| Literature DB >> 34895195 |
Susan G Sherman1, Catherine Tomko2, Bradley E Silberzahn3, Rebecca Hamilton White2, Danielle Friedman Nestadt2, Emily Clouse2, Katherine Haney2, Noya Galai4.
Abstract
BACKGROUND: The role of business employees and community members in the HIV risk environment of female sex workers (FSW) is underexplored, despite sex work often located in commercial and residential urban areas. We explored the effect of negative interactions between business employees and community members on inconsistent condom use with clients of female sex workers.Entities:
Keywords: Condom use; Female sex work; HIV; Risk environment
Mesh:
Year: 2021 PMID: 34895195 PMCID: PMC8666055 DOI: 10.1186/s12889-021-12293-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Sample characteristics stratified by inconsistent condom use with clients among n = 361 female sex workers (FSW) in Baltimore, Maryland
| No Inconsistent Condom Use ( | Inconsistent Condom Use ( | Total (n = 361) | P | |
|---|---|---|---|---|
| Demographics | ||||
| Age | 0.37 | |||
| 45 (22.4) | 39 (24.4) | 84 (23.3) | ||
| 86 (42.8) | 57 (35.6) | 143 (39.6) | ||
| 52 (25.9) | 42 (26.3) | 94 (26.0) | ||
| 18 (9.0) | 22 (13.8) | 40 (11.1) | ||
| Education: 3 level | 0.92 | |||
| 92 (45.8) | 73 (45.6) | 165 (45.7) | ||
| 52 (25.9) | 39 (24.4) | 91 (25.2) | ||
| 57 (28.4) | 48 (30.0) | 105 (29.1) | ||
| Race | 0.45 | |||
| 116 (57.7) | 86 (53.8) | 202 (56.0) | ||
| 85 (42.3) | 74 (46.3) | 159 (44.0) | ||
| Arrested, past 6 months* | 43 (21.7) | 50 (31.4) | 93 (26.1) | 0.04 |
| Economic Context | ||||
| Homeless, past 6 months | 134 (66.7) | 105 (65.6) | 239 (66.2) | 0.32 |
| Experienced hunger… | 0.32 | |||
| 82 (40.8) | 57 (35.6) | 139 (38.5) | ||
| 119 (59.2) | 103 (64.4) | 222 (61.5) | ||
| Depend on someone financially | 146 (72.6) | 127 (79.4) | 273 (75.6) | 0.15 |
| Others depend on you financially | 95 (47.3) | 79 (49.4) | 174 (48.2) | 0.69 |
| Sex work only source of income | 53 (26.4) | 41 (25.6) | 94 (26.0) | 0.87 |
| Mental Health | ||||
| Clinically-significant PTSD symptoms* | 96 (49.0) | 93 (58.5) | 189 (53.2) | 0.07 |
| Clinically-significant depressive symptoms* | 92 (46.2) | 74 (46.8) | 166 (46.5) | 0.91 |
| Substance Use | ||||
| Used crack/cocaine, past 6 months | 178 (88.6) | 138 (86.3) | 316 (87.5) | 0.51 |
| Used heroin, past 6 months | 166 (82.6) | 123 (76.9) | 289 (80.1) | 0.18 |
| Injected drugs, past 6 months | 119 (59.2) | 92 (57.5) | 211 (58.4) | 0.74 |
| Sex Work History & Characteristics | ||||
| Time in sex work | 0.99 | |||
| 83 (41.3) | 66 (41.3) | 149 (41.3) | ||
| 118 (58.7) | 94 (58.8) | 212 (58.7) | ||
| Age started sex work* | 0.41 | |||
| 38 (19.0) | 36 (22.8) | 74 (20.7) | ||
| 119 (59.5) | 83 (52.5) | 202 (56.4) | ||
| 43 (21.5) | 39 (24.7) | 82 (22.9) | ||
| Sold sex daily | 104 (51.7) | 86 (53.8) | 190 (52.6) | 0.7 |
| Found new clients on the street* | 157 (78.1) | 141 (88.7) | 298 (82.8) | 0.01 |
| Client per week | ||||
| 101 (50.3) | 54 (33.8) | 155 (42.9) | 0.002 | |
| 100 (49.8) | 106 (66.3) | 206 (57.1) | ||
| Someone takes a cut of your earnings | 26 (12.9) | 25 (15.6) | 51 (14.1) | 0.47 |
| Gonorrhea positive | 30 (15.4) | 23 (14.8) | 53 (15.1) | 0.89 |
| Chlamydia positive | 41 (20.8) | 23 (14.9) | 64 (18.2) | 0.16 |
| Violence | ||||
| Forced or pressured sex from clients, past 6 months* | 62 (30.8) | 74 (46.5) | 136 (37.8) | 0.002 |
| Client physical violence, past 6 months | 54 (26.9) | 66 (41.3) | 120 (33.2) | 0.002 |
| Client sexual violence, past 6 months* | 40 (19.9) | 53 (33.3) | 93 (25.8) | 0.004 |
| Response to Police Practices | ||||
| Rushed negotiations, past 6 months | 85 (42.7) | 77 (48.4) | 162 (45.3) | 0.28 |
| Avoided carrying condoms, past 6 months | 20 (10.0) | 35 (21.9) | 55 (15.3) | 0.002 |
| Moved to an unfamiliar area to work, past 6 months | 29 (14.7) | 35 (21.9) | 64 (17.9) | 0.08 |
*< 3% data missing
Frequencies of business employee or community member interactions stratified by inconsistent condom use among n=361 female sex workers (FSW) in Baltimore, Maryland
| No Inconsistent Condom Use (n = 201) | Inconsistent Condom Use (n = 160) | Total (n = 361) | P | No Inconsistent Condom Use ( | Inconsistent Condom Use ( | Total (n = 361) | P | |
|---|---|---|---|---|---|---|---|---|
| Business Employees | Community Members | |||||||
| Frequency of ________ reporting you to the police for using drugs | ||||||||
| Never | 156 (80.0) | 106 (67.5) | 262 (74.4) | 0.02* | 139 (70.2) | 96 (60.8) | 235 (66.0) | 0.17* |
| Monthly | 16 (8.2) | 24 (15.3) | 40 (11.4) | 30 (15.2) | 31 (19.6) | 61 (17.1) | ||
| Weekly/Daily | 23 (11.8) | 27 (17.2) | 50 (14.2) | 29 (14.5) | 31 (19.6) | 60 (16.9) | ||
| Frequency of ___________ asking you to leave the area that you are selling sex | ||||||||
| Never | 105 (53.3) | 71 (44.7) | 176 (49.4) | 0.22* | 103 (51.2) | 65 (40.6) | 168 (46.5) | 0.13 |
| Monthly | 43 (21.8) | 37 (23.3) | 80 (22.5) | 48 (23.9) | 46 (28.8) | 94 (26.0) | ||
| Weekly/Daily | 49 (24.9) | 51 (32.1) | 100 (28.1) | 50 (24.9) | 49 (30.6) | 99 (27.4) | ||
| Frequency of _____________ reporting you to the police for selling sex | ||||||||
| Never | 139 (69.5) | 90 (56.3) | 229 (63.6) | 0.03* | 125 (62.2) | 80 (50.0) | 205 (56.8) | 0.04 |
| Monthly | 34 (17.0) | 30 (18.8) | 64 (17.8) | 42 (20.9) | 37 (23.1) | 79 (21.9) | ||
| Weekly/Daily | 27 (13.5) | 40 (25.0) | 67 (18.6) | 34 (16.9) | 43 (26.9) | 77 (21.3) | ||
| Frequency of ___________ verbally or physically threatening you | ||||||||
| Never | 140 (69.7) | 103 (64.4) | 243 (67.3) | 0.36 | 132 (65.7) | 87 (54.4) | 218 (60.7) | 0.03 |
| Monthly | 30 (14.9) | 23 (14.4) | 53 (14.7) | 23 (11.4) | 33 (20.6) | 56 (15.5) | ||
| Weekly/Daily | 31 (15.4) | 34 (21.3) | 65 (18.1) | 46 (23.9) | 40 (25.0) | 86 (23.8) | ||
| Rushed negotiations with clients because of _______ in the area | ||||||||
| Ever | 56 (27.9) | 57 (35.6) | 113 (31.3) | 0.19 | 64 (31.8) | 66 (41.3) | 130 (36.0) | 0.17 |
*< 3% of data missing
Bivariate and multivariable Poisson models with robust variance modeling inconsistent condom use among n = 361 female sex workers (FSW) in Baltimore, Maryland
| Unadjusted Models | Model A | Model B | Model C | |||||
|---|---|---|---|---|---|---|---|---|
| RR (95% CI) | p | aRR | p | aRR (95% CI) | p | aRR (95% CI) | p | |
| Frequency of reporting you to the police for using drugs (ref = never) | ||||||||
| 1.48 (1.11, 1.99) | 0.01 | – | – | – | – | |||
| 1.35 (0.99, 1.79) | 0.06 | – | – | – | – | |||
| Frequency of reporting you to the police for selling sex (ref = never) | ||||||||
| 1.19 (0.88, 1.62) | 0.26 | 1.06 (0.78, 1.43) | 0.71 | 1.04 (0.75, 1.42) | 0.83 | |||
| 1.52 (1.18, 1.96) | 0.001 | 1.33 (0.99, 1.79) | 0.06 | |||||
Ever rushed negotiations with clients because of business owners (ref = never) | 1.22 (0.97, 1.55) | 0.09 | – | – | – | – | ||
| Frequency of reporting you to the police for selling sex (ref = never) | – | – | – | – | ||||
| 1.20 (0.90, 1.61) | 0.22 | 1.01 (0.75, 1.36) | 0.96 | 0.99 (0.72, 1.35) | 0.93 | |||
| 1.45 (1.12, 1.88) | 0.01 | 1.26 (0.93, 1.70) | 0.14 | |||||
| Frequency of verbally or physically threatening you (ref = never) | ||||||||
| 1.48 (1.13, 1.95) | 0.01 | |||||||
| 1.17 (0.89, 1.55) | 0.27 | 0.88 (0.66, 1.18) | 0.40 | 0.84 (0.62, 1.14) | 0.27 | |||
Ever rushed negotiations with clients because of community members (ref = never) | 1.25 (0.99, 1.58) | 0.06 | – | – | – | – | ||
| Found new clients on the street (ref = no) | 0.02 | 0.03 | 0.05 | 0.02 | ||||
| 1.63 (1.08, 2.45) | 1.58 (1.06, 2.35) | 1.58 (1.07, 2.34) | 1.58 (1.07, 2.34) | |||||
| Client forced or pressured sex (ref = no) | 0.002 | 0.02 | 0.05 | 0.05 | ||||
| 1.44 (1.14, 1.80) | 1.30 (1.04, 1.63) | 1.25 (1.00, 1.58) | 1.26 (1.00, 1.58) | |||||
| Client per week (ref = 1–5) | 0.01 | 0.01 | 0.01 | |||||
| 1.37 (1.07, 1.77) | 1.39 (1.08, 1.78) | 1.38 (1.08, 1.77) | ||||||
| Avoided carrying condoms because of police (ref = no) | < 0.001 | 0.03 | 0.01 | 0.01 | ||||
| 1.55 (1.22, 1.98) | 1.33 (1.02, 1.72) | 1.41 (1.10, 1.81) | 1.37 (1.06, 1.76) | |||||