| Literature DB >> 28878871 |
S Hessou1, V Dougnon2, Y Glele-Ahanhanzo3, B C A Imorou4, C Ahoussinou5, B Legba2,6, D M Zannou1, L Baba-Moussa6.
Abstract
Cases of HIV are common in Benin, with infection rates varying according to socioeconomic and cultural factors, and by region. Certain segments of the population, such as prison inmates, sex worker clients and truck drivers are at high risk for HIV/AIDS. The aim of this study is to identify which behavioral and serological indicators contribute to the spread of HIV among prisoners. A total of 496 inmates from prisons located in all major cities in Benin were surveyed. Data was collected through interview sessions carried out using a questionnaire and through blood samples. The results show that most inmates are Beninese (83.5%), and the average age is 33 years (range: 14-80 years). No prisoner reported using a condom the last time they engaged in sexual intercourse. Blood exposure was found in 14.6% of inmates and HIV was detected in 1.4% of cases. Our analysis indicates that the length of detention and gender are factors that influence HIV status. However, age, education, nationality and HIV awareness had no significant effect on HIV prevalence among inmates. The results highlight the need to raise awareness in prisons about HIV. This can be achieved by strengthening communication strategies and by organizing HIV and sexually transmitted diseases information sessions for both prison officers and inmates.Entities:
Keywords: HIV; behavioral and serological indicators; condoms; inmates; prisons
Year: 2017 PMID: 28878871 PMCID: PMC5575451 DOI: 10.4081/jphia.2017.678
Source DB: PubMed Journal: J Public Health Afr ISSN: 2038-9922
Distribution of surveyed inmates by prison.
| Prisons | Prisoners enrolled | % total sample | Prisoners expected to enrol |
|---|---|---|---|
| Abomey | 72 | 14.5 | 70 |
| Abomey-Calavi | 38 | 7.7 | 41 |
| Akpro-Missereté | 53 | 10.7 | 51 |
| Cotonou | 136 | 27.4 | 136 |
| Kandi | 23 | 4.6 | 22 |
| Lokossa | 33 | 6.7 | 33 |
| Natitingou | 34 | 6.9 | 34 |
| Ouidah | 24 | 4.8 | 23 |
| Parakou | 35 | 7.1 | 36 |
| Porto-Novo | 48 | 9.7 | 54 |
| Total | 496 | 100 | 500 |
Distribution of surveyed inmates based on age, gender, education level and profession.
| Characteristics | Surveyed inmates | |
|---|---|---|
| No | % | |
| Age (n=496) | ||
| 15-19 | 20 | 4.0 |
| 20-24 | 68 | 13.7 |
| 25-29 | 103 | 20.8 |
| 30-34 | 116 | 23.4 |
| 35-39 | 78 | 15.7 |
| 40-44 | 43 | 8.7 |
| 45-49 | 31 | 6.2 |
| 50 and older | 37 | 7.5 |
| Gender (n=496) | ||
| Male | 414 | 83.5 |
| Female | 82 | 16.5 |
| Education level (n=495) | ||
| None | 153 | 30.9 |
| Primary | 138 | 27.9 |
| Secondary and higher | 204 | 41.2 |
| Profession (n=496) | ||
| Merchant/farmer/fisherman | 168 | 33.9 |
| Public or private professional | 54 | 10.9 |
| Driver/truck driver/taxi driver | 43 | 8.7 |
| Military serviceman/police officer | 7 | 1.4 |
| Artisan/artist | 193 | 38.9 |
| Other | 31 | 6.2 |
Distribution of surveyed prisoners by religious affiliation, nationality, marital status and length of incarceration.
| Variables | Surveyed inmates | |
|---|---|---|
| No | % | |
| Religion (n=496) | ||
| No religion | 19 | 3.8 |
| Traditional | 42 | 8.5 |
| Christian | 333 | 67.1 |
| Muslim | 96 | 19.4 |
| Other | 6 | 1.2 |
| Country of citizenship (n=496) | ||
| Benin | 436 | 87.9 |
| Ghana | 7 | 1.4 |
| Togo | 22 | 4.4 |
| Niger | 20 | 4.1 |
| Other | 11 | 2.2 |
| Marital status (n=496) | ||
| Unmarried (no partner) | 125 | 25.2 |
| Unmarried (one or multiple partners) | 72 | 14.5 |
| Married (monogamous/polygamous relationship) | 269 | 54.3 |
| Divorced/Widow | 21 | 4.2 |
| Other | 9 | 1.8 |
| Length of incarceration (n=395) | ||
| 0-6 months | 139 | 35.2 |
| 7-12 months | 61 | 15.4 |
| 13-24 months | 63 | 15.9 |
| 25-36 months | 33 | 8.4 |
| 37 months and more | 99 | 25.1 |
Figure 1.Awareness about the modes of HIV/AIDS transmission.
Figure 2.Access to health information in prison regarding HIV/AIDS and sexually transmitted diseases.
Misconceptions about HIV/AIDS.
| Questions | Respondent’s answer | Respondents | % | 95% CI |
|---|---|---|---|---|
| Can a person get HIV through mosquito bites? | Yes | 196 | 35.9 | 35.4-36.4 |
| Can a person get HIV by sharing food with an infected individual? | Yes | 102 | 20.6 | 19.8-21.4 |
| Can a person who appears healthy in fact be infected with HIV? | No | 82 | 16.5 | 15.6-17.4 |
Access to care and prevention methods for inmates.
| Characteristics (n=496) | Inmates | |
|---|---|---|
| No | % | |
| Inmate knows of an HIV screening clinic | ||
| Yes | 368 | 74.2 |
| No | 128 | 25.8 |
| Inmate knows about HIV treatments | ||
| Yes | 295 | 59.5 |
| No | 201 | 40.5 |
| Inmate knows partner’s serological status (married) | ||
| Yes | 230 | 46.4 |
| No | 266 | 53.6 |
Number of inmates wiling to undergo HIV screening.
| Prison site | Screening conducted | Number | |
|---|---|---|---|
| Yes | No | ||
| Abomey | 100.0 | 0 | 72 |
| Abomey-Calavi | 100.0 | 0 | 38 |
| Akpro-Missérété | 100.0 | 0 | 53 |
| Cotonou | 100.0 | 0 | 136 |
| Kandi | 100.0 | 0 | 23 |
| Lokossa | 100.0 | 0 | 33 |
| Natitingou | 97.0 | 2.9 | 34 |
| Ouidah | 100.0 | 0 | 24 |
| Parakou | 97.1 | 2.9 | 35 |
| Porto-Novo | 100.0 | 0 | 48 |
| Total | 99.6 | 0.4 | 496 |
Analysis of factors associated with HIV prevalence among inmates.
| Variables | HIV infection | P-value | |
|---|---|---|---|
| Positive | Negative | ||
| Under 29 years of age | 34.6 | 28.6 | 0.74 |
| 30 years of age and older | 38.9 | 57.1 | 0.32 |
| Gender = male | 83.5 | 42.9 | 0.00 |
| Primary or secondary school attendance | 30.7 | 42.9 | 0.49 |
| Religious affiliation = Christian | 67.6 | 57.1 | 0.55 |
| Nationality = Benin | 88.7 | 71.4 | 0.15 |
| Inmate knows at least one HIV transmission mode | 84.9 | 71.4 | 0.32 |
| Marital status = married | 54.1 | 71.4 | 0.36 |
| Prison sentence is greater than 1 year | 51.3 | 14.3 | 3, |