| Literature DB >> 31826167 |
Rosilane de Lima Brito Magalhães1, Laelson Rochelle Milanês Sousa2,3, Elucir Gir2, Marli Teresinha Gimeniz Galvão4, Vanessa Moura Carvalho de Oliveira1,3, Renata Karina Reis2.
Abstract
OBJECTIVE: to analyze the factors associated to the inconsistent condom use among sex workers.Entities:
Mesh:
Year: 2019 PMID: 31826167 PMCID: PMC6896796 DOI: 10.1590/1518-8345.2951.3226
Source DB: PubMed Journal: Rev Lat Am Enfermagem ISSN: 0104-1169
Socio-demographic factors associated to consistent and inconsistent condom use among sex workers. Teresina, PI, Brazil, 2017
| Variables | Total n=416 | Use of male condoms | P value | |
|---|---|---|---|---|
| N (%) | Consistent n=329 | Inconsistent n=82 | ||
| Age group (years) | ||||
| 18-24 | 104 (25,0) | 66 (63,5) | 38 (36,5) | |
| 25-39 | 259 (62,3) | 219 (84,6) | 40 (15,4) | <0,001 |
| > 40 | 53 (12,7) | 44 (83,0) | 9 (17,0) | |
| Schooling level (years) | ||||
| < 8 | 366 (88,0) | 280 (76,5) | 86 (23,5) | <0,001 |
| ≥ 8 | 50 (12,0) | 49 (98,0) | 1 (2,0) | |
| Marital status | ||||
| Single | 341 (82,0) | 269 (78,9) | 72 (21,1) | |
| Married | 22 (5,3) | 16 (72,7) | 6 (27,3) | 0,003 |
| Divorced | 50 (12,0) | 44 (88,0) | 6 (12,0) | |
| Widow | 3 (0,7) | 0 | 3 (100,0) | |
| Income (minimum wage) | ||||
| No income | 21 (5,0) | 16 (76,2) | 5 (23,8) | |
| 1 to 2 | 174 (41,8) | 157 (90,2) | 17 (9,8) | <0,001 |
| 2 to 3 | 117 (28,1) | 81 (69,2) | 36 (30,8) | |
| > 4 | 104 (25,0) | 75 (72,1) | 29 (27,9) | |
| Skin color | ||||
| Black | 146 (35,1) | 120 (82,2) | 26 (17,6) | |
| Brown | 87 (20,9) | 68 (78,2) | 19 (21,8) | 0,045 |
| White | 179 (43,0) | 140 (78,2) | 39 (21,8) | |
| Yellow | 4 (1,0) | 1 (25,0) | 3 (75,0) | |
| Origin | ||||
| Capital | 323 (77,6) | 259 (80,2) | 64 (19,8) | 0,304 |
| Other | 93 (22,4) | 23 (24,7) | 70 (75,3) | |
P value = Chi-square Test;
Income (minimum wage) = The value of the minimum wage in Brazil in 2017 was R$ 937.00
Factors related to sexual behavior associated to inconsistent condom use among sex workers. Teresina, PI, Brazil, 2017
| Variables | Total n=416 | Uso do preservativo masculino | P value | |
|---|---|---|---|---|
| N (%) | Consistent n=329 | Inconsistent n=82 | ||
| Sexual practice | ||||
| Anal | 12 (2,9) | 11 (91,7) | 1 (8,3) | |
| Vaginal | 359 (93,5) | 280 (78,0) | 79 (22,0) | 0,335 |
| Anal and vaginal | 45 (3,6) | 38 (84,4) | 7 (15,6) | |
| Permanent partner | ||||
| Yes | 131 (31,5) | 120 (91,6) | 11 (8,4) | <0,001 |
| No | 284 (68,3) | 208 (73,2) | 76 (26,8) | |
| Number of clients/week | ||||
| 1 to 5 | 138 (33,2) | 113 (81,9) | 25 (18,1) | |
| 6 to 10 | 192 (46 ,2) | 147 (76,6) | 45 (23,4) | 0,575 |
| 11 to 15 | 54 (13,0) | 42 (77,8) | 12 (22,2) | |
| > 15 | 32 (7,7) | 27 (84,4) | 5 (15,0) | |
| Place of prostitution | ||||
| Squares | 168 (40,4) | 139 (82,7) | 29 (17,3) | |
| Street | 15 (3,6) | 6 (40,0) | 9 (60,0) | <0,001 |
| Bars | 193 (46,4) | 144 (74,6) | 49 (25,4) | |
| Night clubs | 40 (9,6) | 40 (100) | 0 | |
| Risk perception | ||||
| None | 50 (12,0) | 40 (80,0) | 10 (20,0) | |
| Little | 243 (58,4) | 179 (73,7) | 64 (26,3) | 0,006 |
| Big | 119 (28,6) | 106 (89,1) | 13 (10,9) | |
| HIV positive+ | 4 (1,0) | 4 (100,0) | 0 | |
| Variables related to life habits | ||||
| Use of alcohol | ||||
| No | 86 (20,7) | 80 (93,0) | 6 (7,0) | |
| Light | 23 (5,5) | 21 (91,3) | 2 (8,7) | <0,001 |
| Moderate | 150 (36,1) | 105 (70,0) | 45 (30,0) | |
| High | 157 (37,7) | 123 (78,3) | 24 (21,7) | |
| Use of illegal drugs | ||||
| Yes | 237 (57,0) | 175 (53,2) | 62 (71,3) | 0,002 |
| No | 179 (43,0) | 154(46,8) | 25 (28,7) | |
P value = Chi-square Test;
HIV = Human Immunodeficiency Virus
Result of the logistic regression analysis: independent variables associated to inconsistent male condom use among female sex workers. Teresina, PI, Brazil, 2017
| Variable | Gross Odds Ratio [95% RI | P value | Adjusted Odds Ratio [95% RI | P value |
|---|---|---|---|---|
| Schooling levels (years) | ||||
| ≤8 | 15.05 (2.05,110.59) | 0,008 | 27.28 (3.45,215.47) | 0,002 |
| Income (minimum wage) | ||||
| No income | 0.81 (0.27,2.41) | 0,702 | 0.44 (0.12,1.62) | 0,217 |
| One to two wages | 0.28 (0.14,0.54) | <0,001 | 0.23 (0.11,0.49) | <0,001 |
| Two to three wages | 1.15 (0.64,2.06) | 0,639 | 0.72 (0.37,1.43) | 0,353 |
| Permanent partner | ||||
| Yes | ||||
| No | 3.19 (1.83,5.54) | <0,001 | 2.79 (1.5,5.2) | <0,001 |
| Use of alcohol | ||||
| High use | 3.69 (1.48,9.18) | 0,005 | 5.07 (1.87,13.74) | <0,001 |
| Moderate use | 5.71 (2.32,14.06) | <0,001 | 8.2 (3.04,22.14) | <0,001 |
| Light use | 1.27 (0.24,6.75) | 0,779 | 2.17 (0.35,13.24) | 0,403 |
| Marital status | ||||
| Divorced | 0.24 (0.07,0.79) | 0,019 | 0.16 (0.04,0.62) | 0,008 |
| Single | 0.48 (0.2,1.12) | 0,089 | 0.51 (0.18,1.44) | 0,202 |
| Skin color | ||||
| Brown | 1.48 (0.78,2.83) | 0,231 | 1.89 (0.86,4.13) | 0,112 |
| Black | 1.94 (1.13,3.32) | 0,017 | 2.21 (1.17,4.18) | 0,014 |
RI = Reliability Interval;
P value = Chi-square Test;
Income (minimum wage) = The value of minimum wage in Brazil in 2017 was R$ 937.00