.91–1.38]). Apart from these symptoms, the other symptoms demonstrated ORs of <1 and most of them were statistically significant. In contrast, the multivariate analysis with the multiple logistic regression in model 1 (adjusted for age) demonstrated that the ORs for the symptoms of involuntary movement and weakness were ~1 (involuntary movement: OR: 1.05 [95% CI: 0.76–1.48] and weakness: OR: 1.05 [95% CI: 0.83–1.34]). Apart from these two symptoms, the other symptoms demonstrated ORs of <1 and most of them were statistically significant. These results suggest that there was no association between HPV vaccination and the symptoms.

Table 2.

Age‐adjusted odds ratios (ORs) provided by model 1 for all age groups

No. Symptom Vaccinated Unvaccinated Unadjusted Age‐adjusted P
Event (+) Event (−) Event (+) Event (−) OR 95% CI OR 95% CI
Lower Upper Lower Upper
1 Menstrual abnormality 3603 17,001 2309 6696 0.61 0.58 0.65 0.55 0.52 0.59 0.03
2 Menorrhagia 1142 19,427 560 8434 0.89 0.80 0.98 0.77 0.68 0.86 0.29
3 Arthralgia 1163 19,411 720 8276 0.69 0.63 0.76 0.67 0.60 0.75 0.00
4 Severe headache 1529 19,083 925 8097 0.70 0.64 0.76 0.66 0.60 0.73 0.00
5 Lassitude 1831 18,775 1037 7984 0.75 0.69 0.81 0.64 0.59 0.71 0.00
6 Exhaustion 1867 18,734 991 8028 0.81 0.74 0.88 0.71 0.64 0.77 0.00
7 Impaired consciousness 1159 19,425 723 8294 0.68 0.62 0.75 0.67 0.60 0.75 0.00
8 Abnormal visual field 324 20,256 172 8845 0.82 0.68 0.99 0.68 0.55 0.85 0.01
9 Severe photophobia 720 19,881 356 8662 0.88 0.77 1.00 0.74 0.64 0.86 0.00
10 Reduced visual acuity 919 19,670 794 8221 0.48 0.44 0.53 0.52 0.46 0.58 0.00
11 Dizziness 1836 18,759 1089 7927 0.71 0.66 0.77 0.67 0.61 0.73 0.00
12 Cold sensation in the legs 1775 18,807 1144 7873 0.65 0.60 0.70 0.55 0.50 0.60 0.06
13 Sleep disorder 1226 19,372 692 8320 0.76 0.69 0.84 0.57 0.51 0.64 0.00
14 Hypersomnolence 1936 18,632 1058 7955 0.78 0.72 0.85 0.69 0.63 0.76 0.00
15 Skin roughness 1497 19,100 1062 7950 0.59 0.54 0.64 0.54 0.49 0.59 0.89
16 Hyperpnea 536 20,075 335 8694 0.69 0.60 0.80 0.60 0.51 0.70 0.00
17 Memory impairment 559 20,054 217 8805 1.13 0.97 1.33 0.87 0.72 1.04 0.00
18 Dyscalculia 167 20,442 79 8940 0.92 0.71 1.21 0.61 0.45 0.83 0.00
19 Dyslexia 386 20,224 181 8846 0.93 0.78 1.11 0.66 0.54 0.81 0.00
20 Involuntary movement 175 20,436 58 8964 1.32 0.98 1.78 1.05 0.76 1.48 0.04
21 Walking disability 65 20,540 22 8990 1.29 0.80 2.10 0.90 0.53 1.57 0.06
22 Using a cane or wheelchair 26 20,581 16 8994 0.71 0.38 1.32 0.49 0.25 1.02 0.26
23 Sudden attack of muscle weakness 253 20,340 100 8909 1.11 0.88 1.40 0.92 0.71 1.20 0.01
24 Weakness 318 20,224 124 8862 1.12 0.91 1.38 1.05 0.83 1.34 0.06

Logistic regression in model 1;

P‐value: test for the interaction between vaccination and age.

CI, confidence interval.

When considering these age‐adjusted results, two key assumptions of multiple linear regression model 1 should be noted; that is, linearity and similarity (no interaction among the covariates). First, logistic regression model 1 assumes linearity of the independent variables and log odds of event occurrence. There were, however, no linear or monotone associations between age and the events across different symptoms in the total cohort. That is, the event rates did not show a tendency to increase or decrease relative to an increase of age. Furthermore, a substantial difference was observed between the event rates in the older age groups (e.g. ≥17 years or ≥18 years) and those in the younger age groups for several symptoms. For example, the event rates in the 15–16 year old group (or 15–17 year old group) were lower than those in the ≥17 year old group (or ≥18 year old group). A representative example of age‐stratified event rates in which the event rates in the 15–16 year old group were substantially lower than those in the ≥17 year old group is shown in Figure 1. These findings suggest that not only with non‐linearity, but the population characteristics of the younger age groups, are substantially different from those of the older age groups related to discontinuity of the event rates.

Figure 1.

Figure 1

Age‐stratified event rates in all age groups: Memory impairment.

Second, it should be noted that an age‐adjusted rate is a method to make fairer comparisons between groups with different age distributions. This method assumes that the effect of age on an event rate is similar between groups or shows no significant interaction among the covariates. However, this similarity was not observed between the vaccinated cases and the unvaccinated controls. For instance, a weak linear trend between age and event rates was observed only in the unvaccinated controls for some symptoms and was not observed in the vaccinated cases across different symptoms. Examples of each group were shown by using the data on memory impairment. Whereas, a linear trend is not observed in the vaccinated cases, it was observed in the unvaccinated controls (Figs 2 and 3), suggesting that the effect of age on the event rates is not similar between the two groups. Furthermore, as shown in Figure 1, the event rates in the 15–16 year old group were substantially lower than those in the ≥17 year old group (Fig. 3).

Figure 2.

Figure 2

Age‐stratified event rates in the vaccinated cases: Memory impairment.

Figure 3.

Figure 3

Age‐stratified event rates in the unvaccinated controls: Memory impairment.

Given these findings, it appeared that multiple logistic regression model 1, with age as a covariate, was not appropriate for the data analysis in the present study. In fact, the test for the interaction between vaccination and age was statistically significant, except for distinct symptoms: menorrhagia (P = 0.29), a cold sensation in the legs (P = 0.06), skin roughness (P = 0.89), walking disability (P = 0.06), using a cane or wheelchair (P = 0.26), and weakness (P = 0.06) (Table 2). These results further support that model 1, with age as the covariate, was not appropriate.

Unadjusted and study period‐adjusted odds ratios in all age groups

From the above‐mentioned findings, it was considered that an alternative covariate should be used in place of age for the logistic regression models. Therefore, “study period”‐adjusted ORs were estimated in model 2. Table 3 shows the study period‐adjusted ORs for all 24 symptoms among 26,665 women. The vaccinated cases were more likely than the unvaccinated controls to have experienced symptoms of memory impairment (OR: 1.23 [95% CI: 1.03–1.47]), dyscalculia (OR: 1.13 [95% CI: 0.83–1.54]), involuntary movement (OR: 1.53 [95% CI: 1.11–2.13]), walking disability (OR: 1.68 [95% CI: 0.98–3.00]), a sudden attack of muscle weakness (OR: 1.18 [95% CI: 0.92–1.53]), and weakness (OR: 1.21 [95% CI: 0.97–1.52]). Among these symptoms, the ORs of memory impairment and involuntary movement were statistically significant, suggesting that there is an association between HPV vaccination and these symptoms. The test for the interaction between vaccination and the study period was statistically significant for only seven symptoms (Table 3).

Table 3.

Study period‐adjusted odds ratios (ORs) provided by model 2 in all age groups

No. Symptom Vaccinated Unvaccinated Unadjusted Study period‐adjusted P
Event (+) Event (−) Event (+) Event (−) OR 95% CI OR 95% CI
Lower Upper Lower Upper
1 Menstrual abnormality 2686 14,759 2309 6696 0.53 0.50 0.56 0.55 0.52 0.59 0.90
2 Menorrhagia 871 16,544 560 8434 0.79 0.71 0.88 0.85 0.76 0.95 0.56
3 Arthralgia 894 16,529 720 8276 0.62 0.56 0.69 0.65 0.58 0.72 0.07
4 Severe headache 1166 16,294 925 8097 0.63 0.57 0.69 0.67 0.61 0.74 0.54
5 Lassitude 1396 16,058 1037 7984 0.67 0.61 0.73 0.72 0.66 0.79 0.00
6 Exhaustion 1436 16,011 991 8028 0.73 0.67 0.79 0.77 0.71 0.85 0.01
7 Impaired consciousness 903 16,532 723 8294 0.63 0.57 0.69 0.65 0.59 0.73 0.22
8 Abnormal visual field 255 17,176 172 8845 0.76 0.63 0.93 0.85 0.69 1.04 0.17
9 Severe photophobia 550 16,899 356 8662 0.79 0.69 0.91 0.89 0.77 1.02 0.40
10 Reduced visual acuity 677 16,763 794 8221 0.42 0.38 0.46 0.42 0.38 0.47 0.29
11 Dizziness 1417 16,025 1089 7927 0.64 0.59 0.70 0.66 0.61 0.72 0.01
12 Cold sensation in the legs 1331 16,101 1144 7873 0.57 0.52 0.62 0.61 0.56 0.66 0.33
13 Sleep disorder 940 16,508 692 8320 0.68 0.62 0.76 0.78 0.70 0.87 0.11
14 Hypersomnolence 1493 15,925 1058 7955 0.70 0.65 0.77 0.75 0.69 0.82 0.14
15 Skin roughness 1171 16,272 1062 7950 0.54 0.49 0.59 0.56 0.51 0.61 0.77
16 Hyperpnea 408 17,049 335 8694 0.62 0.54 0.72 0.71 0.61 0.83 0.96
17 Memory impairment 437 17,022 217 8805 1.04 0.88 1.23 1.23 1.03 1.47 0.00
18 Dyscalculia 133 17,321 79 8940 0.87 0.66 1.15 1.13 0.83 1.54 0.00
19 Dyslexia 291 17,163 181 8846 0.83 0.69 1.00 1.00 0.82 1.22 0.00
20 Involuntary movement 150 17,307 58 8964 1.34 0.99 1.82 1.53 1.11 2.13 0.12
21 Walking disability 54 17,397 22 8990 1.27 0.77 2.08 1.68 0.98 3.00 0.34
22 Using a cane or wheelchair 21 17,433 16 8994 0.68 0.35 1.30 0.90 0.44 1.90 0.91
23 Sudden attack of muscle weakness 208 17,234 100 8909 1.08 0.85 1.37 1.18 0.92 1.53 0.01
24 Weakness 276 17,134 124 8862 1.15 0.93 1.43 1.21 0.97 1.52 0.22

Logistic regression in model 2;

P‐value: test for the interaction between vaccination and the study period.

CI, confidence interval.

However, it should be noted that linearity was observed between event rates and the study period within only some symptoms. An example of a vaccinated case group was shown by using the data on memory impairment, in which a linear trend was not observed (Fig. 4). The study period‐stratified event rates in the unvaccinated controls were the same as the age‐stratified event rates in the unvaccinated controls, as shown in Figure 3. Therefore, it is suggested that the effect of the study period on event rates is not similar between the two groups.

Figure 4.

Figure 4

Study period‐stratified event rates in the vaccinated cases: Memory impairment.

These findings suggest that logistic regression model 2, with the study period as the covariate, does not always fit the data for the analyses and other approaches should be designed. Therefore, the results of both model 1 (age‐adjusted) and model 2 (study period‐adjusted) are considered as preliminary data.

Additionally, the study‐period adjusted ORs were estimated in model 3. By fitting multiple logistic regression model 3, of the seven symptoms in which the test for an interaction between vaccination and the study period was statistically significant, four symptoms demonstrated ORs that were >1 with statistical significance. They were the symptoms of memory impairment (OR: 3.59 [95% CI: 2.05–6.25]), dyscalculia (OR: 4.37 [95% CI: 1.63–11.61]), dyslexia that was characterized by a difficulty in reading and writing Chinese characters (hereinafter, referred to as “dyslexia”) (OR: 2.82 [95% CI: 1.46–5.39]), and a sudden attack of muscle weakness (OR; 3.16 [95% CI: 1.42–6.96]), suggesting that there is an association between HPV vaccination and these symptoms (Table 4).

Table 4.

Study period‐adjusted odds ratios (OR)s provided by model 3 in all age groups

No. Symptom Vaccinated Unvaccinated Unadjusted Study period‐adjusted P
Event (+) Event (−) Event (+) Event (−) OR 95% CI OR 95% CI
Lower Upper Lower Upper
1 Menstrual abnormality 2686 14,759 2309 6696 0.53 0.50 0.56 0.54 0.43 0.68 0.90
2 Menorrhagia 871 16,544 560 8434 0.79 0.71 0.88 0.76 0.51 1.12 0.56
3 Arthralgia 894 16,529 720 8276 0.62 0.56 0.69 0.89 0.62 1.28 0.07
4 Severe headache 1166 16,294 925 8097 0.63 0.57 0.69 0.61 0.44 0.84 0.54
5 Lassitude 1396 16,058 1037 7984 0.67 0.61 0.73 1.27 0.94 1.70 0.00
6 Exhaustion 1436 16,011 991 8028 0.73 0.67 0.79 1.12 0.83 1.51 0.01
7 Impaired consciousness 903 16,532 723 8294 0.63 0.57 0.69 0.81 0.56 1.16 0.22
8 Abnormal visual field 255 17,176 172 8845 0.76 0.63 0.93 1.34 0.67 2.65 0.17
9 Severe photophobia 550 16,899 356 8662 0.79 0.69 0.91 1.08 0.66 1.74 0.40
10 Reduced visual acuity 677 16,763 794 8221 0.42 0.38 0.46 0.34 0.23 0.51 0.29
11 Dizziness 1417 16,025 1089 7927 0.64 0.59 0.70 0.98 0.73 1.30 0.01
12 Cold sensation in the legs 1331 16,101 1144 7873 0.57 0.52 0.62 0.70 0.52 0.95 0.33
13 Sleep disorder 940 16,508 692 8320 0.68 0.62 0.76 1.04 0.72 1.50 0.11
14 Hypersomnolence 1493 15,925 1058 7955 0.70 0.65 0.77 0.93 0.69 1.24 0.14
15 Skin roughness 1171 16,272 1062 7950 0.54 0.49 0.59 0.53 0.39 0.73 0.77
16 Hyperpnea 408 17,049 335 8694 0.62 0.54 0.72 0.70 0.40 1.21 0.96
17 Memory impairment 437 17,022 217 8805 1.04 0.88 1.23 3.59 2.05 6.25 0.00
18 Dyscalculia 133 17,321 79 8940 0.87 0.66 1.15 4.37 1.63 11.61 0.00
19 Dyslexia 291 17,163 181 8846 0.83 0.69 1.00 2.82 1.46 5.39 0.00
20 Involuntary movement 150 17,307 58 8964 1.34 0.99 1.82 3.19 1.17 8.66 0.12
21 Walking disability 54 17,397 22 8990 1.27 0.77 2.08 3.68 0.66 20.66 0.34
22 Using a cane or wheelchair 21 17,433 16 8994 0.68 0.35 1.30 0.77 0.06 8.85 0.91
23 Sudden attack of muscle weakness 208 17,234 100 8909 1.08 0.85 1.37 3.16 1.42 6.96 0.01
24 Weakness 276 17,134 124 8862 1.15 0.93 1.43 1.83 0.90 3.70 0.22

Logistic regression in model 3;

P‐value: test for the interaction between vaccination and the study period.

CI, confidence interval.

Unadjusted odds ratios provided by age‐stratified analyses (15‐, 16‐, 15–16‐, and 17–21 year old groups)

The unadjusted ORs for the age‐stratified analyses of all 24 symptoms among the 29,846 women are shown in Table 5. In the 15 year old group, the ORs were significantly higher for the symptoms of memory impairment (OR: 2.23 [95% CI: 1.37–3.63]), dyscalculia (OR: 2.30 [95% CI: 1.01–5.24]), and dyslexia (OR: 1.75 [95% CI: 1.01–3.03]). In the 15–16 year old group, the ORs were significantly higher for the symptoms of memory impairment (OR: 1.70 [95% CI: 1.24–2.33]), dyscalculia (OR: 1.77 [95% CI: 1.00–3.13]), and involuntary movement (OR: 1.86 [95% CI: 1.07–3.23]). In contrast, a subgroup analysis of the 17–21 year old group demonstrated the ORs of all symptoms were <1 and most were statistically significant.

Table 5.

Unadjusted odds ratios (ORs) stratified by age group

Age group (years)
No. 15 16 15–16 17–21
Symptom OR 95% CI OR 95% CI OR 95% CI OR 95% CI
Lower Upper Lower Upper Lower Upper Lower Upper
1 Menstrual abnormality 0.68 0.55 0.85 0.57 0.49 0.66 0.60 0.54 0.68 0.55 0.51 0.60
2 Menorrhagia 0.91 0.62 1.33 0.77 0.58 1.01 0.83 0.67 1.02 0.77 0.67 0.90
3 Arthralgia 0.77 0.55 1.08 0.83 0.64 1.08 0.76 0.62 0.91 0.60 0.52 0.68
4 Severe headache 0.85 0.62 1.16 0.61 0.49 0.76 0.71 0.59 0.84 0.60 0.53 0.68
5 Lassitude 0.93 0.69 1.25 0.74 0.60 0.91 0.83 0.71 0.98 0.58 0.52 0.65
6 Exhaustion 1.00 0.75 1.33 0.76 0.62 0.94 0.87 0.74 1.03 0.65 0.58 0.73
7 Impaired consciousness 0.84 0.60 1.19 0.76 0.59 0.97 0.81 0.67 0.98 0.57 0.50 0.65
8 Abnormal visual field 1.06 0.57 1.97 1.04 0.60 1.79 0.90 0.62 1.32 0.63 0.49 0.81
9 Severe photophobia 0.73 0.43 1.23 1.03 0.72 1.47 0.89 0.68 1.17 0.67 0.56 0.79
10 Reduced visual acuity 0.39 0.26 0.59 0.69 0.54 0.87 0.59 0.49 0.71 0.49 0.42 0.56
11 Dizziness 0.75 0.56 1.00 0.74 0.60 0.91 0.74 0.63 0.87 0.62 0.55 0.69
12 Cold sensation in the legs 0.59 0.43 0.81 0.55 0.44 0.68 0.58 0.49 0.69 0.55 0.49 0.62
13 Sleep disorder 0.92 0.65 1.30 0.76 0.57 1.01 0.75 0.61 0.92 0.57 0.50 0.65
14 Hypersomnolence 0.86 0.64 1.15 0.67 0.54 0.82 0.78 0.66 0.91 0.68 0.61 0.76
15 Skin roughness 0.63 0.46 0.85 0.55 0.44 0.69 0.56 0.47 0.66 0.55 0.49 0.62
16 Hyperpnea 0.91 0.53 1.55 0.74 0.52 1.07 0.85 0.64 1.13 0.50 0.42 0.60
17 Memory impairment 2.23 1.37 3.63 1.66 1.04 2.66 1.70 1.24 2.33 0.68 0.56 0.83
18 Dyscalculia 2.30 1.01 5.24 2.25 0.86 5.87 1.77 1.00 3.13 0.50 0.36 0.68
19 Dyslexia 1.75 1.01 3.03 1.16 0.68 2.01 1.20 0.84 1.74 0.61 0.49 0.76
20 Involuntary movement 0.95 0.28 3.23 2.25 1.03 4.93 1.86 1.07 3.23 0.89 0.60 1.31
21 Walking disability 1.90 0.38 9.45 1.60 0.38 6.70 1.62 0.60 4.36 0.81 0.45 1.49
22 Using a cane or wheelchair 0.00 N/A N/A 0.96 0.14 6.82 0.60 0.12 2.87 0.49 0.23 1.05
23 Sudden attack of muscle weakness 0.86 0.34 2.21 1.45 0.79 2.63 1.31 0.84 2.05 0.82 0.60 1.12
24 Weakness 1.19 0.58 2.46 1.32 0.80 2.17 1.37 0.94 2.00 0.92 0.68 1.23

CI, confidence interval; N/A, not applicable.

In summary, although an association between HPV vaccination and symptoms was not observed in the population with a high healthy vaccine effect bias (e.g. 17–21 year old group), an association between HPV vaccination and some characteristic symptoms was observed in those populations with a low healthy vaccine effect bias (e.g. 15‐, 16‐, and 15–16 year old groups). These findings suggest that HPV vaccination could lead to significant side‐effects, such as memory impairment, dyscalculia, and involuntary movement.

Unadjusted odds ratios provided by analyses comparing the vaccinated cases in all age groups with the unvaccinated controls in the 15–16 year old group

The unadjusted ORs of the events for all 24 symptoms among 26,517 women, comparing the vaccinated cases (20,748 women) in all age groups with the unvaccinated controls (5769 women) in the 15–16 year old group, are shown in Table 6. The ORs were significantly higher for the symptoms of memory impairment (OR: 1.80 [95% CI: 1.43–2.25]), dyscalculia (OR: 1.80 [95% CI: 1.19–2.73]), dyslexia (OR: 1.36 [95% CI: 1.06–1.73]), involuntary movement (OR: 1.82 [95% CI: 1.21–2.73]), walking disability (OR: 2.02 [95% CI: 1.01–4.06]), and a sudden attack of muscle weakness (OR: 1.39 [95% CI: 1.03–1.88]).

Table 6.

Unadjusted odds ratios (ORs) comparing the vaccinated cases in all age groups with the unvaccinated controls in the 15‐16 year old age group

No. Symptom Vaccinated Unvaccinated Unadjusted
Event (+) Event (−) Event (+) Event (−) OR 95% CI
Lower Upper
1 Menstrual abnormality 3603 17,001 1399 4348 0.66 0.61 0.71
2 Menorrhagia 1142 19,427 325 5414 0.98 0.86 1.11
3 Arthralgia 1163 19,411 423 5320 0.75 0.67 0.85
4 Severe headache 1529 19,083 537 5226 0.78 0.70 0.86
5 Lassitude 1831 18,775 566 5195 0.90 0.90 0.99
6 Exhaustion 1867 18,734 552 5204 0.94 0.85 1.04
7 Impaired consciousness 1159 19,425 415 5339 0.77 0.68 0.86
8 Abnormal visual field 324 20,256 90 5669 1.01 0.80 1.27
9 Severe photophobia 720 19,881 184 5575 1.10 0.93 1.29
10 Reduced visual acuity 919 19,670 519 5239 0.47 0.42 0.53
11 Dizziness 1836 18,759 640 5119 0.78 0.71 0.86
12 Cold sensation in the legs 1775 18,807 655 5104 0.74 0.67 0.81
13 Sleep disorder 1226 19,372 359 5396 0.95 0.84 1.07
14 Hypersomnolence 1936 18,632 622 5132 0.86 0.78 0.94
15 Skin roughness 1497 19,100 652 5105 0.61 0.56 0.68
16 Hyperpnea 536 20,075 168 5597 0.89 0.75 1.06
17 Memory impairment 559 20,054 88 5673 1.80 1.43 2.25
18 Dyscalculia 167 20,442 26 5737 1.80 1.19 2.73
19 Dyslexia 386 20,224 80 5686 1.36 1.06 1.73
20 Involuntary movement 175 20,436 27 5736 1.82 1.21 2.73
21 Walking disability 65 20,540 9 5745 2.02 1.01 4.06
22 Using a cane or wheelchair 26 20,581 7 5745 1.04 0.45 2.39
23 Sudden attack of muscle weakness 253 20,340 51 5701 1.39 1.03 1.88
24 Weakness 318 20,224 70 5666 1.27 0.98

1.65

CI, confidence interval.

Elapsed time period from the first vaccination to symptom onset

The mean and median number of months between the time of the first HPV vaccination and the onset time of the symptoms are presented in Table 7. The elapsed time period from the first vaccination to symptom onset ranged from 0 to 114 months. The median number of months from the first vaccination to symptom onset for the cognitive disorders was 24.0 (memory impairment), 25.0 (dyscalculia), and 30.0 (dyslexia). The median number of months for movement disorders was 20.5 (involuntary movement), 14.0 (walking disability), 17.0 (using a cane or wheelchair), 19.5 (a sudden attack of muscle weakness), and 17.0 (weakness). The median number of months for the cognitive disorders was ~10 months longer than those for the movement disorders.

Table 7.

Elapsed time period from the first vaccination to symptom onset

No. Symptom n 1 n 2 Min. Max. Mean (SD) Median (IQR)
1 Menstrual abnormality 3603 1572 0 113 21.7 (16.1) 19.0 (8.0–33.0)
2 Menorrhagia 1142 511 0 60 21.7 (15.7) 19.0 (8.0–34.0)
3 Arthralgia 1163 500 0 63 18.2 (16.4) 14.0 (3.1–31.0)
4 Severe headache 1529 646 0 64 20.6 (15.6) 18.0 (7.0–31.0)
5 Lassitude 1831 707 0 114 19.6 (15.7) 17.0 (6.0–30.0)
6 Exhaustion 1867 742 0 114 21.7 (15.8) 20.0 (8.0–33.0)
7 Impaired consciousness 1159 439 0 64 20.8 (15.8) 17.0 (7.0–32.0)
8 Abnormal visual field 324 148 0 57 22.5 (15.8) 20.0 (9.0–33.0)
9 Severe photophobia 720 261 0 64 23.1 (16.7) 21.0 (8.0–37.0)
10 Reduced visual acuity 919 479 0 63 20.7 (14.7) 18.0 (9.0–30.0)
11 Dizziness 1836 809 0 64 22.1 (15.8) 20.0 (9.0–35.0)
12 Cold sensation in the legs 1775 384 0 52 15.1 (11.9) 14.0 (4.0–22.0)
13 Sleep disorder 1226 494 0 113 28.1 (17.7) 27.0 (13.0–42.8)
14 Hypersomnolence 1936 696 0 60 23.1 (15.3) 21.0 (11.0–35.0)
15 Skin roughness 1497 739 0 60 25.0 (16.0) 24.0 (11.0–38.0)
16 Hyperpnea 536 303 0 69 23.0 (15.6) 21.0 (10.0–34.0)
17 Memory impairment 559 250 0 63 23.5 (16.1) 24.0 (8.0–35.0)
18 Dyscalculia 167 76 0 54 23.3 (16.3) 25.0 (7.8–35.0)
19 Dyslexia 386 154 0 60 28.9 (16.0) 30.0 (16.0–41.5)
20 Involuntary movement 175 96 0 61 23.0 (16.3) 20.5 (9.0–36.5)
21 Walking disability 65 41 0 55 17.6 (15.8) 14.0 (5.0–25.0)
22 Using a cane or wheelchair 26 15 1 54 21.3 (17.4) 17.0 (7.0–30.0)
23 Sudden attack of muscle weakness 253 118 0 56 21.9 (16.1) 19.5 (7.3–35.0)
24 Weakness 318 170 0 57 20.7 (16.6) 17.0 (6.0–35.0)

Number of patients with symptoms;

the number of patients of which the onset time was available.

CI, confidence interval; IQR, interquartile range; SD, standard deviation.

DISCUSSION

Adverse events following human papilloma virus vaccination

Healthy user bias, another form of selection bias, and the effect of an imbalance in the study period

The unadjusted ORs were <1 for almost all the symptoms that were common in the adolescents, such as menstrual abnormality, lassitude, and dizziness, suggesting that HPV vaccination can reduce the risk of symptoms. However, two types of hypotheses concerning these relatively low ORs can be made. First, one possible explanation for these findings is the healthy vaccine effect bias (Fine & Chen, 1992; Shrank, Patrick, & Brookhart, 2011). These common symptoms are more prone to the healthy vaccine effect. For instance, young women in better health might be more likely to be vaccinated and women in worse health might be less likely to receive HPV vaccination. Therefore, events in the vaccinated group might be underestimated, whereas those in the unvaccinated group might be overestimated. Consequently, when comparing the vaccinated cases with the unvaccinated controls, the ORs might be underestimated. As mentioned above in the section of statistical analyses, the healthy vaccine effect bias is more likely to occur the higher the vaccination rate. In fact, the ORs were <1 for all symptoms in the 17–21 year old group and most were statistically significant. That is, the influence of the healthy vaccine effect bias was remarkably observed in the analyses of the 17–21 year old group with high vaccination coverage (>70%).

Second, a focus on the difference in the study period between the vaccinated cases and the unvaccinated controls should be considered. As described in the Methods section, the study period was restricted for the vaccinated cases to the post‐vaccination period (range: 0–6 years) and the study period was defined for the unvaccinated controls as the complete time period of the questionnaire survey (from 12 years of age to the participant's age at September, 2015; range: 3–9 years). Consequently, the mean study period for the vaccinated cases was shorter than that for the unvaccinated controls. As a result of this difference, the event rates of the vaccinated cases were expected to be relatively underestimated, compared to those of the unvaccinated controls.

Multivariate analysis: Age‐adjustment and study period adjustment

In contrast to the common symptoms in adolescents, the unadjusted ORs were >1 for distinct symptoms, including memory impairment, involuntary movement, walking disability, a sudden attack of muscle weakness, and weakness (Tables 2 and 3). Moreover, in the multivariate analysis, the study period‐adjusted ORs for memory impairment, dyscalculia, involuntary movement, walking disability, a sudden attack of muscle weakness, and weakness were >1 and the ORs for memory impairment and involuntary movement were statistically significant, although they were not adjusted for multiplicity (Table 3). These findings are consistent with those of Yokota et al. (2015), who proposed the assumption that the HPV vaccine might develop hypothalamic damage, resulting in the onset of cognitive impairment or movement disorders.

In general, epidemiological research uses age adjustment to reduce the effect of having older participants in one group, compared to another group that has younger participants. However, an alternative covariate “study period” (defined by the post‐vaccination period for the vaccinated cases and the complete period of the questionnaire survey period for the unvaccinated controls) was considered, apart from age.

When conducting a logistic regression analysis in the model without an interaction, there was a need to confirm which of the following assumptions were made in the analysis of the data from the study: (i) the covariate (age or study period) can be a confounder: (ii) the distribution of the covariate differs between the two groups (vaccinated cases and unvaccinated controls); (iii) the linearity between the covariate and events and similarity between the vaccinated cases and the unvaccinated controls are observed; and (iv) the test for an interaction between vaccination and the covariate is not statistically significant.

As for age adjustment, the data from the present study met only assumption (ii). With respect to a confounder (assumption (i)), the data did not meet the assumption. That is because, considering the participants in the present study are young women ranging in age from 15 to 21 years, it is unnatural that the risk of the disease is naturally higher in the older participants, compared to the younger ones, in terms of the target symptoms in the study. As mentioned above in the Results section, there was neither a linear association between age and the event rates nor a similar effect of age on an event between the vaccinated cases and the unvaccinated controls. Furthermore, the test for the interaction between vaccination and age was statistically significant for almost all of the symptoms. These results supported the concept that the logistic regression model with age as the only covariate did not fit the data of this study. This is thought to explain why almost all the symptoms demonstrated ORs of <1 and most of them were statistically significant.

In contrast, the covariate “study period” can be a confounder because it refers to the risk period in which the event (the experience of symptom) occurs. That is, the longer the risk period, the more likely the participants are to have experienced symptoms. The distribution of the study period differed between the vaccinated cases and the unvaccinated controls. There was no linear association between the study period and event rates and no similar effect of the study period on an event between the vaccinated cases and the unvaccinated controls. The test for an interaction between vaccination and the study period was not statistically significant, except for seven symptoms (Table 3). As above‐mentioned, the logistic regression model with the study period as a covariate did not always fit the data from the present study. However, it can at least be stated that, in the case of the logistic regression, it appears more reasonable to assume that the study period is more appropriate than age as a covariate.

Suzuki and Hosono (2018) reported the age‐adjusted ORs of the association of vaccination and the occurrence of symptoms as primary outcomes, in which almost all the symptoms demonstrated ORs of < 1 and most of them were statistically significant. These results should be interpreted with caution. The reason is as follows. They described that age confounded the association between HPV vaccination and the reported symptoms. Therefore, they decided all the analyses should be age‐adjusted, although they did not provide any details of the methods, such as considering and examining the confounders or exploring the data distribution.

As a supplementary analysis, the possible associations between HPV vaccination and each symptom were explored by using standardization with the reference group of the whole participants to estimate the age‐standardized RR with 95% CIs (Sato, 1994). Table 8 summarizes the age‐standardized RRs for all 24 symptoms among 29,846 women. All the symptoms demonstrated RRs of <1 and most of them were statistically significant. These findings raise the possibility that there was no association between HPV vaccination and the symptoms (Table 8). In this regard, however, it is noted that the RR varied and did not show the same direction across the age strata for almost all the symptoms; hence, standardization does not fit the data from the present study.

Table 8.

Age‐standardized risk ratios (RRs) in all age groups

No. Symptom Vaccinated Unvaccinated Unadjusted Age‐standardized
Event (+) Event (−) Event (+) Event (−) RR 95% CI RR 95% CI
Lower Upper Lower Upper
1 Menstrual abnormality 3603 17,001 2309 6696 0.68 0.65 0.71 0.63 0.60 0.67
2 Menorrhagia 1142 19,427 560 8434 0.89 0.81 0.98 0.78 0.69 0.88
3 Arthralgia 1163 19,411 720 8276 0.71 0.65 0.77 0.63 0.57 0.71
4 Severe headache 1529 19,083 925 8097 0.72 0.67 0.78 0.64 0.58 0.70
5 Lassitude 1831 18,775 1037 7984 0.77 0.72 0.83 0.65 0.59 0.71
6 Exhaustion 1867 18,734 991 8028 0.82 0.77 0.89 0.71 0.65 0.78
7 Impaired consciousness 1159 19,425 723 8294 0.70 0.64 0.77 0.65 0.58 0.72
8 Abnormal visual field 324 20,256 172 8845 0.83 0.69 0.99 0.65 0.52 0.82
9 Severe photophobia 720 19,881 356 8662 0.89 0.78 1.00 0.67 0.57 0.78
10 Reduced visual acuity 919 19,670 794 8221 0.51 0.46 0.56 0.51 0.45 0.57
11 Dizziness 1836 18,759 1089 7927 0.74 0.69 0.79 0.67 0.61 0.73
12 Cold sensation in the legs 1775 18,807 1144 7873 0.68 0.63 0.73 0.57 0.52 0.62
13 Sleep disorder 1226 19,372 692 8320 0.78 0.71 0.85 0.59 0.52 0.65
14 Hypersomnolence 1936 18,632 1058 7955 0.80 0.75 0.86 0.70 0.64 0.76
15 Skin roughness 1497 19,100 1062 7950 0.62 0.57 0.66 0.58 0.52 0.63
16 Hyperpnea 536 20,075 335 8694 0.70 0.61 0.80 0.54 0.46 0.64
17 Memory impairment 559 20,054 217 8805 1.13 0.97 1.32 0.81 0.67 0.97
18 Dyscalculia 167 20,442 79 8940 0.93 0.71 1.21 0.59 0.43 0.82
19 Dyslexia 386 20,224 181 8846 0.93 0.78 1.11 0.63 0.51 0.79
20 Involuntary movement 175 20,436 58 8964 1.32 0.98 1.78 0.90 0.63 1.29
21 Walking disability 65 20,540 22 8990 1.29 0.80 2.09 0.74 0.41 1.31
22 Using a cane or wheelchair 26 20,581 16 8994 0.71 0.38 1.32 0.40 0.19 0.82
23 Sudden attack of muscle weakness 253 20,340 100 8909 1.11 0.88 1.39 0.78 0.58 1.03
24 Weakness 318 20,224 124 8862 1.12 0.91 1.38 0.94 0.72 1.22

CI, confidence interval.

Age‐stratified analysis considering the effect of the healthy user

Most of the vaccinated women in all age groups generally were considered to be healthy women because they were healthy vaccine users. The women in the 15–16 year old group had reached the age of the target population for HPV vaccination after suspension of the government recommendation. Thus, almost all the women in this age group were expected to be unvaccinated simply because they did not want to be vaccinated, not because of health issues. Given this information, it was assumed that the unvaccinated controls in the 15–16 year old group were generally healthy. In order to minimize the impact of the healthy user bias, the vaccinated cases in all age groups were compared with the unvaccinated controls in the 15–16 year old group. The ORs were significantly higher for the symptoms of memory impairment, dyscalculia, dyslexia, involuntary movement, walking disability, and a sudden attack of muscle weakness. These findings suggested that HPV vaccination might cause significant health problems, which can impair learning and have a negative impact on daily life.

Limitations of the present study and suggestions for further research

The validity of the findings from the questionnaire surveys is dependent on adequate response rates. The response rate of the Nagoya Survey was moderate, at 43% (30,793/71,177); thus, the findings of the present study should be considered in light of this limitation. Moreover, another potential limitation of the present study is that differential misreporting or misclassification bias, as well as the characteristic symptom development in a multilayered manner, were not evaluated.

Further large‐scale and well‐designed (careful consideration should be given to the characteristics of post‐HPV vaccination symptoms) cohort studies are warranted to confirm the causal relationship between HPV vaccination and the occurrence of possible adverse events, as suggested by the current exploratory analyses.

CONCLUSION

Based on this analysis using data from the Nagoya Survey, a possible association between HPV vaccination and distinct symptoms, such as cognitive impairment or movement disorders, exists. A consistent causal relationship between HPV vaccination and these symptoms remains uncertain. However, given the seriousness of the symptoms, the authors believe that a more comprehensive and large‐scale study is essential to confirm the safety of HPV vaccination.

DISCLOSURE

The authors declare no conflict of interest.

AUTHOR CONTRIBUTIONS

Y. Y. was involved in the conception, design, and analysis of this study and drafted the manuscript; H. T. supervised the whole study process and critically reviewed the manuscript. Both authors read and approved the final manuscript.

ACKNOWLEDGMENTS

The authors wish to thank Naohito Fukui (EP‐CRSU Company, Ltd., Tokyo, Japan) for assistance with analyzing the data with R.

See articles in Japan Journal of Nursing Science

DOI: https://doi.org/10.1111/jjns.12258

Letter to the editor: Safety concerns with human papilloma virus immunization in Japan: Analysis and evaluation of Nagoya City's surveillance data for adverse events

Sadao Suzuki

DOI: https://doi.org/10.1111/jjns.12275

Authors' response to letter to the editor: Safety concerns with human papilloma virus immunization in Japan: Analysis and evaluation of Nagoya City's surveillance data for adverse events

Yukari Yaju and Hiroe Tsubaki

DOI: https://doi.org/10.1111/jjns.12282

Editor's Reply to the Letter to the Editor of Dr. Suzuki

William L. Holzemer

[Correction added on 14 August 2019, after first online publication: Statement to link the related Letter to the Editor articles has been inserted for cross‐referencing purposes.]

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