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Love on Lockdown: How Social Network Characteristics Predict Separational Concurrency Among Low Income African-American Women

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Abstract

One out of nine African-American men between the ages of 20 and 34 is behind bars, resulting in many African-American women losing their primary romantic partners to incarceration. Research suggests that partner incarceration may contribute to increased risk of sexually transmitted infections (STIs)/human immunodeficiency virus (HIV); however, factors associated with women’s decisions to begin new sexual partnerships following partner incarceration (i.e., separational concurrency) have not been well studied. This study examined the social context relevant to initiating separational concurrency, following incarceration of a primary male partner. Cross-sectional secondary data analysis of 6-month follow-up data from the CHAT Project, a social-network based HIV/sexually transmitted disease (STD) prevention study in Baltimore, MD, USA. Participants were N = 196 African-American women, who reported ever having had a partner who was incarcerated for at least 6 months during the relationship. The majority (81.5 %) of women were unemployed with a mean age of 41.7 years. Over half of the sample (59.5 %) reported having used crack or heroin at least once in the previous 12 months; 48.5 % of the women had experienced physical abuse, with over half of the sample reporting a lifetime history of emotional abuse (54.6 %). Separational concurrency, defined as answering yes to the item, “While [your] partner was incarcerated, did you have any other sexual partners?,” was the primary outcome measure. After adjusting for age, drug use and unemployment the multiple logistic regression model found that women who reported a history of physical or emotional abuse were over two times as likely to report separational concurrency than women without an abuse history [adjusted odds ratio (AOR), 2.24; 95 % CI, 1.24, 4.05; p = .007 and AOR, 2.44; 95 % CI, 1.33, 4.46; p = .004, respectively]. Individuals who reported a higher number of drug-using sex partners (AOR, 2.49; 95 % CI, 1.4, 4.5; p = .002), sex exchange partners (AOR, 4.0; 95 % CI, 1.8 8.9; p = .001), and sexual partners who engaged in concurrency (AOR: 2.67; 95 % CI: 1.5, 4.8; p = .001) were significantly more likely to report separational concurrency. Conversely, participants who reported more female kin in their social networks (AOR, .808; 95 % CI, .67, .97; p = .025), having known network members a longer time (AOR, .997; 95 % CI, .993, .999; p = .043), and higher levels of trust for network members (AOR, .761; 95 % CI, .63, .92; p = .005) were significantly less likely to report separational concurrency. Results of this study demonstrate that social network characteristics may be crucial to understanding separational concurrency among African-American urban women who have lost a partner to incarceration. Social network and other resource-based interventions, which provide instrumental, social, and economic resources to women who have experienced the loss of a partner to incarceration, may be important tools in empowering women and helping to reduce the disproportionate burden of STIs/HIV among low income, African-American women.

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References

  1. Pew Charitable Trusts. Collateral costs: incarceration’s effect on economic mobility. Washington, DC: The Pew Charitable Trusts; 2010.

  2. Pew Charitable Trusts. Prison count 2010: state population declines for the first time in 38 years. http://www.pewstates.org/uploadedFiles/PCS_Assets/2010/Pew_Prison_Count_2010.pdf. Accessed April 2010.

  3. Mauer M, King RS. Uneven justice: state rates of incarceration by race and ethnicity. Washington, DC: The Sentencing Project; 2007.

  4. Pew Charitable Trusts. One in 100: behind bars in America 2008. Washington, DC: The Pew Charitable Trusts; 2008.

  5. Freudenberg N. Jails, prisons, and the health of urban populations: a review of the impact of the correctional system on community health. J Urban Heal. 2001. http://link.springer.com/article/10.1093/jurban/78.2.214. Accessed May 20 2014.

  6. Dumont D, Brockmann B. Public health and the epidemic of incarceration. Public Heal. 2012. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329888/. Accessed May 20 2014.

  7. Schnittker J, John A. Enduring stigma: the long-term effects of incarceration on health. J Health Soc Behav. 2007. http://hsb.sagepub.com/content/48/2/115.short. Accessed May 20 2014.

  8. Wilper A, Woolhandler S. The health and health care of US prisoners: results of a nationwide survey. Public Heal. 2009. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2661478/. Accessed May 20 2014.

  9. Dumont D, Allen S. Incarceration, community health, and racial disparities. Heal care. 2013. http://muse.jhu.edu/journals/journal_of_health_care_for_the_poor_and_underserved/v024/24.1.dumont.html. Accessed May 20 2014.

  10. Maryland Department of Public Safety and Correctional Services. Maryland Division of Correction, Annual Report FY2010. Baltimore, Maryland: The Division; 2010.

  11. Thomas J, Gaffield M. Social structure, race, and gonorrhea rates in the southeastern United States. Ethn Dis. 2003; 13: 362–8. http://www.ishib.org/ED/journal/ethn-13-03-362.pdf. Accessed May 15, 2014.

    PubMed  Google Scholar 

  12. Thomas JC, Sampson LA. High rates of incarceration as a social force associated with community rates of sexually transmitted infection. J Infect Dis. 2005; 191(Suppl 1): S55–60. doi:10.1086/425278.

    Article  PubMed  Google Scholar 

  13. Thomas JC. From slavery to incarceration: social forces affecting the epidemiology of sexually transmitted diseases in the rural South. Sex Transm Dis. 2006; 33(7 Suppl): S6–10. doi:10.1097/01.olq.0000221025.17158.26.

    Article  PubMed  Google Scholar 

  14. Khan M, Behrend L. Dissolution of primary intimate relationships during incarceration and associations with post-release STI/HIV risk behavior in a southeastern city. Sex Transm Dis. 2011; 38(1): 43–7. doi:10.1097/OLQ.0b013e3181e969d0.DISSOLUTION.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Adimora AA, Schoenbach VJ, Doherty IA. Concurrent sexual partnerships among men in the United States. Am J Public Health. 2007; 97(12): 2230–7. doi:10.2105/AJPH.2006.099069.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Pouget E, Kershaw T. Associations of sex ratios and male incarceration rates with multiple opposite-sex partners: potential social determinants of HIV/STI transmission. Public Heal. 2010; 125(Suppl 4): 70–80. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2882977&tool=pmcentrez&rendertype=abstract. Accessed May 15, 2014.

    Google Scholar 

  17. Wingood G, DiClemente R. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Heal Educ Behav. 2000; 27(5): 539–65. http://www.ncbi.nlm.nih.gov/pubmed/11009126. Accessed May 15, 2014.

    Article  CAS  Google Scholar 

  18. Kerrigan D, Andrinopoulos K, Chung S, Glass B, Ellen J. Gender ideologies, socioeconomic opportunities, and HIV/STI-related vulnerability among female, African-American adolescents. J Urban Health. 2008; 85(5): 717–26. doi:10.1007/s11524-008-9292-9.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Adimora A. Social context of sexual relationships among rural African Americans. Sex Transm. 2001. http://journals.lww.com/stdjournal/Abstract/2001/02000/Social_Context_of_Sexual_Relationships_Among_Rural.2.aspx. Accessed May 19 2014.

  20. Cunradi C, Caetano R, Schafer J. Socioeconomic predictors of intimate partner violence among white, black, and Hispanic couples in the United States. J Fam Violence. 2002. http://link.springer.com/article/10.1023/A:1020374617328. Accessed May 20 2014.

  21. Reed E, Raj A, Miller E, Silverman J. Losing the “gender” in gender-based violence: The missteps of research on dating and intimate partner violence. Violence Against Women. 2010. http://www.cce.csus.edu/conferences/cdph/evaw_tdv10/docs/confMaterials_v2/3B.LosingGenderin GenderBasedViolence_ElizabethReed.pdf. Accessed May 20 2014.

  22. Sobo E. Finance, romance, social support, and condom use among impoverished inner-city women. Hum Organ. 1995. http://sfaa.metapress.com/index/g568548023132n37.pdf. Accessed May 20 2014.

  23. Bowleg L, Teti M, Massie J. “What does it take to be a man? What is a real man?”: ideologies of masculinity and HIV sexual risk among Black heterosexual men. Cult Heal. 2011. http://www.tandfonline.com/doi/abs/10.1080/13691058.2011.556201. Accessed May 20 2014.

  24. Carey M, Senn T, Seward D, Vanable P. Urban African-American men speak out on sexual partner concurrency: findings from a qualitative study. AIDS Behav. 2010. http://link.springer.com/article/10.1007/s10461-008-9406-0. Accessed May 20 2014.

  25. Cooper HL, Clark CD, Barham T, Embry V, Caruso B, Comfort M. “He was the story of my drug use life”: a longitudinal qualitative study of the impact of partner incarceration on substance misuse patterns among african american women. Subst Use Misuse. 2013:176–188. doi:10.3109/10826084.2013.824474

  26. Browning S, Miller R, Spruance L. Dividing the ties that bind: black men and their families. J Afr Am Men. 2001; 6(1): 87–102.

    Article  Google Scholar 

  27. Payne J. Women drug users in North Cumbria: what influences initiation into heroin in this non-urban setting? Sociol Health Illn. 2007; 29(5): 633–55. doi:10.1111/j.1467-9566.2007.01016.x.

    Article  PubMed  Google Scholar 

  28. Gorbach P, Stoner B. “It takes a village”: understanding concurrent sexual partnerships in Seattle, Washington. Sex Transm. 2002. http://journals.lww.com/stdjournal/Abstract/2002/08000/_It_Takes_a_Village___Understanding_Concurrent.4.aspx. Accessed May 19 2014.

  29. Adimora AA, Schoenbach VJ, Martinson F, Donaldson KH, Stancil TR, Fullilove RE. Concurrent sexual partnerships among African Americans in the rural south. Ann Epidemiol. 2004; 14: 155–60. doi:10.1016/S1047-2797(03)00129-7.

    Article  PubMed  Google Scholar 

  30. Latkin C, Hua W, Forman V. The relationship between social network characteristics and exchanging sex for drugs or money among drug users in Baltimore, MD, USA. Int J STD. 2003. http://std.sagepub.com/content/14/11/770.short. Accessed May 19 2014.

  31. Taylor R, Roberts D. Kinship support and maternal and adolescent well-being in economically disadvantaged African-American families. Child Dev. 1995. http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8624.1995.tb00953.x/full. Accessed May 19, 2014.

  32. Senn T, Scott-Sheldon L. Sexual partner concurrency of urban male and female STD clinic patients: a qualitative study. Arch Sex. 2011. http://link.springer.com/article/10.1007/s10508-010-9688-y. Accessed May 19 2014.

  33. Grieb SMD, Davey-Rothwell M, Latkin CA. Social and sexual network characteristics and concurrent sexual partnerships among urban African American high-risk women with main sex partners. AIDS Behav. 2012; 16(4): 882–9. doi:10.1007/s10461-011-0030-z.

    Article  PubMed  Google Scholar 

  34. Pilowsky D, Hoover D. Impact of social network characteristics on high-risk sexual behaviors among non-injection drug users. Subst Use. 2007. http://informahealthcare.com/doi/abs/10.1080/10826080701205372. Accessed May 19 2014.

  35. Aral SO, Adimora AA, Fenton KA. Understanding and responding to disparities in HIV and other sexually transmitted infections in African Americans. Lancet. 2008; 372(9635): 337–40. doi:10.1016/S0140-6736(08)61118-6.

    Article  PubMed  Google Scholar 

  36. Walsh N. Baltimore behind bars: how to reduce the jail population, save money and improve public safety. 2010. https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=252877. Accessed May 15 2014.

  37. Latkin C, Mandell W, Vlahov D, Oziemkowska M, Celentano D. People and places: behavioral settings and personal network characteristics as correlates of needle sharing. JAIDS J Acquir Immune Defic Syndr. 1996; 13(3): 273–80.

    Article  CAS  Google Scholar 

  38. Latkin CA, Knowlton AR, Hoover D, Mandell W. Drug network characteristics as a predictor of cessation of drug use among adult injection drug users: a prospective study. Am J Drug Alcohol Abuse. 1999; 25(3): 463–73.

    Article  CAS  PubMed  Google Scholar 

  39. Barrera M. A method for assessing social support networks in community survey research. Connections. 1980; 3: 8–13.

    Google Scholar 

  40. Lemeshow S, Hosmer D. A review of goodness of fit statistics for use in the development of logistic regression models. Am J Epidemiol. 1982. http://aje.oxfordjournals.org/content/115/1/92.short. Accessed May 15 2014.

  41. Crenshaw K. Mapping the margins: intersectionality, identity politics, and violence against women of color. Stanford Law Rev. 1991. http://www.jstor.org/stable/1229039. Accessed May 20 2014.

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Acknowledgments

Research reported in this publication was supported by the National Institute on Mental Health (R01 MH66810 & 1K01MH096611-01A1), the National Institute on Drug Abuse (R01 DA016555) and the Johns Hopkins Center for AIDS Research (1P30AI094189). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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  1. Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21231, USA

    Kelly M. King, Carl A. Latkin & Melissa A. Davey-Rothwell

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Correspondence to Kelly M. King.

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King, K.M., Latkin, C.A. & Davey-Rothwell, M.A. Love on Lockdown: How Social Network Characteristics Predict Separational Concurrency Among Low Income African-American Women. J Urban Health 92, 460–471 (2015). https://doi.org/10.1007/s11524-015-9951-6

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