1. Recent, young and highly educated migrants yet economically disadvantaged. Sexual mixing is high, especially among non-cohabiting relationships. Being with a partner from a different SSA country is common, in particular for women in non-cohabiting relationships. Partners not from SSA are predominantly born in France. Sexual mixing is high, especially among non-cohabiting relationships. Being with a partner from a different SSA country is common, in particular for women in non-cohabiting relationships. Partners not from SSA are predominantly born in France. The majority of respondents have a partner from SSA whether from the same or a different country. Condom use is lower for women with a SSA partner. Spatial segregation and professionnal segmentation experienced by SSA migrants 5,6 probably produce social and sexual SSA networks. Partners not from SSA may perceive SSA women as “at risk” and suggest (or impose?) condom use. 1.Del Amo, J., S. Pérez-Cachafeiro, et al. (2009). Migrant health : Epidemiology of HIV and AIDS in migrant communities ant ethnic minorities in EU/EEA countries. Stockholm, ECDC: 121. 2.Le Vu, S., Y. Le Strat, et al. (2010). "Population-based HIV-1 incidence in France, 2003-08: a modelling analysis." Lancet Infect Dis. 3.Cazein, F., F. Lot, et al. (2010). "Surveillance de l’infection à VIH-sida en France, 2009." Bulletin épidémiologique hebdomadaire(45-46): 467-472. 4.Lydié, N. dir. (2007). Les populations africaines d'Ile-de-France face au VIH/sida. Connaissances, attitudes, croyances et comportements. Saint-Denis, Institut national de prévention et d'éducation pour la santé, coll. Etudes Santé. 5.Beauchemin, C., C. Hamel, et al. (2010). Trajectoires et Origines. Documents de travail. Paris, Ined: 152. 6.Pan Ké Shon, J.-L. (2009). "Ségrégation ethnique et ségrégation sociale en quartiers sensibles." Revue française de sociologie 50(3): 451-487. Who are the respondents? 973 women and 901 men Aged 18-49 Born in a sub-Saharan African (SSA) country (mostly from 6 countries) Living in Paris and its surrounding area Tab. 1 – Factors associated with condom use, by cohabitation and sex CohabitingMenWomen Non-cohabitingMen Women % of condom use22,8 16,5 % of condom use42,9 42,1 % OR % % % Partner's ethnicity Same country of birth23,6112,61Same country of birth35,6135,01 Different SSA country27,71,2417,11,17Different SSA country57,11,9642,41,16 Other country16,70,6325,71,67*Other country46,00,7852,21,96** Age gap Man is 0-4 years older21,7122,31Man is 0-4 years older52,8143,81 Man is more than 4 years older24,01,0213,30,57Man is more than 4 years older23,80,37***40,50,85 Relationship duration 0-5 years28,9122,310-2 years54,4148,11 6 years or more18,30,49**13,70,79 3 years or more25,50,39***33,70,74 * : p<0,1; **:p<0,05; ***:p<0,001 Controlled for age, diploma, number of partners over the past 12 months Condom use is higher in non-cohabiting relationships. Fear of HIV is very high (80%). It is higher for women with a partner from SSA than for women with a partner not from SSA. A growing proportion of sub-Saharan African migrants acquired HIV after having migrated 3. Little is known about the epidemic dynamic in this population. Rare condom use No sexual mixing Formal relation ship Frequent condom use Sexual mixing Casual relation ship We describe their sexual networks and preventive behaviours in France. These results highlight the necessity of taking into account discrimination experienced by SSA migrants in order to better analyse the HIV/AIDS epidemic in these populations. Among men in non-cohabiting relationships, those who have a larger age gap with their partner are less likely to use a condom. For men, duration has a very strong impact on condom use: the longer the relationship, the lower the condom use whatever their cohabiting status. For women, being with a partner not from SSA increases the probability of using a condom both in cohabiting and non-cohabiting relationships.