| Literature DB >> 24238493 |
Robert S Remis1, Juan Liu, Mona Loutfy, Wangari Tharao, Anuradha Rebbapragada, Stephen J Perusini, Lisungu Chieza, Megan Saunders, LoriAnn Green-Walker, Rupert Kaul.
Abstract
BACKGROUND: HIV disproportionately affects African-Caribbean women in Canada but the frequency and distribution of sexually transmitted infections in this community have not been previously studied.Entities:
Mesh:
Year: 2013 PMID: 24238493 PMCID: PMC3835625 DOI: 10.1186/1471-2334-13-550
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic characteristics among HIV-positive and HIV-negative African-Caribbean women in Toronto
| Total participants | 126 | 291 | |
| Age (years) | |||
| Mean | 40.3 | 33.9 | <0.0001a |
| Median (IQR) | 40 (34-46) | 31 (24-42) | |
| 15-24 | 2 (1.6%) | 78 (26.8%) | |
| 25-34 | 30 (23.8%) | 96 (33.0%) | |
| 35-44 | 58 (46.0%) | 59 (20.3%) | |
| 45+ | 36 (28.6%) | 58 (19.9%) | |
| Education | |||
| No education | 4 (3.2%) | 7 (2.4%) | NS |
| Some/completed elementary school | 11 (8.8%) | 31 (10.7%) | |
| Some/completed secondary school | 46 (36.8%) | 118 (40.8%) | |
| Some/completed college/university | 61 (48.8%) | 119 (41.2%) | |
| Some/completed graduate education | 3 (2.4%) | 14 (4.8%) | |
| Marital status | |||
| Married/common-low | 22 (18.0%) | 72 (25.4%) | <0.0001 |
| Separated/divorced/widowed | 57 (46.7%) | 49 (17.3%) | |
| Single | 43 (35.2%) | 163 (57.4%) | |
| Annual household income | |||
| Less $10,000 | 38 (35.2%) | 102 (55.1%) | <0.0001 |
| $10,000 - $19,999 | 37 (34.3%) | 29 (15.7%) | |
| $20,000 - $49,999 | 30 (27.8%) | 34 (18.4%) | |
| $50,000 or more | 3 (2.8%) | 20 (10.8%) | |
| Language spoken | |||
| N | 118 | 278 | |
| English | 103 (87.3%) | 252 (90.3%) | NS |
| French | 15 (12.7%) | 32 (11.5%) | NS |
| Spanish | 0 (0.0%) | 3 (1.1%) | NS |
| Other | 44 (37.3%) | 49 (17.6%) | <0.0001 |
| Region of birth | |||
| Africa | 102 (81.0%) | 106 (36.4%) | <0.0001b |
| Caribbean | 21 (16.7%) | 131 (45.0%) | |
| Canada | 2 (1.6%) | 50 (17.2%) | |
| Other | 1 (0.8%) | 4 (1.4%) | |
| Immigration status at first arrival in Canada | |||
| Landed/permanent resident | 25 (20.7%) | 58 (25.1%) | 0.0008b |
| Refugee claimant | 72 (59.5%) | 84 (36.4%) | |
| Temporary worker | 1 (0.8%) | 3 (1.3%) | |
| Visitor | 17 (14.0%) | 71 (30.7%) | |
| Student | 2 (1.7%) | 6 (2.6%) | |
| Non-status | 4 (3.3%) | 9 (3.9%) | |
aWilcoxon Rank Sum Test.
bFisher’s Exact Test.
Prevalence of bacterial and viral pathogens among HIV-positive and HIV-negative African-Caribbean women in Toronto
| | |||||||
|---|---|---|---|---|---|---|---|
| Chlamydia | 123 | 0 | 0.0% (0.0-2.9% | 286 | 11 | 3.8% (1.9-6.8%) | 0.039b |
| Gonorrhea | 124 | 0 | 0.0% (0.0-2.9%) | 285 | 0 | 0.0% (0.0-1.3%) | NS |
| Syphilis | 126 | 1 | 0.79% (0.02-4.3%) | 291 | 1 | 0.34% (0.01-1.9%) | NS |
| Bacterial vaginosis | 123 | 19 | 15.4% (9.6-23.1%) | 283 | 49 | 17.3% (13.1-22.2%) | NS |
| Abnormal vaginal flora | 123 | 42 | 34.1% (25.8-43.2%) | 283 | 84 | 29.7% (24.4-35.4%) | NS |
| 124 | 9 | 7.3% (3.4-13.3%) | 286 | 13 | 4.5% (2.4-7.6%) | NS | |
| Yeast | 123 | 9 | 7.3% (3.3-13.4%) | 283 | 19 | 6.7% (4.1-10.3%) | NS |
| HSV-1 | 123 | 111 | 90.2% (83.6-94.6%) | 290 | 254 | 87.6% (83.2-91.2%) | NS |
| HSV-2 | 124 | 107 | 86.3% (79.0-91.8%) | 290 | 135 | 46.6% (40.7-52.5%) | <0.0001 |
| Cytomegalovirus | 126 | 125 | 99.2% (95.7-100%) | 291 | 274 | 94.2% (90.8-96.6%) | 0.018 |
| High risk HPV, vaginal | 124 | 60 | 48.4% (39.3-57.5% | 283 | 49 | 17.3% (12.9-21.7% | <0.0001 |
| HCV | 126 | 5 | 4.0% (1.3-9.0%) | 290 | 4 | 1.4% (0.38-3.5%) | NS |
| HBV infectedc | 126 | 6 | 4.8% (1.8-10.1%) | 291 | 1 | 0.34% (0.01-1.9%) | 0.004b |
| HBV everd | 126 | 60 | 47.6% (38.7-56.7%) | 283 | 60 | 21.2% (16.6-26.4%) | <0.0001 |
| HBV vaccination | 109 | 72 | 66.1% (56.4-74.9%) | 248 | 109 | 44.0% (37.7-50.4%) | 0.0001 |
a95% exact binomial confidence interval.
bFisher’s Exact Test.
cInfected with HBV: HBsAg, with or without other HBV markers.
dEver infected with HBV: HBsAg, anti-HBc, or anti-HBs if not vaccinated for HBV.
Prevalence of chlamydia and predicting factors among HIV-positive and HIV-negative African-Caribbean women in Toronto
| | ||||||
|---|---|---|---|---|---|---|
| | 123 | 0.0% | 286 | 3.8% | 409 | 2.7% |
| Age (years) | ||||||
| 15-24 | 2 | 0.0% | 75 | 10.7% | 77 | 10.4% |
| ≥ 25 | 121 | 0.0% | 211 | 1.4% | 332 | 0.90% |
| p value | | | | 0.0013a | | <0.0001a |
| CMHb controlling for HIV status: p value | 0.0014 | |||||
| Had sex in previous 6 months | ||||||
| Yes | 58 | 0.0% | 163 | 5.5% | 221 | 4.1% |
| No | 62 | 0.0% | 100 | 0.0% | 162 | 0.0% |
| p value | | | | 0.015a | | 0.012a |
| CMH controlling for HIV status: p value | 0.017 | |||||
| Region of birth | ||||||
| Canada | 2 | 0.0% | 48 | 8.3% | 50 | 8.0% |
| Caribbean | 20 | 0.0% | 129 | 4.7% | 149 | 4.0% |
| Africa | 100 | 0.0% | 105 | 1.0% | 205 | 0.5% |
| Other | 1 | 0.0% | 4 | 0.0% | 5 | 0.0% |
| p value | | | | 0.13a | | 0.012a |
| CMH controlling for HIV status: p value | 0.15 | |||||
aFisher’s Exact Test.
bCochran-Mantel-Haenzel test.
Correlates of chlamydial infection, univariate and multivariate
| HIV status | |||||
| HIV-positive | 0 | 120 | 0.0% | 0.062 | 0.25 |
| HIV-negative | 9 | 254 | 3.4% | | |
| Age (years) | |||||
| 15-24 | 6 | 69 | 8.0% | 0.002 | 0.059 |
| ≥ 25 | 3 | 305 | 0.97% | | |
| Had sex in previous 6 months | |||||
| Yes | 9 | 212 | 4.1% | 0.012 | 0.024 |
| No | 0 | 162 | 0.0% | | |
| Region of birth | |||||
| Canada | 4 | 45 | 8.2% | 0.018 | 0.48 |
| Caribbean | 4 | 132 | 2.9% | | |
| Africa | 1 | 192 | 0.52% | | |
| Other | 0 | 5 | 0.0% | ||
aAmong 383 participants with all data for the variables above.
bFisher’s Exact Test.
cCochran-Mantel-Haenszel controlling other variables in the table.