| Literature DB >> 30373535 |
Komal Chacowry Pala1, Stéphanie Baggio2, Nguyen Toan Tran1,3, François Girardin4, Hans Wolff1, Laurent Gétaz1,5.
Abstract
BACKGROUND: Incarcerated people carry a high burden of infection, including blood-borne diseases (BBDs). It is also known that one million people contract a sexually transmitted infection (STI) every day worldwide, which represents a global public health challenge. However, data regarding the prevalence of STIs and the risk factors among incarcerated populations are lacking. The objective of this study was to determine the prevalence and associated factors of BBDs and STIs among detainees in the largest pre-trial prison in Switzerland.Entities:
Keywords: Epidemiology; HIV; Hepatitis C; Herpesvirus 2, human; Prison; Syphilis
Mesh:
Year: 2018 PMID: 30373535 PMCID: PMC6206665 DOI: 10.1186/s12879-018-3445-6
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Socio-demographic characteristics
| Variable | N (%) | 2009 | 2011 | ||
|---|---|---|---|---|---|
| Sex (male) | 273 (100) | 116 (100) | 157 (100) | – | |
| Region of originb | |||||
| Central and Eastern Europe | 104 (38.1) | 41 (35.3) | 63 (40.1) |
| |
| Sub-Saharan Africa | 77 (28.2) | 37 (31.9) | 40 (25.5) | ||
| North Africa | 39 (14.3) | 26 (22.4) | 13 (8.3) | ||
| Latin America | 26 (9.5) | 3 (2.6) | 23 (14.6) | ||
| Western Europe | 25 (9.2) | 8 (6.9) | 17 (10.8) | ||
| Asia | 2 (0.7) | 1 (0.9) | 1 (0.6) | ||
| Age | |||||
| < 28 years | 131 (48.0) | 63 (54.3) | 68 (43.3) | .072 | |
| ≥ 28 years | 142 (52.0) | 53 (45.7) | 89 (56.7) | ||
| Education level (8 missing values) | |||||
| Secondary school not completed | 74 (27.9) | 78 (69.0) | 113 (74.3) | .340 | |
| Secondary school completed | 191 (72.1) | 35 (31.0) | 39 (25.7) | ||
| Self-reported socioeconomic status (8 missing values) | |||||
| Low | 43 (16.2) | 101 (87.1) | 121 (79.6) |
| |
| Intermediate or high | 222 (81.3) | 12 (10.3) | 31 (20.4) | ||
aChi-square tests or Fisher exact tests. Significant p-values are highlighted in bold
bCountries of origin: Central and Eastern Europe: Albania (n = 44), Byelorussia (n = 3), Bosnia (n = 2), Georgia (n = 9), Israel (n = 1), Kosovo (n = 24), Lithuania (n = 1), Macedonia (n = 5), Romania (n = 6), Russia (n = 3), Serbia (n = 5), Slovakia (n = 1); Sub Saharan Africa: Angola (n = 4), Benin (n = 1), Cameroun (n = 2), Cap Verde (n = 1), Congo (n = 1), Eritrea (n = 2), Gambia (n = 1), Ghana (n = 3), Guinea (n = 7), Guinea Bissau (n = 2), Guinea Conakry (n = 20), Ivory Coast (n = 6), Liberia (n = 1), Mali (n = 3), Nigeria (n = 12), Senegal (n = 1), Sierra Leone (n = 5), Soudan (n = 1), Tanzania (n = 1), Togo (n = 2), Zimbabwe (n = 1); North Africa: Algeria (n = 15), Egypt (n = 1), Iraq (n = 2), Libya (n = 3), Morocco (n = 10), Palestine (n = 5), Tunisia (n = 3); Latin America: Brazil (n = 4), Bolivia (n = 1), Chili (n = 1), Colombia (n = 6), Dominican Republic (n = 12), Equateur (n = 1), Paraguay (n = 1); Western Europe: Belgium (n = 1), Germany (n = 1), Greece (n = 1), Italia (n = 2), France (n = 8), Portugal (n = 1), Spain (n = 1), Switzerland (n = 9), UK (n = 1); Asia: China (n = 1), India (n = 1)
Serological prevalence of HIV, HCV, syphilis and HSV-2
| n | % (95% CI) | 2009 | 2011 | ||
|---|---|---|---|---|---|
| HIV (Ag/Ab Combo+ & Inno-Lia+) | 1/270 | 0/115 (0%) | 1/155 (0.7%) | 1 | |
| Syphilis (ELISA+ & TPHA+ & RPR+) | 3/271 | 2/114 (1.8%) | 2/157 (1.3%) | 1 | |
| HSV-2 (ELISA HSV-2+) | 35/156 | – | 35/156 (22.4%) | – | |
| HCV (EIA+ & Inno-Lia+) | 17/273 | 8/116 (6.9%) | 9/157 (5.7%) | .694 |
95% CI: 95% confidence interval
aChi-square tests or Fisher exact tests. Significant p-values are highlighted in bold
Bivariate and multivariate analyses of HCV and HSV-2 according to sociodemographic and sexual health factors
| HCV | HSV-2 | ||||||
|---|---|---|---|---|---|---|---|
| Variable c | |||||||
| V-Cramer | OR | V-Cramer | ORd | ||||
| Region of origin | |||||||
| European countries | 14/129 ( |
| 12/79 ( |
| |||
| Other regions | 3/144 ( | 0.181 | 23/77 ( | 0.176 | |||
| Age | |||||||
| < 28 years | 5/131 (3.8%) | .113a | 10/67 (14.9%) | .051a |
| ||
| ≥ 28 years | 12/142 (8.5%) | – | 25/89 (28.1%) | 0.156 | 2.63 | ||
| Education level | |||||||
| Secondary school not completed | 1/74 ( |
| 15/39 ( |
|
| ||
| Secondary school completed | 16/191 ( | 0.129 | 20,112 ( | 0.214 | 3.21 | ||
| Condom use for sexual protection | |||||||
| Always | 3/87 (3.5%) | .165a | 16/63 (25.4%) | .585a | |||
| Sometimes or never | 14/177 (7.9%) | – | 19/88 (21.6%) | – | |||
| Sexual intercourse with sex workers | |||||||
| Never | 4/125 ( |
| 13/65 (20%) | .421a | |||
| At least once | 13/140 ( | 0.124 | 22/86 (25.6%) | – | |||
| Sexual orientation | |||||||
| Homosexual/bisexual | 1/6 (16.7%) | .662b | 0/3 (0%) | .999b | |||
| Heterosexual | 16/259 (6.2%) | – | 35/148 (23.6%) | – | |||
| Number of sexual partners | |||||||
| 0 to 5 | 3/71 (4.2%) | .369a | 8/44 (18.2%) | .450a | |||
| 6 or more | 14/192 (7.3%) | – | 25/105 (23.8%) | – | |||
| Injection drug use | |||||||
| Yes | 13/16 ( |
|
| 0/7 (0%) | .138a | ||
| No | 4/253 ( | 0.774 | 227.00 | 35/145 (24.1%) | – | ||
| History of genital ulcers | |||||||
| Yes | 2/28 (7.1%) | .695b | 7/15 ( |
| |||
| No | 15/239 (6.3%) | – | 28/138 ( | 0.187 | |||
95% CI: 95% confidence interval, OR: odd-ratio
aChi square tests and b Fisher exact tests were performed with Cramers’ V as effect size
cNo statistically significant association between HCV or HSV-2 and socio-economic status, condom use, same-sex sexual activities, and number of sexual partners lifetime (p > .05). No inferential statistics were performed on HIV and syphilis because of the low prevalence rate of infected people living in detention
Significant p-values and associated prevalence rates are highlighted in bold
dMultiple logistic stepwise regressions with HCV and HSV-2 as dependent variables were performed. p-values of Wald chi-square and odd-ratio with the second category of each variable being the reference category are reported