International Journal of Women’s Health Care Egocentric Networks and HIV in Pregnant and Breastfeeding Women Attending Antenatal Care in Lusaka, Zambia

Human immunodeficiency virus (HIV) has a disproportionate effect on pregnant and breastfeeding women in sub-Saharan Africa. This study used egocentric social network analysis (SNA) to compare the social and sexual networks of HIV-negative and HIV-positive women attending an antenatal care (ANC) clinic in Lusaka, Zam -bia. In order to assess risk and protective factors for HIV acquisition and transmission, variables included self (ego) sociodemographic characteristics, main partner characteristics, features of the relationship between ego and her main partner, alter attributes, alter-ego ties, and alter-alter ties. Associations between the independent variables and ego HIV status were identified using bivariate tests. Logistic regression analyses were performed to assess the relationship between predictors and ego HIV status when multiple variables were included in the same model. Overall, 219 participating women (69 HIV-positive, 150 HIV-negative) nominated 1095 alters. Compared to HIV-negative egos, HIV-positive egos were older, had main partners who were more likely to con sume alcohol before sex, disclosed their HIV status to fewer alters, had fewer alters with whom they had daily interactions, and had more alters who were HIV-positive or HIV-unknown. Number of alters who were HIV-pos itive or HIV-unknown and non-disclosure of HIV status were the greatest risks (with the effect of HIV-positive or HIV-unknown being of a slightly greater magnitude than non-disclosure of HIV status), which places breast feeding women, their partners and their infants at risk of preventable HIV infection.

[1]  C. Mercer,et al.  Navigating new sexual partnerships in midlife: a socioecological perspective on factors shaping STI risk perceptions and practices , 2020, Sexually Transmitted Infections.

[2]  E. Corbett,et al.  HIV self‐testing: breaking the barriers to uptake of testing among men and adolescents in sub‐Saharan Africa, experiences from STAR demonstration projects in Malawi, Zambia and Zimbabwe , 2019, Journal of the International AIDS Society.

[3]  M. Alcaide,et al.  HIV Prevention among Zambian Itinerant Workers: Challenges and Solutions , 2019, Journal of health care for the poor and underserved.

[4]  C. Colvin Strategies for engaging men in HIV services. , 2019, The lancet. HIV.

[5]  Kerebih Asrese,et al.  Social network correlates of risky sexual behavior among adolescents in Bahir Dar and Mecha Districts, North West Ethiopia: an institution-based study , 2018, Reproductive Health.

[6]  S. Borgatti,et al.  Egocentric Network Analysis: Foundations, Methods, and Models , 2018 .

[7]  L. Myer,et al.  Sexual risk during pregnancy and postpartum periods among HIV-infected and –uninfected South African women: Implications for primary and secondary HIV prevention interventions , 2018, PloS one.

[8]  S. Charalambous,et al.  The association between social capital and HIV treatment outcomes in South Africa , 2017, PloS one.

[9]  C. Parry,et al.  Harmful Use of Alcohol: A Shadow over Sub-Saharan Africa in Need of Workable Solutions , 2017, International journal of environmental research and public health.

[10]  S. Popova,et al.  Estimation of national, regional, and global prevalence of alcohol use during pregnancy and fetal alcohol syndrome: a systematic review and meta-analysis. , 2017, The Lancet. Global health.

[11]  M. Chiasson,et al.  Sexual Risk and Intravaginal Practice Behavior Changes During Pregnancy , 2017, Archives of sexual behavior.

[12]  A. van der Straten,et al.  How common and frequent is heterosexual anal intercourse among South Africans? A systematic review and meta-analysis , 2017, Journal of the International AIDS Society.

[13]  A. Dobra,et al.  Space-time migration patterns and risk of HIV acquisition in rural South Africa , 2016, AIDS.

[14]  A. Kharsany,et al.  HIV Infection and AIDS in Sub-Saharan Africa: Current Status, Challenges and Opportunities , 2016, The open AIDS journal.

[15]  J. Roos,et al.  Exploring Sexual Behaviour of Women in Zambia: A Qualitative Study , 2016 .

[16]  J. MacKillop,et al.  A social network analysis approach to alcohol use and co-occurring addictive behavior in young adults. , 2015, Addictive behaviors.

[17]  Alison L. Drake,et al.  HIV acquisition during pregnancy and postpartum is associated with genital infections and partnership characteristics , 2015, AIDS.

[18]  Namakau C. S. M'soka,et al.  Cultural and health beliefs of pregnant women in Zambia regarding pregnancy and child birth , 2015, Curationis.

[19]  C. Latkin,et al.  Love on Lockdown: How Social Network Characteristics Predict Separational Concurrency Among Low Income African-American Women , 2015, Journal of Urban Health.

[20]  L. Abu-Raddad,et al.  Dynamics of non-cohabiting sex partnering in sub-Saharan Africa: a modelling study with implications for HIV transmission , 2015, Sexually Transmitted Infections.

[21]  B. Richardson,et al.  Age-Disparate Partnerships and Risk of HIV-1 Acquisition Among South African Women Participating in the VOICE Trial , 2014, Journal of acquired immune deficiency syndromes.

[22]  H. Weiss,et al.  Systematic review of strategies to increase men's HIV-testing in sub-Saharan Africa , 2014, AIDS.

[23]  Y. Amirkhanian Social Networks, Sexual Networks and HIV Risk in Men Who Have Sex with Men , 2014, Current HIV/AIDS Reports.

[24]  J. Turan,et al.  Facilitating HIV status disclosure for pregnant women and partners in rural Kenya: a qualitative study , 2013, BMC Public Health.

[25]  C. Schindler,et al.  HIV Testing and Tolerance to Gender Based Violence: A Cross-Sectional Study in Zambia , 2013, PloS one.

[26]  W. K. Campbell,et al.  Egocentric social network analysis of pathological gambling. , 2013, Addiction.

[27]  R. Tubiana,et al.  Non-Disclosure of a Pregnant Woman’s HIV Status to Her Partner is Associated with Non-Optimal Prevention of Mother-to-Child Transmission , 2013, AIDS and Behavior.

[28]  R. Detels,et al.  Color-Coded Audio Computer-Assisted Self-Interviews (C-ACASI) for Poorly Educated Men and Women in a Semi-rural Area of South India: “Good, Scary and Thrilling” , 2013, AIDS and Behavior.

[29]  Irene A. Doherty,et al.  Sexual Networks, Surveillance, and Geographical Space During Syphilis Outbreaks in Rural North Carolina , 2012, Epidemiology.

[30]  J. Baeten,et al.  Increased risk of HIV-1 transmission in pregnancy: a prospective study among African HIV-1-serodiscordant couples , 2011, AIDS.

[31]  C. Latkin,et al.  Sexual Networks and Housing Stability , 2011, Journal of urban health.

[32]  C. Latkin,et al.  Social Network Characteristics and HIV Sexual Risk Behavior among Urban African American Women , 2011, Journal of Urban Health.

[33]  C. Latkin,et al.  Talking the talk, walking the walk: social network norms, communication patterns, and condom use among the male partners of female sex workers in La Romana, Dominican Republic. , 2009, Social science & medicine.

[34]  E. Wouters,et al.  Slow to share: social capital and its role in public HIV disclosure among public sector ART patients in the Free State province of South Africa , 2009, AIDS care.

[35]  C. Watts,et al.  Can social capital be intentionally generated? a randomized trial from rural South Africa. , 2008, Social science & medicine.

[36]  Patrick J Heagerty,et al.  A Comparison Between Audio Computer-Assisted Self-Interviews and Clinician Interviews for Obtaining the Sexual History , 2004, Sexually transmitted diseases.

[37]  D. Vlahov,et al.  Risk behaviors by audio computer-assisted self-interviews among HIV-seropositive and HIV-seronegative injection drug users. , 2002, AIDS education and prevention : official publication of the International Society for AIDS Education.