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GHENT UNIVERSITY Karoline FONCK - International Centre for ...

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Widows, divorcees and separated women were more HIV infected. Women who reported<br />

always using condoms were 50% less likely to be HIV infected than women who reported no<br />

condom use.<br />

Table 3 : Characteristics among HIV- positive and HIV- negative sew workers in Nairobi.<br />

HIV negative<br />

% or mean<br />

HIV positive<br />

% or mean<br />

OR (95% CI) P<br />

Age 32.1 31.8 0.9 (0.9-1.4) 0.8<br />

Years lived in Nairobi<br />

Marital status :<br />

11.4 10.3 1.0 (0.9-2.3) 0.3<br />

Never married<br />

43<br />

33 0.8 (0.7-1.0) 0.06<br />

Widowed/divorced/separated 57<br />

68<br />

Age at first sex 16.4 15.8 1.6 (0.9-1.2) 0.1<br />

Duration prostitution 6.9 6.1 1.1 (0.6-1.4) 0.2<br />

Partners/day 3.7 3.6 0.9 0.8<br />

Partners/week 13.6 23.9 1.9 (0.6-20.9) 0.06<br />

Charge per act<br />

Condom use :<br />

125 107 1.2 0.2<br />

Never<br />

36<br />

38 1.7 (0.9-3.1)* 0.05*<br />

1-49%<br />

21<br />

29<br />

50-99%<br />

21<br />

23<br />

Always<br />

23<br />

11<br />

Regular partner 62 56 0.9 (0.7-1.2) 0.2<br />

Use of oral contraceptives 11 10 1.1 (0.5-2.3) 0.5<br />

Douching 71 66 0.9 (0.6-1.2) 0.5<br />

Any lubricants used 28 18 1.6 (0.9-2.7) 0.04<br />

Sex during menses 23 24 1.0 (0.9-1.2) 0.4<br />

Anal intercourse 15 14 1.0 (0.9-1.1) 0.5<br />

Any alcohol use 47 56 0.8 (0.7-1.1) 0.1<br />

History of STD 41 44 0.9 (0.7-1.2) 0.4<br />

*P value <strong>for</strong> categories «always» compared with «never». OR= odds ratios; CI= confidence intervals.<br />

We compared the characteristics of the women according to the place of work (Table 4).<br />

Women working in bars compared with women working at home were younger, had more<br />

partners per week and used alcohol more often. They had a higher HIV prevalence but this<br />

was not significantly different. Only 10 women were working in a nightclub and they were<br />

more often single, charged more per sex act, had anal sex and sex during menstruation<br />

more often, had a higher use of lubricants and used alcohol more often. Only one of them<br />

was HIV infected.<br />

To examine further the relation among risk factors <strong>for</strong> HIV infection, we per<strong>for</strong>med logistic<br />

regression analysis. All variables significantly associated with HIV in univariate analysis were<br />

included in the model. These were marital status, partners per week, condom use, use of<br />

lubricants, place of work, trichomoniasis and SIL.<br />

PREVENTION OF SEXUALLY TRANSMITTED INFECTIONS INCLUDING HIV 86

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