Factors associated with the prevalence of HIV, HSV-2, pregnancy, and reported sexual activity among adolescent girls in rural western Kenya: A cross-sectional analysis of baseline data in a cluster randomized controlled trial

Garazi Zulaika, Elizabeth Nyothach, Anna Maria van Eijk, David Obor, Linda Mason, Duolao Wang, Tao Chen, Emily Kerubo, Valarie Opollo, Isaac Ngere, Samuel Omondi Owino, Boaz Oyaro, Feiko O Ter Kuile, Daniel Kwaro, Penelope Phillips-Howard, Garazi Zulaika, Elizabeth Nyothach, Anna Maria van Eijk, David Obor, Linda Mason, Duolao Wang, Tao Chen, Emily Kerubo, Valarie Opollo, Isaac Ngere, Samuel Omondi Owino, Boaz Oyaro, Feiko O Ter Kuile, Daniel Kwaro, Penelope Phillips-Howard

Abstract

Background: Adolescence is a sensitive time for girls' sexual and reproductive health (SRH), as biological changes occur concurrently with heightening pressures for sexual activity. In western Kenya, adolescent girls are vulnerable to acquiring sexually transmitted infections (STIs), such as HIV and herpes simplex virus type 2 (HSV-2), and to becoming pregnant prior to reaching adulthood. This study examines associations between individual, household, and partner-related risk factors and the prevalence of sex, adolescent pregnancy, HIV, and HSV-2.

Methods and findings: We report baseline findings among 4,138 girls attending secondary school who were enrolled between 2017 and 2018 in the Cups or Cash for Girls (CCG) cluster randomized controlled trial in Siaya County, rural western Kenya. Laboratory confirmed biomarkers and survey data were utilized to assess the effects of girls' individual, household, and partner characteristics on the main outcome measures (adolescent reported sex, prior pregnancy, HIV, and HSV-2) through generalized linear model (GLM) analysis. Complete data were available for 3,998 girls (97%) with median age 17.1 years (interquartile range [IQR] 16.3 to 18.0 years); 17.2% were HSV-2 seropositive (n = 686) and 1.7% tested positive for HIV (n = 66). Sexual activity was reported by 27.3% girls (n = 1,090), of whom 12.2% had been pregnant (n = 133). After adjustment, orphanhood (adjusted risk ratio [aRR] 2.81, 95% confidence interval [CI] 1.18 to 6.71, p-value [p] = 0.020), low body mass index (BMI) (aRR 2.07; CI: 1.00 to 4.30, p = 0.051), and age (aRR 1.34, 1.18 to 1.53, p < 0.001) were all associated with HIV infection. Girls reporting light menstrual bleeding (aRR 2.42, 1.22 to 4.79, p = 0.012) for fewer than 3 days (aRR 2.81, 1.16 to 6.82, p = 0.023) were over twice as likely to have HIV. Early menarche (aRR 2.05, 1.33 to 3.17, p = 0.001) was associated with adolescent pregnancy and HSV-2-seropositive girls reported higher rates of pregnancy (aRR 1.62, CI: 1.16 to 2.27, p = 0.005). High BMI was associated with HSV-2 (aRR 1.24, 1.05 to 1.46, p = 0.010) and sexual activity (aRR 1.14, 1.02 to 1.28, p = 0.016). High levels of harassment were detected in the cohort (41.2%); being touched indecently conveyed the strongest association related to reported sexual activity (aRR 2.52, 2.26 to 2.81, p < 0.001). Study limitations include the cross-sectional design of the study, which informs on the SRH burdens found in this population but limits causal interpretation of associations, and the self-reported exposure ascertainment, which may have led to possible underreporting of risk factors, most notably prior sexual activity.

Conclusions: Our findings indicate that adolescent girls attending school in Kenya face frequent harassment for sex and are at high risk of pregnancy and HSV-2, with girls experiencing early menarche particularly vulnerable. Targeted interventions, such as earlier sexual education programs, are warranted to address their vulnerability to SRH harms.

Trial registration: ClinicalTrials.gov NCT03051789.

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1. Flow diagram of CCG Trial…
Fig 1. Flow diagram of CCG Trial participant inclusion.
Fig 2. Combined baseline prevalence of HIV,…
Fig 2. Combined baseline prevalence of HIV, HSV-2, and history of pregnancy among CCG girls (n = 3,998).
CCG, Cups or Cash for Girls Trial; HIV, human immunodeficiency virus; HSV-2, herpes simplex virus type 2.
Fig 3. Combined baseline prevalence of HIV,…
Fig 3. Combined baseline prevalence of HIV, HSV-2, and history of pregnancy among sexually active CCG girls (n = 1,090).
CCG, Cups or Cash for Girls Trial; HIV, human immunodeficiency virus; HSV-2, herpes simplex virus type 2.

References

    1. Viner RM, Ozer EM, Denny S, Marmot M, Resnick M, Fatusi A, et al.. Adolescence and the social determinants of health. Lancet. 2012;379(9826):1641–52. Epub 2012/04/28. doi: 10.1016/S0140-6736(12)60149-4 .
    1. Blum RW, Bastos FI, Kabiru CW, Le LC. Adolescent health in the 21st century. Lancet. 2012;379(9826):1567–8. Epub 2012/04/28. doi: 10.1016/S0140-6736(12)60407-3 .
    1. Bearinger LH, Sieving RE, Ferguson J, Sharma V. Global perspectives on the sexual and reproductive health of adolescents: patterns, prevention, and potential. Lancet. 2007;369(9568):1220–31. doi: 10.1016/S0140-6736(07)60367-5
    1. Mensch BS, Clark WH, Lloyd CB, Erulkar AS. Premarital sex, schoolgirl pregnancy, and school quality in rural Kenya. Stud Fam Plan. 2001;32(4):285–301. Epub 2002/02/08. doi: 10.1111/j.1728-4465.2001.00285.x .
    1. Biddlecom A, Gregory R, Lloyd CB, Mensch BS. Associations Between Premarital Sex and Leaving School in Four Sub-Saharan African Countries. Stud Fam Plan. 2008;39 (4):337–50. doi: 10.1111/j.1728-4465.2008.00179.x
    1. Hargreaves J, Morison L, Kim J, Bonell C, Porter J, Watts C, et al.. The association between school attendance, HIV infection and sexual behaviour among young people in rural South Africa. J Epidemiol Community Health. 2008;62 (2):113–9. doi: 10.1136/jech.2006.053827
    1. Auvert B, Buvé A, Ferry B, Caraël M, Morison L, Lagarde E, et al.. Ecological and individual level analysis of risk factors for HIV infection in four urban populations in sub-Saharan Africa with different levels of HIV infection. AIDS. 2001;15:S15–30. doi: 10.1097/00002030-200108004-00003
    1. Jukes M, Simmons S, Bundy D. Education and vulnerability: the role of schools in protecting young women and girls from HIV in southern Africa. AIDS. 2008;22:S41–56. doi: 10.1097/01.aids.0000341776.71253.04
    1. Patton GC, Coffey C, Sawyer SM, Viner RM, Haller DM, Bose K, et al.. Global patterns of mortality in young people: a systematic analysis of population health data. Lancet. 2009;374(9693):881–92. Epub 2009/09/15. S0140-6736(09)60741-8 [pii] doi: 10.1016/S0140-6736(09)60741-8 .
    1. Chaaban J, Cunningham W. Measuring the Economic Gain of Investing in Girls—The Girl Effect Dividend. Washington, DC: World Bank; 2011.
    1. Kumar M, Huang K-Y, Othieno C, Wamalwa D, Madeghe B, Osok J, et al.. Adolescent pregnancy and challenges in Kenyan context: perspectives from multiple community stakeholders. Glob Soc Welf. 2018;5(1):11–27. doi: 10.1007/s40609-017-0102-8
    1. International Planned Parenthood Federation. Youth and Abortion: Key strategies and promising practices for increasing access to abortion services. London: UK; 2014.
    1. WHO. Adolescent pregnancy 2020. Available from: .
    1. Sawyer SM, Afifi RA, Bearinger LH, Blakemore S-J, Dick B, Ezeh AC, et al.. Adolescence: a foundation for future health. Lancet. 2012;379 (9826):1630–40. doi: 10.1016/S0140-6736(12)60072-5
    1. United Nations International Children’s Emergency Fund (UNICEF). The State of the World’s Children 2011: Adolescence–An Age of Opportunity; 2011.
    1. Pettifor A, MacPhail C, Selin A, Gómez-Olivé FX, Rosenberg M, Wagner RG, et al.. HPTN 068: a randomized control trial of a conditional cash transfer to reduce HIV infection in young women in South Africa—study design and baseline results. AIDS Behav. 2016;20 (9):1863–82. doi: 10.1007/s10461-015-1270-0
    1. Phillips-Howard PA, Odhiambo FO, Hamel M, Adazu K, Ackers M, van Eijk AM, et al.. Mortality trends from 2003 to 2009 among adolescents and young adults in rural Western Kenya using a health and demographic surveillance system. PLoS ONE. 2012;7(11):e47017. doi: 10.1371/journal.pone.0047017
    1. UNAIDS W. Kenya Country Fact Sheets: HIV and AIDS Estimates. 2018. Available from: .
    1. Kouyoumjian SP, Heijnen M, Chaabna K, Mumtaz GR, Omori R, Vickerman P, et al.. Global population-level association between herpes simplex virus 2 prevalence and HIV prevalence. Aids (London, England). 2018;32(10):1343. doi: 10.1097/QAD.0000000000001828
    1. Obasi A, Mosha F, Quigley M, Sekirassa Z, Gibbs T, Munguti K, et al.. Antibody to herpes simplex virus type 2 as a marker of sexual risk behavior in rural Tanzania. J Infect Dis. 1999;179 (1):16–24. doi: 10.1086/314555
    1. Baird SJ, Garfein RS, McIntosh CT, Ozler B. Effect of a cash transfer programme for schooling on prevalence of HIV and herpes simplex type 2 in Malawi: a cluster randomised trial. Lancet. 2012;379(9823):1320–9. Epub 2012/02/22. doi: 10.1016/S0140-6736(11)61709-1 .
    1. Luseno WK, Hallfors DD, Cho H, Iritani BJ, Adze J, Rusakaniko S, et al.. Use of HIV and HSV-2 biomarkers in sub-saharan adolescent prevention research: a comparison of two approaches. J Prim Prev. 2014;35(3):181–91. doi: 10.1007/s10935-014-0343-6 ; PubMed Central PMCID: PMC3996329.
    1. Looker KJ, Elmes JA, Gottlieb SL, Schiffer JT, Vickerman P, Turner KM, et al.. Effect of HSV-2 infection on subsequent HIV acquisition: an updated systematic review and meta-analysis. Lancet Infect Dis. 2017;17 (12):1303–16. doi: 10.1016/S1473-3099(17)30405-X
    1. Magadi MA, Agwanda AO. Determinants of transitions to first sexual intercourse, marriage and pregnancy among female adolescents: evidence from South Nyanza, Kenya. J Biosoc Sci. 2009;41(3):409–27. Epub 2008/11/28. S0021932008003210 [pii] doi: 10.1017/S0021932008003210 .
    1. Hewett PC, Mensch BS, Erulkar AS. Consistency in the reporting of sexual behaviour by adolescent girls in Kenya: a comparison of interviewing methods. Sex Transm Infect. 2004;80(Suppl 2):43–8. doi: 10.1136/sti.2004.013250
    1. Juma M, Alaii J, Bartholomew LK, Askew I, Van den Borne B. Risky sexual behavior among orphan and non-orphan adolescents in Nyanza Province, Western Kenya. AIDS Behav. 2013;17(3):951–60. doi: 10.1007/s10461-012-0336-5
    1. Abu-Raddad LJ, Magaret AS, Celum C, Wald A, Longini IM Jr., Self SG, et al.. Genital herpes has played a more important role than any other sexually transmitted infection in driving HIV prevalence in Africa. PLoS ONE. 2008;3(5):e2230. Epub 2008/05/22. doi: 10.1371/journal.pone.0002230; PubMed Central PMCID: PMC2377333.
    1. National AIDS Control Council/Kenya. Kenya HIV estimates: Report 2018. NACC Nairobi; 2018.
    1. Amornkul PN, Vandenhoudt H, Nasokho P, Odhiambo F, Mwaengo D, Hightower A, et al.. HIV prevalence and associated risk factors among individuals aged 13–34 years in Rural Western Kenya. PLoS ONE. 2009;4(7):e6470. Epub 2009/08/04. doi: 10.1371/journal.pone.0006470; PubMed Central PMCID: PMC2714463.
    1. Otieno FO, Ndivo R, Oswago S, Pals S, Chen R, Thomas T, et al.. Correlates of prevalent sexually transmitted infections among participants screened for an HIV incidence cohort study in Kisumu, Kenya. Int J STD AIDS. 2014. doi: 10.1177/0956462414532447.
    1. Zulaika G, Kwaro D, Nyothach E, Wang D, Zielinski-Gutierrez E, Mason L, et al.. Menstrual cups and cash transfer to reduce sexual and reproductive harm and school dropout in adolescent schoolgirls: study protocol of a cluster-randomised controlled trial in western Kenya. BMC Public Health. 2019;19 (1):1317. doi: 10.1186/s12889-019-7594-3
    1. Odhiambo FO, Laserson KF, Sewe M, Hamel MJ, Feikin DR, Adazu K, et al.. Profile: The KEMRI/CDC Health and Demographic Surveillance System—Western Kenya. Int J Epidemiol 2012;41(4):977–87. Epub 2012/08/31. doi: 10.1093/ije/dys108 .
    1. Cohen D, Atieno-Odhiambo E. Siaya: The Historical Anthropology of an African Landscape. London: James Currey, Ltd; 1989.
    1. National Malaria Control Programme—NMCP/Kenya, Kenya National Bureau of Statistics—KNBS, ICF International. Kenya Malaria Indicator Survey 2015. Nairobi, Kenya: NMCP, KNBS, and ICF International; 2016.
    1. Kenya National Bureau of Statistics, Ministry of Health/Kenya, National AIDS Control Council/Kenya, Kenya Medical Research Institute, Population NCf, Development/Kenya. Kenya Demographic and Health Survey 2014. Rockville, MD, USA; 2015.
    1. Omoro T, Gray SC, Otieno G, Mbeda C, Phillips-Howard PA, Hayes T, et al.. Teen pregnancy in rural western Kenya: a public health issue. Int J Adolesc Youth. 2018;23(4):399–408.
    1. Desai M, Phillips-Howard PA, Odhiambo FO, Katana A, Ouma P, Hamel MJ, et al.. An analysis of pregnancy-related mortality in the KEMRI/CDC health and demographic surveillance system in western Kenya. PLoS ONE. 2013;8(7):e68733. doi: 10.1371/journal.pone.0068733
    1. Erulkar AS. The experience of sexual coercion among young people in Kenya. Int Fam Plan Perspect. 2004:182–9. doi: 10.1363/3018204
    1. Phillips-Howard PA, Nyothach E, Ter Kuile FO, Omoto J, Wang D, Zeh C, et al.. Menstrual cups and sanitary pads to reduce school attrition, and sexually transmitted and reproductive tract infections: a cluster randomised controlled feasibility study in rural western Kenya. BMJ Open. 2016;6(11):e013229. doi: 10.1136/bmjopen-2016-013229
    1. Austrian K, Soler-Hampejsek E, Kangwana B, Maddox N, Wado YD, Abuya B, et al.. Adolescent Girls Initiative–Kenya: Endline evaluation report. 2020.
    1. Amek N, Vounatsou P, Obonyo B, Hamel M, Odhiambo F, Slutsker L, et al.. Using health and demographic surveillance system (HDSS) data to analyze geographical distribution of socio-economic status; an experience from KEMRI/CDC HDSS. Acta Trop. 2015;144:24–30. doi: 10.1016/j.actatropica.2015.01.006
    1. Odhiambo FO, Laserson KF, Sewe M, Hamel MJ, Feikin DR, Adazu K, et al.. Profile: the KEMRI/CDC health and demographic surveillance system—Western Kenya. Int J Epidemiol. 2012;41 (4):977–87. doi: 10.1093/ije/dys108
    1. Varni JW, Burwinkle TM, Seid M. The PedsQL 4.0 as a school population health measure: feasibility, reliability, and validity. Qual Life Res. 2006;15(2):203–15. Epub 2006/02/10. doi: 10.1007/s11136-005-1388-z .
    1. NASCOP. The Kenya HIV Testing Services Guidelines. Nairobi: National AIDS and STI Control Programme (NASCOP) Ministry of Health; 2015. ISBN– 13 978 9966 038 07 4.
    1. HSV type 2 IgG: An enzyme immunoassay specific for IgG antibodies to type 2 Herpes simplex virus in human serum. In: Ltd KB, editor. 2019.
    1. Patel EU, Manucci J, Kahle EM, Lingappa JR, Morrow RA, Piwowar-Manning E, et al.. Precision of the Kalon Herpes Simplex Virus Type 2 IgG ELISA: an international inter-laboratory assessment. BMC Infect Dis. 2015;15(1):1–9. doi: 10.1186/s12879-015-1130-6
    1. Downing J, Bellis MA. Early pubertal onset and its relationship with sexual risk taking, substance use and anti-social behaviour: a preliminary cross-sectional study. BMC Public Health. 2009;9(1):446. doi: 10.1186/1471-2458-9-446
    1. Barlow SE. Expert committee recommendations regarding the prevention, assessment, and treatment of child and adolescent overweight and obesity: summary report. Pediatrics. 2007;120(Supplement 4):S164–S92.
    1. Kabudula CW, Houle B, Collinson MA, Kahn K, Tollman S, Clark S. Assessing changes in household socioeconomic status in rural South Africa, 2001–2013: a distributional analysis using household asset indicators. Soc Indic Res. 2017;133(3):1047–73. doi: 10.1007/s11205-016-1397-z
    1. Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004;159(7):702–6. doi: 10.1093/aje/kwh090
    1. Borgdorff MW, Kwaro D, Obor D, Otieno G, Kamire V, Odongo F, et al.. HIV incidence in western Kenya during scale-up of antiretroviral therapy and voluntary medical male circumcision: a population-based cohort analysis. Lancet HIV. 2018;5(5):e241–e9. doi: 10.1016/S2352-3018(18)30025-0
    1. Ibitoye M, Choi C, Tai H, Lee G, Sommer M. Early menarche: A systematic review of its effect on sexual and reproductive health in low-and middle-income countries. PLoS ONE. 2017;12(6):e0178884. doi: 10.1371/journal.pone.0178884
    1. Halpern CT, King RB, Oslak SG, Udry JR. Body mass index, dieting, romance, and sexual activity in adolescent girls: Relationships over time. J Res Adolesc. 2005;15(4):535–59.
    1. Soler-Hampejsek E, Hewett PC, Spielman K, Austrian K. Transitions to adulthood and the changing body mass index of adolescent girls in Zambia. Ann N Y Acad Sci. 2020;1468(1):74. doi: 10.1111/nyas.14291
    1. Oh C-M, Oh I-H, Choi K-S, Choe B-K, Yoon T-Y, Choi J-M. Relationship between body mass index and early menarche of adolescent girls in Seoul. J Prev Med Public Health. 2012;45(4):227. doi: 10.3961/jpmph.2012.45.4.227
    1. He Q, Karlberg J. BMI in childhood and its association with height gain, timing of puberty, and final height. Pediatr Res. 2001;49(2):244–51. doi: 10.1203/00006450-200102000-00019
    1. Oruko K, Nyothach E, Zielinski-Gutierrez E, Mason L, Alexander K, Vulule J, et al.. ’He is the one who is providing you with everything so whatever he says is what you do’: A Qualitative Study on Factors Affecting Secondary Schoolgirls’ Dropout in Rural Western Kenya. PLoS ONE. 2015;10(12):e0144321. doi: 10.1371/journal.pone.0144321.
    1. Veenema TG, Thornton CP, Corley A. The public health crisis of child sexual abuse in low and middle income countries: An integrative review of the literature. Int J Nurs Stud. 2015;52(4):864–81. doi: 10.1016/j.ijnurstu.2014.10.017
    1. Norman RE, Byambaa M, De R, Butchart A, Scott J, Vos T. The long-term health consequences of child physical abuse, emotional abuse, and neglect: a systematic review and meta-analysis. PLoS Med. 2012;9(11):e1001349. doi: 10.1371/journal.pmed.1001349
    1. Park N. The role of subjective well-being in positive youth development. Ann Am Acad Pol Soc Sci. 2004;591(1):25–39.
    1. Kane S, Miedema E, Dieleman M, Broerse J. ‘You have a child who will call you “mama”‘: understanding adolescent pregnancy in South Sudan. Glob Health Action. 2019;12(1):1553282. doi: 10.1080/16549716.2018.1553282
    1. Mchunu G, Peltzer K, Tutshana B, Seutlwadi L. Adolescent pregnancy and associated factors in South African youth. Afr Health Sci. 2012;12(4):426–34. doi: 10.4314/ahs.v12i4.5
    1. Yakubu I, Salisu WJ. Determinants of adolescent pregnancy in sub-Saharan Africa: a systematic review. Reprod Health. 2018;15(1):15. doi: 10.1186/s12978-018-0460-4
    1. Wado YD, Sully EA, Mumah JN. Pregnancy and early motherhood among adolescents in five East African countries: a multi-level analysis of risk and protective factors. BMC Pregnancy Childbirth. 2019;19(1):59. doi: 10.1186/s12884-019-2204-z
    1. Were M. Determinants of teenage pregnancies: The case of Busia District in Kenya. Econ Hum Biol. 2007;5(2):322–39. doi: 10.1016/j.ehb.2007.03.005
    1. Cowan FM, Johnson AM, Ashley R, Corey L, Mindel A. Antibody to herpes simplex virus type 2 as serological marker of sexual lifestyle in populations. BMJ. 1994;309(6965):1325–9. doi: 10.1136/bmj.309.6965.1325
    1. Bastien S, Mason-Jones A, De Koker P, Mmbaga E, Ross D, Mathews C. Herpes simplex virus type 2 infection as a biomarker for sexual debut among young people in sub-Saharan Africa: a literature review. Int J STD AIDS. 2012;23(11):761–6. doi: 10.1258/ijsa.2012.011433
    1. Beguy D, Kabiru CW, Nderu EN, Ngware MW. Inconsistencies in self-reporting of sexual activity among young people in Nairobi, Kenya. J Adolesc Health. 2009;45(6):595–601. Epub 2009/11/26. doi: 10.1016/j.jadohealth.2009.03.014 ; PubMed Central PMCID: PMC2784947.
    1. Cho H, Luseno W, Halpern C, Zhang L, Mbai I, Milimo B, et al.. Discordance of HIV and HSV-2 biomarkers and self-reported sexual behaviour among orphan adolescents in Western Kenya. Sex Transm Infect. 2015;91(4):260–5. doi: 10.1136/sextrans-2014-051720
    1. Baeten JM, Benki S, Chohan V, Lavreys L, McClelland RS, Mandaliya K, et al.. Hormonal contraceptive use, herpes simplex virus infection, and risk of HIV-1 acquisition among Kenyan women. AIDS. 2007;21(13):1771–7. doi: 10.1097/QAD.0b013e328270388a
    1. Corey L, Wald A, Celum CL, Quinn TC. The effects of herpes simplex virus-2 on HIV-1 acquisition and transmission: a review of two overlapping epidemics. J Acquir Immune Defic Syndr. 2004;35(5):435–45. doi: 10.1097/00126334-200404150-00001
    1. Kohler PK, Okanda J, Kinuthia J, Mills LA, Olilo G, Odhiambo F, et al.. Community-based evaluation of PMTCT uptake in Nyanza Province, Kenya. PLoS ONE. 2014;9(10):e110110. doi: 10.1371/journal.pone.0110110
    1. Cho H, Hallfors DD, Mbai II, Itindi J, Milimo BW, Halpern CT, et al.. Keeping adolescent orphans in school to prevent human immunodeficiency virus infection: evidence from a randomized controlled trial in Kenya. J Adolesc Health. 2011;48(5):523–6. doi: 10.1016/j.jadohealth.2010.08.007
    1. Harlow SD, Schuman P, Cohen M, Ohmit SE, Cu-Uvin S, Lin X, et al.. Effect of HIV infection on menstrual cycle length. J Acquir Immune Defic Syndr (1999). 2000;24(1):68–75. doi: 10.1097/00126334-200005010-00012
    1. Ezechi OC, Jogo A, Gab-Okafor C, Onwujekwe DI, Ezeobi PM, Gbajabiamila T, et al.. Effect of HIV-1 infection and increasing immunosuppression on menstrual function. J Obstet Gynaecol Res. 2010;36(5):1053–8. doi: 10.1111/j.1447-0756.2010.01253.x
    1. Chirgwin KD, Feldman J, Muneyyirci-Delale O, Landesman S, Minkoff H. Menstrual function in human immunodeficiency virus-infected women without acquired immunodeficiency syndrome. J Acquir Immune Defic Syndr. 1996;12(5):489–94. doi: 10.1097/00042560-199608150-00008
    1. Glynn JR, Kayuni N, Banda E, Parrott F, Floyd S, Francis-Chizororo M, et al.. Assessing the validity of sexual behaviour reports in a whole population survey in rural Malawi. PLoS ONE. 2011;6(7):e22840. doi: 10.1371/journal.pone.0022840

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