| Literature DB >> 24533587 |
Meizhen Liao, Dianmin Kang1, Xiaorun Tao, Catherine Cox, Yuesheng Qian, Guoyong Wang, Cui Yang, XiaoYan Zhu, Na Zhang, Zhenqiang Bi, Yujiang Jia.
Abstract
BACKGROUND: An upsurge in club drug use has been observed in recent years in some cities of China, especially methamphetamine, which is quickly replacing heroin to become the most widespread drug across the nation. This study investigated the type of drugs used, syphilis and hepatitis C virus (HCV) infection and the correlates for syphilis, HCV and unprotected commercial sex behavior among drug users in two cities along the east coast of China.Entities:
Mesh:
Year: 2014 PMID: 24533587 PMCID: PMC3936988 DOI: 10.1186/1471-2458-14-172
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 4.135
Demographic characteristics, drug use and sexual behaviors, and utilization of HIV-related prevention services among club drug users in Shandong Province, China
| 30 ± 9.1 | 32.1 ± 11.4 | 29.8 ± 10.1 | 29.9 ± 9.2 | |||||
| ≥18 | 285 | 35.4 | 27 | 9.5 | 11 | 3.9 | 72 | 49.0 |
| 25-35 | 281 | 34.9 | 20 | 7.1 | 11 | 3.9 | 62 | 44.9 |
| 35-45 | 183 | 22.7 | 21 | 11.5 | 6 | 3.3 | 57 | 54.3 |
| ≥45 | 56 | 7.0 | 9 | 16.1 | 2 | 3.6 | 20 | 60.6 |
| | | | | | | | | |
| Male | 662 | 82.2 | 52 | 7.9 | 26 | 3.9 | 176 | 37.6 |
| Female | 143 | 17.8 | 25 | 17.5 | 4 | 2.8 | 35 | 53.3 |
| | | | | | | | | |
| Single | 225 | 28.0 | 21 | 9.3 | 9 | 4.0 | 67 | 47.2 |
| Married or cohabiting | 565 | 70.2 | 52 | 9.2 | 20 | 3.5 | 139 | 51.5 |
| Divorced or widowed | 15 | 1.8 | 4 | 26.7 | 1 | 6.7 | 5 | 45.5 |
| | | | | | | | | |
| Middle school or lower | 517 | 64.2 | 49 | 9.5 | 15 | 2.9 | 179 | 58.5 |
| High school or higher | 288 | 35.8 | 28 | 9.7 | 15 | 5.2 | 32 | 27.4 |
| | | | | | | | | |
| Heroin | 26 | 3.2 | 0 | 0.0 | 3 | 11.5 | 2 | 28.6 |
| Cocaine | 1 | 0.1 | 0 | 0.0 | 0 | 0.0 | 1 | 100 |
| Opium | 0 | 0 | 0 | 0.0 | 0 | 0.0 | 0 | 0 |
| Cannabis | 4 | 0.5 | 0 | 0.0 | 0 | 0.0 | 1 | 33.3 |
| Morphine | 1 | 0.1 | 0 | 0.0 | 0 | 0.0 | 0 | 0 |
| Methamphetamine | 778 | 96.6 | 77 | 9.9 | 28 | 3.6 | 207 | 49.9 |
| Pethidine | 0 | 0 | 0 | 0.0 | 0 | 0.0 | 0 | 0 |
| Ketamine | 51 | 6.3 | 1 | 2.0 | 2 | 3.9 | 2 | 28.6 |
| MAMD | 36 | 4.5 | 0 | 0.0 | 0 | 0.0 | 1 | 20.0 |
| Amphetamine | 32 | 4.0 | 1 | 3.1 | 3 | 9.4 | 2 | 40.0 |
| | | | | | | | | |
| <2 | 709 | 88.1 | 75 | 10.6 | 25 | 3.5 | 208 | 51.0 |
| ≥2 | 96 | 11.9 | 2 | 2.1 | 5 | 5.2 | 3 | 20.0 |
| | | | | | | | | |
| Yes | 92 | 11.4 | 8 | 8.7 | 9 | 9.8 | 11 | 44.0 |
| No | 713 | 88.6 | 69 | 9.7 | 21 | 2.9 | 200 | 50.3 |
| | | | | |||||
| Yes | 558 | 98.8 | 49 | 8.8 | 20 | 3.6 | 138 | 51.9 |
| No | 7 | 1.2 | 3 | 42.9 | 0 | 0.0 | 1 | 25.0 |
| | | | ||||||
| Always | 21 | 3.8 | 0 | 0.0 | 1 | 4.8 | 0 | 0 |
| Sometimes | 120 | 21.5 | 6 | 5.0 | 2 | 1.7 | 4 | 11.4 |
| Never | 417 | 74.7 | 43 | 10.3 | 17 | 4.1 | 134 | 58.8 |
| | | | | |||||
| Yes | 41 | 7.3 | 1 | 2.4 | 1 | 2.4 | 0 | 0 |
| No | 517 | 92.7 | 49 | 8.8 | 19 | 3.7 | 138 | 54.5 |
| | | | ||||||
| Yes | 423 | 52.5 | 49 | 11.6 | 13 | 3.1 | - | - |
| No | 382 | 47.5 | 28 | 7.3 | 17 | 4.5 | - | - |
| | | | ||||||
| Always | 43 | 10.1 | 2 | 4.7 | 1 | 2.3 | - | - |
| Sometimes | 169 | 40.0 | 23 | 13.6 | 3 | 1.8 | - | - |
| Never | 211 | 49.9 | 24 | 11.4 | 3 | 1.4 | - | - |
| | | | | |||||
| Yes | 105 | 24.8 | 6 | 5.7 | 3 | 2.9 | - | - |
| No | 318 | 75.2 | 43 | 13.5 | 4 | 1.3 | - | - |
| | | | | | | | ||
| Yes | 130 | 16.1 | 14 | 10.8 | 5 | 3.8 | 29 | 34.1 |
| No | 675 | 83.9 | 63 | 9.3 | 25 | 3.7 | 182 | 53.8 |
| | | | | | | | | |
| Syphilis Positive | 77 | 9.6 | - | - | 11 | 14.3 | 24 | 56.2 |
| HCV Positive | 30 | 3.7 | 11 | 36.7 | - | - | 3 | 42.9 |
| Syphilis/HCV Negative | 709 | 88.1 | - | - | - | - | 186 | 26.2 |
| | | | | | | | | |
| Score<6 | 267 | 33.2 | 31 | 11.6 | 7 | 2.6 | 155 | 72.1 |
| Score ≥ 6 | 538 | 66.8 | 46 | 8.6 | 23 | 4.3 | 56 | 26.9 |
Subtotals do not add up to 100% for some variables because of missing values.
*Unprotected sex means no condom use with commercial sex partners in the last year.
The factor of “types of drugs” was multi-choice variables, the percentages will not add up to 100%.
Factors associated with syphilis and HCV infection among club drug users in Shandong, China
| | | | | | | | | | |
| Male | 7.9 | 1.0 | 1.0 | 3.9 | 1.0 | | 37.6 | 1.0 | 1.0 |
| Female | 17.5 | 2.5(1.5-4.2)** | 2.8(1.2-6.5)* | 2.8 | 0.7(0.2-2.0) | | 53.3 | 3.0(1.8-5.1)** | 2.9(1.7-4.9)** |
| | | | | | | | | | |
| Middle school or lower | 9.5 | 1.0 | | 2.9 | 1.0 | | 58.5 | 3.7(2.3-5.9)** | 3.4(2.0-5.5)** |
| High school or higher | 9.7 | 1.0(0.6-1.7) | | 5.2 | 1.8(0.9-3.8) | | 27.4 | 1.0 | 1.0 |
| | | | | | | | | ||
| Yes | 8.7 | 0.9(0.4-1.9) | | 9.8 | 3.6(1.6-8.1)** | 2.7(1.1-6.5)* | 44.0 | 0.8(0.4-1.7) | |
| No | 9.7 | 1.0 | | 2.9 | 1.0 | 1.0 | 50.3 | 1.0 | |
| | | | | | | ||||
| Yes | 8.8 | 0.1(0.1-0.6)** | 0.2(0.1-0.6)** | 3.6 | | | | | |
| No | 42.9 | 1.0 | | 0.0 | | | | | |
| | | | | ||||||
| Yes | 11.6 | 1.7(1.0-2.7)* | 2.0(1.0-3.9)* | 3.1 | 0.7 (0.5-1.2) | | | | |
| No | 7.3 | 1.0 | 1.0 | 4.5 | 1.0 | | | | |
| | | | | | | | |||
| Yes | 10.8 | 1.0 | | 3.8 | 1.0 | | 34.1 | 1.0 | 1.0 |
| No | 9.3 | 0.9(0.5-1.6) | | 3.7 | 1(0.4-2.6) | | 53.8 | 2.3(1.4-3.7)** | 2.1(1.2-3.6)* |
| | | | | | | | | | |
| Yes | 36.7 | 6.2(2.8-13.6)** | 12.1(4.1-20.3)** | | | | 42.9 | 0.9(0.4-1.9) | |
| No | 8.5 | 1.0 | 1.0 | | | | 45.4 | 1.0 | |
| | | | | | | | | ||
| Yes | | | | 14.3 | 6.2(2.8-13.6)** | 8.0(3.5-18.0)** | 56.2 | 3.0(1.8-5.1)** | 4.2(2.4-7.4)** |
| No | 2.6 | 1.0 | 27.9 | 1.0 | 1.0 | ||||
OR: Odds ratio; AOR: Adjusted odds ratio, controlled factors included study sites, age, sex, residency, ethnicity, education, marital status, sexual behavior, HIV-related prevention services; CI: Confidence interval; NA: Not applicable; * P < 0.05; ** P < 0.01.