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BMC Public Health

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Prevalence, genotype profile and risk factors for multiple human papillomavirus cervical infection in unimmunized female adolescents in Goiânia, Brazil: a community-based study

  • Rosane Ribeiro Figueiredo Alves1, 2, 6Email author,
  • Marília Dalva Turchi2, 3,
  • Lyana Elias Santos2,
  • Eleuse Machado de Britto Guimarães2, 3,
  • Mônica Maria Danda Garcia2,
  • Mirian Socorro Cardoso Seixas2,
  • Luisa Lina Villa4,
  • Maria Cecília Costa4,
  • Marise Amaral Rebouças Moreira5 and
  • Maria de Fátima da Costa Alves2, 3
BMC Public Health201313:1041

https://doi.org/10.1186/1471-2458-13-1041

Received: 14 March 2013

Accepted: 11 October 2013

Published: 4 November 2013

Abstract

Background

The epidemiology of infection with multiple human papillomavirus (HPV) types in female adolescents is poorly understood. The purpose of this study was to explore the epidemiology of infection with multiple HPV types in adolescents and its association with demographic, behavioral and biological variables, as well as with cytological abnormalities.

Methods

This community-based study included 432 sexually active females between 15 and 19 years of age. Genotyping for 30 HPV types was performed using a reverse blot strip assay/restriction fragment length polymorphism. Unconditional multivariate logistic regression was performed to identify factors significantly associated with HPV infection. The association between HPV infection and cytological abnormalities was calculated using a prevalence ratio.

Results

The most common HPV types detected were 16, 51, 31, 52 and 18. Of the 121 HPV-positive women, 54 (44.6%) were infected with multiple HPV types. Having more than one lifetime sexual partner was associated with infection with any HPV infection, single HPV infection, and infection with multiple HPV types. The presence of cytological abnormalities was associated with infection with multiple HPV types.

Conclusions

Co-infecting HPV genotypes occur in a high proportion of sexually active adolescents. Socio-demographic or sexual behavior factors associated with single HPV infection were similar to those associated with multiple HPV types. The higher risk of cytological abnormalities conferred by infection with multiple HPV types suggests a potential role of co-infection in the natural history of HPV infection.

Keywords

EpidemiologyMultiple HPV infectionPCR-PGMY09/11/line blot hybridization/RFLPAdolescentsfemaleCytological abnormalities

Background

Human papillomavirus (HPV) cervical infection is one of the world’s most common sexually transmitted infections, and is also a well-established cause of cervical cancer [1, 2]. The highest prevalence of single or co-infection with multiple HPV types has been found in sexually active adolescents, young women [37], and women with impaired immune responses [8].

Studies of the dynamics of multiple HPV infections suggest that the acquisition of different HPV types occurs more often than expected by chance, and shared risk factors may explain the higher frequency of co-infections [9, 10]. According to previous studies, the risk factors for cervical infection with multiple HPV types among HPV-infected women share several similarities with risk factors for HPV infection in general [6, 7]. In addition, previous studies suggest that Chlamydia trachomatis infection can provide target host cells for the acquisition of HPV and may enable persistent HPV infection [6, 11].

HPV infections and cytological abnormalities are common in adolescents, appearing shortly after the onset of sexual activity. More than 90% of HPV infections and cytological abnormalities regress within 3 years [12, 13]. Co-infection with multiple HPV types has been associated with longer infection duration and a higher risk of cytological abnormalities and cervical neoplasia [3, 1416]. However, a consensus concerning these associations has not been reached [2, 5, 17].

Data on HPV infection and cytological abnormalities in adolescents derived from non-healthcare settings are scarce, especially in South America [18, 19], and particularly in the mid-western region of Brazil [20]. The recent availability of a vaccine against HPV infection is a promising primary prevention measure to reduce the burden of cervical cancer. Therefore, a description of the genotype distribution of multiple HPV infections and the prevalence and degree of cytological abnormalities in sexually active adolescents is necessary for characterizing the target population for this vaccine as well as reinforcing the recommendation for cervical cancer screening in this age group.

The objectives of this study were to estimate the prevalence, describe the genotype profile and identify the risk factors for multiple HPV infections among healthy adolescents in the central part of Brazil, prior to the implementation of a large-scale HPV immunization program. Additionally, the study aimed to investigate the potential association between multiple HPV infections and cytological abnormalities among adolescents from a non-healthcare setting.

Methods

Study design and setting

This was a cross-sectional, community-based study. The design and population characteristics of this study have been described previously [21]. Briefly, this study was conducted between 2002 and 2003 in the Northwest sector of Goiânia, a city of 1,093,007 inhabitants in the central part of Brazil. The overall population of the Northwest sector was approximately 160,030 inhabitants. During the study period, a total of 4,091 females aged 15–19 years were registered at the local Public Family Health Program.

Study population and sampling

Households with potential participants were randomly selected from census information provided by the local health department using a systematic sampling scheme. All female adolescents in each selected household were invited by letter to attend the health center nearest to their residence. Among the 914 adolescents who accepted the invitation, 472 (51.6%) were sexually active. The adolescents were eligible if they were between 15 and 19 years of age, were not currently pregnant or postpartum, had not used oral or vaginal antimicrobial drugs in the previous 15 days and had not engaged in sexual intercourse in the previous 48 hours. In total, 432 adolescents fulfilled the requirements, answered an interviewer-administered questionnaire and had a gynecological examination.

All participants provided written informed consent to participate in the study. The study was reviewed and approved by the Ethics Committee on Human and Animal Medical Research of the University Hospital, Federal University of Goiás.

Data collection

The data were obtained through an interviewer-administered questionnaire addressing sociodemographic characteristics (age, education, marital status), tobacco smoking habits, as well as the subject’s sexual, gynecological and reproductive history, including age at menarche, age at first intercourse, interval in years between the age of first intercourse and the age of menarche, lifetime number of sexual partners, number of new sexual partners in the previous 3 months, frequency of condom use, history of full-term pregnancies and age of first pregnancy.

The cervical samples collected during the gynecological examinations were used for Papanicolaou tests, HPV and C. trachomatis DNA detection. Ectocervical and endocervical cells were collected with a cytobrush, which was then immersed in 10 mM Tris (pH 7.4 plus 1 mM EDTA), refrigerated and transported to the laboratory of Tropical Pathology and Public Health, Federal University of Goiás, and stored at −80°C until analysis to detect HPV and C. trachomatis.

C. trachomatis DNA detection was performed by PCR with primer pairs CP24 and CP27, which amplify a 207 nucleotide sequence of the cryptic plasmid. Positive and negative controls were included in each assay. An internal control was conducted in each amplification reaction to detect inhibitors. The assay was performed at the Department of Immunology, Tropical Pathology and Public Health Institute/Federal University of Goiás.

Papanicolaou smears were transported to and interpreted in the Pathology and Anatomy University Laboratory, in accordance with the 2001 Bethesda System [22]. Cytology assessments were conducted blind to the results of the exposure status.

Detection of specific HPV types by polymerase chain reaction (PCR)/reverse blot strip assay/restriction fragment length polymorphism (RFLP)

DNA was extracted using phenol chloroform and amplified using PGMY09/11 HPV specific primers that amplify a 450-bp fragment of the L1 open reading frame of genital HPV [23]. DNA typing with a reverse line blot assay (Roche Molecular Systems) permitted the identification of 27 individual genital HPV types (6, 11, 16, 18, 26, 31, 33, 35, 39, 40, 42, 45, 51, 52, 53, 54, 55, 56, 57, 58, 59, 66, 68, 73, 82, 83 and 84). The assay was performed following the manufacturer’s guidelines at the Virology Unit of the São Paulo Branch of the Ludwig Institute for Cancer Research. RFLP analysis of the same 450-bp PCR fragment was also undertaken for some specimens [24]. DNA isolated from HPV-16 positive SiHa cells was used as a positive control, while negative controls were included to monitor potential PCR contamination. To confirm the integrity of the DNA material extracted from the specimens, assays included an additional set of primers (GH20 and PC04) to amplify a 268-bp region of the β-globin gene.

Sample size and statistical analysis

A sample size of 430 participants was calculated to provide enough power to estimate a 10% prevalence of multiple HPV infections, with a precision of 3.0% and confidence interval of 95%, with a design effect of 1.2.

The prevalence of single HPV infection and multiple HPV infections (detection of more than one HPV type per sample) and their respective 95% confidence intervals (CIs) were calculated. Socio-demographic and sexual behaviors variables that were normally distributed were presented as mean and standard deviation (sd) and were categorized based on their mean values. Variables that were asymmetrically distributed were presented as median and interquartile range (IQR, Q1–Q3). Dichotomization of asymmetric variables was based on their median value. Years of schooling were dichotomized at 8 years, corresponding to the elementary Brazilian school period.

Potential risk factors for HPV infection were assessed using univariate and multivariate logistic regression analyses. Three different outcomes were analyzed: any HPV infection, single HPV infection, or infection with multiple HPV types. The three outcomes were each compared with non-infected participants, by calculating unadjusted and adjusted odds ratios (ORs) with respective 95% CIs. Variables with p < 0.20 in univariate analysis were included in multivariate models. Participants’ age was included in all models as a continuous variable, because age could be a confounding factor for HPV infection.

The association between HPV infection and cytological abnormalities was calculated using prevalence ratios and respective 95% CIs. All analyses were conducted with SPSS, version 16 for Windows. Differences were considered to be statistically significant when p < 0.05.

Results

Baseline characteristics

In total, 432 adolescents fulfilled the inclusion criteria and were interviewed. The participants’ mean age was 17.2 years, with a standard deviation of 1.3 years; approximately 88.0% were from low income families, 67.4% were unmarried, 57.3% reported 8 years of schooling or less, and 11.6% reported tobacco use. First sexual intercourse occurred at or before 15 years of age for 61.1% of the adolescents in this study. Almost 80.0% of participants reported inconsistent use of condoms by their partners and 46.0% reported more than one lifetime sexual partner. Furthermore, 41.7% of participants reported a previous pregnancy, with 19.0% conceiving before they were 15 years old (Table 1).
Table 1

Characteristics of participants

Characteristics

Values

Age (years)

 

 Range

15 to 19

 Mean (sd)

17.2 (1.3)

Education (years) a

 

 ≤ 8 years (%)

247 (57.3)

 > 8 years (%)

184 (42.7)

Marital status

 

 Unmarried (%)

291 (64.4)

 Married (%)

141(35.6)

Family income (minimum wages)b

 

 ≤ 4 (%)

359 (88.0)

 > 4 (%)

49 (12.0)

Smoking

 

 Yes (%)

50 (11.6)

Age at menarche (years)

 

 Range

9 to 17

 Mean (sd)

12.5 (1.3)

Age at first intercourse (years)

 

 Range

10 to 19

 Mean (sd)

15.1 (1.5)

Number of lifetime sexual partners

 

 Range

1 to 20

 Median (IQR Q1-Q3)

1 (1–3)

New sexual partner in past 3 months

 

 Yes (%)

63 (14.6)

Number of sexual partner in past 3 months

 

 Range

1 to 5

 Median (IQR Q1-Q3)

1 (1–1)

Condom use

 

 Never/occasional (%)

345 (79.9%)

 Always (%)

87 (20.1)

History of full-term pregnancies

 

 Yes (%)

180 (41.7)

Age at first full-term pregnancy (years) c

 

 Range

12 to 19

 Mean (sd)

15.6 (1.4)

Chlamydia trachomatis infection (%)

60 (13.9)

Cytological abnormalities

 

 Overall (%)

67 (15.4)

 ASC-US (%)

46 (10.6)

 LGSIL (%)

20 (4.6)

 ASC-H (%)

1 (0.2)

sd: Standard deviation; IQR, Q1-Q3 interquartile range; a one adolescent without information; b 24 adolescents without information; MW = 334 US$; c four adolescents without information; ASCUS: atypical squamous cells of undetermined significance; ASC-H, atypical squamous cells cannot exclude high-grade intraepithelial lesion; LGSIL: low-grade squamous intraepithelial lesion.

The prevalence of C. trachomatis infection was 13.9% (95% CI: 10.8–17.6). The prevalence of cytological abnormalities was 15.4% (95% CI: 12.3–19.4), with atypical squamous cells of undetermined significance occurring in 10.6% (95% CI: 8.0–14.0), low-grade squamous intraepithelial lesion occurring in 4.6% (95% CI: 2.9–7.2) and atypical squamous cells cannot exclude high-grade intraepithelial lesion occurring in 0.2% (95% CI: 0.0–1.5) of adolescents. No participant had high-grade squamous intraepithelial lesion or “atypical” glandular cells (Table 1).

Prevalence and classification of HPV infection

HPV DNA was detected in cervical specimens of 121 of the 432 adolescents, resulting in an overall prevalence of 28.0% (95% CI: 23.9–32.5; Table 2). The number of HPV types detected per specimen ranged from 0 to 5. Among the 121 HPV-infected participants, a single type of HPV infection was detected in 67 individuals, whereas multiple HPV types were detected in 54 adolescents (54/432; 12.5%), representing 44.6% of the positive samples (Table 2).
Table 2

HPV prevalence in participants from central Brazil

 

HPV positive participants

Multiple HPV positive participants

n

% (95% CI)

n

% (95% CI)

HPV

121

28.0 (23.9-32.5)

54

100

One HPV type

67

15.5 (12.3-19.4)

-

-

Multiple HPV types

54

12.5 (9.6-16.1)

-

-

HR-HPV

107

24.8 (20.8-29.2)

53

98.1 (90.1-100.0)

LR-HPV

32

7.4 (5.2-10.4

19

5.8 (3.6-9.0)

HPV 16

29

6.7 (4.6-9.6)

21

38.9 (25.9-53.1)

HPV 51

22

5.1 (3.3-7.7)

18

33.3 (21.1-47.5)

HPV 31

20

4.6 (2.9-7.2)

12

22.0 (12.0-35.6)

HPV 52

18

4.2 (2.6-6.6)

10

18.5 (9.3-31.4)

HPV 18

15

3.5 (2.0-5.8)

12

22.2 (12.0-35.6)

HPV 53

11

2.5 (1.3-4.6)

11

20.4 (10.6-36.5)

HPV 58

10

2.3 (1.2-4.4)

8

14.8 (6.6-27.1)

HPV 39

9

2.1 (1.0-4,1)

8

14.8 (6.6-27.1)

HPV 6

7

1.6 (0.7-3.5)

6

11.1 (4.2-22.6)

HPV 45

6

1.4 (0.6-3.2)

1

1.9 (0.0-9.9)

HPV 66

6

1.4 (0.6-3.2)

3

5.6 (1.2-15.4)

HPV 73

6

1.4 (0.6-3.2)

2

3.7 (0.5-12.7)

HPV 42

5

1.2 (0.4-2.8)

3

5.6 (1.2-15.4)

HPV 54

5

1.2 (0.4-2.8)

2

3.7 (0.5-12.7)

HPV 26

4

0.9 (0.3-2.5)

2

3.7 (0.5-12.7)

HPV 33

4

0.9 (0.3-2.5)

3

5.6 (1.2-15.4)

HPV 56

4

0.9 (0.3-2.5)

2

3.7 (0.5-12.7)

HPV 68

4

0.9 (0.3-2.5)

3

5.6 (1.2-15.4)

HPV 40

3

0.7 (0.2-2.2)

1

1.9 (0.0-9.9)

HPV 84

3

0.7 (0.2-2.2)

3

5.6 (1.2-15.4)

HPV 35

2

0.5 (0.1-1.8)

2

3.7 (0.5-12.7)

HPV 70

2

0.5 (0.1-1.8)

0

-

HPV 55

2

0.5 (0.1-1.8)

1

1.9 (0.0-9.9)

HPV 61

2

0.5 (0.1-1.8)

0

-

HPV 62

2

0.5 (0.1-1.8)

2

3.7 (0.5-12.7)

HPV 59

1

0.2 (0.0-1.5)

1

1.9 (0.0-9.9)

HPV 82

1

0.2 (0.0-1.5)

1

1.9 (0.0-9.9)

HPV 11

1

0.2 (0.0-1.5)

0

-

HPV 89

1

0.2 (0.0-1.5)

1

1.9 (0.0-9.9)

HPV 44

1

0.2 (0.0-1.5)

0

-

HPV: human papillomavirus; CI: confidence interval; n: number of participants; HR-HPV: high-risk HPV; LR-HPV: low-risk HPV.

Thirty different HPV types were detected; nineteen types were high-risk (HR)-HPV (16, 18, 26, 31, 33, 35, 39, 45, 51, 52, 53, 54, 56, 58, 66, 68, 70, 73 and 82), and 11 were low-risk (LR)-HPV types (6, 11, 40, 42, 44, 54, 55, 61, 62, 84, 89), according to the International Committee on the Taxonomy of Viruses [25]. Figure 1 shows the absolute frequency of the 30 different HPV types detected. These types were stratified by multiple (black bars) and by single (gray bars) infection (Figure 1). The prevalence of HR-HPV was 24.8% (CI: 20.8–29.2), which was higher than the LR-HPV type prevalence (Table 2).
Figure 1

Absolute frequency of the 30 HPV types detected as single and multiple HPV infections (HPV: human papillomavirus; *oncogenic types; dark bars represent multiple HPV types; dotted bars represent a single HPV type).

The most prevalent HPV types were 16, 51, 31, 52 and 18, and the most common HPV types detected in multiple infections included 16, 51, 18, 31 and 52. The most common HPV type detected in single or multiple infections was HPV-16; HPV-6 was the most common LR-HPV detected (Figure 1). The prevalence of either HR-HPV type that is present in bivalent vaccines (HPV types 16 and 18) was 10.2%, while 12% of adolescents were infected with one of the types included in the quadrivalent vaccine (HPV types 6, 11, 16 and 18). After using both HPV DNA detection assays, only one specimen had an unclassified HPV type.

Risk factors for HPV infection

Three different outcomes were analyzed: any HPV infection, infection with a single HPV type, and infection with multiple HPV types. The three outcomes were each compared to participants with no infections. The associations between baseline variables and HPV infection, as well as the results of the multivariate analyses for all variables retained in the final regression models, are presented in Tables 3, 4 and 5.
Table 3

Factors associated with HPV infection

Variables

HPV infection

Total

(%)

OR (IC 95%)

p

Adjusted OR IC95%

p

Age (years)

       

 ≤ 17

69

237

29.1

1.1 (0.7 – 1.7)

0.57

-

-

 > 17

52

195

26.7

    

Education (years)a

       

 ≤ 8

79

247

32.0

1.6 (1.0-2.5)

0.02

1.2 (0.6-2.2)

0.54

 > 8

41

184

22.3

    

Marital status

       

 Unmarried

93

291

32.0

1.9 (1.2-3.0)

<0.01

1.1 (0.5-2.1)

0.76

 Married

28

141

19.9

    

Smoking

       

 Yes

22

50

44,0

2.2 (1.2-4.1)

<0.01

1.7 (0.8-3.7)

0.15

 No

99

382

25,9

    

Age at first intercourse (years)

       

 10–15

80

264

30.3

1,3 (0,9-2,1)

0.18

0.8 (0.4-1.6)

0.59

 16-19

41

168

24.4

    

Age at menarcheb (years)

       

 13–17

56

207

27.1

0.9 (0.6-1.4)

0.70

-

-

 9-12

64

223

28.7

    

Condom use

       

 Never/occasional

98

345

28.4

1.1 (0.6-1.8)

0.71

-

-

 Always

23

87

26.4

    

Number of lifetime sexual partners

       

 > 1

88

199

44.2

4.8 (3.0-7.6)

<0,001

4.9 (2.5-9.5)

<0.01

 1

33

233

14.2

    

New sexual partner in past 3 months

       

 Yes

21

63

33.3

1.3 (0.7-2.4)

0.30

-

-

 No

100

369

27.1

    

Number of sexual partner in past 3 months

       

 > 1

12

21

57.1

3.7 (1.5-9.0)

<0.01

1.2 (0.3-4.2)

0.80

 ≤ 1

109

411

26.5

    

Age at first full-term pregnancy (years) c

       

 No

70

252

27.8

1

0.31

-

-

 < 15

25

82

30.5

1.1 (0.6-1.9)

0.34

-

-

 ≥ 15

24

94

25.5

0.9 (0.5-1.5)

   

C. trachomatis infection

       

 Yes

23

60

38.3

1.7 (1.0-3.1)

0.05

1.0 (0.5-2.2)

0.96

 No

98

372

26.3

    

HPV: Human papillomavirus; OR: odds ratio; CI: confidence interval; C. trachomatis: Chlamydia trachomatis. a one without information; b two without information; c Four without information. The variables “Education”, “Marital status”, “Smoking”, “Age at first intercourse”, “Number of lifetime of sexual partners” and the “Number of sexual partners in the past 3 months” were included in the multivariate model. The odds ratios have been adjusted for age as a continuous variable.

Table 4

Factors associated with single HPV infection

Variables

Single HPV infection

Total

(%)

OR (IC 95%)

p

Adjusted OR IC95%

p

Age (years)

       

 ≤ 17

37

205

18.0

1.0 (0.6-1.8)

0.48

-

-

 > 17

30

173

17.3

    

Education (years)a

       

 ≤ 8

41

209

19.6

1.4 (0.8-2.4)

0.11

1.1 (0.6-2.1)

0.70

 > 8

25

168

14.8

    

Marital status

       

 Unmarried

48

246

19.5

1.4 (0.8-2.6)

0.13

1.3 (0.6-2.8)

0.48

 Married

19

132

14.4

    

Smoking

       

 Yes

14

42

33.3

2.7 (1.3-5.4)

<0.001

1.4 (0.6-3.2)

0.37

 No

53

336

15.8

    

Age at first intercourse (years)

       

 10–15

44

228

19.3

1.3 (0.7-2.3)

0.19

0.8 (0.4-1.6)

0.53

 16-19

23

150

15.3

    

Age at menarchea (years)

       

 13–17

29

180

16.1

0.8 (0.5-1.4)

0.21

-

-

 9-12

38

197

19.2

    

Condom use

       

 Never/occasional

52

299

17.4

0.9 (0.5-1.7)

0.42

-

-

 Always

15

79

19.0

    

Number of lifetime sexual partners

       

 > 1

18

218

8.2

2.9 (1.6-5.5)

<0.001

4.7 (2.4-9.1)

<0.001

 1

49

160

30.6

    

New sexual partner in past 3 months

       

 Yes

8

50

16.0

0.8 (0.4-1.9)

0.37

-

-

 No

59

328

18.0

    

Number of sexual partner in past 3 months

       

 > 1

12

61

7.4

1.2 (0.6-2.3)

0.32

-

-

 ≤ 1

55

317

17.3

    

Age at first full-term pregnancy (years) b

       

 No

34

216

15.7

1

0.12

1

0.81

 < 15

19

89

21.3

1.4 (0.7-2.7)

0.36

0.8 (0.3-1.9)

0.63

 ≥ 15

12

69

17.4

1.1 (0.5-2.3)

 

0.6 (0.2-1.4)

 

C. trachomatis infection

       

 Yes

11

48

22.9

1.4 (0.7-3.0)

0.27

-

-

 No

56

330

16.9

    

HPV: Human papillomavirus; OR: odds ratio; CI: confidence interval; C. trachomatis: Chlamydia trachomatis. a one without information; b Four without information. The variables “Education”, “Marital status”, “Smoking”, “Age at first intercourse”, “Number of lifetime of sexual partners” and the “Age at first full-term pregnancy” were included in the multivariate model. The odds ratios have been adjusted for age as a continuous variable.

Table 5

Factors associated with multiple HPV infection

Variables

Multiple HPV infection

Total

(%)

OR (IC 95%)

p

Adjusted OR IC95%

p

Age (years)

       

 ≤ 17

32

200

16.0

1.3 (0.7-2.2)

0.28

-

-

 > 17

22

165

13.3

    

Education (years)

       

 ≤ 8

38

206

18.4

2.0 (1.1-3.8)

0.02

1.8 (0.8-3.7)

0.11

 > 8

16

159

10.0

    

Marital status

       

 Unmarried

45

243

18.5

2.8 (1.3-6.0)

0.006

2.2 (0.8-5.6)

0.10

 Married

9

122

7.4

    

Smoking

       

 Yes

8

36

22.2

1.7 (0.7-4.1)

0.19

0.9 (0.3-2.3)

0.82

 No

46

329

14.0

    

Age at first intercourse (years)

       

 10–15

36

220

16.3

1.4 (0.7-2.5)

0.30

-

-

 16-19

18

145

12.4

    

Age at menarchea (years)

       

 13–17

27

78

15.1

1.1 (0.6-1.9)

0.76

-

-

 9-12

26

185

14.0

    

Condom use

       

 Never/occasional

46

293

15.7

1.5 (0.7-3.3)

0..32

-

-

 Always

8

72

11.1

    

Number of lifetime sexual partners

       

 > 1

39

150

26.0

4.7 (2.4-8.9)

<0.001

3.7 (1.8-7.5)

<0.001

 1

15

215

7.0

    

New sexual partner in past 3 months

       

 Yes

13

55

23.6

2.0 (1.0-4.1)

0.04

0.6 (0.2-1.9)

0.42

 No

41

310

13.2

    

Number of sexual partner in past 3 months

       

 > 1

8

17

47.0

5.5 (2.1-15.9)

0.001

0.3 (0.1-1.1)

0.07

 ≤ 1

46

348

13.2

    

Age at first full-term pregnancy (years) a

       

 No

36

218

16.5

1

-

1

0.40

 < 15

13

70

18.6

1.1 (0.6-2.3)

0.34

0.6 (0.3-1.6)

0.35

 ≥ 15

5

75

6.7

0.3 (0.1-0.9)

0.01

1.7 (0.5-5.7)

 

C. trachomatis infection

       

 Yes

12

49

 

2.1 (1.0-4.4)

0.04

1.4 (0.6-3.2)

0.36

 No

42

316

     

HPV: Human papillomavirus; OR: odds ratio; CI: confidence interval; C. trachomatis: Chlamydia trachomatis. a two without information. The variables “Education”, “Marital status”, “Smoking”, “Number of lifetime of sexual partners”, “New sexual partner in past 3 months”, “Number of sexual partner in past 3 months”, “Age at first full-term pregnancy”, and “C. trachomatis infection” were included in the multivariate model. The odds ratios have been adjusted for age as a continuous variable.

Having a number of lifetime sexual partners greater than one was associated with a higher risk of any HPV infection (adjusted OR: 4.9 [95% CI: 2.5–9.5]) (Table 3), single HPV infection (adjusted OR: 4.7 [95% CI: 2.4–9.1]) (Table 4), and multiple HPV infection (adjusted OR: 3.7 [95% CI: 1.8–9.5]) (Table 5).

Risk factors for cytological abnormalities

The prevalence ratio for cytological abnormalities between samples from adolescents infected with either one or multiple HPV types was calculated. Participants were categorized into either “negative for intraepithelial lesion or malignancy” or “epithelial cell abnormalities.” Participants with positive HPV results were then classified into non-overlapping categories, and the impact of multiple infections on cytological abnormalities (excluding HPV 16) was analyzed (Table 6). The prevalence ratio was 2.1 (95% CI: 1.1–4.0) for cytological abnormalities associated with a single HPV type, and was 6.4 (95% CI: 4.1–10.0) for multiple HPV types. The prevalence ratio when all adolescents infected with HPV-16 were excluded was 2.2 (95% CI: 1.3–4.3) for a single HPV type and 6.2 (95% CI: 3.7–7.1) for multiple HPV types.
Table 6

Association between cytological abnormalities and HPV infection (n = 432)

 

Cytological abnormalities

PR (95% CI)

p

Positive

Total

HPV infection

    

 Negative

26

311

-

-

 One type

12

67

2.1 (1.1-4.0)

0.02

 Multiple types

29

54

6.4 (4.1-10.0)

<0.01

HPV infection without HPV-16

    

 Negative

26

311

-

-

 One

11

59

2.2 (1.2-4.3)

0.03

 Multiple types

17

33

6.2 (3.7-10.1)

<0.01

HPV: human papillomavirus; n: number; PR: prevalence ratios.

Discussion

This community-based study investigated patterns of HPV infection in exfoliated cells from Brazilian adolescents according to HPV types. This study confirmed the high prevalence of HPV infection in sexually active adolescents. Moreover, it reaffirms the high rate of multiple HPV types, which agrees with previous studies involving sexually active adolescents and young women [4, 6, 14, 26, 27].

HR-HPV types were the most common HPV types detected (88.4%), and they were similar to the HPV types described in other studies [6, 8, 26, 27]. HPV-16, in particular, was the most common type detected in cases of both single and multiple infections. The distribution of other HPV types differed from previous studies [4, 26, 27]. In the present study, HPV-18 was the fifth most prevalent type, behind types 16, 51, 31 and 52. More than one-third (36.4%) of HPV-positive specimens exhibited HPV-16/18 dual infection. Differences in the prevalence and distribution of the individual HPV types may be explained by the use of different methods used to detect HPV, variability in the clinical specimens used, the age of the participants and regional variation in the distribution of the types.

The HR-HPV types were detected in 80.6% of all single-type infections, and in 98% of all multiple-type infections. The high prevalence of multiple HPV types may be because high-risk types are more likely to cause persistent infections than low-risk types [4, 12]. Furthermore, the high prevalence of multiple HPV types may be related to the increasing levels of estrogen exposure during pubertal development. Previous studies suggest that the increased levels of estrogen may modulate the immune response and facilitate cervical ectropion and squamous metaplasia, both of which add to the biological susceptibility of the uterine cervix [28, 29].

The present study correlated HPV infection with the number of prior sexual partners, which produced results consistent with previously published reports [6, 7, 26], emphasizing once more the importance of sexual transmission. The highest prevalence of single or co-infection with multiple HPV types has been found in sexually active adolescents and young women [37]. However, it is uncertain whether the presence of multiple HPV types in adolescents is due to behavioral characteristics or whether adolescents with multiple HPV types possess certain intrinsic biological characteristics that increase susceptibility. The present study shows that the risk factors for multiple HPV infection were similar to the risk factors for any HPV infection and single HPV infection, which agrees with previous studies of sexually active adolescents and young women [6, 7]. However, the cross- sectional design of this study will not be able to adequately answer that if the risk factors for multiple HPV infection were distinct from risk factors for any HPV infection. Indeed, HPV infections in sexually active teenagers come and go. Those classified as “single infection” during this study may well have had a multiple infections a few weeks prior, and vice versa.

The role of multiple HPV infections in cervical carcinogenesis is still controversial. Some studies have reported an association between multiple HPV infections and a higher risk of cytological abnormalities and cervical neoplasia [1416], although these findings are not consistent [2, 5, 17], and these correlations are not associated with viral persistence, compared with infection due to one HPV type [9, 17]. The present study shows a significant association between cytological abnormalities and detection of both single and multiple HPV types; however, this association was significantly stronger for infections with multiple HPV types, as reported in other studies [14, 15].

This association could be explained by the elevated prevalence of HR-HPV types detected in samples with multiple infections in this study. HR-HPVs are often present as persistent infections, representing the main risk factor for the development of lesions [12]. However, there is some evidence that infection with multiple HPV types confers an increased risk for the development and/or progression of lesions, regardless of the persistence of HPV infections [15]. In contrast, the low-grade cytological abnormalities found in this study may reflect the viral load resulting from productive infections, many of which tend to regress over time, thereby resulting in less clearly identifiable lesions. Additionally, the excess risk of cytological abnormalities resulting from multiple infections remained even after excluding the adolescents who harbored HPV-16, a similar finding to the Ludwig-McGill cohort study [15]. The smaller sample size for multiple HPV infection, without those with HPV-16, may have limited the power of the study to detect large differences.

A potential limitation of this investigation was the reliance on cytological samples of cervical lesions without corresponding biopsy results. The cytological screening interpretation presents known problems with specimen collection, smear preparation and inter-observer reproducibility in all cytological categories [30, 31]. The US multicenter clinical trial, “ASCUS-LSIL Triage Study” (ALTS), showed that inter-observer reproducibility of cytological interpretation of a large series of specimens was only moderate and the greatest source of disagreement involved interpretation of atypical squamous cells of undetermined significance (ASC-US), of which 37% were HPV positive [30]. In the present study, 61.0% of samples with cytological abnormalities and 47.8% of ASC-US samples were positive for HPV. This reflects careful cytological assessment in a reference laboratory following strict quality control guidelines. This strategy was adopted to avoid unnecessary biopsies for lesions that have a higher potential for spontaneous regression.

Another potential limitation of this study was the estimation of prevalence by cross-sectional detection of type-specific HPV infections, which may underestimate the cumulative cytological abnormalities resulting from exposure to different HPV types over time. Furthermore, this investigation relied on the accuracy of the memories of subjects for precise information about their sexual and reproductive history.

Conclusions

The detection of any, single or multiple HPV types in cervical specimens of adolescents was associated with the number of lifetime sexual partners. These findings also show that in adolescents, infection with multiple HPV types is associated with the development of more cervical cytological abnormalities than infection with a single HPV type.

By providing data on the epidemiology of HPV infection with multiple HPV types in adolescents, these results may inform the planning and the interpretation of models evaluating the impact and cost effectiveness of vaccines. These estimates, obtained prior to the introduction of HPV vaccination, provide a baseline for monitoring and surveillance of the effectiveness of this primary prophylactic intervention in vaccinated and unvaccinated adolescents. The high rate of HPV detection in adolescents emphasizes the advantages of early vaccination, prior to the onset of sexual activity. Furthermore, the high prevalence of minor cytological abnormalities, which tend to regress with time, reinforces the recommendation not to include teenagers in cervical cytology screening programs. Although most cytological abnormalities in adolescents may regress over time, there is a need for longitudinal studies to assess the cumulative influence of infection with multiple HPV types in the progression of cervical lesions with increasing age.

Abbreviations

AGC: 

Atypical glandular cells

ASC-US: 

Atypical squamous cells of undetermined significance

ASC-H: 

Atypical squamous cells, cannot exclude high-grade intraepithelial lesion

CI: 

Confidence interval

HGSIL: 

High-grade squamous intraepithelial lesion

HPV: 

Human papillomavirus

HR-HPV: 

High-risk HPV

LGSIL: 

Low-grade squamous intraepithelial lesion

LR-HPV: 

Low-risk HPV

OR: 

Odds ratio

PCR: 

Polymerase chain reaction

RFLP: 

Restriction fragment length polymorphism

sd: 

Standard deviation.

Declarations

Acknowledgements

The study was supported by the Brazilian Ministry of Health – Coordenação Nacional de DST/Aids-UNESCO (Project 670/01). The authors are also grateful to the Health Secretary of the city of Goiânia, and to the staff of the Family Health Program, especially the community health workers of the Northwest Health Sector of Goiânia.

Turchi MD has a scholarship from The Brazilian Research Council (Bolsista de Produtividade CNPq no 306928/2010-8) and she is also a research member of the National Institute for Health Technology Assessment, Brazil (IATS).

Authors’ Affiliations

(1)
Department of Obstetrics and Gynecology, School of Medicine, Federal University of Goiás
(2)
Institute of Tropical Pathology and Public Health Federal University of Goias, Postgraduate Studies Program
(3)
Division of Adolescent Medicine, Department of Pediatrics, School of Medicine, Federal University of Goiás
(4)
Department of Radiology and Basic Oncology, School of Medicine, University of São Paulo and Center for Translational Investigation in Oncology, ICESP
(5)
Department of Pathology, Radiology and Diagnostic Imaging. School of Medicine, Federal University of Goiás
(6)
Rua 235 S/N Setor Universitário

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  32. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/13/1041/prepub

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© Figueiredo Alves et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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