Abstract
Background:
Knowledge of STI prevalence and risk factors is important to the development of tenofovir-based pre-exposure prophylaxis (PrEP) and safer conception programming. We introduced STI screening among women at risk for HIV exposure, participating in a safer conception study in southwestern Uganda.
Methods:
We enrolled 131 HIV-uninfected women, planning for pregnancy with a partner living with HIV or of unknown HIV-serostatus (2018–2019). Women were offered comprehensive safer conception counseling, including PrEP. Participants completed interviewer-administered questionnaires detailing socio-demographics and sexual history. We integrated laboratory screening for chlamydia, gonorrhea, trichomoniasis, and syphilis as a substudy to assess STI prevalence. Multivariable logistic regression was used to determine correlates.
Results:
Ninety-four women completed STI screening (72% of enrolled). Median age was 30 (IQR 26–34) years, and 94% chose PrEP as part of safer conception care. Overall, 24% had STIs: 13% chlamydia, 2% gonorrhea, 6% trichomoniasis, 6% syphilis, and 3% ≥2 STI. STI prevalence was associated with younger age (adjusted odds ratio [AOR] 0.87, 95% confidence interval [CI] 0.77–0.99), prior stillbirth (AOR 5.04, 95% CI 1.12–22.54), and not feeling vulnerable to HIV (AOR 16.33, 95% CI 1.12–237.94).
Conclusion:
We describe a 24% curable STI prevalence among women at risk for HIV exposure, planning for pregnancy. These data highlight the importance of integrating laboratory-based STI screening into safer conception programs to maximize the health of HIV-affected women, children, and families.
Keywords: Sexually transmitted infection, women, PrEP, periconception, Uganda
SHORT SUMMARY:
This study describes a 24% curable sexually transmitted infection prevalence among HIV-affected women planning for pregnancy in Uganda, highlighting the importance of integrating STI screening into safer conception care.
Introduction
Sub-Saharan Africa (SSA) carries a high burden of sexually transmitted infections (STIs). In 2016, there were 376 million new cases of the four, major, curable STIs: Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, and Treponema pallidum, and SSA had the highest global incidence of gonorrhea and trichomoniasis among men and women1. STIs can cause adult morbidity, increase HIV transmission and acquisition risk2, and cause neonatal morbidity and mortality if transmitted perinatally3.
For people in HIV serodifferent relationships, tenofovir-based pre-exposure prophylaxis (TDF/FTC PrEP) is recommended by the World Health Organization (WHO) and many countries (including Uganda) to reduce HIV infection risk by up to 90%4. Additionally, the WHO and others emphasize the potential value of PrEP for HIV-exposed women planning for pregnancy as an efficient strategy to prevent perinatal transmission and promote women’s health4,5. In Uganda, the total fertility rate is 5.1 children per woman, and adult HIV-prevalence is approximately 7% 6,7. Thus, many women with personal and/or partner pregnancy plans may be exposed to HIV. Additionally, women are at increased risk for HIV acquisition: in Eastern and Southern Africa, young women acquire HIV at twice the rate of their male peers8. The 2016 Ugandan Ministry of Health (MoH) first recommended TDF/FTC PrEP to prevent HIV acquisition, and the Mbarara Regional Referral Hospital began offering PrEP in late 20179.
STI prevalence among many key populations at risk for HIV exposure and considering PrEP has been shown to be high10,11. The majority of this work has focused on gay, bisexual, and men who have sex with men populations in North America and Europe10,11. There is, however, scant data on PrEP and STIs among women at risk for HIV acquisition in SSA. Additionally, we are not aware of data on STI prevalence in the context of safer conception programming.
To our knowledge, no studies have determined STI prevalence through laboratory-screening in rural Uganda among women planning for pregnancy and considering PrEP as a part of safer conception care. As PrEP is disseminated across Uganda and SSA, knowledge of STI prevalence and associated risk factors will help to inform PrEP programming. In this study, we assessed STI prevalence and associated risk factors for chlamydia, gonorrhea, trichomoniasis, and syphilis among a cohort of women at-risk for HIV acquisition and seeking safer conception care.
Materials and Methods
Study design and participants
The Healthy Families PrEP Study (NCT03832530) is a mixed-methods, prospective, cohort study that assessed PrEP uptake and adherence among women at risk for HIV exposure with personal or partner plans to have a child in rural, southwestern Uganda. Inclusion criteria consisted of being an HIV-uninfected woman, 18–40 years old, fluent in the local language (Runyankole) or English, in a partnership with a man living with HIV (MLWH) or unknown HIV-serostatus, personal or partner desire to conceive a child in the coming year, and not currently pregnant. Participants attended study visits at enrollment, three, six, and nine-months. Participants exited the study if they completed nine months of follow-up or tested positive for HIV. Those with incident pregnancy were followed to the end of pregnancy.
Recruitment was conducted primarily through the Healthy Families Clinical Program, a safer conception counseling program for couples and individuals affected by HIV, housed within the HIV clinic at the Mbarara Regional Referral Hospital (MRRH)12. Additional recruitment measures included approaching women accessing HIV counseling and testing at the Mbarara Municipal Council, Bwizibwera, Kinoni, Kakoba, and MRRH outpatient clinics.
Study procedures
Counseling and questionnaires
All participants were offered quarterly safer conception counseling visits, completed a sexual behavior diary, and completed a face-to-face questionnaire administered at study enrollment and exit. A separate STI questionnaire with questions regarding STI symptoms, medical/STI history, and sexual/relationship history was administered to participants who completed enrollment STI testing13. Questionnaires were administered by research assistants in Runyankole or English. Data were collected and managed using REDCap electronic data capture tools hosted at Partners Healthcare14.
Laboratory testing
STI laboratory screening began in June 2018 as a substudy, and all new enrollees to the parent study were invited to participate. Participants provided blood to screen for Treponema pallidum via a rapid immunochromatographic test (ICT) confirmed by rapid plasma reagin (RPR). They had the option of self-collected or nurse-collected vaginal swabs to screen for Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis via nucleic acid amplification testing with GeneXpert. All participants completed beta HCG-urine pregnancy testing and rapid HIV testing.
STI treatment
Participants with positive STI testing were notified and treated the same day or within days (same-day testing was not always feasible given power instability and participant time constraints). Participants with STI symptoms alone were not treated. All STI treatment was in accordance with Ugandan MoH STI treatment guidelines9. Participants with positive syphilis ICT received treatment regardless of RPR due to its variability in different conditions15 and were given partner notification (PN) cards outlining the need for presumptive partner treatment with Benzathine penicillin. Participants with chlamydia, gonorrhea, and trichomoniasis diagnoses received patient-delivered partner medications (PDPM) to give to sexual partner(s) and PN cards which outlined the partner exposure, need for medical evaluation, and the purpose of PDPM.
Measures
The primary measure of interest of this substudy was the laboratory diagnosis of at least one STI. Pertinent covariates included age, number of sexual partners in the past three months, condom use at last sexual encounter, number of stillbirths, and a history of prior STIs, which were obtained from the questionnaires.
Statistical analysis
Descriptive statistics were calculated by median (inter-quartile range (IQR)) or mean (standard deviation (SD)). We used Fisher’s exact test to assess the association between categorical variables and STI. In constructing the multivariable logistic model, we initially included all variables with a univariable p-value ≤0.20. We then removed the variable with the highest p-value > 0.05, reran the reduced model, and repeated this process until all remaining variables had a p-value ≥ 0.05. We considered this approach with the goal of maximizing the parsimony of our model in the setting of low absolute numbers of STI from the limited sample size16. Data were analyzed with STATA V15.
Ethics
All participants provided voluntary informed consent at enrollment. Ethical approval was provided by the research ethics boards of Massachusetts General Hospital, University of Alabama at Birmingham, and Mbarara University of Science and Technology. Consistent with national guidelines, approvals were obtained from the Uganda National Council for Science and Technology and the Research Secretariat in the Office of the President.
Results
Participant socio-demographic characteristics
All 131 women who met parent study inclusion criteria and all 94 participants who were offered STI substudy participation consented. Among the 94 study participants who completed enrollment STI screening, the median age was 30 (IQR 26–34) years. The majority of participants, 87 (93%) were married or living as married with their primary pregnancy partner. Twenty-six women (28%) reported a prior sexual partner with STI. Among 92 women reporting sexual intercourse in the prior three months, 59 (64%) reported condom use at last sexual encounter with her primary partner. Almost all women in this sample (94%) chose to initiate PrEP. Most participants, 91 (97%), chose to self-collect vaginal swabs (Table 1).
Table 1:
Demographics among 94 women at-risk for HIV acquisition, considering PrEP, and seeking safer conception care - with STI compared to those without STI
| Total participants (n=94) | Total | Total |
Women with STI (n=23) | Women without STI (n=71) | p-value | |||
|---|---|---|---|---|---|---|---|---|
| N Median |
(%) [IQR] |
N Median |
(%) [IQR] |
N Median |
(%) [IQR] |
|||
| Median age [IQR] | 94 | 30 | (26–34) | 27 | (24–31) | 30 | (27–34) | 0.02 |
| Education | 94 | 1.00 | ||||||
| no school or primary school | 47 | (50%) | 12 | (52%) | 35 | (49%) | ||
| secondary school or above | 47 | (50%) | 11 | (48%) | 36 | (51%) | ||
| Employment | 94 | 0.18 | ||||||
| part-time, full-time, or self-employed | 68 | (72%) | 14 | (61%) | 54 | (76%) | ||
| not employed | 26 | (28%) | 9 | (39%) | 17 | (24%) | ||
| Relationship status | 92 | 0.60 | ||||||
| Married or living as married | 87 | (95%) | 21 | (91%) | 66 | (96%) | ||
| Has boyfriend | 5 | (5%) | 2 | (9%) | 3 | (4%) | ||
| Median age difference between primary partner and participant in years [IQR] | 92 | 6 | (2–11.5) | 7 | (2–11) | 6 | (2–12) | 0.96 |
| Median household monthly income $USD [IQR] | 94 | $40 | ($16 – $81) | $27 | ($13 – $81) | $40 |
($22 – $81) | 0.41 |
| Home ownership | 94 | 38 | (40%) | 6 | (26%) | 32 | (45%) | 0.14 |
| Median number of pregnancies | 94 | 3 | (2 – 4) | 2 | (2 – 3) | 3 | (2 – 4) | 0.21 |
| Median number of livebirths | 87* | 2 | (1 – 3) | 2 | (1 – 2) | 2 | (1 – 3) | 0.26 |
| Prior miscarriage | 87* | 38 | (44%) | 6 | (32%) | 32 | (47%) | 0.30 |
| Prior stillbirth | 87* | 10 | (11%) | 5 | (26%) | 5 | (7%) | 0.04 |
| Median total fertility score14** | 94 | 1 | (0 – 2) | 1 | (0 – 3) | 1 | (1 – 2) | 0.57 |
| Prior STI | 94 | 32 | (34%) | 3 | (13%) | 29 | (41%) | 0.02 |
| Partner with prior STI | 93 | 0.19 | ||||||
| Yes | 26 | (28%) | 3 | (13%) | 23 | (31%) | ||
| I don’t know | 11 | (12%) | 3 | (13%) | 8 | (11%) | ||
| No | 56 | (60% | 17 | (74%) | 40 | (58%) | ||
| History of exchanging sex for goods | 88 | 18 | (20%) | 6 | (30%) | 12 | (18%) | 0.34 |
| Current primary partner physically hurts or threatens | 88 | 13 | (15%) | 4 | (20%) | 9 | (13%) | 0.48 |
| ≥2 sexual partner in the past 3 months | 94 | 8 | (9%) | 5 | (22%) | 3 | (4%) | 0.02 |
| Condomless sex during last sexual encounter with primary partner | 92*** | 59 |
(64%) | 18 | (78%) | 41 | (59%) | 0.13 |
| Knowledge of primary partner’s HIV status**** | 92*** | 70 | (76%) | 18 | (78%) | 52 | (75%) | 1.00 |
| Feel vulnerable to HIV | 94 | 89 | (95%) | 19 | (83%) | 70 | (99%) | 0.01 |
| Started PrEP | 94 | 88 | (94%) | 21 | (91%) | 67 | (94%) | 0.63 |
| Sexual and relationship power scale16***** | 94 | 0.34 | ||||||
| Low score | 47 | (50%) | 14 | (61%) | 33 | (46%) | ||
| Medium/high score | 47 | (50%) | 9 | (39%) | 38 | (54%) | ||
Seven women reported no prior pregnancies
The total fertility score is based on a summation of eight questions on menses, pelvic pain/surgery, and STI. The higher number indicates more risk of infertility.
Two women reported no sexual activity in the past three months
All participants who knew their primary partner’s HIV status had partners living with HIV
The sexual and relationship power scale is a summation of 23 questions.
STI participant prevalence and treatment
Among the 94 women screened for STI, 23 (24%) had at least 1 STI including 12 (13%) with chlamydia, 2 (2%) with gonorrhea, 6 (6%) with trichomoniasis, 6 (6%) with syphilis, and 3 (3%) with STI co-infection (Figure 1). All participants with STI received treatment at the study-site.
Figure 1:
STI prevalence among 94 women at-risk for HIV exposure, considering PrEP, and seeking safer conception care
*Two participants with chlamydia/syphilis coinfection and one participant with chlamydia/trichomoniasis coinfection
STI partner notification and treatment
Among the 23 participants with STI, 22/23 (96%) were provided with PN cards and 16/19 (84%) eligible participants were given PDPM.
Factors associated with STI
In the adjusted model, younger age ([AOR]: 0.87 for each year; 95%CI: 0.77– 0.99), prior stillbirth (AOR: 5.04; 95% CI: 1.12–22.54), and not feeling vulnerable to HIV (AOR: 16.33, 95% CI: 1.12–237.94) remained significantly associated with having a current STI (Table 2).
Table 2:
Factors associated with enrollment STI using unadjusted and adjusted multivariable linear regression among 94 women at-risk for HIV exposure, considering PrEP, and seeking safer conception care
| Covariate | Unadjusted analysis | Adjusted analysis | ||||
|---|---|---|---|---|---|---|
| Crude Odds Ratio | (95% CI) | p-value | Adjusted Odds Ratio | (95% CI) | p-value | |
| Age | 0.89 | (0.78 – 1.02) | 0.105 | 0.87 | (0.77 – 0.99) | 0.029 |
| Employed | 0.33 | (0.77 – 1.37) | 0.127 | -- | -- | |
| Home ownership | 0.53 | (0.13 – 2.06) | 0.355 | -- | -- | |
| Prior stillbirth | 4.28 | (0.77 – 23.70) | 0.096 | 5.04 | (1.13 – 22.54) | 0.034 |
| Prior STI | 0.35 | (0.07 – 1.67) | 0.186 | -- | -- | |
| Partner with prior STI | 0.82 | (0.32 – 2.10) | 0.675 | -- | -- | |
| ≥2 sexual partner in the past 3 months | 2.51 | (0.33 – 19.14) | 0.374 | -- | -- | |
| Condomless sex during last sexual encounter with primary partner | 2.58 | (0.58 – 11.58) | 0.215 | -- | -- | |
| Do not feel vulnerable to HIV | 17.85 | (1.17 – 273.12) | 0.038 | 16.33 | (1.12 – 237.94) | 0.041 |
Discussion
To our knowledge, this is one of the first studies in SSA to demonstrate STI prevalence among women desiring pregnancy, at risk for HIV exposure, and seeking safer conception care. We describe a high, 24% STI burden among a population of women at risk for HIV with plans for pregnancy. Given the implications of undiagnosed STI for maternal and child health, these data highlight the importance of implementing STI screening for women and partners as part of safer conception care.
Our data demonstrate a high STI prevalence in Uganda similar to that of other areas in Eastern and Southern Africa. The VOICE trial, assessing topical and oral PrEP among 4,843 women, found a 20% prevalence of chlamydia, gonorrhea, trichomoniasis, and syphilis in South Africa, Uganda, and Zimbabwe17. Additionally, the ECHO trial, assessing HIV risk among women using contraception, found an 18% chlamydia and 5% gonorrhea prevalence across South Africa, Zambia, and Kenya18.
We found several factors associated with STI prevalence. We observed an association between STI and prior stillbirth, despite women with STI being younger, with fewer pregnancies, fewer livebirths, and fewer miscarriages. Syphilis accounts for 11% of stillbirths in SSA19, and though our cohort was small and not powered to determine the effect of any one STI, our findings support the correlation between stillbirth and syphilis as well as adverse pregnancy outcome and STI found across the world20. Uganda has a high prevalence of both syphilis and stillbirth, and while Ugandan clinical guidelines include antenatal syphilis point-of-care (POC) screening and treatment, in 2018 only 57% of antenatal clinic attendees received first-visit, laboratory screening for syphilis9,21. The profound impact of stillbirth, precipitated in part by curable STIs, strongly argue for the prioritization of antenatal and pre-conception STI screening.
A history of STI is a strong predictor of future STI22,23, but in our cohort, prior self-reported STI was significantly associated with a lack of current STI. The Carraguard study, a prospective HIV-prevention trial of nearly 15,000 South African women found that baseline STI was significantly associated with incident STI23. Reasons for our differing results may include misdiagnosis with the STI syndromic approach, protective immunity secondary to chlamydia24, and women with prior STI receiving effective counseling to prevent STI recurrence.
This analysis is limited by a small, cross-sectional dataset, though it is strengthened by high quality laboratory assessment.
Our findings highlight a high STI burden not previously described among Ugandan women at risk for HIV exposure and planning for pregnancy. Rapid advancements in STI POC technology provide hope for appropriate STI diagnoses, but as demonstrated by syphilis, even when POC testing is available, implementation can lag. Thus, we need to prioritize both the development and dissemination of POC diagnostics. Laboratory-based STI diagnostics will allow a greater emphasis on PN and a better understanding of how to break the transmission cycle. Understanding STI epidemiology and risk factors is the first step towards designing interventions for STI screening and treatment, especially as safer conception and PrEP programs expand across SSA.
Acknowledgements:
We would like to thank our participants for their contribution to this study. We would also like to thank several colleagues including, Deogratious Tukwasibwe3,4, Alice Najjuma3,4, JohnMary Tumwine4, Cathy Kyampire4, Sylvia Natukynda4, Adolf Byamukama2, Yona Mbalibulha2. And a special thank you to Kathy Hsu for her advice and support9,10. Thank you to Cepheid Inc for the GeneXpert cartridge donation as well as Gilead Sciences for their donation of tenofovir-based pre-exposure prophylaxis (TDF/FTC PrEP).
Funding Sources: This study is funded through the Doris Duke Charitable Foundation. PC received funding from the National Institute of Allergy and Infectious Diseases under award number T32 AI007433, and from the Fogarty International Center and National Institute of Mental Health under award number D43 TW010543 all under the National Institutes of Health. JEH is supported by K24MH114732. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Footnotes
Conflicts of Interest and Source of Funding: The authors have no conflicts of interest to disclose.
References
- 1.Rowley J, Vander Hoorn S, Korenromp E, et al. Chlamydia, gonorrhoea, trichomoniasis and syphilis: global prevalence and incidence estimates, 2016. Bull World Health Organ. 2019;97(8):548–562P. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sexton J, Garnett G, Rottingen JA. Metaanalysis and metaregression in interpreting study variability in the impact of sexually transmitted diseases on susceptibility to HIV infection. Sex Transm Dis. 2005;32(6):351–357. [DOI] [PubMed] [Google Scholar]
- 3.Gomez GB, Kamb ML, Newman LM, Mark J, Broutet N, Hawkes SJ. Untreated maternal syphilis and adverse outcomes of pregnancy: a systematic review and meta-analysis. Bull World Health Organ. 2013;91(3):217–226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV. In: WHO/UNAIDS, ed. Switzerland: 2015. [PubMed] [Google Scholar]
- 5.Matthews LT, Beyeza-Kashesya J, Cooke I, et al. Consensus statement: Supporting Safer Conception and Pregnancy For Men And Women Living with and Affected by HIV. LID - 10.1007/s10461–017-1777–7 [doi]. (1573–3254 (Electronic)). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Group TWB. Fertility rate, total (births per woman). 2018; https://data.worldbank.org/indicator/SP.DYN.TFRT.IN. Accessed August 3, 2018.
- 7.UNAIDS. Uganda Country Fact Sheet 2016. 2018; http://www.unaids.org/en/regionscountries/countries/uganda. Accessed January 30, 2018.
- 8.UNAIDS. When women lead change happens: women advancing the end of AIDS. In: UNAIDS, ed2017. [Google Scholar]
- 9.Uganda Clinical Guidelines 2016: National Guidelines for Management of Common Conditions In: The Republic of Uganda MoH, ed. Uganda: Ministry of Health Uganda; 2016. [Google Scholar]
- 10.Liu AY, Cohen SE, Vittinghoff E, et al. Preexposure Prophylaxis for HIV Infection Integrated With Municipal- and Community-Based Sexual Health Services. JAMA Intern Med. 2016;176(1):75–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Molina J-M, Capitant C, Spire B, et al. On-Demand Preexposure Prophylaxis in Men at High Risk for HIV-1 Infection. N Engl J Med. 2015;373(23):2237–2246. [DOI] [PubMed] [Google Scholar]
- 12.Matthews LT YC, Tukwasibwe D, Najjuma A, Owembabazi M, O’Neil K, et al. Who seeks safer conception care in Uganda? A call for client-centered care for men and women affected by HIV. #TUPEC476. Paper presented at: International AIDS Society Scientific Meeting; July 2019, 2019; Mexico City, Mexico. [Google Scholar]
- 13.Kaida A, Dietrich JJ, Laher F, et al. A high burden of asymptomatic genital tract infections undermines the syndromic management approach among adolescents and young adults in South Africa: implications for HIV prevention efforts. BMC Infect Dis. 2018;18(1):499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Harris PA, Taylor R, Minor BL, et al. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019;95:103208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Hamill MM, Mbazira KJ, Kiragga AN, et al. Challenges of Rapid Plasma Reagin Interpretation in Syphilis Screening in Uganda: Variability in Nontreponemal Results Between Different Laboratories. Sex Transm Dis. 2018;45(12):829–833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Heinze G, Wallisch C, Dunkler D . Variable selection - A review and recommendations for the practicing statistician. Biom J. 2018;60(3):431–449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chirenje ZM, Gundacker HM, Richardson B, et al. Risk Factors for Incidence of Sexually Transmitted Infections Among Women in a Human Immunodeficiency Virus Chemoprevention Trial: VOICE (MTN-003). Sex Transm Dis. 2017;44(3):135–140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.#IAS2019: High HIV & STI rates in ECHO analyses [press release]. Health E-News2019.
- 19.Lawn JE BH, Waiswa P, et al. Stillbirths: rates, risk factors, and acceleration towards 2030. Lancet. 2016;387(10018):587–603. [DOI] [PubMed] [Google Scholar]
- 20.Goldenberg RL, McClure EM, Saleem S, Reddy UM. Infection-related stillbirths. Lancet. 2010;375(9724):1482–1490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.WHO/UNAIDS. WHO, Global Health Observatory Data Repository, Antenatal care (ANC) attendees tested for syphilis at first ANC visit, Data by country. http://apps.who.int/gho/data/node.main.A1358STI. Accessed August 1, 2019.
- 22.Abbai NS, Wand H, Ramjee G. Sexually Transmitted Infections in Women Participating in a Biomedical Intervention Trial in Durban: Prevalence, Coinfections, and Risk Factors. J Sex Transm Dis. 2013;2013:358402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wand H, Ramjee G. Biological impact of recurrent sexually transmitted infections on HIV seroconversion among women in South Africa: results from frailty models. J Int AIDS Soc. 2015;18:19866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Batteiger BE, Xu F, Johnson RE, Rekart ML. Protective immunity to Chlamydia trachomatis genital infection: evidence from human studies. J Infect Dis. 2010;201 Suppl 2:S178–189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bunting L, Boivin J. Development and preliminary validation of the fertility status awareness tool: FertiSTAT. Hum Reprod. 2010;25(7):1722–1733. [DOI] [PubMed] [Google Scholar]
- 26.Pulerwitz J, Gortmaker SL, De Jong W. Measuring Sexual Relationship Power in HIV/STD Research. Sex Roles. 2000;42((7/8)):637–620. [Google Scholar]

