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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">100892005</journal-id><journal-id journal-id-type="pubmed-jr-id">21821</journal-id><journal-id journal-id-type="nlm-ta">J Acquir Immune Defic Syndr</journal-id><journal-id journal-id-type="iso-abbrev">J Acquir Immune Defic Syndr</journal-id><journal-title-group><journal-title>Journal of acquired immune deficiency syndromes (1999)</journal-title></journal-title-group><issn pub-type="ppub">1525-4135</issn><issn pub-type="epub">1944-7884</issn></journal-meta><article-meta><article-id pub-id-type="pmid">40748485</article-id><article-id pub-id-type="pmc">12755237</article-id><article-id pub-id-type="doi">10.1097/QAI.0000000000003740</article-id><article-id pub-id-type="manuscript">NIHMS2127166</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Sexual Partnership Heterogeneity and HIV Seropositivity Among Adolescent Girls and Young Women in Cameroon and C&#x000f4;te d&#x02019;Ivoire: A Partner-Level Latent Class Analysis</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Rosen</surname><given-names>Joseph G.</given-names></name><degrees>PhD, MSPH</degrees><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Esso</surname><given-names>Yedmel</given-names></name><degrees>PhD</degrees><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Keugoung</surname><given-names>Basile</given-names></name><degrees>PhD</degrees><xref rid="A6" ref-type="aff">f</xref></contrib><contrib contrib-type="author"><name><surname>Lwamba</surname><given-names>Chibwe</given-names></name><degrees>MA</degrees><xref rid="A7" ref-type="aff">g</xref></contrib><contrib contrib-type="author"><name><surname>Brar</surname><given-names>Savvy K.</given-names></name><degrees>MSc</degrees><xref rid="A7" ref-type="aff">g</xref></contrib><contrib contrib-type="author"><name><surname>Yeh</surname><given-names>Ping T.</given-names></name><degrees>MSPH</degrees><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Kennedy</surname><given-names>Caitlin E.</given-names></name><degrees>PhD, MPH</degrees><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Walker</surname><given-names>Damilola</given-names></name><degrees>MHSc</degrees><xref rid="A7" ref-type="aff">g</xref></contrib></contrib-group><aff id="A1"><label>a</label>Division of General Internal Medicine, Rhode Island Hospital, Providence, RI</aff><aff id="A2"><label>b</label>Department of Medicine, The Warren Alpert Medical School, Brown University, Providence, RI</aff><aff id="A3"><label>c</label>Department of Epidemiology, School of Public Health, Brown University, Providence, RI</aff><aff id="A4"><label>d</label>Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD</aff><aff id="A5"><label>e</label>United Nations Children&#x02019;s Fund, Abidjan, C&#x000f4;te d&#x02019;Ivoire</aff><aff id="A6"><label>f</label>United Nations Children&#x02019;s Fund, Yaound&#x000e9;, Cameroon</aff><aff id="A7"><label>g</label>United Nations Children&#x02019;s Fund, New York, NY.</aff><author-notes><corresp id="CR1">Correspondence to: Joseph G. Rosen, PhD, MSPH 593 Eddy Street, Providence, RI 02903 (<email>joseph_g_rosen@brown.edu</email>).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>20</day><month>12</month><year>2025</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>12</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>31</day><month>12</month><year>2025</year></pub-date><volume>100</volume><issue>4</issue><fpage>283</fpage><lpage>288</lpage><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Adolescent girls&#x02019; and young women&#x02019;s (AGYW) heightened HIV vulnerability has been understudied in West and Central Africa, where AGYW account for 1 in 5 new HIV diagnoses. Identifying contextually specific drivers of AGYW&#x02019;s HIV risk can help tailor HIV prevention programming to AGYW in the region.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">We pooled data from nationally representative HIV-seroprevalence surveys for sexually active AGYW in Cameroon and C&#x000f4;te d&#x02019;Ivoire. We used latent class analysis to partition past-year sexual partnerships into discrete typologies based on 6 relationship characteristics: cohabitation, known partner HIV status, condom use at last sex, age mixing (&#x02265;5-year age disparity), transactional sex, and likelihood of having sex again. Mixture modeling with cluster-robust standard errors then assessed differences in AGYW&#x02019;s HIV seropositivity by partnership type.</p></sec><sec id="S3"><title>Results:</title><p id="P3">Overall, 5482 AGYW reported 6389 past-year sexual partners. Four distinct partnership types emerged from LCA: Type 1 (Cohabiting, Age-Disparate Partners: ~46%); Type 2 (Non-Cohabiting, Similar-Aged Partners: ~15%); Type 3 (One-Off, Age-Disparate Partners: ~30%); and Type 4 (Non-Cohabiting, Permanent, Age-Disparate Partners: ~9%). AGYW reporting One-Off, Age-Disparate Partners and Non-Cohabiting, Permanent, Age-Disparate Partners exhibited significantly (<italic toggle="yes">P</italic> &#x0003c; 0.05) elevated adjusted odds of HIV seropositivity relative to AGYW reporting Cohabiting, Age-Disparate Partners and Non-Cohabiting, Similar-Aged Partners, respectively.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">AGYW reported heterogeneous partnerships that were differentially associated with HIV seropositivity, suggesting discrete relationship characteristics may confer differential HIV acquisition risks among AGYW. Delivery of HIV prevention (ie, long-acting injectable pre-exposure prophylaxis) and diagnostic (ie, HIV self-testing) technologies should be prioritized among AGYW with older, nonpermanent partners, where HIV burdens appear most pronounced.</p></sec></abstract><kwd-group><kwd>adolescents</kwd><kwd>youth</kwd><kwd>HIV prevention</kwd><kwd>population-based study</kwd><kwd>West and Central Africa</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>INTRODUCTION</title><p id="P5">Adolescent girls and young women [adolescent girls&#x02019; and young women&#x02019;s (AGYW)] aged 15&#x02013;24 years are disproportionately impacted by HIV, accounting for almost 60% of new cases in their age group worldwide and a staggering 90% of new HIV diagnoses among 15- to 19-year-olds in East and Southern Africa (ESA).<sup><xref rid="R1" ref-type="bibr">1</xref></sup> While the scale-up of combination HIV prevention has mitigated HIV transmission at the population level, HIV incidence declines have been geographically imbalanced; in countries with generalized HIV epidemics in ESA, new HIV diagnoses have declined by over 30% in the last decade, but in West and Central Africa (WCA), HIV incidence plateaued in 2010 and has since stagnated.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup> Compared with ESA, WCA&#x02019;s HIV epidemic is distinguished by lower (but moderate) HIV prevalence (1.3%); higher HIV-associated mortality (20 deaths per 100,000 population), attributed primarily to sub-optimal coverage of HIV care and treatment services&#x02014;with nearly a quarter of persons living with HIV not receiving antiretroviral therapy; and performance gaps in HIV epidemic control efforts, especially for girls and women.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R3" ref-type="bibr">3</xref></sup> Despite a more concentrated HIV epidemic in WCA, 1 in 5 new HIV diagnoses in the region are observed in AGYW (aged 15&#x02013;24 years)&#x02014;comparable with the incidence disparities documented in ESA.<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R2" ref-type="bibr">2</xref></sup></p><p id="P6">Numerous studies have identified sociostructural vulnerabilities (eg, gender-inequitable norms and relationships, food insecurity, school attrition) as factors associated with behaviors (eg, transactional sex, diminished capacity to safely negotiate condom use, coercive sex) that heighten AGYW&#x02019;s susceptibility to HIV acquisition.<sup><xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R8" ref-type="bibr">8</xref></sup> Most evidence related to heightened HIV vulnerability among AGYW has emanated from generalized HIV epidemic contexts in ESA, where HIV burdens among women are substantially larger than in WCA.<sup><xref rid="R2" ref-type="bibr">2</xref></sup> Moreover, existing scholarship has emphasized the contribution of AGYW&#x02019;s embodied vulnerability (ie, risk experienced at the individual level) to HIV acquisition but has been less attentive to partner-level (eg, male partner occupation and knowledge of HIV status, shared decision-making, and autonomy in sexual relationships) and sexual network (eg, number of extramarital sexual contacts among AGYW&#x02019;s male partners) characteristics that critically potentiate the HIV risk environment for AGYW.<sup><xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup> There is a critical dearth of this scholarship specifically in WCA, where&#x02014;despite unmet HIV prevention needs among AGYW&#x02014;virtually no studies have described relationship characteristics potentially contributing to HIV transmission dynamics among AGYW and their male partners, especially at the population level.</p><p id="P7">Given the distinct profile and trajectory of WCA&#x02019;s HIV epidemic, understanding contextually specific partner-level factors associated with HIV seropositivity among AGYW is vital to identifying prevention needs and informing tailored programming to AGYW and their male partners in the region. Accordingly, we pooled population-based HIV-seroprevalence surveys from Cameroon and C&#x000f4;te d&#x02019;Ivoire to identify sexual relationship typologies and quantify their disparate effects on HIV burdens among sexually active AGYW in WCA.</p></sec><sec id="S6"><title>METHODS</title><sec id="S7"><title>Design and Population</title><p id="P8">Data were derived from the Population-based HIV Impact Assessment (PHIA) surveys implemented in Cameroon and C&#x000f4;te d&#x02019;Ivoire in 2017 and 2018, respectively. Briefly, the PHIA surveys are nationally representative, cross-sectional, household-based studies of the HIV epidemic in high-burden settings.<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R12" ref-type="bibr">12</xref></sup> Through multistage cluster sampling, systematically selected households within randomly selected geographic enumeration areas were approached for participation, and household heads completed a census-like questionnaire characterizing the composition and material/financial assets within the home. After enumeration of survey-eligible individuals within the household, adults (Cameroon: aged 21&#x02013;64 years; C&#x000f4;te d&#x02019;Ivoire: aged 18&#x02013;64 years), minors (Cameroon: aged 10&#x02013;20 years; C&#x000f4;te d&#x02019;Ivoire: aged 10&#x02013;17 years), and children (aged younger than 10 years) were enrolled in the study following written informed consent/assent (and written parental consent where applicable). Individuals who did not sleep in the household the night prior to survey administration were ineligible to participate.</p></sec><sec id="S8"><title>Procedures</title><p id="P9">Selected individuals (aged 15&#x02013;64 years) completed a structured, interviewer-administered questionnaire eliciting demographics, sexual and health-seeking behaviors, and HIV-related outcomes. To assess HIV status, sequential rapid point-of-care tests were implemented using the Determine HIV-1/2 test (Abbott Molecular, Inc., Des Plaines, IL) for screening and the OraQuick test (OraSure Technologies, Inc., Bethlehem, PA) for confirmation. Venous or capillary blood was collected from individuals aged 15&#x02013;64 years for laboratory confirmation of HIV-positive or HIV-indeterminant results from in-home rapid testing protocols using the Geenius HIV-1/2 Supplemental Assay (Bio-Rad Laboratories, Inc., Philadelphia, PA). For the present study, only complete data from AGYW reporting any past-year sexual partnerships were retained.</p></sec><sec id="S9"><title>Measures</title><p id="P10">Sexual relationships were enumerated using repetitive question blocks eliciting attributes of up to 3 past-year partnerships. Measured partnership characteristics included cohabitation status (living with partner versus not); transactional sex (having sex with partner expecting money or gifts in exchange: yes versus no); likelihood of having sex with partner again (yes versus no/unsure); known partner HIV status (yes versus no/unsure); condom use at last sex (yes versus no/unsure); and age-disparate relationship (AGYW &#x02265;5 years younger than male partner versus &#x0003c;5 years younger or older than male partner).</p></sec><sec id="S10"><title>Analysis</title><p id="P11">After aggregating survey responses from Cameroon and C&#x000f4;te d&#x02019;Ivoire into a pooled multicountry sample, individual-level descriptive statistics were calculated and compared by country using design-based F-tests of association. Data were then reshaped at the partner level (with each observation corresponding to an elicited AGYW male partner), and sexual relationship types were taxonomized using latent class analysis (LCA)&#x02014;a Bayesian statistical approach for identifying hidden (&#x0201c;latent&#x0201d;) population subgroups, or classes, that are distinguished by specific combinations of features/characteristics.<sup><xref rid="R13" ref-type="bibr">13</xref></sup> LCA iterations specifying 2&#x02013;5 classes were estimated, and selection of an optimal LCA solution was guided by model fit indices [ie, smallest class size, Akaike Information Criterion, Bayesian Information Criterion, entropy, &#x003c7;<sup>2</sup> and Vuong-Lo-Mendell-Rubin (VLMR) likelihood ratio tests] and interpretability of the emergent solution.<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R14" ref-type="bibr">14</xref></sup> Next, a 3-step Bayesian mixture modeling approach<sup><xref rid="R15" ref-type="bibr">15</xref></sup> was implemented to quantify differences in HIV seropositivity by latent sexual partnership type&#x02014;adjusting a priori for age, household wealth (derived from an index of household possessions that was collapsed into socioeconomic quintiles using principal components analysis),<sup><xref rid="R16" ref-type="bibr">16</xref></sup> residence type (rural versus urban), and country.</p><p id="P12">Survey-weighted, jackknife variance-corrected descriptive sample characteristics and HIV prevalence estimates, respectively, were obtained to account for the probability of survey selection/nonresponse and the multistage cluster sampling design. Cluster-robust standard errors were implemented in LCA and mixture modeling as variance correction for non-independent observations (ie, past-year partnerships emanating from the same AGYW). Weighted descriptive statistics were computed using Stata/IC 15.1 (StataCorp LLC, College Station, TX). Unweighted LCA and mixture modeling were implemented using M<italic toggle="yes">plus</italic> version 8 (Muth&#x000e9;n &#x00026; Muth&#x000e9;n, Los Angeles, CA).</p></sec><sec id="S11"><title>Ethics</title><p id="P13">The PHIA protocols were reviewed and approved by the Columbia University Medical Center Institutional Review Board (IRB), the Westat IRB, the US Centers for Disease Control and Prevention IRB, the Cameroon National Ethics Committee for Research on Human Subjects, and the National Ethics Committee for Research in C&#x000f4;te d&#x02019;Ivoire. The Johns Hopkins University Bloomberg School of Public Health IRB reviewed the protocol for secondary data analyses and deemed the present study exempt from further human subjects research oversight.</p></sec></sec><sec id="S12"><title>RESULTS</title><p id="P14">Overall, 45,412 individuals across countries (Cameroon: N = 27,085; C&#x000f4;te d&#x02019;Ivoire: N = 18,327) completed a PHIA survey, of whom 12% were sexually active AGYW eligible for inclusion in the present analysis. The final analytic sample included 5523 AGYW (Cameroon: n = 3,200, 47.3%; C&#x000f4;te d&#x02019;Ivoire: n = 2,323, 52.7%) reporting 6839 unique past-year sexual partners (<xref rid="T1" ref-type="table">Table 1</xref>). Most AGYW were aged 20&#x02013;24 years (62%), were unmarried (53%), had secondary-level education or higher (52%), reported no past-year income-based employment (70%), and lived in urban areas (58%). More than half (52%) had had a live birth, and 14% reported being pregnant at the time of survey. Fewer AGYW reported first sex before age 15 (15%), having &#x02265;2 past-year sexual partners (15%), and condom use at last sex (28%). AGYW reported an average of 1.22 past-year sexual partners (95% CI: 1.19 to 1.24), which was significantly (<italic toggle="yes">P</italic> &#x0003c; 0.001) higher in C&#x000f4;te d&#x02019;Ivoire (mean: 1.30, 95% CI: 1.25 to 1.35) than in Cameroon (mean: 1.13, 95% CI: 1.11 to 1.15). Fewer than two-thirds of sexually active AGYW reported ever testing for HIV (60%). The pooled HIV prevalence was 1.9% (95% CI: 1.4% to 2.4%)&#x02014;significantly (<italic toggle="yes">P</italic> = 0.010) higher in Cameroon (2.7%, 95% CI: 1.9% to 3.4%) than in C&#x000f4;te d&#x02019;Ivoire (1.2%, 95% CI: 0.5% to 1.8%).</p><p id="P15">Four distinct sexual partnership types emerged from LCA (AIC: 39,868.558; BIC: 40,051.141; entropy: 0.612; &#x003c7;<sup>2</sup> LRT: 49.580, <italic toggle="yes">P</italic> = 0.0522; VLMR LRT: 52.116, <italic toggle="yes">P</italic> = 0.0745) and were characterized as follows (<xref rid="F1" ref-type="fig">Fig. 1</xref>): <italic toggle="yes">Type 1</italic> (~46% class prevalence), characterized by primarily cohabiting (~75%), age-disparate (~80%) partnerships; <italic toggle="yes">Type 2</italic> (~15% class prevalence), distinguished by relationships that were non-cohabiting (~96%) with similarly aged (~95%) male partners; <italic toggle="yes">Type 3</italic> (~30% class prevalence), characterized by primarily one-off (~52%), age-disparate (~74%) partner-ships; and <italic toggle="yes">Type 4</italic> (~9% class prevalence), distinguished by partnerships that were non-cohabiting (~77%), steady/permanent (~98%), age-disparate (~71%), and unknown HIV serostatus of partners (~0%).</p><p id="P16">In multivariable mixture modeling, AGYW reporting one-off, age-disparate partners [<italic toggle="yes">Type 3</italic>] exhibited significantly elevated odds of HIV seropositivity related to AGYW reporting cohabiting, age-disparate partners [<italic toggle="yes">Type 1</italic>] [adjusted odds ratio (adjOR) = 2.28, 95% CI: 1.96 to 2.61, <italic toggle="yes">P</italic> = 0.001] and non-cohabiting, similar-aged partners [<italic toggle="yes">Type 2</italic>] (adjOR = 7.46, 95% CI: 6.86 to 8.06, <italic toggle="yes">P</italic> = 0.005), respectively. Similarly, AGYW with non-cohabiting, permanent, age-disparate partners [<italic toggle="yes">Type 4</italic>] exhibited significantly higher elevated odds of HIV seropositivity relative to AGYW with cohabiting, age-disparate partners [<italic toggle="yes">Type 1</italic>] (adjOR = 2.05, 95% CI: 1.64 to 2.46, <italic toggle="yes">P</italic> = 0.014) and non-cohabiting, similar-aged partners [<italic toggle="yes">Type 2</italic>] (adjOR = 6.71, 95% CI: 6.09 to 7.33, <italic toggle="yes">P</italic> = 0.007), respectively.</p></sec><sec id="S13"><title>DISCUSSION</title><p id="P17">LCA uncovered 4 sexual relationship types among AGYW in Cameroon and C&#x000f4;te d&#x02019;Ivoire, revealing heterogeneities in partnership characteristics that may confer differential HIV acquisition risks, with implications for programming. AGYW with one-off, age-disparate [<italic toggle="yes">Type 3</italic>] and non-cohabiting, permanent, age-disparate [<italic toggle="yes">Type 4</italic>] partnerships were more likely to be living with HIV. We found that relationship permanence or fluidity, partner residence (cohabiting or non-cohabiting), and male partner age were associated with AGYW&#x02019;s HIV status synergistically, rather than independently, as emphasized in the extant scholarship from ESA.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup> Upstream socio-structural (eg, economically motivated sexual activity, condom use coercion, non-disclosure of HIV status between partners) and epidemiologic forces (eg, high-density sexual networks among male partners) likely contribute to disparities in HIV burdens among latent partnership profiles emerging from LCA.<sup><xref rid="R2" ref-type="bibr">2</xref>,<xref rid="R7" ref-type="bibr">7</xref>,<xref rid="R10" ref-type="bibr">10</xref></sup> Moreover, unlike prior studies from ESA,<sup><xref rid="R17" ref-type="bibr">17</xref>&#x02013;<xref rid="R19" ref-type="bibr">19</xref></sup> AGYW in Cameroon and C&#x000f4;te d&#x02019;Ivoire reported age-disparate, cohabiting partners with greater frequency&#x02014;likely a reflection of marriage or cohabiting-union formation at younger ages among AGYW in WCA.<sup><xref rid="R20" ref-type="bibr">20</xref></sup> Consistent with extant scholarship,<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R19" ref-type="bibr">19</xref></sup> transactional sex also appeared to cluster in latent partnership profiles exhibiting the highest HIV burdens&#x02014;reaffirming the potential contribution of exchange sex to elevated HIV acquisition risks in AGYW. HIV risk assessments and risk counseling should, therefore, consider the contributions of non-cohabiting, older male partners (both permanent and non-permanent), as well as transactional sex relationships, to AGYW&#x02019;s HIV acquisition risks in Cameroon and C&#x000f4;te d&#x02019;Ivoire.</p><sec id="S14"><title>Limitations</title><p id="P18">Our findings are subject to several limitations. First, apart from HIV seropositivity, all survey measures were assessed via self-report and are limited by recall and response inaccuracies. Second, while standard errors were appropriately corrected in LCA and mixture modeling to account for nonindependent observations, analyses at the partnership level inhibited capacity to assess how different combinations of sexual relationship types (eg, AGYW reporting both Type 1 and Type 3 relationships) were associated with HIV seropositivity. Third, PHIA&#x02019;s repetitive sexual partner modules did not include an exhaustive list of partner-level covariates (eg, number of sexual partners, viral load, circumcision status) associated with HIV acquisition among AGYW; the addition of these covariates to LCA and mixture modeling could yield alternative latent partnership compositions and associations with HIV seropositivity, respectively. Fourth, only 7 AGYW in the present study exhibited evidence of recent HIV acquisition (per quantitative limiting antigen avidity enzyme immunoassay results), which inhibited model convergence in mixture modeling. The pooling of recent and longer-term HIV infections for the primary outcome measure, thus, obfuscates the effect of partnership types on AGYW&#x02019;s HIV acquisition risks. Fifth, given the study&#x02019;s cross-sectional design, temporality cannot be inferred from the observed relationships between HIV seropositivity and sexual partnership types; while sexual partner characteristics are plausible antecedents of HIV seropositivity, HIV stigma, and discrimination may constrain partner availability/selection for AGYW living with HIV. Finally, since data were derived from nationally representative surveys that did not explicitly privilege participation of sexually active AGYW, study findings are likely to mask heterogeneities within AGYW&#x02019;s male partners due to undersampling of AGYW with potentially elevated HIV acquisition risks (eg, sex workers), whose partnerships will likely vary from those of AGYW identified through random household-based sampling.</p></sec></sec><sec id="S15"><title>CONCLUSION</title><p id="P19">This is among the first population-based studies to characterize sexual relationship typologies among AGYW in WCA and quantify their discrete associations with HIV seropositivity. LCA uncovered heterogeneous sexual partner-ship types&#x02014;and the clustering of HIV seropositivity among them&#x02014;reported by AGYW in Cameroon and C&#x000f4;te d&#x02019;Ivoire. An expanding menu of HIV prevention tools, namely long-acting injectable pre-exposure prophylaxis, and diagnostic technologies like HIV self-testing should be availed to AGYW in transactional sex relationships with older, nonpermanent partners in high-transmission localities across WCA.</p></sec></body><back><ack id="S16"><title>ACKNOWLEDGMENTS</title><p id="P20">The authors thank all study participants and survey interviewers in Cameroon and C&#x000f4;te d&#x02019;Ivoire, without whom this work would not be possible.</p><p id="P21">The PHIA surveys are funded by a cooperative agreement (U2GGH001226) from the US President&#x02019;s Emergency Plan for AIDS Relief via the US Centers for Disease Control and Prevention to ICAP at Columbia University. This study was supported in part by the Johns Hopkins University Center for AIDS Research, a program of the National Institute of Allergy and Infectious Diseases (P30AI094189). J.G.R. acknowledges additional funding from the National Institute of Mental Health (R25MH083620). The contents of this manuscript are the responsibility of the authors and do not necessarily reflect the official positions of the funders.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P22">J.G.R. is a paid consultant to the Elizabeth Glaser Pediatric AIDS Foundation on an evaluation of efforts to integrate HPV vaccination into adolescent HIV services, funded by Gavi, the Vaccine Alliance. 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</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>FIGURE 1.</label><caption><p id="P23">Sexual partnership types identified from latent class analysis among adolescent girls and young women in Cameroon and C&#x000f4;te d&#x02019;Ivoire (<italic toggle="yes">N</italic> = 6,839).</p></caption><graphic xlink:href="nihms-2127166-f0001" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>TABLE 1.</label><caption><p id="P24">Weighted Descriptive Characteristics Among Sexually Active Adolescent Girls and Young Women Participating in the Cameroon and C&#x000f4;te d&#x02019;Ivoire Population-Based HIV Impact Assessments (PHIA)</p></caption><table frame="hsides" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Characteristics (number, weighted %)</th><th align="center" valign="bottom" rowspan="1" colspan="1">Total N = 5523</th><th align="center" valign="bottom" rowspan="1" colspan="1">Cameroon n = 3200</th><th align="center" valign="bottom" rowspan="1" colspan="1">C&#x000f4;te d&#x02019;Ivoire n = 2323</th><th align="center" valign="bottom" rowspan="1" colspan="1">
<italic toggle="yes">P</italic>
</th></tr><tr><th colspan="5" align="center" valign="middle" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Sociodemographics</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Age group</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.206</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;15&#x02013;19 yrs</td><td align="center" valign="top" rowspan="1" colspan="1">2143 (37.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1152 (36.7)</td><td align="center" valign="top" rowspan="1" colspan="1">971 (38.3)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;20&#x02013;24 yrs</td><td align="center" valign="top" rowspan="1" colspan="1">3400 (62.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2048 (63.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1352 (61.7)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Marital status</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Never married</td><td align="center" valign="top" rowspan="1" colspan="1">2380 (49.1)</td><td align="center" valign="top" rowspan="1" colspan="1">1205 (44.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1175 (53.0)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Married or in union</td><td align="center" valign="top" rowspan="1" colspan="1">2838 (46.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1763 (48.8)</td><td align="center" valign="top" rowspan="1" colspan="1">1075 (44.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Separated, widowed, or divorced</td><td align="center" valign="top" rowspan="1" colspan="1">283 (4.4)</td><td align="center" valign="top" rowspan="1" colspan="1">223 (6.4)</td><td align="center" valign="top" rowspan="1" colspan="1">60 (2.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Union type</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.133</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;In a polygynous union</td><td align="center" valign="top" rowspan="1" colspan="1">517 (7.6)</td><td align="center" valign="top" rowspan="1" colspan="1">354 (9.0)</td><td align="center" valign="top" rowspan="1" colspan="1">163 (6.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;In a monogamous union</td><td align="center" valign="top" rowspan="1" colspan="1">2120 (37.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1242 (37.0)</td><td align="center" valign="top" rowspan="1" colspan="1">878 (36.9)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not currently in union</td><td align="center" valign="top" rowspan="1" colspan="1">2663 (55.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1428 (54.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1235 (56.7)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Educational attainment</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No formal education</td><td align="center" valign="top" rowspan="1" colspan="1">1452 (26.1)</td><td align="center" valign="top" rowspan="1" colspan="1">540 (12.2)</td><td align="center" valign="top" rowspan="1" colspan="1">912 (38.5)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Primary</td><td align="center" valign="top" rowspan="1" colspan="1">1374 (22.3)</td><td align="center" valign="top" rowspan="1" colspan="1">762 (20.1)</td><td align="center" valign="top" rowspan="1" colspan="1">612 (24.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Secondary</td><td align="center" valign="top" rowspan="1" colspan="1">1826 (34.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1118 (37.4)</td><td align="center" valign="top" rowspan="1" colspan="1">708 (31.5)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Tertiary or higher</td><td align="center" valign="top" rowspan="1" colspan="1">863 (17.3)</td><td align="center" valign="top" rowspan="1" colspan="1">775 (30.3)</td><td align="center" valign="top" rowspan="1" colspan="1">88 (5.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Relation to household head</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Wife or cohabiting partner</td><td align="center" valign="top" rowspan="1" colspan="1">1881 (31.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1110 (30.3)</td><td align="center" valign="top" rowspan="1" colspan="1">771 (32.9)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Daughter</td><td align="center" valign="top" rowspan="1" colspan="1">1385 (25.2)</td><td align="center" valign="top" rowspan="1" colspan="1">843 (28.2)</td><td align="center" valign="top" rowspan="1" colspan="1">542 (22.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Daughter-in-law</td><td align="center" valign="top" rowspan="1" colspan="1">342 (5.7)</td><td align="center" valign="top" rowspan="1" colspan="1">206 (6.4)</td><td align="center" valign="top" rowspan="1" colspan="1">136 (5.1)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Granddaughter</td><td align="center" valign="top" rowspan="1" colspan="1">229 (4.0)</td><td align="center" valign="top" rowspan="1" colspan="1">126 (3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">103 (4.1)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Head of household</td><td align="center" valign="top" rowspan="1" colspan="1">422 (7.9)</td><td align="center" valign="top" rowspan="1" colspan="1">254 (8.7)</td><td align="center" valign="top" rowspan="1" colspan="1">168 (7.2)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Sibling</td><td align="center" valign="top" rowspan="1" colspan="1">344 (7.3)</td><td align="center" valign="top" rowspan="1" colspan="1">198 (7.5)</td><td align="center" valign="top" rowspan="1" colspan="1">146 (7.1)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Other relative</td><td align="center" valign="top" rowspan="1" colspan="1">749 (14.3)</td><td align="center" valign="top" rowspan="1" colspan="1">404 (12.8)</td><td align="center" valign="top" rowspan="1" colspan="1">345 (15.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not related</td><td align="center" valign="top" rowspan="1" colspan="1">168 (3.9)</td><td align="center" valign="top" rowspan="1" colspan="1">49 (2.2)</td><td align="center" valign="top" rowspan="1" colspan="1">109 (5.4)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Income-based employment, past 12 mo</td><td align="center" valign="top" rowspan="1" colspan="1">1691 (30.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1024 (32.5)</td><td align="center" valign="top" rowspan="1" colspan="1">667 (28.5)</td><td align="center" valign="top" rowspan="1" colspan="1">0.055</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Household wealth</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.104</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Poorest</td><td align="center" valign="top" rowspan="1" colspan="1">1255 (22.5)</td><td align="center" valign="top" rowspan="1" colspan="1">886 (19.4)</td><td align="center" valign="top" rowspan="1" colspan="1">389 (25.2)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Poorer</td><td align="center" valign="top" rowspan="1" colspan="1">1238 (20.1)</td><td align="center" valign="top" rowspan="1" colspan="1">766 (20.6)</td><td align="center" valign="top" rowspan="1" colspan="1">472 (19.7)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Average</td><td align="center" valign="top" rowspan="1" colspan="1">1136 (20.4)</td><td align="center" valign="top" rowspan="1" colspan="1">607 (21.3)</td><td align="center" valign="top" rowspan="1" colspan="1">529 (19.6)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Wealthier</td><td align="center" valign="top" rowspan="1" colspan="1">1038 (19.6)</td><td align="center" valign="top" rowspan="1" colspan="1">512 (19.5)</td><td align="center" valign="top" rowspan="1" colspan="1">526 (19.7)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Wealthiest</td><td align="center" valign="top" rowspan="1" colspan="1">852 (17.4)</td><td align="center" valign="top" rowspan="1" colspan="1">445 (19.2)</td><td align="center" valign="top" rowspan="1" colspan="1">407 (15.8)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Residence type</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Urban</td><td align="center" valign="top" rowspan="1" colspan="1">2632 (57.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1313 (49.4)</td><td align="center" valign="top" rowspan="1" colspan="1">1319 (64.7)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Rural</td><td align="center" valign="top" rowspan="1" colspan="1">2819 (42.5)</td><td align="center" valign="top" rowspan="1" colspan="1">1887 (50.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1004 (35.3)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sexual and reproductive health</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever had a live birth</td><td align="center" valign="top" rowspan="1" colspan="1">3132 (52.3)</td><td align="center" valign="top" rowspan="1" colspan="1">1951 (55.6)</td><td align="center" valign="top" rowspan="1" colspan="1">1181 (49.4)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.010</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Currently pregnant</td><td align="center" valign="top" rowspan="1" colspan="1">813 (13.8)</td><td align="center" valign="top" rowspan="1" colspan="1">499 (14.7)</td><td align="center" valign="top" rowspan="1" colspan="1">314 (12.9)</td><td align="center" valign="top" rowspan="1" colspan="1">0.181</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">First sex before age 15</td><td align="center" valign="top" rowspan="1" colspan="1">938 (14.6)</td><td align="center" valign="top" rowspan="1" colspan="1">577 (15.4)</td><td align="center" valign="top" rowspan="1" colspan="1">361 (13.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.184</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Number of past-year sexual partners</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;One</td><td align="center" valign="top" rowspan="1" colspan="1">4804 (85.4)</td><td align="center" valign="top" rowspan="1" colspan="1">2901 (90.0)</td><td align="center" valign="top" rowspan="1" colspan="1">1903 (81.3)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Two or 3</td><td align="center" valign="top" rowspan="1" colspan="1">615 (13.2)</td><td align="center" valign="top" rowspan="1" colspan="1">264 (9.5)</td><td align="center" valign="top" rowspan="1" colspan="1">351 (16.5)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Four or more</td><td align="center" valign="top" rowspan="1" colspan="1">63 (1.4)</td><td align="center" valign="top" rowspan="1" colspan="1">15 (0.5)</td><td align="center" valign="top" rowspan="1" colspan="1">48 (2.2)</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Condom use at last sex, past 12 mo</td><td align="center" valign="top" rowspan="1" colspan="1">1256 (28.1)</td><td align="center" valign="top" rowspan="1" colspan="1">715 (28.3)</td><td align="center" valign="top" rowspan="1" colspan="1">541 (27.8)</td><td align="center" valign="top" rowspan="1" colspan="1">0.778</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Ever tested for HIV</td><td align="center" valign="top" rowspan="1" colspan="1">2164 (59.9)</td><td align="center" valign="top" rowspan="1" colspan="1">1056 (68.7)</td><td align="center" valign="top" rowspan="1" colspan="1">1108 (52.1)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>&#x0003c;0.001</bold>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">HIV prevalence (95% CI)</td><td align="center" valign="top" rowspan="1" colspan="1">1.9% (1.4% to 2.4%)</td><td align="center" valign="top" rowspan="1" colspan="1">2.7% (1.9% to 3.4%)</td><td align="center" valign="top" rowspan="1" colspan="1">1.2% (0.5% to 1.8%)</td><td align="center" valign="top" rowspan="1" colspan="1">
<bold>0.010</bold>
</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P25">Notes: Bolded values represent statistically significant (&#x0003c;0.05) <italic toggle="yes">P</italic>-values, estimated from design-based F tests of association. Percentages and HIV prevalence estimates were obtained using selection weights with jackknife standard errors, accounting for the surveys&#x02019; multistage cluster sampling design.</p></fn></table-wrap-foot></table-wrap></floats-group></article>