| Literature DB >> 26272078 |
Raymond Boon Tar Lim1, Mee Lian Wong2, Poh Huat Tan3, Mandy Govender4.
Abstract
BACKGROUND: Sex work has shifted from brothels to entertainment establishments (EEs) in Asia. Men who patronise EEs could act as a bridging population for human immunodeficiency virus (HIV) and sexually transmitted infection (STI) transmission through unprotected sex with the female EE workers to their spouses and regular partners. The aim of this study was to compare the prevalence and factors associated with risky sexual behaviours among the heterosexual men who patronised the EEs and brothels in Singapore.Entities:
Mesh:
Year: 2015 PMID: 26272078 PMCID: PMC4535740 DOI: 10.1186/s12889-015-2132-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Comparison of socio-demographic characteristics of men who patronised brothels and entertainment establishments
| Characteristic | Brothels ( | Entertainment Establishments ( | p value* |
|---|---|---|---|
| N (%) | N (%) | ||
| Age (years) | |||
| Mean (SD) | 44.5 (12.5) | 34.9 (10.5) | |
| Median | 47.0 | 33.0 | <0.001 |
| Range | 21-66 | 21-64 | |
| Ethnicity | |||
| Chinese | 263 (88.6) | 200 (73.5) | |
| Malay | 17 (5.7) | 16 (5.9) | |
| Indian | 13 (4.4) | 47 (17.3) | <0.001 |
| Others | 3 (1.0) | 9 (3.3) | |
| Unknown | 1 (0.3) | 0 | |
| Marital Status | |||
| Single | 158 (53.2) | 165 (60.7) | |
| Married | 90 (30.3) | 89 (32.7) | |
| Divorced | 43 (14.5) | 16 (5.9) | 0.003 |
| Widowed | 1 (0.3) | 0 | |
| Unknown | 5 (1.7) | 2 (0.7) | |
| Housing | |||
| 1–3 room public housing | 151 (50.9) | 82 (30.2) | |
| 4–5 room public housing | 115 (38.7) | 129 (47.4) | <0.001 |
| Private Property/ Condominium/ Bungalows | 28 (9.4) | 61 (22.4) | |
| Unknown | 3 (1.0) | 0 | |
| Education | |||
| Primary or less | 113 (38.1) | 26 (9.5) | |
| Secondary | 95 (32.0) | 67 (24.6) | |
| Tertiarya (excludes university & post-graduate) | 61 (20.5) | 119 (43.8) | <0.001 |
| University & post-graduate | 19 (6.4) | 57 (21.0) | |
| Unknown | 9 (3.0) | 3 (1.1) | |
| Occupation | |||
| Professional, businessmen, managers | 48 (16.2) | 90 (33.1) | |
| Technicians, service staff, taxi drivers | 77 (25.9) | 98 (36.0) | <0.001 |
| Labourers, construction workers | 74 (24.9) | 11 (4.0) | |
| Others | 98 (33.0) | 73 (26.9) |
*Excludes unknown values
aIncludes institute of technical education, junior college and polytechnic level of education
Comparison of sexual behaviours of men who patronised brothels and entertainment establishments
| Sexual behaviour | Brothels ( | Entertainment Establishments ( |
|
|---|---|---|---|
| N (%) | N (%) | ||
| Ever engaged in paid sex in the past 12 months | 273 (91.9) | 101 (37.1) | <0.001 |
| Ever engaged in casual sex in the past 12 months | 78 (26.3) | 213 (78.3) | <0.001 |
| Numbers of partners in the past 12 months | |||
| Sex workers | |||
| Mean(SD) | 9.1 (17.6) | 3.8 (4.5) | 0.003 |
| Median (range) | 3 (1–186) | 2 (1–24) | <0.001 |
| Interquartile range | 2–10 | 1–4 | |
| Casual partners | |||
| Mean(SD) | 3.3 (4.1) | 4.1 (17.5) | 0.67 |
| Median (range) | 2 (1–20) | 2 (1–250) | 0.81 |
| Interquartile range | 1–12 | 1–16 | |
| Types of sexual intercourse in the past 12 months | |||
| Sex workers | |||
| Vaginal | 271 (91.2) | 101 (37.1) | <0.001 |
| Oral | 212 (71.4) | 64 (23.5) | <0.001 |
| Anal | 72 (24.2) | 20 (7.4) | <0.001 |
| Casual partners | |||
| Vaginal | 76 (25.6) | 204 (75.0) | <0.001 |
| Oral | 68 (22.9) | 160 (58.8) | <0.001 |
| Anal | 21 (7.1) | 54 (19.9) | <0.001 |
| Wife/girlfriend | |||
| Vaginal | 129 (43.4) | 159 (58.5) | <0.001 |
| Oral | 93 (31.3) | 133 (48.9) | <0.001 |
| Anal | 33 (11.1) | 46 (16.9) | 0.05 |
| Consistent condom use in the past 12 months | |||
| Sex workers | |||
| Vaginal | 195 (72.0) | 68 (67.3) | 0.38 |
| Oral | 120 (56.6) | 17 (26.6) | <0.001 |
| Anal | 43 (59.7) | 13 (65.0) | 0.67 |
| Casual partners | |||
| Vaginal | 41 (53.9) | 83 (40.7) | 0.04 |
| Oral | 24 (35.3) | 49 (30.6) | 0.50 |
| Anal | 14 (66.7) | 33 (61.1) | 0.65 |
| Wife/girlfriend | |||
| Vaginal | 33 (25.6) | 34 (21.4) | 0.40 |
| Oral | 23 (24.7) | 26 (19.5) | 0.35 |
| Anal | 14 (42.4) | 27 (58.7) | 0.15 |
| Screened for HIV/STI in the past 12 months | 132 (44.4) | 75 (28.0) | <0.001 |
| Self-reported STI symptoms | 15 (5.0) | 8 (3.0) | 0.20 |
Crude and adjusted analysis of consistent condom use for vaginal sex with the various factors
| Factor | Crude | Adjusteda |
|---|---|---|
| Venue type | ||
| Brothel | Referent | |
| Entertainment Establishment | 0.45 (0.32 – 0.64) | 0.64 (0.42 – 0.97) |
| Type of partner | ||
| Sex worker | Referent | |
| Casual partner | 0.59 (0.28 – 1.23) | – |
| Age group (years) | ||
| 20–39 | Referent | |
| 40–70 | 1.20 (0.81 – 1.77) | – |
| Ethnicity | ||
| Non-Chinese | Referent | |
| Chinese | 1.65 (0.69 – 3.95) | – |
| Marital status | ||
| Ever married | Referent | |
| Single | 0.70 (0.40 – 1.22) | – |
| Housing | ||
| 1-3 room public housing | Referent | |
| 4-5 room public housing | 1.20 (0.56 – 2.57) | – |
| Private Property/ Condominium/ Bungalows | 2.67 (1.07 – 6.68) | – |
| University education | ||
| No | Referent | |
| Yes | 1.89 (0.79 – 4.50) | – |
| Alcohol use before sex | ||
| No | Referent | |
| Yes | 0.62 (0.43 – 0.89) | 0.67 (0.46 – 0.98) |
| Perceived high risk of getting HIV/STIs | ||
| No | Referent | |
| Yes | 1.66 (1.10 – 2.50) | 2.08 (1.30 – 3.32) |
| Partner asked to use condoms all the time | ||
| No | Referent | |
| Yes | 5.14 (1.13 – 23.39) | 5.48 (1.20 – 25.11) |
aIn the multivariable analysis model, all crude variables with a p value of ≤0.1 are entered into the model. Only variables which are statistically significant on the final multivariable analysis are shown in the “Adjusted” column of the table
Crude and adjusted analysis of consistent condom use for oral sex with the various factors
| Factor | Crude | Adjusteda |
|---|---|---|
| Venue type | ||
| Brothel | Referent | |
| Entertainment Establishment | 0.40 (0.27 – 0.60) | 0.64 (0.39 – 0.98) |
| Type of partner | ||
| Sex worker | Referent | |
| Casual partner | 0.78 (0.29 – 2.05) | – |
| Age group (years) | ||
| 20–39 | Referent | |
| 40–70 | 1.68 (1.09 – 2.59) | – |
| Ethnicity | ||
| Non-Chinese | Referent | |
| Chinese | 1.14 (0.40 – 3.26) | – |
| Marital status | ||
| Ever married | Referent | |
| Single | 0.66 (0.44 – 0.99) | – |
| Housing | ||
| 1-3 room public housing | Referent | |
| 4-5 room public housing | 1.26 (0.49 – 3.28) | – |
| Private Property/ Condominium/ Bungalows | 2.44 (0.77 – 7.73) | – |
| University education | ||
| No | Referent | |
| Yes | 1.61 (0.53 – 4.85) | – |
| Alcohol use before sex | ||
| No | Referent | |
| Yes | 0.54 (0.36 – 0.81) | 0.50 (0.31 – 0.81) |
| Perceived high risk of getting HIV/STIs | ||
| No | Referent | |
| Yes | 1.50 (0.98 – 2.34) | – |
| Partner asked to use condoms all the time | ||
| No | Referent | |
| Yes | 5.64 (1.50 – 21.27) | 5.19 (1.38 – 19.57) |
aIn the multivariable analysis model, all crude variables with a p value of ≤0.1 are entered into the model. Only variables which are statistically significant on the final multivariable analysis are shown in the “Adjusted” column of the table
Fig. 1Reasons for unprotected last sex with different partner types for men who patronised entertainment establishments (n=272)
Fig. 2Reasons for unprotected last sex with different partner types for men who patronised brothels (n=297)