Male partner age, viral load, and HIV infection in adolescent girls and young women: evidence from eight sub-Saharan African countries.


Journal

AIDS (London, England)
ISSN: 1473-5571
Titre abrégé: AIDS
Pays: England
ID NLM: 8710219

Informations de publication

Date de publication:
01 01 2023
Historique:
pubmed: 22 9 2022
medline: 15 12 2022
entrez: 21 9 2022
Statut: ppublish

Résumé

We aimed to elucidate the role of partnerships with older men in the HIV epidemic among adolescent girls and young women (AGYW) aged 15-24 years in sub-Saharan Africa. Analysis of Population-based HIV Impact Assessments in Eswatini, Lesotho, Malawi, Namibia, Tanzania, Uganda, Zambia, and Zimbabwe. We examined associations between reported partner age and recent HIV infection among AGYW, incorporating male population-level HIV characteristics by age-band. Recent HIV infection was defined using the LAg avidity assay algorithm. Viremia was defined as a viral load of more than 1000 copies/ml, regardless of serostatus. Logistic regression compared recent infection in AGYW with older male partners to those reporting younger partners. Dyadic analysis examined cohabitating male partner age, HIV status, and viremia to assess associations with AGYW infection. Among 17 813 AGYW, increasing partner age was associated with higher odds of recent infection, peaking for partners aged 35-44 (adjusted odds ratio = 8.94, 95% confidence interval: 2.63-30.37) compared with partners aged 15-24. Population-level viremia was highest in this male age-band. Dyadic analyses of 5432 partnerships confirmed the association between partner age-band and prevalent HIV infection (male spousal age 35-44-adjusted odds ratio = 3.82, 95% confidence interval: 2.17-6.75). Most new infections were in AGYW with partners aged 25-34, as most AGYW had partners in this age-band. These results provide evidence that men aged 25-34 drive most AGYW infections, but partners over 9 years older than AGYW in the 35-44 age-band confer greater risk. Population-level infectiousness and male age group should be incorporated into identifying high-risk typologies in AGYW.

Identifiants

pubmed: 36129107
doi: 10.1097/QAD.0000000000003388
pii: 00002030-202301010-00012
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

113-123

Subventions

Organisme : CGH CDC HHS
ID : U2G GH001271
Pays : United States
Organisme : CGH CDC HHS
ID : U2G GH001226
Pays : United States
Organisme : NIMH NIH HHS
ID : P30 MH043520
Pays : United States

Informations de copyright

Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.

Références

UNAIDS. Global AIDS update 2020: seizing the moment. Tackling entrenched inequalities to end epidemics . Geneva, Switzerland: UNAIDS; 2019.
Dellar RC, Dlamini S, Karim QA. Adolescent girls and young women: key populations for HIV epidemic control . J Int AIDS Soc 2015; 18: (2 Suppl 1): 19408.
Pettifor A, Macphail C, Rees H, Cohen M. HIV and sexual behavior among young people: the South African paradox . Sex Transm Dis 2008; 35:843–844.
Ayton SG, Pavlicova M, Tamir H, Abdool Karim Q. Development of a prognostic tool exploring female adolescent risk for HIV prevention and PrEP in rural South Africa, a generalised epidemic setting . Sex Transm Infect 2020; 96:47–54.
Yi TJ, Shannon B, Prodger J, McKinnon L, Kaul R. Genital immunology and HIV susceptibility in young women . Am J Reprod Immunol 2013; 69: (Suppl 1): 74–79.
McClelland RS, Lingappa JR, Srinivasan S, Kinuthia J, John-Stewart GC, Jaoko W, et al. Evaluation of the association between the concentrations of key vaginal bacteria and the increased risk of HIV acquisition in African women from five cohorts: a nested case-control study . Lancet Infect Dis 2018; 18:554–564.
Sia D, Onadja Y, Hajizadeh M, Heymann SJ, Brewer TF, Nandi A. What explains gender inequalities in HIV/AIDS prevalence in sub-Saharan Africa? Evidence from the demographic and health surveys . BMC Public Health 2016; 16:1136.
Akullian A, Bershteyn A, Klein D, Vandormael A, Barnighausen T, Tanser F. Sexual partnership age pairings and risk of HIV acquisition in rural South Africa . AIDS 2017; 31:1755–1764.
Schaefer R, Gregson S, Eaton JW, Mugurungi O, Rhead R, Takaruza A, et al. Age-disparate relationships and HIV incidence in adolescent girls and young women: evidence from Zimbabwe . AIDS 2017; 31:1461–1470.
Gregson S, Nyamukapa CA, Garnett GP, Mason PR, Zhuwau T, Carael M, et al. Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe . Lancet 2002; 359:1896–1903.
Topazian HM, Stoner MCD, Edwards JK, Kahn K, Gómez-Olivé FX, Twine R, et al. Variations in HIV risk by young women's age and partner age disparity in rural South Africa (HPTN 068) . J Acquir Immune Defic Syndr 2020; 83:350–356.
Bajunirwe F, Semakula D, Izudi J. Risk of HIV infection among adolescent girls and young women in age-disparate relationships in sub-Saharan Africa . AIDS 2020; 34:1539–1548.
Harling G, Newell ML, Tanser F, Kawachi I, Subramanian SV, Barnighausen T. Do age-disparate relationships drive HIV incidence in young women? Evidence from a population cohort in rural KwaZulu-Natal, South Africa . J Acquir Immune Defic Syndr 2014; 66:443–451.
Balkus JE, Nair G, Montgomery ET, Mishra A, Palanee-Phillips T, Ramjee G, et al. Age-disparate partnerships and risk of HIV-1 acquisition among South African women participating in the VOICE trial . J Acquir Immune Defic Syndr 2015; 70:212–217.
de Oliveira T, Kharsany AB, Graf T, Cawood C, Khanyile D, Grobler A, et al. Transmission networks and risk of HIV infection in KwaZulu-Natal, South Africa: a community-wide phylogenetic study . Lancet HIV 2017; 4:e41–e50.
Maughan-Brown B, Venkataramani A, Kharsany ABM, Beckett S, Govender K, Lewis L, et al. Recently formed age-disparate partnerships are associated with elevated HIV-incidence among young women in South Africa . AIDS 2020; 34:149–154.
Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Antiretroviral therapy for the prevention of HIV-1 transmission . N Engl J Med 2016; 375:830–839.
Baral S, Rao A, Sullivan P, Phaswana-Mafuya N, Diouf D, Millett G, et al. The disconnect between individual-level and population-level HIV prevention benefits of antiretroviral treatment . Lancet HIV 2019; 6:e632–e638.
Sachathep K, Radin E, Hladik W, Hakim A, Saito S, Burnett J, et al. Population-based HIV impact assessments survey methods, response, and quality in Zimbabwe, Malawi, and Zambia . J Acquir Immune Defic Syndr 2021; 87:S6–S16.
Sachathep K, Radin E, Hladik W, Hakim A, Saito S, Burnett J, et al. Population-based HIV impact assessments survey methods, response, and quality in Zimbabwe, Malawi, and Zambia . J Acquir Immune Defic Syndr 2021; 87: (Suppl 1): S6–S16.
Kim AA, Rehle T. Short Communication: Assessing estimates of HIV incidence with a recent infection testing algorithm that includes viral load testing and exposure to antiretroviral therapy . AIDS Res Hum Retroviruses 2018; 34:863–866.
Foundation for Innovative New Diagnostics. WHO Working Group on HIV Incidence Assays. Meeting report, Boston, MA, USA, 20–26 February 2016. Geneva: World Health Organization; 2017 (WHO/HIV/2017.04)
Tanser F, Vandormael A, Cuadros D, Phillips AN, de Oliveira T, Tomita A, et al. Effect of population viral load on prospective HIV incidence in a hyperendemic rural African community . Sci Transl Med 2017; 9:eaam8012.
Solomon SS, Mehta SH, McFall AM, Srikrishnan AK, Saravanan S, Laeyendecker O, et al. Community viral load, antiretroviral therapy coverage, and HIV incidence in India: a cross-sectional, comparative study . Lancet HIV 2016; 3:e183–190.
StataCorp. Stata statistical software: release 15 . College Station, TX: StataCorp LLC; 2017.
Dunkle KL, Stephenson R, Karita E, Chomba E, Kayitenkore K, Vwalika C, et al. New heterosexually transmitted HIV infections in married or cohabiting couples in urban Zambia and Rwanda: an analysis of survey and clinical data . Lancet 2008; 371:2183–2191.
Song R, Hall HI, Green TA, Szwarcwald CL, Pantazis N. Using CD4 data to estimate HIV incidence, prevalence, and percentage of undiagnosed infections in the United States . J Acquir Immune Defic Syndr 2017; 74:3–9.
Choko AT, Kumwenda MK, Johnson CC, Sakala DW, Chikalipo MC, Fielding K, et al. Acceptability of woman-delivered HIV self-testing to the male partner, and additional interventions: a qualitative study of antenatal care participants in Malawi . J Int AIDS Soc 2017; 20:21610.
Hoffman S, Mantell J, Wang C, Mushamiri I, Low A. Characteristics of older male partners of adolescent girls and young women (AGYW) in four Eastern and Southern African countries, PHIA 2015–2017.AIDS 2020-23rd International AIDS Conference . Virtual; 2020.
Mushamiri I, Maile L, Ntene-Sealiete K, Ndagije F, Koto M, Maraisane R, et al.HIV risk profile of male partners of adolescent girls and young women in Lesotho: an analysis using a nationally representative sample.Society for Epidemiologic Research (SER) 52nd Annual Meeting . Minneapolis, Minnesota; 2019.
Chapman J, do Nascimento N, Mandal M. Role of male sex partners in HIV risk of adolescent girls and young women in Mozambique . Glob Health Sci Pract 2019; 7:435–446.
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; 379:1320–1329.
Stoner MCD, Edwards JK, Miller WC, Aiello AE, Halpern CT, Julien A, et al. Does partner selection mediate the relationship between school attendance and HIV/Herpes simplex virus-2 among adolescent girls and young women in South Africa: an analysis of HIV prevention trials network 068 data . J Acquir Immune Defic Syndr 2018; 79:20–27.
ICAP at Columbia University. PHIA Project. Key data to guide the global response to the HIV epidemic. Columbia University, New York: ICAP; 2022. Available at https://phia-data.icap.columbia.edu/ .
Balkus JE, Brown E, Palanee T, Nair G, Gafoor Z, Zhang J, et al. An empiric HIV risk scoring tool to predict HIV-1 acquisition in African women . J Acquir Immune Defic Syndr 2016; 72:333–343.
PEPFAR. PEPFAR 2020 country operational plan guidance for all PEPFAR countries . Washington, DC: PEPFAR; 2020.

Auteurs

Sarah Ayton (S)

ICAP at Columbia University, New York.
Department of Epidemiology, Mailman School of Public Health, New York, New York, USA.
Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.

Amee Schwitters (A)

US Centers for Disease Control and Prevention, Nairobi, Kenya.

Joanne E Mantell (JE)

Department of Psychiatry, HIV Center for Clinical and Behavioral, Studies, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, New York.

Harriet Nuwagaba-Biribonwoha (H)

ICAP at Columbia University, New York.

Avi Hakim (A)

US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Susie Hoffman (S)

Department of Epidemiology, Mailman School of Public Health, New York, New York, USA.
Department of Psychiatry, HIV Center for Clinical and Behavioral, Studies, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, New York.

Sam Biraro (S)

ICAP at Columbia University, New York.

Neena Philip (N)

ICAP at Columbia University, New York.

Lubbe Wiesner (L)

Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.

Elizabeth Gummerson (E)

ICAP at Columbia University, New York.

Kristin Brown (K)

US Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Daniel Nyogea (D)

ICAP at Columbia University, New York.

Danielle Barradas (D)

US Centers for Disease Control and Prevention, Lusaka, Zambia.

Masauso Nzima (M)

UNAIDS, Kathmandu, Nepal.

Christa Fischer-Walker (C)

US Centers for Disease Control and Prevention, Windhoek, Namibia.

Danielle Payne (D)

US Centers for Disease Control and Prevention, Lilongwe, Malawi.

Lloyd Mulenga (L)

Department of Infectious Diseases, Zambia Ministry of Health and University Teaching Hospital, Lusaka, Zambia.

George Mgomella (G)

US Centers for Disease Control and Prevention, Dar es Salaam, Tanzania.

Wilford L Kirungi (WL)

AIDS Control Programme, Ministry of Health, Kampala, Uganda.

Limpho Maile (L)

Family Health Division, Ministry of Health, Maseru, Lesotho.

Dorothy Aibo (D)

ICAP at Columbia University, New York.

Godfrey Musuka (G)

ICAP at Columbia University, New York.

Owen Mugurungi (O)

AIDS and TB Programme, Ministry of Health and Child Care, Harare, Zimbabwe.

Andrea Low (A)

ICAP at Columbia University, New York.
Department of Epidemiology, Mailman School of Public Health, New York, New York, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH