| Literature DB >> 31483828 |
Jamie Luster1, Abigail Norris Turner2, John P Henry3, Maria F Gallo1.
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.Entities:
Mesh:
Year: 2019 PMID: 31483828 PMCID: PMC6726136 DOI: 10.1371/journal.pone.0221303
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Directed acyclic graph.
The minimally sufficient adjustment set includes the variables frequency of sex, income, race, and year in school.
Demographic characteristics and sexual behaviors among female university students attending for sexually transmitted infection testing.
| All women | Extreme groomer in past month (n = 38) | Extreme groomer in past year (n = 112) | ||||
|---|---|---|---|---|---|---|
| No. | (%) | No. | (%) | No. | (%) | |
| Year in college | ||||||
| 1st year | 41 | (19.3) | 7 | (18.4) | 20 | (17.9) |
| 2nd year | 58 | (27.2) | 12 | (31.6) | 36 | (32.1) |
| 3rd year | 45 | (21.1) | 11 | (29.0) | 25 | (22.3) |
| 4th year | 39 | (18.3) | 8 | (21.1) | 21 | (18.8) |
| 5th year or higher | 30 | (14.1) | 0 | 10 | (8.9) | |
| Missing | 1 | 0 | 0 | |||
| Annual parental/guardian income | ||||||
| <$30,000 | 10 | (5.2) | 1 | (3.0) | 2 | (1.9) |
| $30,000 to <$60,000 | 26 | (13.4) | 3 | (9.1) | 10 | (9.6) |
| $60,000 to <$100,000 | 61 | (31.4) | 13 | (39.4) | 32 | (30.8) |
| ≥$100,000 | 97 | (50.0) | 16 | (48.5) | 60 | (57.7) |
| Missing | 20 | 5 | 8 | |||
| Race | ||||||
| White | 161 | (75.2) | 31 | (81.6) | 89 | (79.5) |
| Black | 27 | (12.6) | 3 | (7.9) | 8 | (7.1) |
| Other | 26 | (12.2) | 4 | (10.5) | 15 | (13.4) |
| Relationship status | ||||||
| Single | 154 | (72.0) | 28 | (73.7) | 88 | (78.6) |
| Dating | 52 | (24.3) | 9 | (23.7) | 20 | (17.9) |
| Engaged | 2 | (0.9) | 0 | (0.0) | 2 | (1.8) |
| Other | 6 | (2.8) | 1 | (2.6) | 2 | (1.8) |
| No. sexual partners in past 12 mos. | ||||||
| Mean, standard deviation | 4.3 | 4.0 | 4.0 | 2.3 | 5.0 | 4.8 |
| Missing | 7 | 1 | 2 | |||
| Ever had anal, vaginal, or oral sex | ||||||
| Yes | 210 | (99.5) | 38 | (100.0) | 111 | (100.0) |
| No | 1 | (0.5) | 0 | (0.0) | 0 | (0.0) |
| Decline or missing | 3 | 0 | 1 | |||
| Sex of past partner(s) | ||||||
| Men | 181 | (86.6) | 37 | (97.4) | 101 | (91.8) |
| Women | 5 | (2.4) | 0 | 2 | (1.8) | |
| Both | 23 | (11.0) | 1 | (2.6) | 7 | (6.4) |
| Decline or missing | 5 | 0 | 2 | |||
| Sexual frequencya | ||||||
| Daily to weekly | 84 | (40.4) | 14 | (36.8) | 48 | (43.2) |
| <Weekly and >monthly | 64 | (30.8) | 15 | (39.5) | 37 | (33.3) |
| Monthly or less often | 60 | (28.9) | 9 | (23.7) | 26 | (23.4) |
| Missing | 6 | 0 | 1 | |||
| Age of most recent sex partner | ||||||
| Mean, standard deviation | 21.7 | 2.8 | 21.4 | 2.7 | 21.4 | 2.2 |
| Missing | 6 | 0 | 1 | |||
| Sex while drunk or high in past year | ||||||
| Yes | 165 | (79.0) | 31 | (81.6) | 94 | (84.7) |
| No | 44 | (21.0) | 7 | (18.4) | 17 | (15.3) |
| Decline or missing | 5 | 0 | 1 | |||
| Condom use during vaginal sex in past month | ||||||
| Always | 36 | (16.8) | 6 | (15.8) | 16 | (14.3) |
| Never | 46 | (21.5) | 9 | (23.7) | 26 | (23.2) |
| Inconsistent | 104 | (48.6) | 20 | (52.6) | 59 | (52.7) |
| No vaginal sex in past month | 28 | (13.1) | 3 | (7.9) | 11 | (9.8) |
| Gonococcal infection | ||||||
| Yes | 2 | (0.9) | 0 | 0 | ||
| No | 212 | (99.1) | 38 | (100.0) | 112 | (100.0) |
| Chlamydial infection | ||||||
| Yes | 19 | (8.9) | 2 | (5.3) | 10 | (8.9) |
| No | 195 | (91.1) | 36 | (94.7) | 102 | (91.1) |
| Gonococcal or chlamydial infection | ||||||
| Yes | 21 | (9.8) | 2 | (5.3) | 10 | (8.9) |
| No | 193 | (90.2) | 36 | (94.7) | 102 | (91.1) |
a Among those reporting ever vaginal, oral or anal sex.
Association between extreme grooming and gonorrhea or chlamydial infection among female university students attending for sexually transmitted infection testing (n = 214).
| Unadjusted | Reduced model | Full model | ||||
|---|---|---|---|---|---|---|
| Pubic grooming | OR | (95% CI) | aOR | (95% CI) | aOR | (95% CI) |
| Extreme, past 12 months | ||||||
| No | 1.0 | 1.0 | 1.0 | |||
| Yes | 0.8 | (0.3–1.9) | 0.7 | (0.3–2.0) | 0.7 | (0.2–1.9) |
| Extreme, past 30 days | ||||||
| No | 1.0 | 1.0 | 1.0 | |||
| Yes | 0.5 | (0.1–2.0) | 0.4 | (0.1–1.9) | 0.4 | (0.1–2.0) |
aOR = adjusted odds ratio; CI = confidence interval; OR = odds ratio
a Defined as removal of all pubic hair weekly or daily in past 12 months.
b Defined as removal of all pubic hair 6 or more times in past 30 days.
c OR for past 12 months was adjusted for sexual frequency and parental/guardian income. OR for past 30 days was adjusted for race.
d Adjusted for all confounders identified in directed acyclic graph: annual parental/guardian income, year in school, race, and sexual frequency.