Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Sexual Health Sexual Health Society
Publishing on sexual health from the widest perspective
RESEARCH ARTICLE (Open Access)

Degree and correlates of sexual mixing in female sex workers in Karnataka, India

Bidhubhusan Mahapatra A H , Catherine M. Lowndes B , Kaveri Gurav C , Banadakoppa M. Ramesh C D , Stephen Moses C E , Reynold Washington C D F and Michel Alary G
+ Author Affiliations
- Author Affiliations

A Population Council, New Delhi, 110 003, India.

B Health Protection Services, Colindale, Health Protection Agency, London NW9 5EQ, UK.

C Karnataka Health Promotion Trust, Bangalore 560044, India.

D Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba MB R3T 2N2, Canada.

E Departments of Medical Microbiology and Medicine, University of Manitoba, Winnipeg, Manitoba MB R3T 2N2, Canada.

F St John’s Medical College and Hospital, Bangalore 560034, India.

G Department of Preventive and Social Medicine, Laval University, Québec City, Québec G1V 0A6, Canada.

H Corresponding author. Email: bbmahapatra@gmail.com

Sexual Health 10(4) 305-310 https://doi.org/10.1071/SH12215
Submitted: 8 January 2013  Accepted: 6 March 2013   Published: 8 May 2013

Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND

Abstract

Background: The degree of sexual mixing plays an important role in understanding disparities in sexually transmissible infections and HIV across social groups. This study examines the degree of sexual age mixing, and explores its individual and partnership level correlates among female sex workers (FSWs) in Karnataka, India. Methods: Data were drawn from special behavioural surveys conducted in 2006–07 among 577 FSWs in two districts of Karnataka: Belgaum and Bangalore. Sexual mixing in age was assessed as the difference in age between FSWs and their sexual partners, and the degree of assortativeness in sexual mixing was assessed using Newman’s assortativity coefficient. Results: A total of 577 FSWs were interviewed; 418 of whom reported two or more partnerships, resulting in 942 partnerships. In about half (52%) of these partnerships, the age difference between the FSW and her sexual partner was 5 years or more. The degree of assortativity in age mixing was 0.098, indicating minimally assortative mixing. The disassortativeness in age mixing was positively associated with young age and no formal education, and negatively with duration in sex work. Partnerships which were of a commercial nature were more likely to be disassortative than noncommercial partnerships. Conclusion: The minimally assortative age mixing indicates sexually transmissible infections can transfer from members of one age group to another. Efforts are required to limit the transmission of infection from one group to other by promoting safer sexual behaviour.

Additional keywords: age mixing, commercial sex work, Newman’s assortativity coefficient.


References

[1]  Cassels S, Pearson CR, Walters K, Simoni JM, Morris M. Sexual partner concurrency and sexual risk among gay, lesbian, bisexual, and transgender American Indian/Alaska natives. Sex Transm Dis 2010; 37 272–8.
Sexual partner concurrency and sexual risk among gay, lesbian, bisexual, and transgender American Indian/Alaska natives.Crossref | GoogleScholarGoogle Scholar | 20051930PubMed |

[2]  Goodreau SM, Cassels S, Kasprzyk D, Montano DE, Greek A, Morris M. Concurrent partnerships, acute infection and HIV epidemic dynamics among young adults in Zimbabwe. AIDS Behav 2012; 16 312–22.
Concurrent partnerships, acute infection and HIV epidemic dynamics among young adults in Zimbabwe.Crossref | GoogleScholarGoogle Scholar | 21190074PubMed |

[3]  Aral SO, Adimora AA, Fenton KA. Understanding and responding to disparities in HIV and other sexually transmitted infections in African Americans. Lancet 2008; 372 337–40.
Understanding and responding to disparities in HIV and other sexually transmitted infections in African Americans.Crossref | GoogleScholarGoogle Scholar | 18657713PubMed |

[4]  Hertog S. Heterosexual behavior patterns and the spread of HIV/AIDS: the interacting effects of rate of partner change and sexual mixing. Sex Transm Dis 2007; 34 820–8.
Heterosexual behavior patterns and the spread of HIV/AIDS: the interacting effects of rate of partner change and sexual mixing.Crossref | GoogleScholarGoogle Scholar | 17538515PubMed |

[5]  Boily MC, Masse B. Mathematical models of disease transmission: a precious tool for the study of sexually transmitted diseases. Can J Public Health 1997; 88 255–65.
| 1:STN:280:DyaK2svns1yisA%3D%3D&md5=f6783fce2ee64d4abcaad316bfa0ca45CAS | 9336095PubMed |

[6]  Kault DA. The impact of sexual mixing patterns on the spread of AIDS. Math Biosci 1995; 128 211–41.
The impact of sexual mixing patterns on the spread of AIDS.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK2MzivFyqsQ%3D%3D&md5=cc5e3c65381349c109be5510ac156808CAS | 7606135PubMed |

[7]  Hurt CB, Matthews DD, Calabria MS, Green KA, Adimora AA, Golin CE, et al Sex with older partners is associated with primary HIV infection among men who have sex with men in North Carolina. J Acquir Immune Defic Syndr 2010; 54 185–90.
Sex with older partners is associated with primary HIV infection among men who have sex with men in North Carolina.Crossref | GoogleScholarGoogle Scholar | 20057320PubMed |

[8]  Leclerc-Madlala S. Age-disparate and intergenerational sex in southern Africa: the dynamics of hypervulnerability. AIDS 2008; 22 S17–25.
Age-disparate and intergenerational sex in southern Africa: the dynamics of hypervulnerability.Crossref | GoogleScholarGoogle Scholar | 19033752PubMed |

[9]  Kraut-Becher JR, Aral SO. Patterns of age mixing and sexually transmitted infections. Int J STD AIDS 2006; 17 378–83.
Patterns of age mixing and sexually transmitted infections.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD28zgslKrtQ%3D%3D&md5=050dfd209501e074b6fce5e726000621CAS | 16734958PubMed |

[10]  Anderson RM, May RM, Ng TW, Rowley JT. Age-dependent choice of sexual partners and the transmission dynamics of HIV in Sub-Saharan Africa. Philos Trans R Soc Lond B Biol Sci 1992; 336 135–55.
Age-dependent choice of sexual partners and the transmission dynamics of HIV in Sub-Saharan Africa.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK38zkt1Kltw%3D%3D&md5=bcea492449017a879dbeaf1448750a0dCAS | 1353263PubMed |

[11]  Helleringer S, Kohler HP. Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi. AIDS 2007; 21 2323–32.
Sexual network structure and the spread of HIV in Africa: evidence from Likoma Island, Malawi.Crossref | GoogleScholarGoogle Scholar | 18090281PubMed |

[12]  Ott MQ, Barnighausen T, Tanser F, Lurie MN, Newell ML. Age-gaps in sexual partnerships: seeing beyond ‘sugar daddies’. AIDS 2011; 25 861–3.
Age-gaps in sexual partnerships: seeing beyond ‘sugar daddies’.Crossref | GoogleScholarGoogle Scholar | 21358377PubMed |

[13]  Kelly RJ, Gray RH, Sewankambo NK, Serwadda D, Wabwire-Mangen F, Lutalo T, et al Age differences in sexual partners and risk of HIV-1 infection in rural Uganda. J Acquir Immune Defic Syndr 2003; 32 446–51.
Age differences in sexual partners and risk of HIV-1 infection in rural Uganda.Crossref | GoogleScholarGoogle Scholar | 12640205PubMed |

[14]  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 1896–903.
Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe.Crossref | GoogleScholarGoogle Scholar | 12057552PubMed |

[15]  Ford K, Lepkowski JM. Characteristics of sexual partners and STD infection among American adolescents. Int J STD AIDS 2004; 15 260–5.
Characteristics of sexual partners and STD infection among American adolescents.Crossref | GoogleScholarGoogle Scholar | 15075021PubMed |

[16]  Wilson DP. Modelling based on Australian HIV notifications data suggests homosexual age mixing is primarily assortative. J Acquir Immune Defic Syndr 2009; 51 356–60.
| 19582897PubMed |

[17]  Ganju D, Mahapatra B, Saggurti N. Male migrants’ non-spousal sexual partnerships in the place of origin: an in-depth investigation in two rural settings of India. Cult Health Sex 2013; 15 341–57.
Male migrants’ non-spousal sexual partnerships in the place of origin: an in-depth investigation in two rural settings of India.Crossref | GoogleScholarGoogle Scholar | 23323963PubMed |

[18]  Sweetman C, ed. Gender, development and marriage. Oxford, UK: Oxfam GB; 2003.

[19]  Saggurti N, Verma RK, Halli SS, Swain SN, Singh R, Modugu HR, et al Motivations for entry into sex work and HIV risk among mobile female sex workers in India. J Biosoc Sci 2011; 43 535–54.
Motivations for entry into sex work and HIV risk among mobile female sex workers in India.Crossref | GoogleScholarGoogle Scholar | 21729360PubMed |

[20]  Liang K-Y, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73 13–22.
Longitudinal data analysis using generalized linear models.Crossref | GoogleScholarGoogle Scholar |

[21]  Magnani R, Sabin K, Saidel T, Heckathorn D. Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS 2005; 19 S67–72.
Review of sampling hard-to-reach and hidden populations for HIV surveillance.Crossref | GoogleScholarGoogle Scholar | 15930843PubMed |

[22]  Ramesh BM, Beattie TS, Shajy I, Washington R, Jagannathan L, Reza-Paul S, et al Changes in risk behaviours and prevalence of sexually transmitted infections following HIV preventive interventions among female sex workers in five districts in Karnataka state, south India. Sex Transm Infect 2010; 86 i17–24.
Changes in risk behaviours and prevalence of sexually transmitted infections following HIV preventive interventions among female sex workers in five districts in Karnataka state, south India.Crossref | GoogleScholarGoogle Scholar | 20167725PubMed |

[23]  Ramesh BM, Moses S, Washington R, Isac S, Mohapatra B, Mahagaonkar SB, et al Determinants of HIV prevalence among female sex workers in four south Indian states: analysis of cross-sectional surveys in twenty-three districts. AIDS 2008; 22 S35–44.
Determinants of HIV prevalence among female sex workers in four south Indian states: analysis of cross-sectional surveys in twenty-three districts.Crossref | GoogleScholarGoogle Scholar | 19098478PubMed |

[24]  Verma R, Saggurti N, Singh A, Swain S. Alcohol and sexual risk behavior among migrant female sex workers and male workers in districts with high in-migration from four high HIV prevalence states in India. AIDS Behav 2010; 14 S31–9.
Alcohol and sexual risk behavior among migrant female sex workers and male workers in districts with high in-migration from four high HIV prevalence states in India.Crossref | GoogleScholarGoogle Scholar | 20574634PubMed |

[25]  India Health Action Trust (IHAT). HIV/AIDS situation and response in Belgaum district: epidemiological appraisal using data triangulation. Bangalore: IHAT, National Institute for Medical Statistics; 2010.

[26]  Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 1986; 42 121–30.
Longitudinal data analysis for discrete and continuous outcomes.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaL283ktlGmuw%3D%3D&md5=ac3f20a16678f1dc0a9815d14ac04cceCAS | 3719049PubMed |

[27]  Newman ME. Mixing patterns in networks. Phys Rev E Stat Nonlin Soft Matter Phys 2003;67(026126): 1–14.

[28]  Gras MJ, Weide JF, Langendam MW, Coutinho RA, van den Hoek A. HIV prevalence, sexual risk behaviour and sexual mixing patterns among migrants in Amsterdam, The Netherlands. AIDS 1999; 13 1953–62.
HIV prevalence, sexual risk behaviour and sexual mixing patterns among migrants in Amsterdam, The Netherlands.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1MvktFyisQ%3D%3D&md5=5a7e554d0bbbf66ca15bbdd525dfeac1CAS | 10513655PubMed |

[29]  Aubé-Maurice J, Clement M, Bradley J, Lowndes CM, Gurav K, Alary M. Gender relations and risks of HIV transmission in South India: the discourse of female sex workers’ clients. Cult Health Sex 2012; 14 629–44.
Gender relations and risks of HIV transmission in South India: the discourse of female sex workers’ clients.Crossref | GoogleScholarGoogle Scholar | 22574910PubMed |

[30]  Hope R. Addressing cross-generational sex: a desk review of research and programs. Washington DC: Population Reference Bureau and the Interagency Youth Working Group; 2007.

[31]  Urada LA, Malow RM, Santos NC, Morisky DE. Age differences among female sex workers in the Philippines: sexual risk negotiations and perceived manager advice. AIDS Research and Treatment. 2012;
Age differences among female sex workers in the Philippines: sexual risk negotiations and perceived manager advice.Crossref | GoogleScholarGoogle Scholar | 22848800PubMed |

[32]  Panchanadeswaran S, Johnson SC, Sivaram S, Srikrishnan AK, Zelaya C, Solomon S, et al A descriptive profile of abused female sex workers in India. J Health Popul Nutr 2010; 28 211–20.
A descriptive profile of abused female sex workers in India.Crossref | GoogleScholarGoogle Scholar | 20635631PubMed |

[33]  Beattie TS, Bhattacharjee P, Ramesh BM, Gurnani V, Anthony J, Isac S, et al Violence against female sex workers in Karnataka state, south India: impact on health, and reductions in violence following an intervention program. BMC Public Health 2010; 10 476–87.
Violence against female sex workers in Karnataka state, south India: impact on health, and reductions in violence following an intervention program.Crossref | GoogleScholarGoogle Scholar | 20701791PubMed |

[34]  Gregson S, Nyamukapa CA, Garnett GP, Mason PR, Zhuwau T, Caraël M, et al Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe. Lancet 2002; 359 1896–903.
Sexual mixing patterns and sex-differentials in teenage exposure to HIV infection in rural Zimbabwe.Crossref | GoogleScholarGoogle Scholar | 12057552PubMed |

[35]  Coughlan E, Mindel A, Estcourt CS. Male clients of female commercial sex workers: HIV, STDs and risk behaviour. Int J STD AIDS 2001; 12 665–9.
Male clients of female commercial sex workers: HIV, STDs and risk behaviour.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3MrhslGhsA%3D%3D&md5=3b92fe6b79bc1fb3cb5f06a2acb94286CAS | 11564334PubMed |

[36]  Shaw S, Deering K, Reza-Paul S, Isac S, Ramesh B, Washington R, et al Prevalence of HIV and sexually transmitted infections among clients of female sex workers in Karnataka, India: a cross-sectional study. BMC Public Health 2011; 11 S4–12.
Prevalence of HIV and sexually transmitted infections among clients of female sex workers in Karnataka, India: a cross-sectional study.Crossref | GoogleScholarGoogle Scholar | 22375691PubMed |

[37]  Patra RK, Mahapatra B, Kovvali D, Proddutoor L, Saggurti N. Anal sex and associated HIV-related sexual risk factors among female sex workers in Andhra Pradesh, India. Sex Health 2012; 9 430–7.
Anal sex and associated HIV-related sexual risk factors among female sex workers in Andhra Pradesh, India.Crossref | GoogleScholarGoogle Scholar | 23017434PubMed |

[38]  Nelson SJ, Manhart LE, Gorbach PM, Martin DH, Stoner BP, Aral SO, et al Measuring sex partner concurrency: it’s what’s missing that counts. Sex Transm Dis 2007; 34 801–7.
Measuring sex partner concurrency: it’s what’s missing that counts.Crossref | GoogleScholarGoogle Scholar | 17551413PubMed |