| Literature DB >> 29566756 |
Sara E Crann1, Shannon Cunningham2, Arianne Albert3, Deborah M Money4, Kieran C O'Doherty5.
Abstract
BACKGROUND: The vaginal microbiome influences quality of life and health. The composition of vaginal microbiota can be affected by various health behaviors, such as vaginal douching. The purpose of this study was to examine the types and prevalence of diverse vaginal/genital health and hygiene behaviors among participants living in Canada and to examine associations between behavioral practices and adverse gynecological health conditions.Entities:
Keywords: Hygiene products; Microbiome; Vaginal health; Vaginal hygiene; Vaginal practices; Women’s health
Mesh:
Year: 2018 PMID: 29566756 PMCID: PMC5865287 DOI: 10.1186/s12905-018-0543-y
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Participant demographics
| Age | |
| 18-25 years | 451 (31.4) |
| 26-35 years | 305 (21.2) |
| 36-45 years | 216 (14.8) |
| 46-55 years | 239 (16.7) |
| 56-65 years | 149 (10.4) |
| 66-75 years | 62 (4.3) |
| 76+ years | 16 (1.1) |
| Sexual Orientation | |
| Heterosexual | 1234 (86) |
| Lesbian | 39 (2.7) |
| Bisexual | 99 (6.9) |
| Questioning/uncertain | 22 (1.5) |
| Other | 37 (2.6) |
| Ethnic/racial Identity | |
| White | 1282 (89.3) |
| Aboriginal | 48 (3.3) |
| Black | 30 (2.1) |
| Central/South American | 7 (0.5) |
| South Asian | 21 (1.5) |
| East Asian | 24 (1.7) |
| Chinese | 24 (1.7) |
| Middle Eastern/Arab | 19 (1.3) |
| Other | 27 (1.8) |
| Highest Level of Education | |
| Less than high school | 17 (1.2) |
| High school diploma or equivalent | 251 (17.5) |
| Some post-secondary | 319 (22.2) |
| Diploma program completed | 206 (14.4) |
| Degree program completed | 405 (28.2) |
| Post-graduate completed | 235 (16.4) |
Note: Participants could select more than one ethnic/racial identity
Types and prevalence of vaginal health and hygiene product use
| Product | Ever used ( | Used 3 months prior | ||
|---|---|---|---|---|
| Internal | External | Internal | External | |
| Vaginal moisturizers/lubricants | 583 (40.6) | 430 (30) | 289 (20.1) | 220 (15.3) |
| Vaginal tablets | 500 (34.8) | – | 43 (3) | – |
| Anti-itch creams | 370 (25.8) | 715 (49.8) | 44 (3.1) | 134 (9.3) |
| Vaginal wipes | 60 (4.2) | 602 (42) | 37 (2.6) | 273 (19) |
| Vaginal washes/cleansers | 58 (4.0) | 168 (11.7) | 11 (0.8) | 66 (4.6) |
| Baby/antiseptic wipes | 37 (2.6) | 597 (41.6) | 17 (1.2) | 260 (18.1) |
| Hand/body lotion | 28 (2.0) | 304 (21.2) | 6 (0.4) | 170 (11.8) |
| Baby oil | 28 (2.0) | 149 (10.4) | 5 (0.3) | 37 (2.6) |
| Vaginal deodorant suppositories | 20 (1.4) | – | 4 (0.3) | – |
| Liquid/gel sanitizers | 12 (0.8) | 26 (1.8) | 2 (0.2) | 11 (0.8) |
| Vaginal sprays | 8 (0.6) | 81 (5.6) | 3 (0.3) | 14 (1.0) |
| Vaginal powders | 8 (0.6) | 78 (5.4) | 4 (0.3) | 30 (2.1) |
| Shaving cream | – | 719 (50.1) | – | 361 (25.2) |
| Other (listed in text box) | ||||
Types and prevalence of vaginal practices
| Vaginal health and hygiene practice | Ever used |
|---|---|
| Insertion of sex toys | 562 (39.2) |
| Waxing genital area | 380 (26.4) |
| Genital surgery (reasons other than cosmetic) | 34 (2.4) |
| Genital piercing | 24 (1.7) |
| Traditional genital cutting | 20 (1.4) |
| Pubic hair colouring | 15 (1.0) |
| Genital cutting (for reasons other than traditional) | 13 (0.9) |
| Genital tattoo | 12 (0.8) |
| Anal bleaching | 7 (0.5) |
| Vajazzling (the application of stick-on gemstones to the genital area) | 6 (0.4) |
| Vaginal bleaching | 6 (0.4) |
| Genital cosmetic surgery | 6 (0.4) |
| Smoking/fogging/steaming to tighten vagina | 5 (0.3) |
| Injection to enhance G-spot | 4 (0.3) |
| Other Practices (from text box) | 89 (6.2) |
| Episiotomy/stitches for tear during childbirth | 21 (1.4) |
| Other medical procedure | 18 (1.3) |
| Shaving | 13 (0.9) |
| Laser hair removal | 9 (0.6) |
| Traditional labia stretching | 1 (0.07) |
Univariate and multivariate logistic regression analysis of any type of adverse health condition
| Predictor variables | Univariate | Multivariate | ||
|---|---|---|---|---|
| OR (CI 95%) |
| OR (CI 95%) |
| |
| Any product use | 3.2 (2.4-4.2) | .00** | 3.2 (4.5-4.3) | |
| Ethnicity | .76 | |||
| White |
| |||
| Black | 1.3 (0.5 – 3.4) | |||
| Chinese | 0.8 (0.3 – 2.7) | |||
| East Asian | 0.3 (0.1 – 2.1) | |||
| South Asian | 0.5 (0.2 – 2.0) | |||
| Latin/S/Cen American | 0.8 (0.1 – 6.8) | |||
| Aboriginal | 0.4 (0.6 – 4.1) | |||
| Middle Eastern | 0.08 (0.9 – 2.9) | |||
| Mixed | 0.8 (0.3 – 2.7) | |||
| Other | 0.9 (0.3 – 3.4) | |||
| Education Level | .21 | |||
| Less than high school | 0.6 (0.2 – 2.3) | |||
| High school diploma | 0.7 (0.4 – 1.0) | |||
| Some post-secondary | 1.1 (0.7 – 1.5) | |||
| Diploma complete | 0.8 (0.5 – 1.2) | |||
| Degree complete | 1.0 (0.7 – 1.4) | |||
| Post-graduate complete |
| |||
| Age | .00** | .00** | ||
| Less than 25 years | 1.5 (0.4 - 5.5) | 1.4 (0.4 – 5.3) | ||
| 26-35 years | 1.5 (0.4 – 5.6) | 1.2 (0.3 – 4.6) | ||
| 36-45 years | 1.4 (0.4 – 5.2) | 1.1 (0.3 – 4.2) | ||
| 46-55 years | 0.9 (0.2 – 3.2) | 0.8 (0.2 – 3.0) | ||
| 56- 65 years | 0.6 (0.1 – 0.3) | 0.5 (0.1 – 2.1) | ||
| 66- 75 years | 0.2 (0.1 – 2.7) | 0.6 (0.1 – 2.7) | ||
| 76+ years |
| |||
| Sexual Orientation | .00** | .01* | ||
| Heterosexual |
| 1.1 (0.5 – 2.4) | ||
| Lesbian | 1.3 (0.6 – 2.7) | 1.3 (0.5 – 3.6) | ||
| Bisexual | 1.3 (0.5 – 3.4) | 2.3 (1.5 – 3.6) | ||
| Questioning/Uncertain | 2.7 (1.7 – 4.1) | 1.2 (0.6 – 2.5) | ||
| Other | 1.4 (0.7 – 2.8) | |||
Dependent variable: Any adverse health condition
** p < .01
* p < .05