| Literature DB >> 35164694 |
Kedi Jiao1, Haochu Li1, Dapeng Zhang2, Zhenxia Jiang3, Yuxi Lin1, Xueyuan Liu1, Hengmin Xu1, Xuemei Yan1, Haoqing Tang1, Wei Ma4.
Abstract
BACKGROUND: Drug users are regarded as a high-risk population for HIV infection. Non-occupational post-exposure prophylaxis (nPEP) is internationally regarded as an effective biomedical prevention against HIV but still a small-scale pilot project in China at present. The aim of this study was to understand drug users' awareness of and willingness to use nPEP service in China.Entities:
Keywords: China; Drug user; HIV/AIDS; Non-occupational post-exposure prophylaxis
Mesh:
Year: 2022 PMID: 35164694 PMCID: PMC8842954 DOI: 10.1186/s12879-022-07106-x
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic and behavioral characteristics of drug users in two cities of China (N = 401)
| Variables | Total sample a | Having heard of nPEP | Willing to use nPEP | ||||
|---|---|---|---|---|---|---|---|
| N = 401 (%) | Yes, n = 120 (%) | No, n = 277 (%) | χ2 | Yes, n = 216 (%) | No, n = 165 (%) | χ2 | |
| Age (years) | 49.094*** | 23.092*** | |||||
| ≤ 30 | 158 (39.6) | 79 (65.8) | 79 (28.7) | 110 (51.2) | 47 (28.7) | ||
| 31–40 | 96 (24.1) | 20 (16.7) | 74 (26.9) | 50 (23.2) | 41 (25.0) | ||
| > 40 | 145 (36.3) | 21 (17.5) | 122 (44.4) | 55 (25.6) | 76 (46.3) | ||
| Sex | 41.013*** | 5.887* | |||||
| Male | 237 (59.5) | 100 (83.3) | 134 (48.9) | 140 (65.1) | 86 (52.8) | ||
| Female | 161 (40.5) | 20 (16.7) | 140 (51.1) | 75 (34.9) | 77 (47.2) | ||
| Local household | 22.779*** | 7.048** | |||||
| Yes | 296 (73.8) | 69 (57.5) | 223 (80.5) | 145 (67.1) | 131 (79.4) | ||
| No | 105 (26.2) | 51 (42.5) | 54 (19.5) | 71 (32.9) | 34 (20.6) | ||
| Education level | 37.006*** | 5.363* | |||||
| Senior high school and below | 229 (59.3) | 43 (36.1) | 182 (69.2) | 112 (52.8) | 100 (64.9) | ||
| College and above | 157 (40.7) | 76 (63.9) | 81 (30.8) | 100 (47.2) | 54 (35.1) | ||
| Monthly income (CNY) | 3.258 | 11.152** | |||||
| < 1500 | 78 (19.7) | 20 (17.2) | 56 (20.4) | 30 (14.1) | 43 (26.4) | ||
| 1500–3000 | 131 (33.2) | 33 (28.5) | 97 (35.3) | 80 (37.5) | 42 (25.8) | ||
| > 3000 | 186 (47.1) | 63 (54.3) | 122 (44.4) | 103 (48.4) | 78 (47.8) | ||
| Marital status | 0.022 | < 0.001 | |||||
| Currently unmarried | 297 (75.6) | 89 (76.1) | 205 (75.4) | 161 (75.6) | 121 (75.6) | ||
| Currently married | 96 (24.4) | 28 (23.9) | 67 (24.6) | 52 (24.4) | 39 (24.4) | ||
| AIDS knowledge score | 22.213*** | 58.672*** | |||||
| 0–5 | 161 (40.6) | 27 (22.9) | 133 (48.4) | 51 (23.6) | 101 (62.7) | ||
| 6–8 | 236 (59.4) | 91 (77.1) | 142 (51.6) | 165 (76.4) | 60 (37.3) | ||
| Utilization of HIV prevention services in the past year | 0.245 | 2.779 | |||||
| 0–1 | 95 (23.9) | 26 (22.2) | 68 (24.5) | 45 (20.8) | 46 (28.2) | ||
| 2–3 | 303 (76.1) | 91 (77.8) | 209 (75.5) | 171 (79.2) | 117 (71.8) | ||
| Ever use multiple drugs | 1.157 | 0.006 | |||||
| Yes | 114 (28.5) | 39 (32.5) | 75 (27.2) | 62 (28.8) | 47 (28.5) | ||
| No | 286 (71.5) | 81 (67.5) | 201 (72.8) | 153 (71.2) | 118 (71.5) | ||
| Drug use in the past 3 months | 21.988*** | 9.156* | |||||
| Never | 152 (38.9) | 28 (23.9) | 120 (44.4) | 81 (38.6) | 54 (32.9) | ||
| Occasionally | 120 (30.7) | 35 (29.9) | 85 (31.5) | 54 (25.7) | 66 (40.3) | ||
| More than once a month | 119 (30.4) | 54 (46.2) | 65 (24.1) | 75 (35.7) | 44 (26.8) | ||
| Condomless sex after using drugs in the past year | 17.546*** | 9.069** | |||||
| Yes | 142 (35.4) | 61 (51.3) | 81 (29.2) | 94 (43.5) | 47 (28.5) | ||
| No | 257 (64.6) | 58 (48.7) | 196 (70.8) | 122 (56.5) | 118 (71.5) | ||
| Condomless group sex after using drugs in the past year | 7.405** | 8.344** | |||||
| Yes | 55 (13.8) | 25 (21.2) | 30 (10.8) | 41 (19.0) | 14 (8.5) | ||
| No | 343 (86.2) | 93 (78.8) | 247 (89.2) | 175 (81.0) | 151 (91.5) | ||
| Alcohol use in the past 3 months | 3.388 | 29.328*** | |||||
| Yes | 262 (65.8) | 71 (59.7) | 191 (69.2) | 121 (56.0) | 135 (82.3) | ||
| No | 136 (34.2) | 48 (40.3) | 85 (30.8) | 95 (44.0) | 29 (17.7) | ||
| HIV risk perception | 38.703*** | 46.866*** | |||||
| Not serious or have no idea | 215 (53.6) | 39 (32.5) | 175 (63.2) | 99 (45.8) | 103 (62.4) | ||
| Moderate | 116 (28.9) | 58 (48.3) | 55 (19.8) | 92 (42.6) | 19 (11.5) | ||
| Serious | 70 (17.5) | 23 (19.2) | 47 (17.0) | 25 (11.6) | 43 (26.1) | ||
| Having heard of nPEP | NA | 45.059*** | |||||
| Yes | 120 (30.2) | NA | NA | 95 (44.0) | 20 (12.1) | ||
| No | 277 (69.8) | NA | NA | 121 (56.0) | 145 (87.9) | ||
nPEP, non-occupational post-exposure prophylaxis; CNY, Chinese Yuan (1 CNY = 0.14 USD); NA, not appliacable
a The total sample size was 401. Due to participant choice to refrain from answering some questions, denominators can vary from 401
* P < 0.05
** P < 0.01
*** P < 0.001
Fig. 1Multivariate logistic regression of factors associated with awareness of nPEP among drug users in China. AOR, adjusted odds ratio; CI, confidence interval; nPEP, non-occupational post-exposure prophylaxis
Fig. 2Multivariate logistic regression of factors associated with willingness to nPEP among drug users in China. AOR, adjusted odds ratio; CI, confidence interval; CNY, Chinese Yuan (1 CNY = 0.14 USD); nPEP, non-occupational post-exposure prophylaxis
Socio-demographic characteristics of in-depth interview participants (N = 19)
| Characteristics | Number (%) |
|---|---|
| Age (years) | |
| ≤ 30 | 8 (42.1) |
| 31–49 | 6 (31.6) |
| ≥ 50 | 5 (26.3) |
| Sex | |
| Male | 14 (73.7) |
| Female | 5 (26.3) |
| Education level | |
| High school and below | 9 (47.4) |
| College and above | 10 (52.6) |
| Occupation | |
| Employed | 16 (84.2) |
| Unemployed | 3 (15.8) |
| Monthly income (CNY) | |
| < 5000 | 11 (57.9) |
| ≥ 5000 | 8 (42.1) |
| Marital status | |
| Married | 4 (21.0) |
| Divorced | 3 (15.8) |
| Never married | 12 (63.2) |
CNY, Chinese Yuan (1 CNY = 0,14 USD)