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Journal of Clinical Microbiology logoLink to Journal of Clinical Microbiology
. 2014 Oct;52(10):3660–3666. doi: 10.1128/JCM.00850-14

Clinical Characteristics Associated with Mycoplasma genitalium among Female Sex Workers in Nairobi, Kenya

Ayodele Gomih-Alakija a, Jie Ting a, Nelly Mugo b, Jessie Kwatampora b, Damon Getman c, Michael Chitwa b, Suha Patel d, Mugdha Gokhale a, Joshua Kimani b, Frieda S Behets a, Jennifer S Smith a,e,
Editor: E Munson
PMCID: PMC4187795  PMID: 25100823

Abstract

The prevalence of Mycoplasma genitalium is high in vulnerable populations of women in low-resource settings. However, the epidemiology of infection in these populations is not well established. To determine the prevalence of Mycoplasma genitalium and its association with cervical cytology and other correlates, we recruited 350 female sex workers (FSW) who were 18 to 50 years old in Nairobi, Kenya, for a cross-sectional study. A questionnaire was administered at baseline to obtain information on sociodemographics and sexual behaviors. Women underwent a pelvic exam, during which a physician collected cervical-exfoliation samples for conventional cytology and sexually transmitted infection (STI) testing. Samples were tested for M. genitalium and other STI organisms (Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis) and the E6/E7 mRNA of human papillomavirus (HPV) by Aptima nucleic amplification assays. The prevalence of M. genitalium was 12.9%. FSW who engaged in sexual intercourse during menses were less likely to have M. genitalium infection than those who did not (odds ratio [OR], 0.3; 95% confidence interval [95% CI], 0.1, 0.9). M. genitalium was also less prevalent among FSW who had worked in prostitution for >5 years (6.2%) than among those who had worked for <3 years (17.6%) (OR, 0.3; 95% CI, 0.1, 0.8). FSW who reported more frequent condom use were more likely to be infected with M. genitalium than those who reported less frequent use (OR, 3.8; 95% CI, 1.2, 11.6). These correlates differ from those found in M. genitalium studies conducted with FSW from West Africa and China. Further longitudinal analyses assessing associations with persistent M. genitalium infection are needed.

INTRODUCTION

Mycoplasma genitalium is an emergent bacterium that is transmitted via sexual activity and has been associated with complications in the female genital tract, including endometritis, tubal-factor infertility, pelvic inflammatory disease (PID), cervicitis, and ectopic pregnancy (19). M. genitalium may also increase the risk of HIV transmission and associated shedding (1013).

Vulnerable populations of women in low-resource settings have a higher-than-average susceptibility to sexually transmitted infections (STIs) and subsequent complications of the reproductive tract, including those caused by M. genitalium, Chlamydia trachomatis, and Neisseria gonorrhoeae (14). In the case of female sex workers (FSWs), STI risk is increased due to a greater exposure to unsafe sexual behaviors, such as unprotected sexual intercourse and high numbers of clients/sexual partners (15).

The prevalence and associated risk factors for M. genitalium have been investigated both in the general population and among populations at high risk for STIs in sub-Saharan Africa, Asia, the United Kingdom, and the United States (4, 1623). Across many of these studies, a young age, little education, single marital status, and high numbers of sex partners remained consistently associated with infection (4, 9, 16, 18, 21, 23, 24). Findings are less consistent among the few studies that examined risk factors among FSWs. In the literature, studies have shown similar associations of M. genitalium infection with basic demographic factors, such as education and marital status. However, there is less agreement for sexual-behavioral and clinical correlates, such as condom use, duration of sex work, and history of STIs (16, 18, 23). Chinese sex workers who did not present STI symptoms in the year prior to the study were more likely to have infection with M. genitalium than those who did (23). In contrast, a study conducted in sub-Saharan Africa found that sex workers who presented clinical symptoms were more likely to have M. genitalium infection than those who were asymptomatic (18).

In studies examining concurrent M. genitalium infection with other STIs in the general population, M. genitalium was found to be associated with urethritis, cervicitis, and PID (2528). However, more-recent research indicates the role of M. genitalium in nonchlamydial nongonococcal urethritis (NCNGU), supporting its independent role as an etiological factor for NCNGU and other urogenital complications (29, 30). While the role of human papillomavirus (HPV) in the etiology of cervical cancer is well established, evidence demonstrates a positive relationship between M. genitalium and HPV infection as well as abnormal cervical cytology (8, 3134). M. genitalium was associated with a higher risk of HPV among Japanese men with urethritis, with both organisms present in the urethral tract (33). Among a cohort of FSWs, M. genitalium was positively associated with the prevalence of high-risk HPV (hrHPV) (32). An in vitro study of human cells infected with four urogenital mycoplasmas found that M. genitalium infection altered the gene expression of cervical epithelial cells, supporting its potential role in cervical dysplasia and cervical cancer progression (35). Infection with M. genitalium has also been positively associated with cervical inflammation, a condition associated with high-risk cervical neoplasia (8, 9, 36, 37).

There are widespread implications of understanding the characteristics of M. genitalium infection in populations susceptible to STIs and related complications. Therefore, the objective of this study was to determine the prevalence of M. genitalium infection, identify correlates for infection, and explore the relationship between M. genitalium and cervical cytology in a cohort of FSWs in Kenya.

MATERIALS AND METHODS

Study population.

Ethical approval was granted by the Institutional Review Boards (IRB) at Kenyatta National Hospital (Nairobi, Kenya) and the University of North Carolina (Chapel Hill, NC, USA). From August 2009 to March 2011, FSWs attending the Korogocho clinic in Nairobi, Kenya, were invited to participate in this study to determine the prevalence of correlates for M. genitalium infection. The clinic provided counseling and medical care, including screening and treatment of cervical cancer as well as of STIs for FSWs in the Korogocho slum area. Detailed information on the study population and sample collection has been previously described (38). Briefly, a total of 350 FSWs aged 18 to 48 years provided written informed consent and were subsequently enrolled from among approximately 425 FSWs who were invited to participate in the study. Each participating woman underwent a pelvic examination, where the physician collected cervical specimens for cytology, histology, and STI testing, including for M. genitalium and HPV infections.

M. genitalium and STI testing.

Encoded, deidentified cervical samples were transported to Hologic Gen-Probe in San Diego, CA, for M. genitalium DNA testing using the Aptima research-use-only assay (Hologic Gen-Probe), which uses target capture, transcription-based amplification (TMA), and hybridization protection to capture, amplify, and detect M. genitalium 16S rRNA (39). The specimens were also tested (i) for Chlamydia trachomatis and Neisseria gonorrhoeae by the Aptima Combo 2 assay, (ii) for Trichomonas vaginalis by the Aptima TV assay, and (iii) for HPV by the Aptima HPV assay, which qualitatively detects E6/E7 mRNA of 14 hrHPV types (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68) (Hologic Gen-Probe, Inc., San Diego, CA). All assays utilized target capture, TMA, and hybridization principles similar to those used for M. genitalium detection.

Serum was tested for HIV antibodies by enzyme-linked immunosorbent assay (ELISA) (Detect HIV-1; Biochem ImmunoSystems, Inc., Montreal, Canada), with positive results confirmed by a second ELISA. Peripheral blood CD4 cells were also enumerated. The HIV ELISA and CD4 assays were conducted at the University of Nairobi. All assays were performed according to the manufacturer's instructions, with the technicians blind to cervical cytology, laboratory, and other study results.

Cervical cytology.

The Pap smears were evaluated at the University of Nairobi and classified according to the 2001 Bethesda System (40). All smears were independently read by two cytopathologists blind to M. genitalium and all other study results. In cases of discordant diagnoses between the two cytology readings, the slides were reassessed a third time, with the final diagnosis being the consensus of the opinions of the reviewing cytopathologists. Study participants were notified of their cytology results within 2 weeks after their screening visit. Women with low-grade squamous intraepithelial lesions (LSIL) were instructed to undergo a repeat cytology 4 months later. Women with high-grade squamous intraepithelial lesions (HSIL) were immediately referred for a colposcopy and biopsy. In cases of histological cervical intraepithelial neoplasia 2 (CIN-2) or more-severe neoplasia (at least CIN-2), the women received standard care and treatment at Kenyatta National Hospital.

Statistical analysis.

Of the 350 FSWs recruited, 1 woman was missing baseline questionnaire data and was excluded from analyses, resulting in a final sample size of 349. Distributions of M. genitalium and other STIs were assessed by univariate analyses. Odds ratios (ORs) and 95% confidence intervals (CI) were calculated by unconditional logistic regression to examine crude associations between baseline characteristics and M. genitalium. The Wald test was utilized to determine the inclusion of variables for the multivariable logistic-regression model. Any correlate associated with M. genitalium at a P of 0.15 were selected for the multivariable model. Additionally, M. genitalium was reviewed as a correlate of cervical cytology. Binary and categorical variables with a sample size of less than 10 in a stratum (N. gonorrhoeae, CD4 count) were eliminated from the regression analyses when looking within strata of M. genitalium infection. Analyses were performed using SAS version 9.2.

RESULTS

The median age of study participants was 28 years overall (range, 18 to 48 years). The median age at sexual debut was 16 years (range, 10 to 25 years), and the average duration of prostitution was 5.5 years (Table 1). Most of the women had never been married or were widowed, divorced, or separated and had completed a primary school education (Table 2). Among the 349 FSW with baseline sample data, the prevalences of M. genitalium, C. trachomatis, N. gonorrhoeae, and T. vaginalis infection were 12.9%, 3.7%, 2.3%, and 7.2%, respectively.

TABLE 1.

Prevalence of Mycoplasma genitalium and other sexually transmitted infections among female sex workers in Kenya

Parameter Value for subjects infected witha:
Mycoplasma genitalium Chlamydia trachomatis Neisseria gonorrhoeae Trichomonas vaginalis HIV-1 hrHPV
Overall % of subjects infected 12.9 3.7 2.3 7.2 24.0 29.5
Median age in yr (range) 26 (19–46) 23 (19–31) 26 (21–35) 30 (22–44) 32 (21–48) 32 (20–43)
% in age group (yr):
    18–24 (n = 89) 18.0 11.4 3.4 9.0 7.9 32.6
    25–29 (n = 108) 13.9 1.9 2.8 3.7 18.5 29.6
    30–34 (n = 72) 8.3 1.4 1.4 4.2 36.6 30.6
    ≥35 (n = 80) 10.0 0.0 1.3 12.5 38.5 25.0
    P trend 0.07 <0.001 0.34 0.40 <0.001 0.33
% with indicated duration of prostitution (yr)
    <3 (n = 74) 17.6 10.8 4.1 5.4 18.9 27.0
    3–5 (n = 145) 16.6 2.8 1.4 9.7 21.7 31.7
    >5 (n = 130) 6.2 0.8 2.3 5.4 29.5 28.5
    P trend <0.01 <0.001 0.64 0.78 0.07 0.94
a

HIV-1, human immunodeficiency virus type 1; hrHPV, high-risk human papillomavirus.

TABLE 2.

Sociodemographic, sexual-behavioral, and biological factors associated with Mycoplasma genitalium among 349 female sex workers in Kenya

Parameter Overall no. of subjects (n = 349) % infected with Mgena (n = 45) Crude OR (95% CI)b
Sociodemographic characteristics
    Age (yr)
        18–24 89 18.0 1.0f
        25–29 108 13.9 0.7 (0.3, 1.6)
        30–34 72 8.3 0.4 (0.2, 1.1)
        ≥35 80 10.0 0.5 (0.2, 1.3)
    Marital statusc
        Single (never married) 154 11.7 1.0
        Married/cohabiting 3 0.0
        Widowed/divorced/separated 191 14.4 1.2 (0.6, 2.3)d
    Educationc
        Primary or less 265 13.6 1.0
        Secondary or more 83 10.8 0.8 (0.4, 1.7)
    Income/moc,e
        ≤4,000 Ksh 201 10.5 1.0f
        >4,000 Ksh 147 16.3 1.7 (0.9, 3.1)
    Smoking status
        Never 217 12.4 1.0
        Past 46 17.4 0.9 (0.4, 2.0)
        Yes, still 86 11.6 1.5 (0.6, 3.5)
    Alcohol usec
        No 57 10.5 1.0
        Yes 291 13.4 1.3 (0.5, 3.3)
Sexually transmitted infection characteristics
    HIV-1 serologyc
        Negative 291 12.0 1.0
        Positive 83 17.2 1.2 (0.6, 2.4)
    HPV RNA
        Negative 246 11.4 1.0
        Positive 103 16.5 1.5 (0.8, 3.0)
    Chlamydia trachomatisc
        Negative 335 12.8 1.0
        Positive 13 7.7 0.6 (0.1, 4.5)
    Trichomonas vaginalis
        Negative 324 12.7 1.0
        Positive 25 16.0 1.3 (0.4, 4.0)
Sexual-behavioral characteristics
    Avg charge for sexc,e
        ≤200 Ksh 199 10.6 1.0
        >200 Ksh 149 16.1 1.6 (0.9, 3.1)
    Duration of prostitution (yr)
        <3 74 17.6 1.0f
        3–5 145 16.6 0.9 (0.4, 2.0)
        >5 130 6.2 0.3 (0.1, 0.8)g
    Avg no. of clients/wk
        ≤8 120 14.2 1.0
        9–14 127 8.7 0.6 (0.3, 1.3)
        ≥15 102 16.7 1.2 (0.6, 2.5)
    Avg frequency of condom usec
        Half the time or less 92 4.4 1.0f,g
        Most of the time 168 16.7 4.4 (1.5, 13.0)
        Always 88 14.8 3.8 (1.2, 12.2)
    Has a regular partner(s)
        No 100 13.0 1.0
        Yes 249 12.9 1.0 (0.5, 2.0)
    Age at menarche (yr)
        ≤13 100 8.0 1.0f
        14–15 147 14.3 1.9 (0.8, 4.5)
        ≥16 102 15.7 2.1 (0.9, 5.3)
    Age at sexual debut (yr)
        ≤14 136 13.2 1.0
        15–18 121 13.2 1.0 (0.5, 2.1)
        ≥19 92 12.0 0.9 (0.4, 2.0)
    Age at parity (yr)
        ≤17 150 12.0 1.0
        18–20 138 14.5 1.2 (0.6, 2.5)
        ≥21 61 11.5 1.0 (0.4, 2.4)
    Depo/Norplant use
        No 239 11.7 1.0
        Yes 110 15.5 1.4 (0.7, 2.6)
    Douche after sexc
        No 85 10.6 1.0
        Yes 177 14.1 1.4 (0.6, 3.1)
            More than once per day 20 30.0 2.8 (0.9, 9.0)
            Once per day or less 157 12.1 0.9 (0.4, 2.0)
    Sex while in menses
        No 271 15.5 1.0f,g
        Yes 78 3.9 0.2 (0.1, 0.7)
    Anal sexc
        No 268 13.4 1.0f
        Yes 80 11.3 0.2 (0.03, 1.7)
    Lubricant use during sex
        No 222 11.7 1.0f
        Yes 127 15.0 0.8 (0.4, 1.4)
a

Mgen, Mycoplasma genitalium.

b

OR, odds ratio; 95% CI, 95% confidence intervals.

c

Numbers do not add up to the total sample size due to missing data.

d

The odds ratio represents a comparison between the categories “married/cohabiting” and “widowed/divorced/separated” combined (collapsed due to sparse data) and the referent “single/never married.”

e

4,000 Kenyan shillings (Ksh) is equivalent to $50 U.S.

f

A P of ≤0.15 was selected for the multivariable logistic-regression model.

g

P <0.05.

Trends of sexually transmitted infections by age.

The median age for women infected with M. genitalium was 26 years (range, 19 to 46 years) (Table 1). The prevalence of both M. genitalium and C. trachomatis infection was higher among 18- to 24-year-olds than among older women (P trends, 0.07 and <0.001, respectively). However, age and HPV infection were positively correlated in that women aged 35 years and older had a higher prevalence of infection than younger FSWs (P trend, <0.001). Women who had worked in prostitution for less than 3 years had a high prevalence of M. genitalium infection (17.6%), but infection decreased with more years in prostitution (6.2%) (P trend, <0.01).

Independent correlates of Mycoplasma genitalium.

The duration of prostitution was negatively associated with M. genitalium; women who had worked in prostitution for >5 years were less likely to be infected than women who had practiced it for <3 years (OR, 0.3; 95% CI, 0.1 to 0.8) (Table 2). Women who self-reported using condoms most of the time or all the time were more likely to have M. genitalium infection than those who self-reported using condoms less frequently (OR, 4.4; 95% CI, 1.5 to 13.0; OR, 3.8; 95% CI, 1.2 to 12.2, respectively).

Participants who reported having sexual intercourse during menses were less likely to have M. genitalium infection than those who did not (OR, 0.2; 95% CI, 0.1 to 0.7). M. genitalium did not appear to be associated with other STIs (N. gonorrhoeae tests were not conducted due to insufficient sample size) or participant sociodemographic characteristics (Table 2).

Multivariable analysis.

Based on the univariable analyses, variables selected for the multivariable model included age, duration of prostitution, average frequency of condom use, age at menarche, sexual intercourse during menses, anal sex, income, and use of a lubricant during sex (Table 3). Sex during menses remained inversely associated with M. genitalium infection; women who engaged in intercourse were less likely to have infection than those who did not (OR, 0.2; 95% CI, 0.1 to 0.8). FSW who reported frequent condom use were more likely to be infected with M. genitalium than women who reported using a condom half the time or less (OR, 3.2; 95% CI, 1.0 to 9.8). M. genitalium was less common among women who worked in prostitution for >5 years than in women who worked for <5 years (OR, 0.4; 95% CI, 0.1 to 1.0).

TABLE 3.

Multivariable analysisb of correlates for Mycoplasma genitalium

Parameter OR (95% CI)a
Age (yr)
    18–24 1.0
    25–29 0.8 (0.3, 1.8)
    30–34 0.5 (0.2, 1.4)
    ≥35 0.6 (0.2, 1.7)
Duration of prostitution (yr)
    <3 1.0
    3–5 1.0 (0.4, 2.3)
    >5 0.4 (0.1, 1.0)
Income/moc
    ≤4,000 Ksh 1.0
    >4,000 Ksh 1.6 (0.8, 3.1)
Anal sex
    No 1.0
    Yes 0.3 (0.04, 2.7)
Sex during menses
    No 1.0
    Yes 0.2 (0.1, 0.8)d
Lubricant use during sex
    No 1.0
    Yes 0.6 (0.3, 1.2)
Age at menarche (yr)
    ≤13 1.0
    14–15 1.7 (0.7, 4.3)
    ≥15 1.9 (0.7, 4.8)
Avg frequency of condom use
    Half of the time or less 1.0
    Most of the time 3.2 (1.0, 9.8)
    Always 2.5 (0.8, 8.7)
a

OR, odds ratio; 95% CI, 95% confidence intervals.

b

Multivariable logistic-regression analyses, controlling for all other variables in table.

c

4,000 Ksh is equivalent to $50 U.S.

d

P < 0.05.

M. genitalium and cervical cytology.

The prevalence of M. genitalium was highest in women with severely abnormal cytology results (high-grade squamous intraepithelial lesion [HSIL] and squamous cell carcinoma [SCC]) and atypical cytology results (atypical cells of undetermined significance [ASCUS] and atypical glandular cells of undetermined significance [AGUS]), at 20% and 21.4%, respectively. However, there was no evidence of an association between M. genitalium infection and abnormal cytology (OR, 1.1; 95% CI, 0.5 to 2.3), compared to the incidence of M. genitalium infection in women with normal cytologies (Table 4).

TABLE 4.

Mycoplasma genitalium as a risk factor for abnormal cervical cytology

Cytologya Overall no. % infected with Mgenc OR (95% CI)b OR (95% CI) in HPV-positive womenb
    Normal 282 16.2 1.0 1.0
    ASCUS/AGUS 14 21.4
    LSIL 38 7.9
    HSIL/SCC 15 20.0 1.1 (0.5, 2.3)d 1.1 (0.4, 3.2)d
a

Results of a Pap smear test are indicated as follows: ASCUS, atypical cells of undetermined significance; AGUS, atypical glandular cells of undetermined significance; LSIL, low-grade squamous intraepithelial lesion; HSIL, high-grade squamous intraepithelial lesion; SCC, squamous cell carcinoma (40).

b

OR, odds ratio; 95% CI, 95% confidence interval.

c

Mgen, Mycoplasma genitalium.

d

The odds ratio represents a comparison between the categories “ASCUS/AGUS,” “LSIL,” and “HSIL/SCC” combined (collapsed due to sparse data) and the referent, “Normal.”

DISCUSSION

The prevalence of M. genitalium in this population of FSWs was 12.9%, which is higher than the prevalences of C. trachomatis, N. gonorrhoeae, and T. vaginalis. Compared to prevalences in other studies in non-Westernized regions, the prevalence of M. genitalium infection was lower than in a population of FSWs in Kenya, Ghana, and Benin (26%) but comparable to that of a high-risk cohort in Japan (12.6%) (16, 18, 19). The variation in M. genitalium prevalences across studies may be due to differences in study methods, such as the means of sampling of the source population, user variation in specimen collection, and the detection assays utilized. The age-specific prevalence of M. genitalium in this study was comparable to that of other studies among female sex workers, in whom the prevalence of M. genitalium generally decreased as age increased (18, 23).

Women who reported using condoms with clients more than 50% of the time were more likely to be infected with M. genitalium than women who reported less frequent condom use. These findings are inconsistent with previous studies showing lower rates of HIV/STI transmission among individuals with more frequent condom use and may reflect potential overreporting of condom use by study participants (41, 42). Comparatively, among female sex workers in Ghana and Benin, women who reported using condoms with all clients had a lower prevalence of M. genitalium than women who reported not using a condom with all clients (24% versus 33%, P = 0.02) (18). However, similar findings of a positive association between M. genitalium prevalence and condom use were observed in a study conducted among young men and women attending an STI clinic (31). Social desirability bias may be the cause of overreported condom use in the study; however, it merits further investigation of other mechanisms that may produce contradictory outcomes (43).

We also found that women who engaged in sexual intercourse during menses were less likely to have M. genitalium infection (OR, 0.2; 95% CI, 0.1 to 0.7), in contrast to previous research which found that engaging in sexual intercourse during menses increased the risk of STI, including chlamydia, genital herpes, Trichomonas infection, and syphilis (44). Previous research has shown a relationship between phases of the menstrual cycle and M. genitalium infection; women in the proliferative phase (days 6 to 14) were more likely to have infection, but no women in the menstrual phase (days 1 to 5) in the previous study were infected with M. genitalium (9). This may suggest that a biological mechanism connected to the menstrual hormone cycle may have an impact on becoming infected and/or on clearance of infection with M. genitalium.

This study is the first to our knowledge to examine a wide spectrum of potential correlates, including HPV infection and abnormal cervical lesions, in a population of female sex workers. The prevalence of M. genitalium infection was higher among women with severely abnormal (HSIL/SCC) and mildly abnormal (ASCUS/AGUS) cytologies, though there was no statistical evidence of an association. However, M. genitalium may still have a contributory role in the development of cervical neoplasia, via cervicitis and/or HPV infection, as described in other studies (32). While the natural history of M. genitalium infection is not yet well understood, it has been positively associated with cervical inflammation, a condition associated with a higher risk of cervical neoplasia (9, 25, 33, 36, 37). This relationship warrants further investigation into the prevalence and persistence of M. genitalium infection and cervical outcomes.

This study has several strengths. Data for M. genitalium were obtained using the Aptima Mgen laboratory assay, which employs TMA-based methods (39). This diagnostic assay has been shown to have a higher clinical sensitivity and specificity for M. genitalium detection than culture, which can be highly susceptible to error due to improper specimen handling (45), and to have a sensitivity and specificity for detection of M. genitalium similar to those of PCR assays for M. genitalium detection (46). The inclusion of HPV and abnormal cervical cytology in the analyses with M. genitalium was another unique aspect of this study.

One limitation of our findings is the smaller sample size of the population. As a result, the 95% confidence intervals of OR estimates from analyses were relatively imprecise (confidence limit ratio, >0.25) for several variables (47). Based on previous literature, we expected to observe associations between M. genitalium and factors such as age, education, marital status, and sexual-behavioral factors, including number of sexual partners/clients, frequent douching, and hormone contraceptive use (16, 18, 22, 31). However, a larger study sample would likely improve our power to detect correlations with M. genitalium and improve the precision of the present findings. Our results were also limited by the cross-sectional study design, as baseline data were assessed from the collection of biological, sociodemographic, and sexual behavioral data. Thus, we lacked the ability to establish temporality, and in the case of coinfections, we were unable to determine whether a participant was infected with M. genitalium prior to another pathogen and, consequently, whether the presence of one infection impacted the presence of another infection. Additionally, we collected data on sexual behaviors via self-reporting, which is subject to recall and social desirability bias (43, 48). This may have been the case with condom use frequency and other reported sexual behaviors.

Overall, the results suggest that greater frequency of condom use and duration of prostitution are associated with M. genitalium infection. To further elucidate the correlates for M. genitalium, longitudinal analyses might produce more-robust results, facilitating a better understanding of M. genitalium infection in relation to sexual behavior and other STIs. Targeted public health interventions could then be directed to treating and preventing M. genitalium and concomitant reproductive health complications in populations with higher-risk women and low-resource settings.

ACKNOWLEDGMENTS

We acknowledge the help and support of Craig Hill. We also thank the participants for their contribution to the study.

This study was supported by Hologic Gen-Probe and the UNC Center for AIDS Research (CFAR grant P30-AI50410). Suha Patel was a Howard Hughes Medical Research Fellow from 2009 to 2010. Damon Getman is an employee of Hologic Gen-Probe. Jennifer S. Smith has received unrestricted educational grants, consultancy, and research grants from Hologic Gen-Probe over the past 5 years. The remaining authors have no conflict of interest to declare.

Footnotes

Published ahead of print 6 August 2014

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