Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Association between pubic hair grooming and prevalent sexually transmitted infection among female university students

  • Jamie Luster,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Division of Epidemiology, College of Public Health, Ohio State University, Columbus, Ohio, United States of America

  • Abigail Norris Turner,

    Roles Conceptualization, Methodology, Writing – review & editing

    Affiliation Division of Infectious Diseases, College of Medicine, Columbus, Ohio, United States of America

  • John P. Henry Jr.,

    Roles Data curation, Project administration, Writing – review & editing

    Affiliation Clinical Health Division, Columbus Public Health, Columbus, Ohio, United States of America

  • Maria F. Gallo

    Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing

    gallo.86@osu.edu

    Affiliation Division of Epidemiology, College of Public Health, Ohio State University, Columbus, Ohio, United States of America

Association between pubic hair grooming and prevalent sexually transmitted infection among female university students

  • Jamie Luster, 
  • Abigail Norris Turner, 
  • John P. Henry Jr., 
  • Maria F. Gallo
PLOS
x

Abstract

Recent findings have suggested an association between pubic hair grooming and self-reported history of sexually transmitted infection (STI), specifically gonococcal infection (GC), chlamydial infection (CT), or human immunodeficiency virus (HIV). We evaluated the association between self-reported extreme grooming and laboratory-confirmed prevalence of GC/CT. Between April 2017 and April 2018, we enrolled English-speaking, adult, female students at a large, Midwestern university who presented on-campus for STI testing. Participants completed a questionnaire on demographics and sexual and grooming behaviors, which was linked to their GC/CT test results based on nucleic acid amplification testing. We defined extreme grooming as removal of all pubic hair either at least weekly in the past 12 months or ≥6 times in the past 30 days. We used two separate logistic regression models to determine whether odds of GC/CT varied by extreme groomer status for either time interval. In the study sample of 214 women, prevalence of GC/CT was 9.8%. Nearly all participants (98.1%) reported ever grooming; 53.6% were extreme groomers in the past year and 18% in the past month. Extreme grooming was not associated with prevalent GC/CT in the past year (odds ratio [OR] = 0.8; 95% confidence interval [CI]: 0.3–1.9; adjusted OR = 0.7; 95% CI: 0.3–2.0) or in the past month (OR = 0.5; 95% CI: 0.1–2.0; aOR = 0.4; 95% CI: 0.1–1.9). Pubic hair grooming was common among female university students attending for STI testing. Findings do not support pubic hair grooming as an STI risk factor in this population.

Introduction

Sexually transmitted infections (STIs) are prevalent in the U.S. and can have lifelong consequences if untreated [1]. Gonococcal (GC) and chlamydial infection (CT) are the most common STIs in the U.S., and their rates have been increasing since 2013. Young women 15–24 years of age have the highest incidence of GC and CT compared to other sex and age groups in the U.S. [1]. In 2017, the rate of GC infection was 557.4 per 100,000 women 15–19 years of age and 684.8 per 100,000 women 20–24 years of age. The corresponding CT rates were 3,265.7 and 3,985.8 per 100,000 women 15–19 years and 20–24 years of age, respectively [2]. Risk factors for STI among young adults include high number of sexual partners or high sexual frequency, identifying as a racial, ethnic, or sexual minority, experiencing forced or transactional intercourse, or being incarcerated, or of low socioeconomic status [1,3,4].

A recent analysis suggested a possible association between pubic hair grooming and self-reported history of STI, specifically a combined outcome of GC, CT, or human immunodeficiency virus (HIV) [57]. Pubic hair grooming, defined as trimming or removal of some or all hair in the genital region, is common in both women and men in the U.S. [8,9]. Grooming is most prevalent among young, white, adult women with high levels of income and education [8]. The potential mechanism of exposure between pubic hair grooming and GC, CT, and HIV is unknown. Pubic hair grooming could lead to increased STI risk via the sharing of grooming tools with an infected individual; however, fomite transmission of GC or CT has never been documented [7]. Grooming–especially frequent grooming and removal of all pubic hair–can cause injury [10]. The process of stripping away pubic hair could cause microtrauma in the skin’s mucocutaneous barrier, thereby facilitating pathogen entry and transmission [11]. Alternatively, the observed relationship between grooming and STI could be due to confounding. For example, individuals who groom more frequently might have more sex, thereby resulting in greater exposure to STI. Furthermore, young age is associated with risk of STI as well as with pubic hair grooming [1,4,7].

Materials and methods

Our study objective was to evaluate the association between self-reported extreme grooming and laboratory-confirmed prevalence of GC/CT among female university students presenting at one of two walk-in STI testing sites on the campus of a large, Midwestern university from April 2017 to April 2018. Eligible study participants were female, at least 18 years of age, spoke and read English, and presented for GC/CT testing. Using an electronic tablet with REDCap [12], participants completed a questionnaire on demographics, sexual behavior, STI risk factors, and pubic hair grooming. The questions were adapted from previous research to maximize comparability of results [6]. Only women who provided written consent were enrolled into the study, and The Ohio State University Biomedical Institutional Review Board approved the research.

Independent variable

Our main exposure was a binary yes/no variable for extreme grooming within the past 12 months. Extreme grooming was defined as responding either “Weekly” or “Daily” to the question, “In the past 12 months, which best describes how often you have removed all of your pubic hair?” Non-extreme groomers were defined as participants who responded “Monthly,” “Less than 12 times,” or “Never.” As a sensitivity analysis, we used an alternative dichotomous variable for extreme grooming in the past 30 days based on responding either “11+ times” or “6–10 times” to “In the past 30 days, how often have you removed all of your pubic hair?” Non-extreme groomers for this measure were those who responded "2–5 times,” “1 time,” or “Never.”

Dependent variable

Urine samples for GC/CT testing were collected at study sites by trained test counselors affiliated with the university and were sent to a nearby health department for processing and testing using the Aptima Combo 2® assay (Hologic, Marlborough, MA). We linked STI test results with questionnaire records using unique participant study identification numbers. We created a binary variable to describe whether a participant tested positive for GC/CT (either or both infections vs. neither).

Confounders

Possible correlates of both pubic hair grooming and STI were identified based on existing literature [3,4,7,8,13] and through the creation of a directed acyclic graph (DAG) (Fig 1). The DAG illustrates correlates that are potential confounders of the relationship between grooming and STI, that is, the variables that were associated with both the exposure and the outcome but were not on the hypothesized causal pathway. Potential confounders were sexual frequency, parent/guardian income, current year in university, and race.

thumbnail
Fig 1. Directed acyclic graph.

The minimally sufficient adjustment set includes the variables frequency of sex, income, race, and year in school.

https://doi.org/10.1371/journal.pone.0221303.g001

Analysis

We calculated descriptive statistics for all demographic variables (i.e., race, parental/guardian income, year in school, relationship status, and sexual orientation and identity), sexual activity and grooming. We used separate logistic regression models to determine whether GC/CT status varied by extreme groomer status 1) within the past 12 months or 2) within the past 30 days. We used manual backward selection by adding all variables identified as potential confounders from the DAG (Fig 1) (i.e., sexual frequency, parental/guardian income, grade level, and race) to the regression model, removing them one at a time, and then examining whether their removal changed the magnitude of the resulting odds ratio for the association between grooming and STI. If a variable changed the odds ratio 10% or more, it was retained in the model as a confounder. We also fit a full model that adjusted for all confounders identified in directed acyclic graph. Sexual frequency was divided into three categories: weekly or more often, less often than weekly but more often than monthly, and monthly or less often. Annual parental/guardian income was categorized as less than $30,000, $30,000 to less than $60,000, $60,000 to less than $100,000, or $100,000 or greater. For year in school, respondents were categorized by year (1st through 5th or greater). We created three categories for race: white, Black, and other, including Asian, American Indian, Native Hawaiian, more than one race, and those who selected “other” race. The sample size was insufficient to stratify race into more distinct categories. We used SAS (Statistical Analysis System; version 9.4; SAS Institute; Cary, NC) to conduct all analyses.

Results and discussion

Participants

Overall, 249 female students enrolled in the study. We excluded participants who completed the questionnaire but failed to complete STI testing (n = 10) and those for whom we were unable to link questionnaire and STI test results (n = 18). The inability to link data could have resulted from participants providing different names to study staff and STI testing staff or from participants leaving the site before giving a specimen for STI testing. Finally, we excluded participants with testing encounter dates that differed from their questionnaire date (n = 4) and those who failed to complete the questionnaire (n = 3). The final analysis population consisted of the remaining 214 participants.

In a sensitivity analysis, we used exact chi-squared tests for categorical variables and Wilcoxon rank-sum tests for continuous variables to compare demographic characteristics and sexual behaviors of participants with STI data versus those who were excluded from the analysis for missing STI data (S1 Table). Only one factor statistically significantly differed between the two groups: participants included in the analysis had a mean of 4.3 partners (SD = 4.0) while excluded participants had a mean of 3.4 partners (SD = 3.6; p = 0.03).

Most women in the analysis population were white (75.2%), single (72.0%), and reported a parental or guardian income of $60,000 or greater (81.4%; Table 1). The mean age of participants was 20.7 years (standard deviation = 1.7). Nearly all respondents had ever had vaginal, oral, or anal sex (99.5%). Prevalence of GC/CT infection was 9.8% in the study population. Two participants tested positive for GC, 19 tested positive for CT, and none tested positive for both infections. Nearly all participants reported ever grooming their pubic hair in their lifetime (n = 209, 98.1%).

thumbnail
Table 1. Demographic characteristics and sexual behaviors among female university students attending for sexually transmitted infection testing.

https://doi.org/10.1371/journal.pone.0221303.t001

Among those who reported ever grooming, 112 (53.6%) were extreme groomers within the past year, defined as removal of all pubic hair weekly or daily within the past 12 months. Thirty-eight (18.0%) participants were extreme groomers within the past month, defined as removal of all pubic hair 6 or more times within the past 30 days. Most respondents reporting using a non-electric blade razor to groom most often (82.9%), either with soap (41.7%) or with shaving cream (41.2%). Nearly two-thirds (63.3%) had ever had a grooming injury, and the mean number of lifetime grooming injuries was 4.9 (SD = 3.8).

In both unadjusted and adjusted models, we found no evidence of difference in the odds of GC/CT between women who were extreme groomers within the past year compared to those who were not extreme groomers (OR = 0.8, 95% CI = 0.3–1.9; adjusted OR (aOR) = 0.6, 95% CI = 0.3–2.0, respectively; Table 2). Unadjusted and adjusted associations between extreme grooming within the past month and prevalent GC/CT were somewhat stronger but remained non-significant (unadjusted OR = 0.5, 95% CI = 0.1–2.0; aOR = 0.4, 95% CI = 0.1–1.9; Table 2).

thumbnail
Table 2. Association between extreme grooming and gonorrhea or chlamydial infection among female university students attending for sexually transmitted infection testing (n = 214).

https://doi.org/10.1371/journal.pone.0221303.t002

We found no evidence of an association between extreme pubic hair grooming (in the past 12 months or the past 30 days) and prevalent GC or CT infection among a convenience sample of female, mostly white, single, university students presenting for STI testing at a large Midwestern university. In contrast, three previous studies have suggested a link between these practices and prevalent STI. First, a case series of 30 individuals presenting with new cases of sexually transmitted molluscum contagiousum virus at a dermatology office in France showed that 93% of infected individuals practiced pubic hair grooming (70% shaving, 13% clipping, 10% waxing) [5]. However, this analysis had a small sample size, did not test for more prevalent STIs including chlamydia and gonorrhea, and had no comparison group. Second, a cross-sectional survey of 4,062 men found an increased prevalence of self-reported genital infections and abscesses with higher frequency of grooming among those who reported having sex with men compared to men who have sex with women or compared to non-groomers. The analysis did not adjust for potential confounders and temporality could not be established due to the study design [6].

Most recently, a large web survey of men and women 18–65 years of age found that 74% of study participants reported ever having groomed their pubic hair [7]. Among those who had groomed, 17% were extreme groomers (defined as removing all pubic hair more than 11 times within the past year) and 22% were “high-frequency” groomers (defined as engaging in daily or weekly pubic hair trimming). Overall, 7% of respondents reported a history of secretory STI (defined as CT, GC, or HIV). After adjustment for age and lifetime number of sexual partners, ever groomers had nearly two times higher odds of self-reported history of secretory STI when compared to never groomers; similar effects were observed comparing extreme and high-frequency groomers to non-groomers. These findings were limited by potential for introduction of bias from using self-reported STI as the outcome. Additionally, the use of lifetime STI as the outcome does not allow for temporal approximation of risk due to grooming. Finally, the analysis only controlled for age and lifetime number of sexual partners, and the observed association could be the result of residual confounding [7].

Our analysis is an important contribution to the scant literature about this topic for several reasons. First, we used laboratory-confirmed GC/CT to measure STI status rather than rely on respondent reporting. Self-reported history of CT infection has been shown to be have only moderate agreement with serologically-confirmed infection [14]. Our analysis also collected detailed information on potential confounders, which allowed us to compute adjusted estimates using multivariable regression models. Study weaknesses included the small sample size, which led to the imprecision evident in the wide confidence intervals for measures of association. Also, we enrolled a convenience sample of women at a single university who were attending for STI testing; the findings may not be applicable to a more general population.

Conclusions

In summary, ever pubic hair grooming was almost universal (98.1%) in our sample, which is consistent with previous estimates of grooming prevalence among college-aged individuals [9]. However, in contrast to earlier studies, we found no association between frequent grooming and STI prevalence. Our findings do not support for the need for public health or clinical interventions to address pubic hair grooming as a risk factor for prevalent GC or CT. Future studies on this topic could use a larger, more representative sample to allow for more precise estimates and wider generalizability. Future research also could be strengthened with mixed methods forms of data collection to permit a thorough understanding of participant behaviors related to grooming practices.

Supporting information

S1 Table. Demographic characteristics and sexual behaviors among female university students attending for sexually transmitted infection (STI) testing for those with and without STI data.

https://doi.org/10.1371/journal.pone.0221303.s001

(DOCX)

Acknowledgments

Columbus Public Health Department staff Michael Burnett and Audrey Regan, Research Assistants Leah Sadinski, Mana Kassa, Sara Sexton, Francesca Shumrick, Natalie Gaines, Ariana Cucci, Samira Yusuf, and Emily Gutzwiller, Ohio State University STI testing staff Lindsey Basista and Caroline Bashour, Blake Marble of the Ohio State University Student Life Student Wellness Center, Todd Suddeth of the Ohio State University Student Life Multicultural Center.

References

  1. 1. Barton J, Braxton J, Davis DW, de Voux A, Flagg EW, Grier L, et al. Sexually transmitted disease surveillance 2015. Atlanta: National Center for HIV/AIDS VH, STD, and TB Prevention, Division of STD Prevention; 2016.
  2. 2. Centers for Disease Control and Prevention. Sexually Transmitted Disease Surveillance 2017. Atlanta: U.S. Department of Health and Human Services; 2018.
  3. 3. Mojola SA, Everett B. STD and HIV risk factors among U.S. young adults: variations by gender, race, ethnicity and sexual orientation. Perspect Sex Reprod Health. 2012;44(2):125–33. pmid:22681428
  4. 4. Torrone E, Papp J, Weinstock H. Prevalence of Chlamydia trachomatis genital infection among persons aged 14–39 years—United States, 2007–2012. MMWR Morb Mortal Wkly Rep. 2014;63(38):834–8. pmid:25254560
  5. 5. Desruelles F, Cunningham SA, Dubois D. Pubic hair removal: a risk factor for 'minor' STI such as molluscum contagiosum? Sex Transm Infect. 2013;89:216. pmid:23512968
  6. 6. Gaither TW, Truesdale M, Harris CR, Alwaal A, Shindel AW, Allen IE, et al. The influence of sexual orientation and sexual role on male grooming-related injuries and infections. J Sex Med. 2015;12(3):631–40. pmid:25442701
  7. 7. Osterberg EC, Gaither TW, Awad MA, Truesdale MD, Allen I, Sutcliffe S, et al. Correlation between pubic hair grooming and STIs: results from a nationally representative probability sample. Sex Transm Infect. 2017;93(3):162–6. pmid:27920223
  8. 8. Rowen TS, Gaither TW, Awad MA, Osterberg EC, Shindel AW, Breyer BN. Pubic hair grooming prevalence and motivation among women in the United States. JAMA Dermatol. 2016;152(10):1106–13. pmid:27367465
  9. 9. Butler SM, Smith NK, Collazo E, Caltabiano L, Herbenick D. Pubic hair preferences, reasons for removal, and associated genital symptoms: comparisons between men and women. J Sex Med. 2015;12(1):48–58. pmid:25394526
  10. 10. Truesdale MD, Osterberg EC, Gaither TW, Awad MA, Elmer-DeWitt MA, Sutcliffe S, et al. Prevalence of pubic hair grooming-related injuries and identification of high-risk individuals in the United States. JAMA Dermatol. 2017;153(11):1114–21. pmid:28813560
  11. 11. Schmidtberger L, Ladizinski B, Ramirez-Fort MK. Wax on, wax off: pubic hair grooming and potential complications. JAMA Dermatology. 2014;150(2):122. pmid:24553837
  12. 12. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81. pmid:18929686
  13. 13. DeMaria AL, Sundstrom B, McInnis SM, Rogers E. Perceptions and correlates of pubic hair removal and grooming among college-aged women: a mixed methods approach. Sex Health. 2016;13(3):248–56. pmid:26885885
  14. 14. Frisse AC, Marrazzo JM, Tutlam NT, Schreiber CA, Teal SB, Turok DK, et al. Validity of self-reported history of Chlamydia trachomatis infection. Am J Obstet Gynecol. 2017;216:393. pmid:27988270