| Literature DB >> 31796002 |
Theodora Mbunda1,2,3, Edith A M Tarimo4, Muhammad Bakari5, Eric Sandström6, Asli Kulane7.
Abstract
BACKGROUND: Despite the present HIV preventive and treatment programs, the prevalence of HIV is still high in eastern and southern Africa, among young women and populations at high. risk for HIV transmission such as sex workers. There is a need to prepare a suitable population that will participate in efficacy HIV vaccine trials to determine the efficacy of HIV vaccines that had proven to be safe and immune potent.Entities:
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Year: 2019 PMID: 31796002 PMCID: PMC6889671 DOI: 10.1186/s12889-019-7822-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1It shows recruitment pattern by age group and network size of young female sex workers, FSWs
Sociodemographic characteristics of young female sex workers in Dar es Salaam
| Variables | Weighted frequency %, | n | N |
|---|---|---|---|
| (95% CI) | |||
| Age (years) | 600 | ||
| 18–20 | 53.1(0.48–0.58) | 313 | |
| 21–25 | 46.9(0.42–0.52) | 237 | |
| District of Residence | 600 | ||
| Temeke | 39(0.33–0.45) | 240 | |
| Ilala | 21(0.17–0.25) | 123 | |
| Kinondoni | 20(0.17–0.25) | 115 | |
| Kigamboni | 19(0.13–0.24) | 113 | |
| Ubungo | 1(0.00–0.03) | 9 | |
| Marital status | 598 | ||
| Single | 96.30(0.94–0.99) | 577 | |
| Divorced/widow | 2.3(0.01–0.04) | 14 | |
| Married/cohabiting | 1.4(−0.003–0.03) | 7 | |
| Level of education | 600 | ||
| No formal education | 17.2(0.139–0.204) | 107 | |
| Primary education | 60.7(0.57–0.65) | 364 | |
| Ordinary Secondary | 21.1(0.18–0.25) | 124 | |
| Vocational schools | 0.7(−0.0004–0.01) | 3 | |
| University | 0.4(−0.002–0.01) | 2 | |
| People participants were living with | 600 | ||
| Peers | 43.69(0.39–0.48) | 264 | |
| Brothel | 21.6(0.18–0.25) | 133 | |
| Parents/guardians | 19.9(0.15–0.24) | 112 | |
| Alone | 12.8(0.1–0.16) | 79 | |
| Spouse/partners | 1.2(0.003–0.02) | 7 | |
| Sex agent/Pimp | 0.9(0.001–0.02) | 5 | |
| Period of Living in current residence | 598 | ||
| 0-6 M | 16.6(0.14–0.20) | 95 | |
| 6-12 M | 35.4(0.32–0.39) | 203 | |
| > 12 M | 48(0.44–0.52) | 300 |
Frequency distribution of sexual behaviors among young female sex workers in Dar es Salaam
| Variables | Weighted frequency % | n | N |
|---|---|---|---|
| (95 CI %) | |||
| Alcohol Intake | 600 | ||
| Yes | 76.7(0.73–0.80) | 464 | |
| No | 23.3(0.20–0.27) | 136 | |
| Alcohol intake during sex | 490 | ||
| Yes | 72.7(0.68–0.77) | 358 | |
| No | 27.3(0.23–0.32) | 132 | |
| Have ever used illicit drugs | |||
| Yes | 20.5(0.17–0.23) | 122 | 596 |
| No | 79.5(0.76–0.83) | 474 | |
| Have had anal sex | |||
| Yes | 23.7(0.20–0.27) | 142 | 599 |
| No | 76.3(0.73–0.80) | 457 | |
| Have had unprotected sex with an irregular client | |||
| Yes | 55.8(0.52–0.60) | 334 | 599 |
| No | 44.2(0.40–0-48) | 265 | |
| Having an agent for soliciting sex clients | |||
| Yes | 31(0.27–0.35) | 185 | 597 |
| No | 69(0.65–0.73) | 412 | |
| Having income apart from selling sex | 599 | ||
| Yes | 13.4(0.11–0.16) | 80 | |
| No | 86.6(0.84–0.89) | 519 | |
| Age when started to use illicit drugs for the first time | 118 | ||
| 10–14 years | 14(0.08–0.21) | 15 | |
| 15–19 years | 61(0.51–0.72) | 74 | |
| 20–25 years | 25(0.16–0.33) | 29 | |
| Age at 1st sexual intercourse | |||
| ≤ 14 years | 26.4(0.23–0.30) | 157 | 593 |
| > 14 years | 73.6(0.70–0.77) | 436 | |
| Reported number of lifetime sex partners | |||
| ≤ 20 | 11(0.09–0.14) | 65 | 600 |
| > 20 | 89(0.86–0.91) | 535 | |
| Number of sexual clients at last day of business | |||
| ≤ 5 | 70(0.66–0.73) | 407 | 600 |
| > 5 | 30(0.27–0.34) | 193 | |
| Period of using illicit drugs in life time | |||
| ≤ 24 months | 14.5(0.11–0.17) | 89 | 600 |
| > 24 months | 85.5(0.83–0.89) | 511 | |
| Age when started selling sex | |||
| 10–14 years | 9(0.83–0.89) | 54 | 600 |
| 15–19 years | 80(0.77–0.83) | 480 | |
| More than 20 years | 11(0.09–0.14) | 66 | |
Bivariate and multivariable logistic regression for factors associated with willingness to participate in HIV vaccine trial, WTP
| Factors | WTP | Crude OR | Adjusted OR | ||
|---|---|---|---|---|---|
| n (column%) | |||||
| Need to ask permission from sex agent for participation in HIV vaccine trial | |||||
| Yes | 131(24%) | 0.60(0.32–1.15) | 0.13 | 0.46(0.23–0.94) | 0.04 |
| No | 412(76%) | 1 | 1 | ||
| Participation in HIV vaccine trials may affect relationship with clients | |||||
| Yes | 226(41%) | 1.55(0.83–2.90) | 0.17 | 1.50(0.79–2.85) | 0.2 |
| No | 319(59%) | 1 | 1 | ||
| Influence of client during participation in HIV vaccine trial | |||||
| Yes | 90(17%) | 0.57(0.29–1.13) | 0.11 | 0.70(0.36–1.32) | 0.3 |
| No | 455(83%) | 1 | 1 | ||
| Having income apart from selling sex | |||||
| Yes | 69(13%) | 0.58(0.27–1.26) | 0.17 | 0.59(0.27–1.30) | 0.2 |
| No | 475(87%) | 1 | 1 | ||
1Bivariate analysis between all independent variables and willingness to participate in efficacy HIV vaccine trial was done. Only few variables with significance level at p ≤ 0.25 were included in multivariable analysis