Table 1.
Characteristics of female sex workers living with HIV by site of recruitment in Cameroon, 2015–2016 (n = 481)
| Overall n = 481 |
Yaoundé n = 120 |
Douala n = 122 |
Bertoua n = 61 |
Bamenda n = 101 |
Kribi n = 77 |
p-value | |
|---|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
| ANC attendance at last pregnancy | < 0.001 | ||||||
| No, did not attend | 75 (15.6%) | 20 (16.7%) | 35 (28.7%) | 4 (6.6%) | 3 (3.0%) | 13 (16.9%) | |
| Attended | 406 (84.4%) | 100 (83.3%) | 87 (71.3%) | 57 (93.4%) | 98 (97.0%) | 64 (83.1%) | |
| Age, years | |||||||
| 18–24 | 43 (8.9%) | 6 (5.0%) | 6 (4.9%) | 15 (24.6%) | 6 (5.9%) | 10 (13.0%) | < 0.001 |
| 25–34 | 182 (37.9%) | 46 (38.3%) | 39 (32.0%) | 28 (45.9%) | 29 (28.7%) | 40 (52.0%) | |
| 35+ | 256 (53.2%) | 68 (56.7%) | 77 (63.1%) | 18 (29.5%) | 66 (65.4%) | 27 (35.0%) | |
| Education completeda | |||||||
| Primary or less | 217 (45.2%) | 38 (31.7%) | 60 (49.2%) | 22 (36.7%) | 68 (67.3%) | 29 (37.7%) | < 0.001 |
| Some secondary | 237 (49.4%) | 74 (61.7%) | 57 (46.7%) | 36 (60.0%) | 25 (24.8%) | 25 (58.4%) | |
| Secondary or more | 26 (5.4%) | 8 (6.6%) | 5 (4.1%) | 2 (3.3%) | 8 (7.9%) | 3 (3.9%) | |
| Monthly income | |||||||
| ≤ 100,000 XAF | 329 (68.4%) | 87 (72.5%) | 47 (38.5%) | 39 (63.9%) | 99 (98.0%) | 57 (74.0%) | < 0.001 |
| > 100,000 XAF | 152 (31.6%) | 33 (27.5%) | 75 (61.5%) | 22 (36.1%) | 2 (2.0%) | 20 (26.0%) | |
| Years selling sex | |||||||
| 0–2 years | 109 (22.7%) | 24 (20.0%) | 24 (19.6%) | 21 (34.4%) | 10 (9.9%) | 30 (39.0%) | < 0.001 |
| 3–9 years | 228 (47.4%) | 60 (50.0%) | 70 (57.4%) | 20 (47.5%) | 35 (34.7%) | 34 (44.1%) | |
| 10+ years | 144 (29.9%) | 36 (30.0%) | 28 (23.0%) | 11 (18.0%) | 56 (55.4%) | 13 (16.9%) | |
| Awareness of HIV status | |||||||
| No awareness of status | 230 (47.8%) | 56 (46.7%) | 49 (40.2%) | 36 (59.0%) | 34 (33.7%) | 55 (71.4%) | < 0.001 |
| Aware of status | 251 (52.2%) | 64 (53.3%) | 73 (59.8%) | 25 (41.0%) | 67 (66.3%) | 22 (28.6%) | |
| Number of living children | |||||||
| One | 132 (27.4%) | 28 (23.3%) | 43 (35.3%) | 13 (21.3%) | 21 (20.8%) | 27 (35.0%) | 0.02 |
| Two | 145 (30.2%) | 47 (39.2%) | 28 (23.0%) | 19 (31.2%) | 27 (26.7%) | 24 (31.2%) | |
| More than two | 204 (42.4%) | 45 (37.5%) | 51 (41.7%) | 29 (47.5%) | 53 (52.5%) | 26 (33.8%) | |
| Future pregnancy intentions | |||||||
| None | 267 (55.5%) | 55 (45.8%) | 81 (66.4%) | 36 (59.0%) | 68 (67.3%) | 27 (35.1%) | < 0.001 |
| Want more children | 214 (44.5%) | 65 (54.2%) | 41 (33.6%) | 25 (41.0%) | 33 (32.7%) | 50 (64.9%) | |
| Network sizeb | |||||||
| Mean | 13.4 | 14.4 | 20.3 | 13.8 | 9.7 | 5.3 | < 0.001 |
| Standard deviation | 22.3 | 25.5 | 29.7 | 19.8 | 12.5 | 6.3 | |
aData missing on education (n = 1). Bolded results represent results that are statistically significant at least at the p < 0.05 level
bSignificant differences calculated using Bartlett’s test for equal variances. To get at network size, women were asked “how many female sex workers have you met in the past week?”