|
This
paper was published in the International Journal of Epidemiology
2001 (30:1449-1454).
Sex trade involvement and rates of human immunodeficiency
virus positivity among
young gay and bisexual men
Amy E. Webera,
Kevin JP Craiba, Keith Chana, Steve Martindalea,
Mary Lou Millera, Martin T. Schechtera,b,
Robert S. Hogga,b
a British Columbia Centre
for Excellence in HIV/AIDS, St. Paul's Hospital;
b Department of Health Care and Epidemiology
University of British Columbia, Vancouver, Canada.
ABSTRACT:
Background:
Susceptibility to HIV infection is of particular concern for
marginalised populations. The objective of this study was to
determine risk factors associated with sex trade work among young
gay and bisexual men. Further, we aimed to compare HIV prevalence
and incidence among men involved and not involved in sex trade
work.
Methods: The
study is based upon data obtained from a prospective cohort study
of young gay and bisexual men. Participants had completed a baseline
questionnaire which elicited information on demographic information,
sexual behaviours, and substance use. Sex trade involvement was
defined as the exchange of money, drugs, goods, clothing, shelter
or protection for sex within the one year prior to enrolment.
Contingency table and multivariate logistic regression analyses
were used to identify risk factors associated with involvement
in the sex trade.
Results: Of
the 761 eligible participants, 126 (16%) reported involvement
in sex trade work. Multivariate logistic regression analysis
revealed regular alcohol use (Odds Ratio (OR): 3.6 95% Confidence
Interval (CI): 1.8-7.2), aboriginal ethnicity (OR: 3.7 95%CI:
1.6-8.7), unemployment (OR: 3.9 95%CI: 2.1-7.3), history of residence
in a psychiatric ward (OR: 4.2 95%CI: 1.8-9.8), bisexual activity
(OR: 7.0 95%CI: 3.5-14.1) and the use of crack (OR: 7.4 95%CI:
3.0-18.7) to be independently associated with sex trade work.
Sex trade workers had a significantly higher HIV prevalence at
baseline compared with non-sex trade workers (7.3% vs. 1.1% P
< 0.001). As well, HIV incidence was found to be significantly
higher for sex trade workers compared with non-sex trade workers
(4.7% vs. 0.9%, P = 0.011).
Conclusion:
Our study reveals that for male sex trade workers in this setting
increased vulnerability to HIV infection is related to unfavourable
living conditions, substance use and sexual risk behaviour.
Key words: homosexual
men, sex trade worker, risk factors, sexual behaviour, housing
Accepted: 22
February 2001
In Canada, gay and bisexual men have been seriously affected
by the HIV/AIDS epidemic. In 1985, 83% of all reported AIDS cases
among adult males occurred in this population. By 1995, the percentage
of reported cases in this category had decreased to 74%.[1]
Despite a reduction in the overall proportion of men infected
with HIV, gay and bisexual men continue to be greatly affected
by the HIV/AIDS epidemic. In the United States gay and bisexual
men accounted for 50% of AIDS cases and 43% of non-AIDS cases
in 1996.[2]
Sexual transmission among gay and bisexual men continues to
be a major source of new HIV infections in Canada. As is true
for other populations, subgroups of men who have sex with men
may be at increased risk for HIV infection. Also, they may be
less likely to be reached by prevention messages aimed at the
broader gay and bisexual community.[3]
These vulnerable subgroups include men who inject drugs, trade
sex for money or drugs and those men who do not self-identify
as gay or bisexual.
It is important to identify whether men who engage in the sex
trade are a demographically and behaviourally distinct subgroup
of gay and bisexual men in order to develop better and more focused
intervention programs. This analysis aimed to determine risk factors
associated with involvement in sex work among young gay and bisexual
men in order to have a better profile their lives. Further, as
men involved in sex work have been identified as being at increased
risk of HIV infection we compared HIV prevalence and incidence
for men involved and not involved in prostitution.
METHODS
The Vanguard Project is an ongoing prospective study of over
900 gay and bisexual men in the Greater Vancouver region. Men
were eligible to participate if they were aged 18 to 30 years,
lived in the Greater Vancouver region, had not previously tested
HIV-positive, and self-identified as gay or bisexual or reported
having sex with other men. Potential participants were recruited
through community outreach at gay community events, community
health clinics or local physicians, and through the gay and mainstream
media.
Study instrument
Since May 1995, participants completed a detailed self-administered
questionnaire and provided a blood sample for HIV antibody testing
at baseline and annually thereafter. Completed baseline questionnaires
provide demographic data as well as information regarding sexual behaviours. Included are aspects of insertive and receptive anal
and oral sex with regular partners (men with whom you have sex
at least once per month), casual partners (men with whom you have
sex less than once per month) and paid partners (sex exchanged
for money, drugs, goods, clothing, shelter or protection). Participants
are also asked whether they have ever been forced to have sex
(any type of sexual activity that you were forced or coerced into
against your will), and the age range when this first occurred.
Participants completed a 7 item abbreviated version of the Centres
for Epidemiologic Studies of Depression (CES-D) scale. Participants
were classified as being clinically depressed if their score on
the abbreviated CES-D scale was greater than the median value
for the cohort. Additionally, participants answered questions
about their use of legal and illegal recreational drugs including
alcohol, tobacco, nitrite inhalants (poppers), marijuana, cocaine
and heroin. Baseline questionnaires were used to assess these
characteristics.
Statistical analysis
The analysis presented here is limited to those individuals
who had completed a baseline questionnaire and HIV test between
May 1995 and January 1999. As noted above sex trade involvement
was defined as the exchange of money, drugs, goods, clothing,
shelter or protection for sex. It is important to note that for
the purposes of this analysis any man who reported sex trade involvement
in the year prior to baseline were included. In order to assess
risk factors associated with involvement in the sex trade, we
conducted cross-sectional comparative analyses.
Variables of interest in these comparative analyses included:
socio-demographic characteristics such as age, ethnicity, income,
housing status and education; sexual behaviour variables including
the frequency of receptive and insertive anal intercourse with
regular and casual partners; and the frequency of condom use during
receptive and insertive anal intercourse. The use of alcohol and
other drugs was also assessed. For the purpose of this analysis
unstable housing was defined as living in a hotel, boarding house,
group home, in the street or having no fixed address.
HIV prevalence and incidence calculations were also compared
for the two groups. HIV incidence was calculated as the number
of new infections divided by the total person-time under observation.
Person-time was calculated as the interval between enrolment and
the most recent follow-up visit for subjects who did not seroconvert
through January 1999. For subjects who became HIV positive, person-time
was calculated as the interval between enrolment and the first
visit at which an HIV positive test result was detected. Ninety-five
percent confidence intervals for the incidence estimates were
calculated based on the Poisson distribution.
Categorical variables were compared between groups using Pearson's
chi-squared test. Contingency tables that contained one or more
expected counts of less than five were analysed by the Fisher's
exact test. Comparisons of continuous variables were carried out
using Wilcoxon's rank-sum test. All variables that were found
to be significant at P <0.05 in the univariate
analyses were entered into a stepwise multivariate logistic regression
model that was used to identify independent risk factors associated
with involvement in the sex trade. Participants with missing data
for variables entered into the multivariate model were excluded
from the analysis. All reported p-values are two-sided.
RESULTS
Of the 761 eligible participants, 126 (16%) reported that they
were involved in sex work. Comparison of sex trade workers versus
non-sex trade workers revealed significant differences with respect
to socio-demographic characteristics (Table
1). Sex trade workers were younger (median: 23 years vs.
26 years P < 0.001), more likely to be Aboriginal (29%
vs. 6% P = 0.001), and to have less than a high school
education (40% vs. 12% P < 0.001). Sex trade workers
were more likely to report living in unstable housing (45% vs.
4% P < 0.001), to have an annual income of less than
$10,000 (58% vs. 26% P < 0.001), and to have ever been
in a psychiatric ward (32% vs. 6% P < 0.001). Further,
sex trade workers were found to have a high depression score (82%
vs. 50% P < 0.001) and to have ever been in jail (54%
vs. 6% P < 0.001) compared with non sex trade workers.
Table
2 outlines differences in reported sexual behaviours of
sex trade workers and non-sex trade workers. Sex trade workers
reported a younger median age at first consensual sex with both
men (15 years vs. 18 years P < 0.001) and women (14
years vs. 17 years P < 0.001). Sex trade workers were
found to be significantly more likely to report bisexual activity
(48% vs. 8% P < 0.001), and to having ever experienced
non-consensual sex (49% vs. 32% P < 0.001) compared
with those men not involved in the sex trade.
With respect to sexual encounters with regular and casual partners,
a lower proportion of sex trade workers reported unprotected insertive
(50% vs. 75% P < 0.001) and receptive (53% vs. 75% P
< 0.001) oral sex with regular partners. There were no statistical
differences in the proportion of persons reporting unprotected
anal intercourse with regular partners or unprotected oral sex
with casual partners. However, higher levels of unprotected insertive
(28% vs. 15% P = 0.002) and receptive (20% vs. 13% P
= 0.042) anal sex were reported with casual partners for sex trade
workers compared with non-sex trade workers (Table
3).
Substance use was also found to be higher among the sex trade
workers compared with non-sex trade workers (Table
4). Compared with non-sex trade workers, sex trade workers
were more likely to consume greater than ten drinks per week (39%
vs. 13%). As well, a higher proportion of sex trade workers reported
the use of poppers (43% vs. 28%), cocaine (63% vs. 25%), crack
(38% vs. 4%), and heroin (30% vs. 3%) compared with non-sex trade
workers (all P < 0.001). Sex trade workers were also
more likely to report having injected drugs in the year prior
to baseline compared to non-sex trade workers (32% vs. 4% P
< 0.001).
The results of the logistic regression analysis of independent
factors associated with involvement in the sex trade are summarised
in Table
5. The regular use of alcohol characterised by having
greater than 10 drinks per week was associated with a 3.6 fold
increase in the likelihood of being involved in sex trade work.
Further independent risk factors for involvement in sex trade
work were aboriginal ethnicity (Odds Ratio (OR): 3.7), being unemployed
(OR: 3.9), having ever been in a psychiatric ward (OR: 4.2), engaging
in sexual relations with both men and women (OR: 7.0) and using
crack (OR: 7.4).
Sex trade workers had a significantly higher HIV prevalence
at baseline compared with non-sex trade workers (7.3% vs. 1.1%
P < 0.001). As well, the HIV incidence rate was found
to be significantly higher for sex trade workers 4.7/100 person
years (pyrs) (95% Confidence Interval: 0.1/100 pyrs - 9.4/100 pyrs) compared with non-sex trade workers 0.9/100 person years
(95% Confidence Interval: 0.3/100 pyrs - 1.5/100 pyrs) (P
= 0.011).
DISCUSSION
Comparison of male sex trade workers and other young gay and
bisexual men revealed many important differences with respect
to risk factors associated with sex work. Sex trade workers were
more likely to be marginalised as characterised by their younger
age, low levels of education, unstable housing and low annual
incomes. Aboriginal status was found to be independently associated
with sex work. Although the proportion of aboriginal men in our
study who were involved in prostitution (20%) was much lower than
that recently reported for youth in Canada,[4]
Aboriginal men are over-represented in the sex trade worker population.
To date there is little research of male sex trade workers from
different ethnic backgrounds. However, Aboriginal men have been
found to make up a significant proportion of men involved in prostitution,
street youth and injection drug users.[5,6]
Further evidence of the marginalised status of these men include
the higher proportion of sex trade workers reporting having ever
been in a psychiatric ward, having a high depression score and
having ever been incarcerated. Unemployment and a history of residence
in a psychiatric ward were found to be independently associated
with sex work. These differences are consistent with other studies
that have shown sex trade workers to be living in impoverished
conditions confounded by mental illness and substance use. [7-9]
Sex trade workers may be at increased risk of infection with
HIV due in part to their sexual and drug using behaviours. Men
involved in sex work were on average younger age at first consensual
sex with both males and females compared with non-sex trade workers.
This finding corroborates earlier work by Earls and David[10]
that indicated that male prostitutes were significantly younger
than the comparison group in terms of the age at first sexual
interaction. Younger age at first coitus has been linked to risky
sexual behaviour including multiple sexual partners.[11]
Sex trade workers in our study were found to have lower rates
of unprotected oral sex with regular male partners and higher
rates of unprotected anal sex with casual male partners. The latter
finding may contribute to the significantly higher HIV prevalence
and incidence rates found for sex trade workers compared with
non-sex trade workers. Reporting of a history of non-consensual
sex was higher for sex trade workers compared with the rest of
the cohort. These data are consistent with other studies showing
a relationship between non-consensual sex and involvement in the
sex trade.[10,12-14]
Bisexual activity was found to be independently associated with
sex trade involvement. Previous research has suggested that men
may self-identify as heterosexual and report female sex partners
but engaged in sexual activity with other men for profit.[15-17]
A number of studies have suggested that male sex trade workers
are a potential link between homosexual and heterosexual transmission
of HIV.[18,19]
The danger of HIV infection spreading through homosexual prostitution
is very real, but the actual risk depends to a great extent on
which sexual practices and precautionary measures are followed.[8]
Prostitution is an economic necessity for many drug users,
both male and female.[20]
Our results indicate that a significantly higher proportion of
sex trade workers used both non-injection and injection drugs
compared with the rest of the cohort. The proportion of sex trade
workers reporting the use of poppers, cocaine, crack and heroin
was significantly higher than other gay and bisexual men in this
study. Persons who use injection drugs are at particular risk
for HIV infection because they may be exposed to the virus through
both unprotected sex and the sharing of injection equipment.[21,22]
de Graff et al.[8]
reported that heavily addicted drug users were less discriminating
in their choice of clients, and lowered their barriers more easily
when it came to performing sexual acts without using condoms.
Substance use characterised by the consumption of greater than
10 drinks per week and the use of crack was found to be independently
associated with sex work. The relationship between substance use
and sex work is complex. Studies have shown that in some cases
substance use precedes entry into prostitution while in others,
sex work is used as a means to earn money to buy drugs.[10,23]
Regardless of the temporal relationship, it is important to recognise
the relationship and acknowledge the importance of drug treatment
for these men. The use of crack is of further concern because
crack use has been linked with sexual behaviours as inconsistent
condom use and multiple partners that may increase an individual's
risk of infection with HIV.[24-27]
The prevalence of HIV for male sex trade workers was significantly
higher than for other gay and bisexual men in this study. However,
the prevalence is four-fold lower than the rates reported for
male prostitutes in Atlanta, USA.[28]
The independent risk factors for sex trade involvement highlighted
in this study may contribute to increased risk of HIV infection.
Minority status and marginalisation have been linked with increased
HIV prevalence.[6,7,29]
Involvement in bisexual activity may increase the risk of HIV
infection due to the relationship between bisexual activity and
involvement in sex work.[15]
Substance use has been linked with risk of HIV infection because
the consumption of alcohol and drugs may interfere with judgement
and decision-making thereby potentially increasing unsafe sexual
behaviour.[30]
As is the case with many population-based studies, this is
a sample of convenience. Prostitution is a highly heterogeneous
activity, with sex being sold in saunas, bars, clubs, public toilets,
through escort agencies and contact advertisements, as well as
on the street.[31]
The sex trade workers involved in our study as self-identified
and were not asked the location from which they sell sex, it is
difficult to say whether we have adequately represented the male
sex worker population in Vancouver. As well, the definition of
sex work used in this study is very broad and this must be taken
into account when interpreting the results. The issue of temporality
must be taken into consideration in the interpretation of the
multivariate analysis. It is important to note that we have not
examined causation in the analysis. Therefore it is not possible
for us to determine whether the associated factors have a predictive
or causative effect.
In summary, risk factors for involvement in the sex trade were
belonging to a minority, marginalisation characterised by unemployment
and mental illness. Further, this study demonstrates that men
involved in the sex trade are engaging in high-risk behaviours
and their relatively high prevalence of HIV put these men and
their sexual partners at an increased risk of transmission of
HIV. This study highlights the need for personalised prevention
messages in conjunction with intensified realistic and acceptable
HIV prevention and intervention efforts.
Table 1: [back
to text]
Reported socio-demographic characteristics of male sex trade workers
and non-sex trade workers
|
Sex trade workers (n=125) |
Non sex trade workers
(n=636) |
P-value |
| Age |
| Median |
23 years |
26 years |
< 0.001 |
| Interquartile Range |
21-26 years |
23-28 years |
| Ethnicity |
| Caucasian |
72 (58%) |
468 (74%) |
0.001 |
| Aboriginal |
36 (29%) |
36 (6%) |
| Other |
17 (13%) |
132 (20%) |
| Less than high school education |
| Yes |
48 (40%) |
72 (12%) |
< 0.001 |
| No |
71 (60%) |
554 (89%) |
| Unstable housing |
| Yes |
56 (45%) |
25 (4%) |
< 0.001 |
| No |
69 (55%) |
610 (96%) |
| Income < $10,000/year |
| Yes |
55 (58%) |
154 (26%) |
< 0.001 |
| No |
40 (42%) |
437 (74%) |
| Ever in psychiatric ward |
| Yes |
30 (32%) |
32 (6%) |
< 0.001 |
| No |
65 (68%) |
546 (94%) |
| High depression score (CES-D > 12) |
| Yes |
97 (82%) |
315 (50%) |
< 0.001 |
| No |
22 (19%) |
320 (50%) |
| Ever in jail |
| Yes |
58 (53%) |
37 (6%) |
< 0.001 |
| No |
49 (46%) |
546 (94%) |
| NB: Column totals may not equal
total number of subjects due to missing values. |
Table 2: [back
to text]
Reported sexual experiences of male sex workers and non-sex trade
workers.
|
Sex trade workers (n=125) |
Non sex trade workers
(n=636) |
P-value |
| Age at 1st Sexual Experience with: |
| Median |
23 years |
26 years |
< 0.001 |
| Interquartile
Range |
21-26 years |
23-28 years |
|
MEN |
n=119 |
n=617 |
|
|
Median |
15 years |
18 years |
< 0.001 |
|
Interquartile Range |
13-18 |
15-20 |
|
WOMEN |
n=94 |
n=340 |
|
|
Median |
14 years |
17 years |
< 0.001 |
|
Interquartile Range |
12-17 |
15-19 |
| Bisexual Activity In Previous Year |
|
Yes |
60 (48%) |
49 (8%) |
< 0.001 |
|
No |
64 (52%) |
578 (92%) |
| Non Consensual Sex (Ever) |
|
Yes |
61 (49%) |
197 (32%) |
< 0.001 |
|
No |
63 (51%) |
424 (68%) |
| NB: Column totals may not equal
total number of subjects due to missing values. |
Table 3: [back
to text]
Reported unprotected sexual behaviour with regular and casual
partners in the year prior to baseline for male sex trade workers
and non-sex trade workers
|
Sex trade workers |
Non sex trade workers |
P-value |
| Regular partners |
n=74 |
n=483 |
|
| Oral
insertive |
59 (50%) |
458 (75%) |
< 0.001 |
| Oral
receptive |
64 (53%) |
459 (75%) |
< 0.001 |
| Anal
insertive |
27 (23%) |
186 (31%) |
0.098 |
| Anal
receptive |
33 (28%) |
190 (31%) |
0.493 |
| Casual partners |
n=111 |
n=491 |
|
| Oral
insertive |
74 (71%) |
429 (72%) |
0.843 |
| Oral
receptive |
79 (75%) |
445 (76%) |
0.777 |
| Anal
insertive |
28 (28%) |
90 (16%) |
0.002 |
| Anal
receptive |
20 (20%) |
73 (13%) |
0.042 |
| NB: Column totals may not equal
total number of subjects due to missing values. |
Table 4: [back
to text]
Comparison of substance use in the year prior to baseline for
male sex trade workers and non-sex trade workers.
|
Sex trade workers (n=125) |
Non sex trade workers
(n=636) |
P-value |
| Greater than 10 drinks/week |
| Yes |
40 (39%) |
77 (13%) |
< 0.001 |
| No |
63 (61%) |
523 (87%) |
| Poppers |
| Yes |
52 (43%) |
171 (28%) |
< 0.001 |
| No |
70 (57%) |
448 (72%) |
| Cocaine |
| Yes |
78 (63%) |
156 (25%) |
< 0.001 |
| No |
45 (37%) |
467 (75%) |
| Crack |
| Yes |
46 (38%) |
23 (4%) |
< 0.001 |
| No |
75 (62%) |
595 (96%) |
| Heroin |
| Yes |
37 (30%) |
20 (3%) |
< 0.001 |
| No |
87 (70%) |
600 (97%) |
| Injected Drugs |
| Yes |
40 (32%) |
23 (4%) |
< 0.001 |
| No |
84 (68%) |
607 (96%) |
| NB: Column totals may not equal
total number of subjects due to missing values. |
Table 5: [back
to text]
Multivariate logistic regression model: Risk factors associated
with involvement in the sex trade (n=521)
|
Unadjusted
Odds Ratio |
95% CI |
Adjusted Odds
Ratio |
95% CI |
| Use of Alcohol (>10 vs.
<10 drinks/week) |
4.3 |
2.7-6.9 |
3.6 |
1.8-7.2 |
| Aboriginal Ethnicity (Aboriginal
vs. Other) |
6.7 |
4.0-11.3 |
3.7 |
1.6-8.7 |
| Unemployed (Yes vs. No) |
7.8 |
5.1-12.0 |
3.9 |
2.1-7.3 |
| Psychiatric Ward (Ever vs.
Never) |
7.9 |
4.5-13.8 |
4.2 |
1.8-9.8 |
| Bisexual Activity (Yes vs.
No) |
11.1 |
7.0-17.5 |
7.0 |
3.5-14.1 |
| Use of Crack (Yes vs. No) |
15.9 |
9.1-27.6 |
7.4 |
3.0-18.7 |
Acknowledgements
The authors are indebted the participants, physicians, nurses
and clinic staff of the Vanguard Project cohort and the Community
Advisory Committee of the Vanguard Project. Thank you to Peter
Vann for his administrative assistance.
REFERENCES
1
AIDS in Canada. Quarterly Surveillance Update. Division
of HIV/AIDS Surveillance Bureau of HIV/AIDS and STD Laboratory.
Centre for Disease Control Health Protection Branch, Health Canada,
1997.
[back
to text]
2
Centres for Disease Control and Prevention. HIV/AIDS Surveillance
Report 1997;8;10-30.
[back
to text]
3
Goldbaum G, Perdue T, Woliski R, et al. Differences
in risk behavior and sources of AIDS information among gay, bisexual,
and straight-identified men who have sex with men. AIDS and
Behaviour 1998;2:13-21.
[back
to text]
4
Save the Children Canada. More Aboriginal youth exploited
in the sex trade. Ottawa: 2000.
[back
to text]
5
deMatteo D, Major C, Block B, et al. Toronto street
youth and HIV/AIDS: Prevalence, demographics and risks. Journal
of Adolescent Health 1999;25:358-366.
[back
to text]
6
Rekart ML, Chan S, Barnett J, Lawrence C, Manzon L. HIV and
North American aboriginal peoples. International Conference on
AIDS, 1991 June 16-21;7(1):357 Abstract #M.C. 3237.
[back
to text]
7
Tynes LL, Sautter FJ, McDermott BE, Winstead DK. Risk of HIV
infection in the homeless and chronically mentally ill. Southern
Medical Journal 1993;86(3):276-81.
[back
to text]
8
de Graaf R, Vanwesenbeeck I, van Zessen G, Straver CJ, Visser JH. Male prostitutes and safe sex: different settings, different
risks. AIDS Care 1994;6(3):277-88.
[back
to text]
9 Simon PM, Morse EV, Osofsky HJ, Balson
PM, Gaumer HR. Psychological characteristics of a sample of male
street prostitutes. Archives of Sexual Behavior 1992;21:33-44.
[back
to text]
10
Earls CM, David H. A psychosocial study of male prostitution.
Archives of Sexual Behavior 1989;18:401-419.
[back
to text]
11
Greenberg J, Magder L, Aral S. Age at first coitus: A marker
for risky sexual behavior in women. Sexually Transmitted Diseases
1992;19:331-334.
[back
to text]
12
Strathdee SA, Hogg RS, Martindale SL, et al. Determinants
of sexual risk-taking among young HIV-negative gay and bisexual
men. Journal of Acquired Immune Deficiency Syndrome & Human
Retrovirology 1998;19:61-6.
[back
to text]
13 Bartholow BN, Doll LS, Joy D, et
al. Emotional behavioural and HIV risks associated with sexual
abuse among adult homosexual and bisexual men. Child Abuse
& Neglect 1994;18:747-61.
[back
to text]
14 Zierler S, Feingold L, Laufer D, Velentgras,
Kantrowitz-Gordon I, Mayer K. Adult survivors of childhood sexual
abuse and subsequent risk of HIV infection. American Journal
of Public Health 1991;81:572-75.
[back
to text]
15
Rietmeijer CA, Wolitski RJ, Fishbein M, Corby NH, Cohn DL.
Sex hustling, injection drug use, and non-gay identification by
men who have sex with men. Associations with high-risk sexual
behaviors and condom use. Sexually Transmitted Diseases
1998;25:353-60.
[back
to text]
16 Radford JL, King AJC, Warren WK. Street
youth and AIDS. Kingston: Social Program Evaluation Group
- Queen's University, 1989.
[back
to text]
17 Pleak R, Meyer-Bahlburg H. Sexual
behavior and AIDS knowledge of young male prostitutes in Manhattan.
Journal of Sex Research 1990;27:557-587.
[back
to text]
18
Boulton M, Hart G, Fitzpatrick R. The sexual behaviour of
bisexual men in relation to HIV transmission. AIDS Care
1992;4:165-75.
[back
to text]
19 Morse EV, Simon PM, Osofsky HJ, Balson
PM, Gaumer HR. The male street prostitute: a vector for transmission
of HIV infection into the heterosexual world. Social Science
& Medicine 1991;32(5):535-9.
[back
to text]
20
van den Hoek JAR, Coutinho RA, van Haastrecht HJA, A.W. van Zadelhoff, Goudsmit J. Prevalence and risk factors of HIV infections
among drug users and drug using prostitutes in Amsterdam. AIDS
1988;2:55-60.
[back
to text]
21
Lewis DK, Watters JK. Sexual behaviour and sexual identity
in male injection drug users. Journal of Acquired Immune Deficiency
Syndrome and Human Retrovirolgy 1994;7:190-198.
[back
to text]
22 Mandell W, Vlahov D, Latkin C, Oziemkowska
M, Cohn S. Correlates of needle sharing among injection drug users.
American Journal of Public Health 1994;84:902-923.
[back
to text]
23
Silbert MH, Pines AM, Lynch T. Substance abuse and prostitution.
Journal of Psychoactive Drugs 1982;14:193-197.
[back
to text]
24
Fullilove AE, Thompson Fullilove M, Bowser BP, Gross SA. Risk
of sexually transmitted disease among black adolescent crack users
in Oakland and San Francisco, California. Sexually Transmitted
Disease 1990;263:851-855.
[back
to text]
25 Wilson TE, Minkoff H, DeHovitz J,
Feldman J, Landesman S. The relationship of cocaine use and human
immunodeficiency virus serostatus to incident sexually transmitted
diseases among women. Sexually Transmitted Diseases 1998;25:70-75.
[back
to text]
26 Ross MW, Hwang L, Leonard L, Teng
M, Duncan L. Sexual behaviour, STDs and drug use in a crack house
population. International Journal of STD and AIDS 1999;10:224-230.
[back
to text]
27 Siegal HA, Carlson RG, Falck R, Forney
MA, Wang J, Li L. High-risk behaviors for transmission of syphilis
and human immunodeficiency virus among crack cocaine-using women:
A case study from the Midwest. Sexually Transmitted Diseases
1992;19:266-271.
[back
to text]
28
Elifson KW, Boles J, Darrow WW, Sterk CE. HIV seroprevalence
and risk factors among clients of female and male prostitutes.
Journal of Acquired Immune Deficiency Syndromes and Human Retrovirology
1999;20:195-200.
[back
to text]
29
Susser E, Valencia E, Miller M, Tsai WY, Meyer-Bahlburg H,
Conover S. Sexual behavior of homeless mentally ill men at risk
for HIV. American Journal of Psychiatry 1995;152:583-7.
[back
to text]
30
de Graaf R, Vanwesenbeeck I, van Zessen G, Straver CJ, Visser JH. Alcohol and drug use in heterosexual and homosexual prostitution,
and its relation to protection behaviour. AIDS Care 1995;7:35-47.
[back
to text]
31
Hart G, Whittaker D. Sex workers and HIV. AIDS Care
1994;6:267-68.
[back
to text]
For more information, contact:
Bonnie Devlin
Vanguard Project Coordinator
608 - 1081 Burrard Street
Vancouver, BC, Canada, V6Z 1Y6
Tel: (604)806-8306
Fax: (604)806-9044 |