| Literature DB >> 36174015 |
Louise Mutricy-Hureau1, Amandine Pisoni2, Martha Suarez-Mutis3, Amanda Figueira da Silva3, Yann Lambert1, Pauline Mespoulhe4, Audrey Godin1, Marie-Claire Parriault1, Astrid Van Melle1, Emilie Mosnier5,6, Mélanie Gaillet7, Céline Michaud7, Roxane Schaub1, Muriel Galindo1, Antoine Adenis1,8, Mathieu Nacher1,8, Stephen Vreden9, Edouard Tuaillon2, Maylis Douine1,8.
Abstract
OBJECTIVES: Common representations of the world of gold mining-especially illegal-are usually negative: the activity conjures up images of drug trafficking, human exploitation, the sex trade, environmental destruction, and infectious diseases, in particular sexually transmitted infections (STIs). The aim of the present article is to describe the levels of risk behaviors such as transactional sex, multiple sexual partners, and the frequency of condom use, addictive substance consumption, and the prevalence of STIs among the population of illegal gold miners in French Guiana (FG), a French overseas entity in Amazonia, in order to guide potential interventions.Entities:
Mesh:
Substances:
Year: 2022 PMID: 36174015 PMCID: PMC9522014 DOI: 10.1371/journal.pone.0272932
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Description of the cross-sectional study population, October-December 2019.
| n (%) | |||
|---|---|---|---|
|
| |||
|
| Median age [IQR] | 39 [30–48] | |
| < = 29 yo | 113 (22.7) | ||
| 30–44 yo | 213(42.7) | ||
| > = 45 yo | 171 (34.4) | ||
|
|
| Women | 124 (24.8) |
| Men | 375 (75.2) | ||
|
|
| None or primary | 214 (43.0) |
| Secondary | 273 (54.8) | ||
| Superior | 11 (2.2) | ||
|
|
| Other than Brazil | 17 (3.4) |
| Brazil | 482 (96.6) | ||
|
|
| Maroni river | 380 (76.2) |
| Oiapoque river | 119 (23.8) | ||
|
| |||
|
|
| ≤ 5 years | 172 (34.5) |
| 6–10 years | 109 (21.8) | ||
| 11–15 years | 66 (13.3) | ||
| > 15 years | 151 (30.4) | ||
|
|
| Median time in years [IQR] | 0.4 [0.2–1.3] |
|
|
| <2 hours | 31 (6.3) |
| 2 hours to half day | 125 (25.4) | ||
| 1 day | 121 (24.6) | ||
| > 1 day | 176 (35.8) | ||
| Do not know | 39 (7.9) | ||
|
|
| Non-mobile activity | 401 (80.4) |
| Mobile activity | 95 (19.0) | ||
| Do not know | 3 (0.6) | ||
|
|
| < = 3 | 365 (73.2) |
| >3 | 134 (26.8) | ||
|
|
| Median [IQR] | 3 [ |
|
| |||
|
| Median [IQR] | 1 [ | |
|
| 0 partner | 19 (3.8) | |
|
| 1 partner | 241 (48.8) | |
| 2 à 5 partners | 120 (24.3) | ||
| > = 6 partners | 99 (20.0) | ||
|
| do not know/ do not want to answer | 15 (3.0) | |
|
|
| No | 206 (41.3) |
| Yes | 279 (55.9) | ||
| Do not want to answer | 15 (2.8) | ||
|
|
| No | 85 (31.6) |
| Yes | 176 (65.4) | ||
| Do not want to answer | 8 (3.0) | ||
|
|
| Median price in euros [IQR] | 1 [0.7–1.7] |
| Min-max | 0.1–40 | ||
|
|
| Payment given | 111 (22.2) |
| Payment received | 11 (2.2) | ||
| No transaction | 331 (66.3) | ||
| Do not want to answer | 30 (6) | ||
| Missing data/ do not know | 16 (3.2) | ||
|
|
| No | 170 (34.1) |
| Yes | 320 (64.1) | ||
| Do not know | 5 (1.0) | ||
| Do not want to answer | 3 (0.6) | ||
| Missing data | 1 (0.2) | ||
|
|
| within the past 12 months | 116 (36.8) |
| 12 to 24 months ago | 97 (30.8) | ||
| more than 24 months ago | 102 (32.4) | ||
|
|
| Positive | 0 (0) |
| Negative | 313 (97.8) | ||
| Do not know | 7 (2.2) | ||
|
| |||
|
|
| No | 290 (58.8) |
| Yes | 203 (41.2) | ||
|
|
| No | 205 (42.7) |
| Yes | 275 (57.3) | ||
|
|
| No | 482 (98.8) |
| Yes | 6 (1.2) | ||
Sexual and addictive behavior according to gender (N = 499).
| Women | Men | p | |||
|---|---|---|---|---|---|
|
|
|
|
| ||
|
|
| < = 29 yo | 27 (23,9) | 86 (76,1) |
|
| 30–44 yo | 65 (30,5) | 148 (69,5) | |||
| > = 45 yo | 31 (18,1) | 140 (81,9) | |||
|
| Women | 32 (14,9) | 182 (85,1) |
| |
| Men | 92 (32,4) | 192 (67,6) | |||
|
| None or primary | 9 (52,9) | 8 (47,1) |
| |
| Secondary or superior | 115 (23,9) | 367 (76,1) | |||
|
| Other than Brazil | 102 (26,8) | 278 (73,2) | 0,066 | |
| Brazil | 22 (18,5) | 97 (81,5) | |||
|
|
|
|
| ||
|
| 0 or 1 partner | 97 (37,3] | 163 (62,7) |
| |
| 2 to 5 partners | 19 (15,8) | 101 (84,2) | |||
| > = 6 partners | 4 (4,0) | 95 (96,0) | |||
| No | 78 (37,9) | 128 (62,1) |
| ||
| Yes | 43 (15,4) | 236 (84,6) | |||
|
| No | 13 (14,8) | 75 (85,2) | 0,127 | |
| Yes | 27 (14,8) | 155 (85,2) | |||
| Do not know/ do not want to answer | 2 (22,2) | 7 (77,8) | |||
|
| No | 10 (5,9) | 160 (94,1) |
| |
| Yes | 113 (35,3) | 207 (64,7) | |||
|
| within the past 12 months | 49 (42,2) | 67 (57,8) |
| |
| 12 to 24 months ago | 39 (40,2) | 58 (59,8) | |||
| more than 24 months ago | 25 (24,5) | 77 (75,5) | |||
|
| Payment given | 0 (0) | 111 (100) |
| |
| Payment received | 10 (90,9) | 1 (9,1) | |||
| No transaction | 109 (32,9) | 222 (67,1) | |||
| Do not want to answer | 2 (6,7) | 28 (93,3) | |||
| Missing data/do not know | 3 (18,7) | 13 (81,3) | |||
|
| No | 82 (25.8) | 236 (74.2) |
| |
| Yes | 20 (32.3) | 42 (67.7) | |||
|
| |||||
|
|
| No | 76 (26,2) | 214 (73,8) | 0,248 |
| Yes | 44 (21,7) | 159 (78,3) | |||
|
| No | 54 (26.3) | 151 (73.7) | 0.440 | |
| Yes | 64 (23.3) | 211 (76.7) | |||
|
| No | 121 (25,1) | 361 (74,9) | 0,533 | |
| Yes | 1 (16,7) | 5 (83,3) | |||
* standard tests (chi2, fischer, student).
** in bold: Significant variables.
Factors associated with condom use during the last sexual intercourse (N = 485).
| No condom use | Condom use | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|---|
| OR | p | AOR | |||||
|
|
| ||||||
|
|
| < = 29 yo | 38 (34.2) | 73 (65.8) | 1 |
| 1 |
| 30–44 yo | 103 (49.5) | 105 (50.5) | 0.5 [0.3–0.9] | 0.5 [0.3–0.9] | |||
| > = 45 yo | 65 (39.6) | 99 (60.4) | 0.8 [0.5–1.3] | 0.5 [0.3–1.0] | |||
|
|
| Women | 78 (64.5) | 43 (35.5) | 1 |
| 1 |
| Men | 128 (35.2) | 236 (64.8) | 3.3 [2.2–5.1] | 1.8 [1.1–3.0] | |||
|
|
| None or primary | 81 (39.5) | 124 (60.5) | 1 | 0.259 | |
| Secondary or superior | 125 (44.6) | 155 (55.4) | 0.8 [0.6–1.2] | ||||
|
|
| Other than Brazil | 11 (68.7) | 5 (31.3) | 1 |
| |
| Brazil | 195 (41.6) | 274 (58.4) | 3.0 [1.1–9] | ||||
|
|
| ||||||
|
|
| < = 10 years | 116 (42.6) | 156 (57.4) | 1 | 0.966 | |
| >10 years | 90 (42.5) | 122 (57.5) | 1.0 [1.0–1.0] | ||||
|
|
| < = 6 months | 115 (41.5) | 162 (58.5) | 1 | 0.507 | |
| > 6 months | 90 (44.6) | 112 (55.4) | 1.0 [1.0–1.0] | ||||
|
|
| < = 1 day | 72 (46.5) | 83 (53.5) | 1 | 0.437 | |
| > 1 day | 114 (40.1) | 170 (59.9) | 1.3 [0.9–1.9] | ||||
| do not know | 17 (43.6) | 22 (56.4) | 1.1 [0.6–2.3] | ||||
|
|
| Non-mobile activity | 165 (42.3) | 225 (57.7) | 1 | 0.694 | |
| Mobile activity | 41 (44.6) | 51 (55.4) | 0.9 [0.6–1.4] | ||||
|
|
| < = 3 | 154 (43.8) | 198 (56.2) | 1 | 0.355 | |
| >3 | 52 (39.1) | 81 (60.9) | 1.0 [1.0–1.0] | ||||
|
|
| < = 4 | 134 (42.3) | 183 (57.7) | 1 | 0.715 | |
| >4 | 70 (44.0) | 89 (56.0) | 1.0 [1.0–1.0] | ||||
|
| |||||||
|
| 0 or 1 partner | 155 (61.3) | 98 (38.7) | 1 |
| 1 | |
| More than 1 partner | 46 (21) | 173 (79) | 5.9 [3.9–9.0] | 2.4 [1.5–4.0] | |||
|
|
| No transaction | 191 (57.9) | 139 (42.1) | 1 |
| 1 |
| Payment given or received | 8 (6.6) | 114 (93.4) | 19.6 [9.3–41.4] | 12.6 [5.4–29.2] | |||
| Do not want to answer/missing data | 7 (21.2) | 26 (78.8) | 5.1 [2.1–12.1] | 3.3 [1.2–9.3] | |||
|
|
| No | 63 (37.7) | 104 (62.3) | 1 |
| |
| Yes | 140 (45.0) | 171 (55.0) | 0.7 [0.5–1.1] | ||||
|
|
| ||||||
|
|
| No | 130 (45.6) | 155 (54.4) | 1 |
| |
| Yes | 72 (37.1) | 122 (62.9) | 1.4 [1–2.1] | ||||
|
|
| No | 96 (47.8) | 105 (52.2) | 1 |
| |
| Yes | 101 (38.1) | 164 (61.9) | 1.5 [1.0–2.2] | ||||
|
|
| No | 200 (42.5) | 271 (57.5) | 1 | 0.364 | |
| Yes | 3 (60) | 2 (40) | 0.5 [0.08–3.0] | ||||
a Odds-ratio.
b Adjusted Odds-Ratio after logistic regression.
c Goodness-of-fit of the model (Hosmer-Lemeshow) = 0.832.
d in bold: Variables included in the multivariate analysis.
Factors associated with transactional sex (univariate and multivariate analysis) (N = 453).
| No transaction | Transaction | Univariate analysis | Multivariate analysis | ||||
|---|---|---|---|---|---|---|---|
| OR | p | AOR | |||||
|
|
| ||||||
|
|
| < = 29 yo | 78 (78.8) | 21 (21.2) | 1 |
| 1 |
| 30–44 yo | 154 (79.4) | 40 (20.6) | 1 [0.5–1.7] | 1.3 [0.6–2.8] | |||
| > = 45 yo | 98 (62.0) | 60 (40.0) | 2.3 [1.3–4.1] | 3.3 [1.5–7.0] | |||
|
| Women | 109 (91.6) | 10 (8.4) | 1 |
| 1 | |
| Men | 222 (66.5) | 112 (33.5) | 5.5 [2.8–10.9] | 2.5 [1.0–6,4] | |||
|
| None or primary | 121 (65.4) | 64 (34.6) | 1 |
| ||
| Secondary or superior | 210 (78.4) | 58 (21.6) | 0.5 [0.3–0.8] | ||||
|
| Other than Brazil | 14 (87.5) | 2 (12.5) | 1 |
| ||
| Brazil | 317 (72.5) | 120 (27.5) | 2.6 [0.6–11.8] | ||||
|
| Maroni river | 267 (70.8) | 110 (29.2) | 1 |
| ||
| Oiapoque river | 64 (84.2) | 12 (15.8) | 0.5 [0.2–0.9] | ||||
|
|
| ||||||
|
|
| < = 10 years | 193 (76.3) | 60 (23.7) | 1 |
| |
| >10 years | 138 (69.4) | 61 (30.6) | 1 [1–1] | ||||
|
| < = 6 months | 194 (72.9) | 72 (27.1) | 1 | 0.898 | ||
| > 6 months | 133 (73.5) | 48 (26.5) | 1.0 [1.0–1.0] | ||||
|
| < = 1 day | 102 (67.1) | 50 (32.9) | 1 |
| ||
| > 1 day | 196 (76.6) | 60 (23.4) | 0.6 [0.4–1] | ||||
| do not know | 29 (76.3) | 9 (23.7) | 0.6 [0.3–0.7] | ||||
|
| Non-mobile activity | 264 (71.9) | 103 (28.1) | 1 |
| ||
| Mobile activity | 66 (79.5) | 17 (20.5) | 0.7 [0.4–1.2] | ||||
|
| < = 3 | 244 (74.4) | 84 (25.6) | 1 | 0.308 | ||
| >3 | 87 (69.6) | 38 (30.4) | 1.0 [1.0–1.0] | ||||
|
| < = 4 | 217 (73.3) | 79 (26.7) | 1 | 0.907 | ||
| >4 | 110 (73.8) | 39 (26.2) | 1.0 [1.0–1.0] | ||||
|
| |||||||
|
|
| 0 or 1 partner | 225 (92.6) | 18 (7.4) | 1 |
| 1 |
| More than 1 partner | 97 (49.2) | 100 (50.8) | 12.9 [7.4–22.5] | 7.5 [4.0–14.1] | |||
|
| No | 191 (96.0) | 8 (4.0) | 1 |
| 1 | |
| Yes | 139 (54.9) | 114 (45.1) | 19.6 [9.3–41.4] | 10.5 [4.7–23.4] | |||
|
| No | 107 (72.3) | 41 (27.7) | 1 | 0.66 | ||
| Yes | 222 (74.3) | 77 (25.7) | 0.9 [0.6–1.4] | ||||
|
| No | 224 (70.9) | 92 (29.1) | 1 | 0.95 | ||
| Yes | 43 (70.5) | 18 (29.5) | 1.0 [0.6–1.8] | ||||
|
| |||||||
|
|
| No | 204 (75.3) | 67 (24.7) | 1 |
| |
| Yes | 123 (69.1) | 55 (30.9) | 1.3 [0.9–2.1] | ||||
|
| No | 150 (76.1) | 47 (23.9) | 1 |
| ||
| Yes | 165 (68.8) | 75 (31.2) | 1.5 [0.9–2.2] | ||||
|
| No | 323 (73.1) | 119 (26.9) | 1 | 0.411 | ||
| Yes | 3 (60.0) | 2 (40.0) | 1.8 [0.3–11.0] | ||||
a Odds-ratio.
b Adjusted Odds-Ratio after logistic regression.
c Goodness-of-fit of the model (Hosmer-Lemeshow) = 0.940.
d in bold: Variables included in the multivariate analysis.
e This difference between persons included on the Maroni river and on the Oiapoque river maybe explained by a difference in the way the respective teams on either borders asked the related questions since 24.4% of the respondents did not want to answer on the Oiapoque river compared with only 0.2% on the Maroni river.
Fig 1Previous HIV test among the study population and the French Guianese population by sex and age.
Fig 2Prevalence of HBC, HCV, HIV, and syphilis among illegal gold miners working in French Guiana in 2015 and 2019.