Does the Sex Risk Quiz Predict Mycoplasma genitalium Infection in Urban Adolescents and Young Adult Women?

Publication/Presentation Date

11-1-2018

Abstract

BACKGROUND: Mycoplasma genitalium (MG) is a common sexually transmitted infection (STI), but there are limited strategies to identify individuals at risk of MG. Previously, a sex risk quiz was used to predict STIs including Chlamydia trachomatis, Neisseria gonorrhoeae, and/or Trichomonas vaginalis. The original quiz categorized individuals 25 years or younger as at risk of STIs, but the Centers for Disease Control and Prevention identifies females younger than 25 years as at risk of STIs. In this study, the quiz was changed to categorize females younger than 25 years as high risk. The objective was to determine if the age-modified risk quiz predicted MG infection.

METHODS: A cross-sectional analysis of a prospective longitudinal study was performed including female adolescents and young adults (AYAs) evaluated in multiple outpatient clinics. Participants completed an age-modified risk quiz about sexual practices. Scores ranged from 0 to 10 and were categorized as low risk (0-3), medium risk (4-7), and high risk (8-10) based on the STI prevalence for each score. Vaginal and/or endocervical and/or urine specimens were tested for MG, T. vaginalis, C. trachomatis, and N. gonorrhoeae using the Aptima Gen-Probe nucleic amplification test.

RESULTS: There were 693 participants. Most participants reported having 0 to 1 sexual partners in the last 90 days (91%) and inconsistent condom use (84%). Multivariable logistic regression analysis controlling for race, education, and symptom status demonstrated that a medium-risk score predicted MG infection among AYAs younger than 25 years (adjusted odds ratio, 2.56 [95% confidence interval, 1.06-6.18]).

CONCLUSION: A risk quiz may be useful during clinical encounters to identify AYA at risk of MG.

Volume

45

Issue

11

First Page

728

Last Page

734

ISSN

1537-4521

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

29870502

Department(s)

Administration and Leadership

Document Type

Article

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