| Literature DB >> 34983422 |
Xing Ye1, Fu-Rong Li1, Qing Pan1, Zhen Li1, Gong-Qi Yu1, Hong Liu1, Jian Liu1, Peng-Cheng Huai2, Fu-Ren Zhang1.
Abstract
BACKGROUND: The reported incidence of sexually transmitted infections (STIs) in China has been increasing over the last decades, especially among drug users, which has become one of the main burdens of public health in China. This study was conducted to estimate the prevalence and associated factors of STIs among non-injecting methamphetamine (MA) users in Eastern China.Entities:
Keywords: Associated factors; Methamphetamine; Prevalence; STIs
Mesh:
Substances:
Year: 2022 PMID: 34983422 PMCID: PMC8725376 DOI: 10.1186/s12879-021-06987-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Demographic, behavioral characteristics, and perception of sexual health knowledge among MA users in Shandong, China
| Variable | Proportion infected by STIs | χ2 | COR (95% CI) | ||
|---|---|---|---|---|---|
| n/N | n/N% | ||||
| 1. Demographic characteristics | |||||
| Gender | |||||
| Male | 181/464 | 39.01 | 86.80 | < 0.01 | Ref |
| Female | 136/168 | 80.95 | 6.65 (4.33–10.19) | ||
| Age (years) | |||||
| < 35 | 171/385 | 44.42 | 12.99 | < 0.01 | Ref |
| ≥ 35 | 146/247 | 59.11 | 1.81 (1.31–2.50) | ||
| Education | |||||
| Below primary school | 38/54 | 70.37 | 8.63* | < 0.01 | Ref |
| Primary school | 41/80 | 51.25 | 0.44 (0.21–0.92) | ||
| Middle school | 134/266 | 50.38 | 0.43 (0.23–0.80) | ||
| High/technical school | 83/185 | 44.86 | 0.34 (0.18–0.66) | ||
| College or above | 21/47 | 44.68 | 0.34 (0.15–0.77) | ||
| Marital status | |||||
| Married | 136/258 | 52.71 | 1.14 | 0.29 | Ref |
| Single/divorced/widowed | 181/374 | 48.40 | 0.84 (0.61–1.16) | ||
| Ethnicity | |||||
| Han | 294/592 | 49.66 | 0.92 | 0.34 | Ref |
| Others | 23/40 | 57.50 | 1.37 (0.72–2.62) | ||
| Employment | |||||
| Self-employed | 113/232 | 48.71 | 0.31 | 0.58 | Ref |
| Others | 204/400 | 51.00 | 1.10 (0.79–1.52) | ||
| Household registration | |||||
| Shandong Province | 261/546 | 47.80 | 8.91 | < 0.01 | Ref |
| Non-Shandong Province | 56/86 | 65.12 | 2.04 (1.27–3.28) | ||
| How many MA users have you been acquainted with? | |||||
| < 10 persons | 161/344 | 46.80 | 3.40 | 0.07 | Ref |
| ≥ 10 persons | 156/288 | 54.17 | 1.34 (0.98–1.84) | ||
| 2. Sexual behaviors | |||||
| Primary sexual partner during MA use | |||||
| Regular partner | 199/365 | 54.52 | 7.92 | 0.02 | Ref |
| Commercial sexual partner | 30/59 | 50.85 | 0.86 (0.50–1.50) | ||
| Casual partner | 88/208 | 42.31 | 0.61 (0.43–0.86) | ||
| Whether had sex with multiple sexual partners during MA use? | |||||
| No | 207/418 | 49.52 | 0.20 | 0.65 | Ref |
| Yes | 110/214 | 51.40 | 1.08 (0.78–1.50) | ||
| Condom use in sex with multiple sexual partners during MA usea | |||||
| Always | 16/43 | 37.21 | 5.31 | 0.07 | Ref |
| Usually | 67/127 | 52.76 | 1.88 (0.93–3.83) | ||
| Never | 27/44 | 61.36 | 2.68 (1.13–6.37) | ||
| Whether changed condom when exchanging sex partners?b | |||||
| Always | 46/98 | 46.94 | – | 0.67 | Ref |
| Usually | 32/64 | 50.00 | 1.13 (0.60–2.12) | ||
| Never | 5/8 | 62.50 | 1.88 (0.43–8.32) | ||
| Whether had sex with FSWs during MA use?c | |||||
| No | 78/216 | 36.11 | 1.43 | 0.23 | Ref |
| Yes | 103/248 | 41.53 | 1.26 (0.86–1.83) | ||
| Whether exchanged sex for drugs or money?d | |||||
| No | 84/103 | 81.55 | 0.06 | 0.80 | Ref |
| Yes | 52/65 | 80.00 | 0.91 (0.41–1.99) | ||
| Condom use in sex with commercial sexual partner during MA usee | |||||
| Always | 73/158 | 46.20 | 1.72 | 0.19 | Ref |
| Never or usually | 80/149 | 53.69 | 1.35 (0.86–2.12) | ||
| Whether had sex with MSM during MA use?c | |||||
| No | 165/427 | 38.64 | 0.30 | 0.58 | Ref |
| Yes | 16/37 | 43.24 | 1.21 (0.61–2.39) | ||
| Condom use in sex with MSM during MA usef | |||||
| Always | 5/8 | 62.50 | – | 0.25 | Ref |
| Never or usually | 11/29 | 37.93 | 0.37 (0.07–1.85) | ||
| Impact of duration of sexual episodes during MA use | |||||
| No change | 83/128 | 64.84 | 17.08 | < 0.01 | Ref |
| Decrease | 18/52 | 34.62 | 0.29 (0.15–0.57) | ||
| Increase | 216/452 | 47.79 | 0.50 (0.33–0.75) | ||
| Whether regular sex partners know of your behavior of MA use? | |||||
| Yes | 180/320 | 56.25 | 9.62 | < 0.01 | Ref |
| No | 137/312 | 43.91 | 0.61 (0.45–0.83) | ||
| Whether regular sex partners use drugs? | |||||
| Yes | 129/177 | 72.88 | 50.78 | < 0.01 | Ref |
| No | 188/455 | 41.32 | 0.26 (0.18–0.38) | ||
| 3. Behaviors of MA use | |||||
| Reason for first MA use | |||||
| Curiosity | 191/400 | 47.75 | 11.17 | 0.05 | Ref |
| Excitement and fashion | 43/96 | 44.79 | 0.88 (0.57–1.39) | ||
| Deceived | 28/51 | 54.90 | 1.33 (0.74–2.39) | ||
| Influenced by relatives and friends | 16/26 | 61.54 | 1.75 (0.78–3.95) | ||
| Heavy stress of life | 23/38 | 60.53 | 1.68 (0.85–3.31) | ||
| Others | 16/21 | 76.19 | 3.50 (1.26–9.74) | ||
| Frequency of MA use per week | |||||
| ≥ 1 time | 218/427 | 51.05 | 0.42 | 0.52 | Ref |
| < 1 time | 99/205 | 48.29 | 0.90 (0.64–1.25) | ||
| Primary site for MA use | |||||
| At own or friends’ home | 242/456 | 53.07 | 5.55 | 0.02 | Ref |
| Hotels, dance halls, etc | 75/176 | 42.61 | 0.66 (0.46–0.93) | ||
| Whether have ever been infected with HIV? | |||||
| Yes | 7/8 | 87.50 | 4.52 | 0.03 | Ref |
| No | 310/624 | 49.68 | 0.14 (0.02–1.15) | ||
| 4. Perception of sexual health knowledge | |||||
| Whether had a clear understanding of the routes of transmission of STIs? | |||||
| Yes | 154/270 | 57.04 | 8.92 | < 0.01 | Ref |
| No | 163/362 | 45.03 | 0.62 (0.45–0.85) | ||
| Whether it is possible for babies born to women with STIs to have STIs? | |||||
| Yes | 237/424 | 55.90 | 16.97 | < 0.01 | Ref |
| No | 80/208 | 38.46 | 0.49 (0.35–0.69) | ||
| Whether believed that STIs increase the risk of HIV transmission? | |||||
| Yes | 211/401 | 52.62 | 2.66 | 0.10 | Ref |
| No | 106/231 | 45.89 | 0.76 (0.55–1.06) | ||
| Whether acquired sexual health knowledge primarily from television or broadcasts? | |||||
| No | 151/294 | 51.36 | 0.32 | 0.57 | Ref |
| Yes | 166/338 | 49.11 | 0.91 (0.67–1.25) | ||
| Whether acquired sexual health knowledge primarily from newspapers or books? | |||||
| No | 151/295 | 51.19 | 0.23 | 0.63 | Ref |
| Yes | 166/337 | 49.26 | 0.93 (0.68–1.27) | ||
| Whether acquired sexual health knowledge primarily from medical personnel? | |||||
| No | 210/439 | 47.84 | 3.10 | 0.08 | Ref |
| Yes | 107/193 | 55.44 | 1.36 (0.97–1.91) | ||
| Whether acquired sexual health knowledge primarily from health publicity materials? | |||||
| No | 200/375 | 53.33 | 3.72 | 0.05 | Ref |
| Yes | 117/257 | 45.53 | 0.73 (0.53–1.01) | ||
| Whether acquired sexual health knowledge primarily from family? | |||||
| No | 281/578 | 48.62 | 6.44 | 0.01 | Ref |
| Yes | 36/54 | 66.67 | 2.11 (1.17–3.81) | ||
| Whether acquired sexual health knowledge primarily from friends? | |||||
| No | 232/464 | 50.00 | 0.02 | 0.89 | Ref |
| Yes | 85/168 | 50.60 | 1.02 (0.72–1.46) | ||
| Whether acquired sexual health knowledge primarily from school education? | |||||
| No | 259/515 | 50.29 | 0.02 | 0.89 | Ref |
| Yes | 58/117 | 49.57 | 0.97 (0.65–1.45) | ||
| Whether acquired sexual health knowledge primarily from the Internet? | |||||
| No | 208/369 | 56.37 | 13.68 | < 0.01 | Ref |
| Yes | 109/263 | 41.44 | 0.55 (0.40–0.76) | ||
MA methamphetamine, STIs sexually transmitted infections, HIV human immunodeficiency virus, COR crude odds ratio, FSWs female sex workers, MSM men who have sex with men
*Mantel–Haenszel χ2
aOnly for those who have had sex with multiple sexual partners during MA use, n = 214
bOnly for those who use condoms when they had sex with multiple sexual partners during MA use, n = 170
cOnly males, n = 464
dOnly females, n = 168
eOnly for those who have had sex with commercial sexual partner during MA use, n = 307
fOnly for those who have had sex with MSM during MA use, n = 37
Prevalence of STIs among MA users in Shandong, China
| Male | Female | n | Prevalence (%)a | 95% CI | |
|---|---|---|---|---|---|
| STIs | 181 | 136 | 317 | 50.16 | 46.26–54.06 |
| HSV-2 | 124 | 118 | 242 | 38.29 | 34.50–42.08 |
| Syphilis | 86 | 67 | 153 | 24.21 | 20.87–27.55 |
| Active (TPPA+ and TRUST+) | 55 | 52 | 107 | 16.93 | 14.01–19.85 |
| Treated (TPPA+ and TRUST−) | 31 | 15 | 46 | 7.28 | 5.25–9.31 |
| CT | 23 | 17 | 40 | 6.33 | 4.43–8.23 |
| HIV | 0 | 6 | 6 | 0.95 | 0.19–1.71 |
| NG | 1 | 2 | 3 | 0.47 | 0.06–1.00 |
| Co-infection | 52 | 61 | 113 | 17.88 | 14.89–20.87 |
| 2 kinds of STIs | 51 | 48 | 99 | 15.66 | 12.83–18.49 |
| HSV-2 and syphilis | 48 | 43 | 91 | 14.40 | 11.66–17.14 |
| HSV-2 and CT | 3 | 3 | 6 | 0.95 | 0.19–1.71 |
| HSV-2 and NG | 0 | 2 | 2 | 0.32 | 0.12–0.76 |
| 3 kinds of STIs | 1 | 13 | 14 | 2.22 | 1.07–3.37 |
| HSV-2 and syphilis and CT | 1 | 9 | 10 | 1.58 | 0.61–2.55 |
| HSV-2 and syphilis and HIV | 0 | 4 | 4 | 0.63 | 0.01–1.25 |
aEstimated the total prevalence of each STIs
Multivariate analysis on risk factors related to STIs among MA users in Shandong, China
| Variable | STIs positive (N = 317) | STIs negative (N = 315) | COR (95% CI) | AOR (95% CI) | |||
|---|---|---|---|---|---|---|---|
| n | n/N% | n | n/N% | ||||
| Gender | < 0.01 | ||||||
| Male | 181 | 57.10 | 283 | 89.84 | Ref | Ref | |
| Female | 136 | 42.90 | 32 | 10.16 | 6.65 (4.33–10.19) | 7.30 (4.34–12.30) | |
| Age (years) | < 0.01 | ||||||
| < 35 | 171 | 53.94 | 214 | 67.94 | Ref | Ref | |
| ≥ 35 | 146 | 46.06 | 101 | 32.06 | 1.81 (1.31–2.50) | 2.97 (2.04–4.32) | |
| Whether acquired sexual health knowledge primarily from the Internet? | < 0.01 | ||||||
| No | 208 | 65.62 | 161 | 51.11 | Ref | Ref | |
| Yes | 109 | 34.38 | 154 | 48.89 | 0.55 (0.40–0.76) | 0.57 (0.40–0.82) | |
| Whether regular sex partners use drugs? | 0.03 | ||||||
| Yes | 129 | 40.69 | 48 | 15.24 | Ref | Ref | |
| No | 188 | 59.31 | 267 | 84.76 | 0.26 (0.18–0.38) | 0.59 (0.37–0.94) | |
STIs sexually transmitted infections, COR crude odds ratio, AOR adjust odds ratio