Abstract
Background
Street-based female sex workers (FSWs) are highly at risk of HIV and other harms associated with sex work. We assessed the prevalence of non-injection and injection drug use and their associated factors among street-based FSWs in Iran.
Methods
We recruited 898 FSWs from 414 venues across 19 major cities in Iran between October 2016 and March 2017. Correlates of lifetime and past-month non-injection and injection drug use were assessed through multivariable logistic regression models. Adjusted odds ratios (AOR) and 95% confidence intervals (CI) were reported.
Results
Lifetime and past-month non-injection drug use were reported by 60.3% (95% CI 51, 84) and 47.2% (95% CI 38, 67) of FSWs, respectively. The prevalence of lifetime and past-month injection drug use were 8.6% (95% CI 6.9, 10.7) and 3.7% (95% CI 2.6, 5.2), respectively. Recent non-injection drug use was associated with divorced marital status (AOR 2.00, 95% CI 1.07, 3.74), temporary marriage (AOR 4.31 [1.79, 10.40]), had > 30 clients per month (AOR 2.76 [1.29, 5.90]), ever alcohol use (AOR 3.03 [1.92, 6.79]), and history of incarceration (AOR 7.65 [3.89, 15.30]). Similarly, lifetime injection drug use was associated with ever alcohol use (AOR 2.74 [1.20–6.20]), ever incarceration (AOR 5.06 [2.48–10.28]), and ever group sex (AOR 2.44 [1.21–4.92]).
Conclusions
Non-injection and injection drug use are prevalent among street-based FSWs in Iran. Further prevention programs are needed to address and reduce harms associated with drug use among this vulnerable population in Iran.
Keywords: Female sex workers, Drug use, Injection drug use, Harm reduction, Iran
Introduction
The high prevalence of drug use among female sex workers (FSWs) has been reported in different international studies [1, 2]. A reason offered for the high prevalence drug use among FSWs is a coping strategy for facilitating the process of engaging sexually with clients [3]. Literature has also documented the role of drug use in promoting HIV risk among FSWs [4]. In comparison with women in the general population, FSWs are more likely to become HIV-infected. For example, a meta-analysis estimated that FSWs are 13.5 times more likely to be living with HIV than other women of similar reproductive age in low- and middle-income countries [5]. Drug use, large number of paid and nonpaid sexual partners, condomless sexual intercourse, and involvement in group sex practices are of some possible explanations for the increased risk of HIV infection among FSWs [6, 7].
The evidence has shown that street-based FSWs experience multiple vulnerabilities, including police harassments, sexual violence, large number of clients, elevated risk of unprotected sex, and higher HIV/STI prevalence greater than another type of FSWs [8–11]. Studies also showed that street-based FSWs are more likely to report drug use than non-street-based FSWs [12, 13]. A study reported that about 60% of street-based FSWs in Addis Ababa abused substances [14]. Another study in US reported that their participants were mostly poly drug users, and 80.4% and 68.2% of street-based FSWs reported alcohol use and crack-cocaine use, respectively [15].
In Iran, FSWs have been recognized as the second most at-risk subpopulation for HIV infection. Population size estimation study estimated that 228,700 women were engaged in sex work in 2017 [16]. Studies using data from two national surveillance surveys showed that HIV prevalence among FSWs was 4.5% in 2010 [17] and 2.1% in 2015 [18], and a recent meta-analysis reported the pooled HIV prevalence as 2.23% among FSWs in Iran [19]. While our understanding about non-injection and injection drug use among FSWs is growing in Iran [20], less attention has been paid to the pattern of injection and non-injection drug use specifically among street-based FSWs. Studies with facility-based participants have estimated that that 24.9% and 14.6% of FSWs reported past-month non-injection drug use [21] and lifetime injection drug use [22]. Crystal methamphetamine use also has been reported by 15.0% of FSWs in Iran [23].
Similar to other countries, there are different FSWs types in Iran. In Iran, while the majority operate sex work in small groups or as an individual-based business, some of them are linked to some homes, recognized as “illegal brothels” where they can meet clients. Others seek clients in public venues, including parks, shopping centers, and street corners. The typology of sex workers, their social networks, and physical presence have been overlooked in investigations; however, experts believe the street-based FSWs form the most high-risk subgroups, have multiple risk profiles, and need to be targeted first by prevention program [24]. The present study approached and recruited street-based FSWs from public venues for the first time. We applied a rapid assessment and response method to measure the prevalence rate of non-injection and injection drug use and factors associated with such behaviors.
Methods
Study design
This cross-sectional survey was performed to measure the high-risk behaviors of street-based FSWs in Iran using a rapid assessment and response method. We recruited 898 FSWs from 414 venues across 19 major cities in Iran between October 2016 to March 2017. Venues consisted of public places where FSWs mostly attend for socializing, seeking clients, or drugs. The selection of the venues was carried out by the feedback of the key informants and local experts. The venues also were chosen based on their population size and locations after our team visited all reported places. The random sampling method was used from the universe of venues to recruit FSWs.
A convenience sample of 3–5 eligible participants were recruited at each venue. Inclusion criteria were: being ≥ 18 years old, have had sex for money or goods (food, drugs, etc.) in the past year, worked or lived in the city at the time of the study, and provided verbal consent were invited to participate in the study.
Data collection
Trained female interviewers have met with FSWs participants individually and in private and asked the questions using the questionnaire and recorded the relevant responses. The questionnaire was previously piloted and used in two national bio-behavioral surveillance surveys among FSWs in Iran [18, 25]. The survey questionnaire was in Farsi and included various sections such as demographics, history of non-injection and injection drug use, sexual practices, and access to prevention and care services.
Measures
The two primary study outcomes for this paper were lifetime and past-month drug use and injection frequencies. They both have been explored by self-report measures. We considered any self-reported history of drug use (which also includes injection) in the past as lifetime drug use (binary variable: yes/no), and any self-reported history of drug injection as lifetime drug injection (binary variable: yes/no). Using the same approach, we also measured and defined non-injection and injection drug use in the past month.
We explored correlates of non-injection and injection drug use with independent variables of interest included age at interview (18–24, 25–34, or > 35 years), education level (never attended school, primary school, secondary school, high-school, diploma or college degree), marital status (single (never married), currently married, divorced, temporarily married, or widowed), age at first sex (≤ 18 or > 18 years), income ($230 or less, $230 to $1100, $1100 to $2200, or $2200 or more), age at sex work debut (≤ 18, > 18 years), the duration of sex work involvement (< 5 or ≥ 5), ever practiced group sex (yes or no), ever consumed alcohol (yes or no), and ever incarcerated (yes or no).
Statistical analysis
We reported the prevalence of study outcomes by point and 95% Confidence Interval (CI). We initially examined the association between other variables and study outcomes in bivariate analysis using the Chi-squared test (or Fisher’s exact test). Those variables with P < 0.2 were included in a multiple logistic regression model. Based on the literature, we included all known confounders, such as education and marital status in the model, even if the crude analysis p value was not < 0.2. We reported the Adjusted Odds Ratio (AOR) point estimate and 95% CI as the effect measures. We used Stata version 11 (Stata Corp.) for data analysis. Moreover, P < 0.05 were considered as statistically significant.
Ethical considerations
Given the criminalized nature of sex work in Iran and the low levels of literacy among a significant subset of the participants, which posed challenges to written informed consent, the interviewed FSWs provided verbal informed consent. The study participants were also briefed about the voluntary nature of their participation, objectives of the survey, the provided incentives, and the anonymity of all collected data.
Results
Participant characteristics
A total of 898 FSWs were recruited from 414 VDTs in 19 major cities of Iran. The response rate was 93.1%. The mean (SD) age of participants was 33.07 (7.94) years. Most participants (39.4%) were divorced at the time of the study and had secondary school education (27.3%). 21.8% earned $2200 or more per month, and about one-third of respondents (25.9%) were classified as homeless. With respect to sexual practices, the majority (70.2%) of participants had first sexual contact < 18 years old, and 30.8% reported entering sex work before the age of 18. Ever alcohol use was reported by 55.4%. Lifetime history of incarceration was reported by 28.7% (Table 1).
Table 1.
Non-injection drug use | Injection drug use | Total N (%) | |||||||
---|---|---|---|---|---|---|---|---|---|
Never N (%) | Lifetimea N (%) | Past-month N (%) | P valueb | Never N (%) | Lifetime N (%) | Past-month N (%) | P value | ||
Overall | 356 (39.64) | 542 (60.36) | 424 (47.22) | 820 (91.31) | 78 (8.69) | 34 (3.78) | 898 (100) | ||
Age at interview | |||||||||
18–24 | 58 (17.79) | 59 (11.15) | 50 (12.02) | 0.003 (0.489) | 111 (14.29) | 6 (7.69) | 3 (8.82) | 0.069 (0.109) | 117 (13.68) |
25–34 | 149 (45.71) | 225 (42.53) | 172 (41.35) | 344 (44.27) | 30 (38.46) | 17 (50) | 374 (43.74) | ||
≥ 35 | 119 (36.50) | 245 (46.31) | 194 (46.63) | 322 (41.44) | 42 (53.85) | 14 (41.18) | 364 (42.57) | ||
Education | |||||||||
Never attended school | 25 (7.33) | 37(6.86) | 27(6.40) | 0.042 (0.133) | 57 (7.11) | 5 (6.41) | 2 (5.88) | 0.035 (0.593) | 62 (7.05) |
Primary school | 75 (21.99) | 146 (27.09) | 114 (27.01) | 193 (24.06) | 28 (35.90) | 13 (38.24) | 221 (25.11) | ||
Secondary school | 82 (24.05) | 159 (29.50) | 134 (31.75) | 216 (26.93) | 25 (32.05) | 8 (23.53) | 241 (27.39) | ||
High school | 71 (20.82) | 84 (15.53) | 61 (14.45) | 149 (18.58) | 6 (7.69) | 4 (11.76) | 155 (17.61) | ||
Diploma | 62 (18.18) | 80 (14.84) | 61 (14.45) | 133 (16.58) | 9 (11.54) | 6 (17.65) | 142 (16.14) | ||
College | 26 (7.62) | 33 (6.12) | 25 (55.92) | 54 (6.73) | 5 (6.41) | 1(2.94) | 59 (6.70) | ||
Income | |||||||||
$230 USD or less | 27 (9.31) | 77 (15.91) | 61 (15.95) | < 0.001 (0.028) | 93 (26.71) | 11 (15.28) | 4 (12.90) | 0.017 (0.113) | 104 (13.44) |
$230 to $1100 USD | 87 (30) | 164 (33.88) | 119 (31.15) | 218 (31.05) | 33 (45.83) | 16 (51.61) | 251 (32.43) | ||
$1100 to $2200 USD | 120 (41.38) | 130 (26.86) | 105 (27.49) | 229 (32.62) | 21 (29.17) | 11 (35.48) | 250 (32.30) | ||
$2200 USD or more | 56 (19.31) | 113 (23.35) | 97 (25.39) | 162 (23.08) | 7 (9.72) | 0 (0) | 169 (21.83) | ||
Marital status | |||||||||
Single (never married) | 139 (39.04) | 94 (17.34) | 69 (16.27) | < 0.001 (0.000) | 219 (26.70) | 14 (17.95) | 8 (23.53) | 0.005 (0.684) | 2333 (25.95) |
Currently married | 51 (14.33) | 98 (18.08) | 66 (15.57) | 141 (17.20) | 8 (10.26) | 2 (5.88) | 149 (16.59) | ||
Divorced | 115 (32.30) | 239 (44.10) | 207 (48.82) | 323 (39.39) | 31 (39.74) | 12 (35.29) | 354 (39.42) | ||
Temporarily marriedd | 18 (5.06) | 66 (12.18) | 48 (11.32) | 73 (8.90) | 11 (14.10) | 6 (17.65) | 84 (9.35) | ||
Widowed | 33 (9.27) | 45 (8.30) | 34 (8.02) | 64 (7.80) | 14 (17.95) | 6 (17.65) | 78 (8.69) | ||
Housing status | |||||||||
Living with family, friends, partner or spouse | 208 (66.67) | 284 (57.03) | 211 (54.81) | < 0.001 (0.012) | 458 (62.23) | 34 (45.95) | 15 (46.88) | 0.008 (0.352) | 492 (60.74) |
Living in their own house | 54 (17.31) | 54 (10.84) | 38 (9.87) | 98 (13.32) | 10 (13.52) | 6 (18.75) | 108 (13.33) | ||
Homeless | 50 (16.03) | 160 (32.13) | 136 (35.32) | 180 (24.46) | 30 (40.54) | 11 (34.38) | 210 (25.93) | ||
Age at first sexual contacte | |||||||||
≤ 18 versus > 18 | 180 (59.41) | 395 (76.55) | 318 (77.56) | < 0.001 (0.591) | 514 (69.27) | 61 (79.22) | 23 (69.70) | 0.069 (0.198) | 575 (70.22) |
Age at sex work initiationf | |||||||||
≤ 18 versus > 18 | 82 (30.15) | 142 (31.28) | 101 (28.37) | 0.750 (0.007) | 199 (30.47) | 25 (34.25) | 11 (34.38) | 0.508 (0.634) | 224 (30.85) |
Ever used alcohol | |||||||||
Yes | 180 (59.41) | 378 (69.74) | 295 (69.58) | < 0.001 (0.605) | 435 (53.05) | 63 (80.77) | 25 (73.53) | < 0.001 (0.510) | 498 (55.46) |
No | 120 (40.59) | 164 (30.26) | 129 (30.42) | 385 (46.95) | 15 (19.23) | 9 (26.47) | 400 (44.54) | ||
Ever incarcerated | |||||||||
Yes | 34 (9.55) | 224 (41.33) | 167 (39.39) | < 0.001 (0.200) | 210 (25.61) | 48 (61.54) | 13 (38.24) | < 0.001 (0.003) | 258 (28.73) |
No | 322 (90.45) | 313 (58.67) | 257 (60.61) | 610 (74.39) | 30 (38.46) | 21 (61.76) | 640 (71.27) |
aLifetime also includes past-month drug use/injection
bLifetime (past-month)
cDrug use also includes drug injection, and so the numbers in the subgroups do not add up to the total number
dTemporary marriage is locally named Sigheh
Non-injection and injection drug use prevalence
Lifetime and past-month non-injection drug use was reported by 60.3% (95% CI 57.0, 63.5) and 47.2% (95% CI 43.9, 50.5) of participants. The prevalence of lifetime and past-month injection drug use were 8.6% (95% CI 6.9, 10.7) and 3.7% (95% CI 2.6, 5.2), respectively (Table 2).
Table 2.
Non-injection drug use | Injection drug use | |||||||
---|---|---|---|---|---|---|---|---|
% Lifetime | 95% CI | % Past-month | 95% CI | % Lifetime | 95% CI | % Past-month | 95% CI | |
Overall | 60.36 | 57.07, 63.57 | 47.22 | 43.91, 50.54 | 8.69 | 6.93, 10.72 | 3.78 | 2.64, 5.25 |
Age at interview | ||||||||
18–24 | 50.43 | 41.03, 59.79 | 42.73 | 33.63, 52.21 | 5.12 | 1.19, 1.08 | 2.56 | 0.53, 7.31 |
25–34 | 60.16 | 55.00, 65.15 | 45.99 | 40.85, 51.18 | 8.02 | 5.47, 11.25 | 4.54 | 2.66, 7.17 |
≥ 35 | 67.31 | 62.22, 72.10 | 53.30 | 48.02, 58.51 | 11.54 | 8.44, 15.27 | 3.85 | 2.11, 6.36 |
Education | ||||||||
Never attended school | 59.68 | 46.44, 71.94 | 43.55 | 30.99, 56.74 | 8.06 | 2.67, 17.82 | 3.22 | 0.39, 11.17 |
Primary school | 66.06 | 59.41, 72.27 | 51.58 | 44.78, 58.33 | 12.67 | 8.58, 17.78 | 5.88 | 3.16, 9.84 |
Secondary school | 65.97 | 59.61, 71.93 | 44.60 | 49.08, 61.97 | 10.37 | 6.82, 14.93 | 3.32 | 1.44, 6.43 |
High school | 54.19 | 46.01, 62.21 | 39.35 | 31.61, 47.51 | 3.87 | 1.43, 8.23 | 2.58 | 0.70, 6.57 |
Diploma or college | 56.22 | 49.06, 63.18 | 42.79 | 35.84, 49.93 | 69.96 | 38.59, 11.41 | 3.48 | 1.41, 7.04 |
Marital status | ||||||||
Single (never married) | 40.34 | 33.98, 46.94 | 29.61 | 23.83, 35.92 | 6.00 | 3.32, 9.87 | 3.43 | 1.49, 6.65 |
Currently married | 65.77 | 57.56, 73.34 | 44.29 | 36.16, 52.65 | 5.36 | 2.34, 10.30 | 1.34 | 0.16, 4.76 |
Divorced | 67.51 | 62.36, 72.36 | 58.47 | 53.14, 63.65 | 8.76 | 6.02, 12.19 | 3.39 | 1.76, 5.84 |
Temporarily married | 78.57 | 68.26, 86.77 | 57.14 | 45.87, 67.89 | 13.09 | 6.72, 22.22 | 7.43 | 2.66, 14.90 |
Widowed | 57.69 | 45.97, 68.80 | 43.59 | 32.38, 55.29 | 17.95 | 10.17, 28.27 | 7.69 | 2.87, 15.99 |
Income | ||||||||
$230 USD or less | 74.04 | 64.51, 82.14 | 58.65 | 48.5, 68.22 | 10.58 | 5.39, 18.13 | 3.85 | 1.05, 9.55 |
$230 to $1100 USD | 63.34 | 59.09, 71.21 | 47.41 | 41.09, 53.78 | 13.15 | 9.22, 17.96 | 6.37 | 3.68, 10.14 |
$1100 to $2200 USD | 52 | 45.61, 58.33 | 42 | 35.80, 48.38 | 8.4 | 5.27, 12.55 | 4.4 | 2.21, 7.73 |
$2200 USD or more | 66.86 | 59.22, 73.90 | 57.40 | 49.57, 64.95 | 4.14 | 1.68, 8.34 | 0.00 | 0.00, 2.15 |
Housing status | ||||||||
Living with family, friends, partner or spouse | 57.72 | 53.22, 62.13 | 42.89 | 38.46, 47.39 | 6.91 | 4.83, 9.52 | 3.05 | 1.71, 4.97 |
Living in their own house | 50 | 40.22, 59.77 | 35.18 | 26.24, 44.96 | 9.25 | 4.52, 16.36 | 5.55 | 2.06, 11.70 |
Homeless | 76.19 | 69.84, 81.78 | 64.76 | 57.88, 71.21 | 14.28 | 9.85, 19.76 | 5.24 | 2.64, 9.17 |
Duration of sex work | ||||||||
≤ 5 | 53.05 | 45.11, 60.87 | 42.07 | 34.41, 50.01 | 5.49 | 2.53–10.16 | 3.05 | 0.9, 6.97 |
> 5 | 66.85 | 62.68, 70.83 | 52.62 | 48.28, 56.92 | 11.80 | 9.18–14.84 | 5.06 | 3.35, 7.27 |
Age at first sex (years) | ||||||||
≤ 18 | 68.69 | 64.72, 72.46 | 55.30 | 51.13, 59.41 | 10.60 | 8.21, 13.41 | 4 | 2.55, 5.94 |
> 18 | 49.59 | 43.15, 56.04 | 37.70 | 31.60, 44.11 | 6.56 | 3.79, 10.43 | 4.10 | 1.98, 7.40 |
Age at sex work debut (years) | ||||||||
≤ 18 | 63.39 | 56.71, 69.70 | 45.09 | 38.45, 51.85 | 11.16 | 7.35, 16.03 | 4.91 | 2.47, 8.61 |
> 18 | 62.15 | 57.74, 66.41 | 50.80 | 46.33, 55.25 | 9.56 | 7.13, 12.47 | 4.18 | 2.60, 6.32 |
Number of clients per month | ||||||||
< 5 | 55.40 | 48.45, 62.19 | 30.52 | 24.40, 37.17 | 6.57 | 3.63, 10.78 | 2.82 | 1.04, 6.03 |
6–15 | 56.22 | 48.74, 63.48 | 42.16 | 34.95, 49.62 | 12.43 | 8.04, 18.06 | 7.03 | 3.79, 11.17 |
16–30 | 71.75 | 63.22, 79.27 | 61.83 | 52.93, 70.17 | 12.98 | 7.74, 19.96 | 6.11 | 2.67, 11.67 |
> 30 | 82.5 | 74.50, 88.82 | 79.17 | 70.80, 86.04 | 7.5 | 3.48, 13.76 | 0.8 | 0.02, 4.5 |
Group sex (ever) | ||||||||
No | 60.24 | 56.13, 64.24 | 45.44 | 41.33, 49–58 | 7.23 | 5.25, 9.64 | 3.10 | 1.84, 4.85 |
Yes | 60.75 | 58.81, 70.35 | 53.96 | 47.90, 59.92 | 12.23 | 8.62, 16.66 | 5.39 | 3.05, 8.74 |
Ever consumed alcohol | ||||||||
No | 41 | 36.13, 45.99 | 32.25 | 27.69, 37.07 | 3.75 | 2.11, 6.10 | 2.25 | 1.03, 4.22 |
Yes | 75.90 | 71.89, 79.59 | 59.24 | 54.77, 63.58 | 12.65 | 9.85, 15.89 | 5.02 | 3.27, 7.32 |
Ever incarcerated | ||||||||
No | 49.69 | 45.74, 53.63 | 40.16 | 36.33, 44.07 | 4.69 | 3.18, 6.62 | 3.28 | 2.04, 4.97 |
Yes | 86.82 | 82.07, 90.69 | 64.73 | 58.56, 70.55 | 18.60 | 14.04, 23.89 | 5.04 | 2.70, 8.46 |
Non-injection drug use and associations with covariates
A higher prevalence of lifetime non-injection drug use was reported among FSWs who were in the older age category (46.3%), had secondary school level of education (29.5%), earned $230 to $1100 (33.8%), were divorced (44.1%), reported living with family, friends, partner or spouse (57.0%), had experienced first sex at a younger age (76.5%), ever consumed alcohol (69.7%), and had not ever incarcerated (58.6%). Moreover, non-injection drug use in the past month was significantly higher among participants who earned $230 to $1100 (31.1%), were divorced (48.8%), reported living with family, friends, partner or spouse (54.8%), and had initiated sex work at an older age (71.7%) (Table 1).
In the multivariable logistic regression model, lifetime non-injection drug use was more likely to be reported by FSWs who were divorced (AOR 2.00, 95% CI 1.07, 3.74) or temporarily married (AOR 4.31, 95% CI 1.79, 10.40), had > 30 clients per month (AOR 2.76, 95% CI 1.29, 5.90), ever consumed alcohol (AOR 3.03, 95% CI 1.92, 6.79), and had a history of incarceration (AOR 7.65, 95% CI 3.89, 15.30). Lifetime non-injection drug use was less likely to be reported by FSWs who had earned $230 to $1100 (AOR 0.34, 95% CI 0.14, 0.80), had experienced first sex at a younger age (AOR 0.47, 95% CI 0.29, 0.77). In addition, past-month non-injection drug use was also more likely to be reported by FSWs who were divorced (AOR 3.26, 95% CI 1.72, 6.16) or temporarily married (AOR 3.54, 95% CI 1.55, 8.08), had ˃30 clients per month (AOR 5.76, 95% CI 2.82, 11.72), ever consumed alcohol (AOR: 1.90, 95% CI 1.22, 2.97), and ever incarcerated (AOR 3.05, 95% CI 1.85, 5.01). Last-month non-injection drug use was less likely to be reported by FSWs who had experienced first sex at a younger age (AOR 0.45, 95% CI 0.26, 0.75) (Table 3).
Table 3.
Variable | Lifetime non-injection drug use | Past-month non-injection drug use | Lifetime injection drug use | Past-month injection drug use | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
AORa | CI 95% | P | AOR | CI 95% | P | AOR | CI 95% | P | AOR | CI 95% | P | |
Age at interview | ||||||||||||
18–24 | Ref | Ref | Ref | |||||||||
25–34 | 2.07 | 0.97, 4.39 | 0.058 | 0.88 | 0.41, 1.89 | 0.756 | 1.01 | 0.22, 4.57 | 0.993 | |||
≥ 35 | 1.94 | 0.85, 4.42 | 0.114 | 0.85 | 0.36, 2.00 | 0.716 | 1.13 | 0.23, 5.54 | 0.877 | |||
Marital status | ||||||||||||
Single (never married) | Ref | Ref | Ref | Ref | ||||||||
Currently married | 1.90 | 0.89, 4.08 | 0.096 | 1.54 | 0.72, 3.30 | 0.264 | 0.11 | 0.01, 0.57 | 0.009 | 0.49 | 0.09, 2.48 | 0.393 |
Divorced | 2.00 | 1.07, 3.74 | 0.028 | 3.26 | 1.72, 6.16 | < 0.001 | 0.61 | 0.23, 1.56 | 0.304 | 0.58 | 0.20, 1.67 | 0.320 |
Temporarily married | 4.31 | 1.79, 10.40 | 0.001 | 3.54 | 1.55, 8.08 | 0.003 | 1.76 | 0.56, 5.47 | 0.326 | 1.94 | 0.56, 6.66 | 0.292 |
Widowed | 1.17 | 0.46, 2.95 | 0.731 | 1.62 | 0.65, 4.01 | 0.259 | 1.30 | 0.38, 4.43 | 0.675 | 1.31 | 0.35, 4.88 | 0.689 |
Income (per month) | ||||||||||||
$230 USD or less | Ref | Ref | Ref | |||||||||
$230 to $1100 USD | 0.65 | 0.28, 1.50 | 0.313 | 0.57 | 0.25, 1.28 | 0.172 | 0.72 | 0.22, 2.32 | 0.588 | |||
$1100 to $2200 USD | 0.34 | 0.14, 0.80 | 0.014 | 0.60 | 0.26, 1.35 | 0.219 | 0.49 | 0.14, 1.62 | 0.242 | |||
$2200 USD or more | 0.49 | 0.19, 1.25 | 0.137 | 0.67 | 0.27, 1.63 | 0.381 | 0.22 | 0.05, 0.91 | 0.037 | |||
Housing status | ||||||||||||
Living with family, friends, partner or spouse | Ref | Ref | Ref | Ref | ||||||||
Living in their own house | 1.02 | 0.51, 2.04 | 0.945 | 0.87 | 0.45, 1.68 | 0.689 | 1.37 | 0.47, 3.95 | 0.561 | 2.22 | 0.70, 6.97 | 0.171 |
Homeless | 1.41 | 0.79, 2.51 | 0.243 | 1.68 | 0.98, 2.86 | 0.056 | 2.05 | 0.94, 4.44 | 0.067 | 2.34 | 0.89, 6.09 | 0.081 |
Age at first sex, y (≤ 18 vs. > 18) | 0.47 | 0.29, 0.77 | 0.003 | 0.45 | 0.26, 0.75 | 0.002 | 0.71 | 0.29, 1.71 | 0.450 | |||
Age at sex work debut (≤ 18 vs. > 18) | 1.48 | 0.85, 2.56 | 0.166 | 1.29 | 0.57, 2.90 | 0.533 | ||||||
Duration of sex work (< 5 vs. ≥ 5) | 1.25 | 0.69–2.25 | 0.453 | 1.36 | 0.85, 2.56 | 0.362 | 3.49 | 0.91, 13.27 | 0.067 | |||
Number of clients per month | ||||||||||||
≤ 5 | Ref | Ref | Ref | Ref | ||||||||
6–15 | 1.23 | 0.69, 2.20 | 0.474 | 1.96 | 1.11, 3.42 | 0.019 | 1.48 | 0.62, 3.50 | 0.369 | 2.55 | 0.93, 6.98 | 0.068 |
16–30 | 1.98 | 0.99, 3.96 | 0.052 | 3.12 | 1.64, 5.92 | < 0.001 | 1.16 | 0.45, 2.99 | 0.744 | 1.88 | 0.60, 5.91 | 0.275 |
> 30 | 2.76 | 1.29, 5.90 | 0.009 | 5.76 | 2.82, 11.72 | < 0.001 | 0.58 | 0.19, 1.70 | 0.324 | 0.23 | 0.02, 2.00 | 0.185 |
Group sex (ever) (Yes vs. No) | 2.44 | 1.21, 4.92 | 0.013 | |||||||||
Ever consumed alcohol (Yes vs. No) | 3.03 | 1.92, 6.79 | < 0.001 | 1.90 | 1.22, 2.97 | 0.005 | 2.74 | 1.20, 6.20 | 0.016 | 1.88 | 0.78, 4.50 | 0.157 |
Ever incarcerated (Yes vs. No) | 7.65 | 3.89, 15.30 | < 0.001 | 3.05 | 1.85, 5.01 | < 0.001 | 5.06 | 2.48, 10.28 | < 0.001 |
aUsing multivariable logistic regression, variables with a P value less than 0.2 in the bivariable analysis were entered into multivariable analysis
Injection drug use and associations with covariates
Lifetime injection drug use was higher among FSWs who reported primary school education (35.9%), earned $230 to $1100 (51.6%), were divorced (35.2%), reported living with family, friends, partner or spouse (45.9%), ever consumed alcohol (80.7%), and had ever incarcerated (61.5%). Injection drug use in the past month was significantly higher among participants who reported had not a history of incarceration (61.7%) (Table 1).
The multivariable logistic regression model showed that lifetime injection drug use was more likely to be reported by FSWs who ever practiced group sex (AOR 2.44, 95% CI 1.21, 4.92), ever consumed alcohol (AOR 2.74, 95% CI 1.20, 6.20), ever incarcerated (AOR 5.06, 95% CI 2.48, 10.28), and lifetime drug injection was less likely to be reported by FSWs who were married (AOR 0.11, 95% CI 0.01, 0.57), earned $2200 or more per month (AOR 0.22, 95% CI 0.05, 0.91) (Table 3).
Discussion
The findings showed that about half of the street-based FSWs in Iran reported non-injection drug use in the past month, and almost one in ten had ever injected drugs, and 3.7% injected drugs in the past month. Non-injection and injection drug use was significantly associated with being divorced and temporary marriage, lower income, a higher number of clients, alcohol use, and incarceration. Moreover, injection drug use was associated with group sex practice.
Our results are comparable with global literature and recent literature from Iran on the prevalence of drug use among FSWs. The prevalence of drug use in this study falls within the range of international studies, which have reported drug use prevalence ranging from 2.6% recent use in China [26] to over 90% lifetime use in Australia [13]. Drug use prevalence that we found among street-based FSWs were higher than that reported for facility-based FSWs in previous studies in Iran. For example, Shokoohi et al. [20] using national bio-behavioral surveillance survey data, showed that only 24.9% of facility-based FSWs reported past-month non-injection drug use. Moreover, lifetime injection drug use prevalence was reported as 6.1% in 2015 and 14.6% in 2010 national bio-behavioral surveillance surveys with facility-based participants [18, 21]. The high prevalence of lifetime drug use among FSWs also reported among FSWs in Mazandaran (59.0%) [27] and shiraz (69.9%) [28] in the previous studies with small sample size. Accordingly, Harm reduction programs should prioritize drug use among FSWs to improve the impact of harm reduction among these marginalized population, particularly among those who street-based.
We found that socioeconomic factors including lower income, being divorced and temporary marriage associated with increased odds of using non-injection and injection drug use among our participants. The finding was consistent with prior studies in Iran that illustrated the role of lower socioeconomic status on FSW’s drug use engagement [29]. Another study in our context also showed the link between drug use and temporary marriage; FSWs who engaged in temporary marriage are more likely to be involved in drug use. Reasons offered from this study include temporary marriage can be a mediator for lack of familial support, low socioeconomic status, and sex work of the study participants, which is associated with an increased risk of drug use [20]. It is also documented that low socioeconomic status often heightens women’s entry into sex work and increases sex work related adverse health consequences including drug use [30]. For example, a study in the Dominican Republic revealed that employment stability reduced the likelihood of drug use by 60% in their participants [2]. We also suggest that economic promotion can decrease sex work-related adverse health consequences.
Our findings indicate the role of interpersonal and individual factors in elevating the odds of non-injection and injection drug use among street-based FSWs. We observed that higher number of clients, alcohol use, and group sex was associated with higher likelihood of non-injection and injection drug use among FSWs. FSWs who have higher number of clients may use or inject drugs to facilitate the process of engaging sexually with higher number of clients [3] and coping with their working circumstances [31]. A study on crystal methamphetamine use of FSWs in Iran also reported the association of drug use and having more sexual partners [22]. Group sex, an indicator of high-risk behaviors, has also been reported to be associated with injection and non-injection drug use [32, 33]. Our findings demonstrate the need to highlight the significance of drug treatment interventions for FSWs, particularly among those who report higher number of clients and who practicing group sex.
We also documented that a structural factor such as history of incarceration increase the likelihood of non-injection and injection drug use among FSWs. This finding are also consistent with previous studies indicating the role of this structural determinant on increased risk of non-injection and injection drug use among FSWs [20, 34]. Therefore, given the vulnerabilities associated with non-injection and injection drug use among FSWs and the fact that FSWs with a history of incarceration were more likely to used or inject drugs, our findings, in line with the evidence among FSWs in Iran, suggested a need for removing the barriers to seeking drug use treatment, targeting the structural determinants of drug use among FSWs, and providing effective drug use prevention and treatment programs for FSWs to address and reduce associated harms and vulnerabilities among FSWs [20, 34].
Our study had three significant limitations. First, we measured the drug use and drug injection by self-report; thus, the obtained data might be under-reported due to social desirability bias. Secondly, like other cross-sectional studies, we could only assess the factors correlated with drug use and drug injection, but not the cause and effect relationships. Finally, to recruit street-based FSWs from venues, we used a non-probability sampling technique, which limited the generalizability of our findings.
Conclusion
Regardless of these limitations, the present study contributes to the growing body of evidence on drug use among FSWs in Iran. Our research showed that non-injection drug use is prevalent among street-based FSWs, and the prevalence of injection drug use among this sample of FSWs is concerning. Findings suggest the need to harm reduction interventions such as behavioral and opioid substitution therapeutic strategies that focus on street-based FSWs in Iran to reduce harm among this understudied and marginalized population. Future studies addressing access of street-based FSWs to harm reduction services are recommended.
Acknowledgements
The study was funded by the State Welfare Organization (SWO) of Iran. We also received support from the University of California, San Francisco's International Traineeships in AIDS Prevention Studies (ITAPS), U.S. NIMH, R25 MH064712. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
Abbreviations
- OR
Odds ratio
- CI
Confidence intervals
- FSWs
Female sex workers
Authors’ contributions
PR, MV, MN, DA, SA, MR helped with study concept, design, and implementation. KM, EA, and AM helped in the analysis and interpretation of data. PR and MK drafted the manuscript, which was critically reviewed. All authors read and approved the final manuscript.
Funding
This research was supported by the State Welfare Organization (SWO) of Iran.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Declarations
Ethics approval and consent to participate
The study protocol and procedures were reviewed and approved by the Ethics Committee and the Research Review Board of the University of Social Welfare and Rehabilitation Sciences (code: IR.USWR.REC.1394.392).
Consent for publication
Not applicable.
Competing interests
The authors declare that there are no conflicts of interest.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.