| Literature DB >> 25811185 |
Shujie Huang1, Weiming Tang2, Zhengjun Zhu3, Hekun Lu3, Xueling Tan3, Baoyuan Zhang3, John Best4, Ligang Yang1, Heping Zheng1, Ning Jiang5, Yueping Yin5, Bin Yang1, Xiangsheng Chen5.
Abstract
BACKGROUND: Increasing burden of STDs is one of China's major public health concerns. However, only a limited number of studies have ever investigated the prevalence of these STDs, particular for genital warts and its correlates among heterosexual males attending STD clinics in China. In order to fill this gap, we conducted a cross-sectional study among MSCs in Jiangmen, China, between the years of 2009 and 2010.Entities:
Mesh:
Year: 2015 PMID: 25811185 PMCID: PMC4374714 DOI: 10.1371/journal.pone.0121814
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Socio-demographic and STDs risky behaviors of among heterosexual males attending sexually transmitted infection clinics in Jiangmen, China, 2009 (N = 533).
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| 121 | 22.70 |
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| 205 | 38.46 |
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| 120 | 22.51 |
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| 87 | 16.32 |
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| 387 | 72.61 |
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| 146 | 27.39 |
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| 330 | 62.03 |
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| 202 | 37.97 |
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| 171 | 32.08 |
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| 362 | 67.92 |
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| 138 | 25.89 |
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| 329 | 61.73 |
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| 21 | 3.94 |
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| 45 | 8.44 |
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| 257 | 48.49 |
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| 273 | 51.51 |
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| 291 | 54.6 |
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| 242 | 45.4 |
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| 277 | 51.97 |
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| 256 | 48.03 |
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| 393 | 73.73 |
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| 140 | 26.27 |
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| 414 | 77.67 |
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| 119 | 22.33 |
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| 239 | 45.27 |
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| 289 | 54.73 |
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| 313 | 59.28 |
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| 215 | 40.72 |
Prevalence of STDs among heterosexual males attending sexually transmitted infection clinics in Jiangmen, China, 2009 (N = 533).
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| 493 | 92.50 |
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| 40 | 7.50 |
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| 204 | 90.27 |
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| 22 | 9.73 |
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| 212 | 93.81 |
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| 14 | 6.19 |
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| 494 | 92.68 |
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| 39 | 7.32 |
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| 505 | 94.75 |
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| 28 | 5.25 | |
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| 532 | 99.81 |
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| 1 | 0.19 | |
Note: *226 participants were tested for CT and NG
Fig 1Prevalence of STDs among heterosexual males attending sexually transmitted infection clinics in Jiangmen, China, 2009 (N = 533).
Factors correlated with Genital warts among heterosexual males attending sexually transmitted infection clinics in Jiangmen, China, 2009 (N = 533).
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| cOR | 95% CLs | P-value | aOR | 95% CLs | P-value | |||
| Lower | Upper | Lower | Upper | |||||
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| 0.95 | 0.91 | 0.99 | 0.01 | ||||
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| 1.95 | 1 | 3.8 | 0.05 | ||||
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| 1.24 | 0.62 | 2.48 | 0.54 | ||||
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| 3.36 | 1.73 | 6.54 | <0.001 | ||||
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| 1.15 | 0.47 | 2.79 | 0.07 | 2.34 | 0.79 | 6.87 | 0.92 |
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| 1.97 | 0.38 | 10.19 | 0.97 | 2.67 | 0.49 | 14.53 | 0.87 |
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| 6.06 | 2.18 | 16.79 | <0.001 | 5.54 | 1.94 | 15.81 | 0.02 |
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| 1.99 | 1.01 | 3.93 | 0.05 | 1.99 | 1 | 3.99 | 0.05 |
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| 2.24 | 1.09 | 4.59 | 0.03 | 2.26 | 1.08 | 4.74 | 0.03 |
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| 2.2 | 1.09 | 4.43 | 0.03 | 1.19 | 0.53 | 2.68 | 0.67 |
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| 2.05 | 0.84 | 5 | 0.12 | 1.74 | 0.7 | 4.31 | 0.23 |
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| 1.34 | 0.58 | 3.12 | 0.5 | 1.32 | 0.56 | 3.13 | 0.53 |
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| 2.04 | 1.04 | 3.98 | 0.04 | 2.01 | 1 | 4.04 | 0.05 |
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| 1.82 | 0.89 | 3.74 | 0.1 | 1.92 | 0.92 | 4.02 | 0.08 |
Note:
* Model was adjusted for age (continuous), marital status, residence and education