Online Sex-Seeking Among Chinese Heterosexual Men Who Seek Care in Stis Clinics: A Cross-Sectional Study

Online Sex-Seeking Among Chinese Heterosexual Men Who Seek Care in Stis Clinics: A Cross-Sectional Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Online Sex-Seeking Among Chinese Heterosexual Men Who Seek Care in Stis Clinics: A Cross-Sectional Study Changchang Li, Weiming Tang, Hung Chak Ho, Peizhen Zhao, Lei Chen, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-774273/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 6 You are reading this latest preprint version Abstract Background: The Internet has become an important virtual venue for men who have sex with men to seek sexual partners, with a high potential threat to spread sexually transmitted infections (STIs). However,the onlinesex-seeking use and its risk causing STIs spread remain unclear among heterosexual men. We conducted a cross-sectional study to investigate the use of online sex-seeking venues and the related risky sex activities (e.g. condomless sex, quick sex) in STIs clinics in Guangdong, China. Methods: These STIs clinics were involved in the Guangdong governmental sentinel network and we recruited heterosexual men (age >= 18) between March and August 2018. Multivariable logistic regression models were used to identify the factors associated with online sex-seeking use and risky sex activities with online sex partners. Results: 191 of 2,154 participants (8.9%) ever sought sex online. Among users,16.8% met their partners in-person within 24 hours, 31.4% engaged in condomless sex with their last online partner. Online sex-seeking was positively associated with a) previous STIs diagnosis (a OR =3.0, 95%CI:2.0-4.6), and b)having casual partners in the last three months (a OR =3.3, 95%CI 2.4-4.6). Condomless sex with the last online partner was negatively associated with the correct answer of “having only one partner can reduce the risk to infect HIV” (a OR =0.3, 95% CI :0.1-0.8). Conclusion: In China, online sex-seeking and its related risky sexual activities are not rare among heterosexual men. Future prevention strategies to reduce STIs incidence should especially target heterosexual men engaging in online sex-seeking. Health Economics & Outcomes Research Health Policy Online sex-seeking Sexual behavior Heterosexual men Sexually transmitted infection Background The use of the internet has dramatically changed people’s social behaviors in the 21st century. Specifically, the advantage of efficient communications through the internet has reinforced the behaviors of seeking casual partners through dating websites and apps as well as other social media 1 – 6 . While the Internet extended people’s social contact, previous studies indicated that the uses of such platforms may facilitate the spread of sexually transmitted infections (STIs) 1,6−10 . This risk of STIs transmission in online sex-seeking may be explained by the greater number of sexual partners and a higher likelihood of practicing unprotected intercourse among online sex partners.Therefore, understanding the profiles of online sex-seeking use and its related sexual activities is important for the development of prevention measures for STIs (e.g. HIV). Although a large number of existing research have reported the use of online sex-seeking and characteristics of its sexual activities among men who have sex with men 2 , 7 , 11 , 12 , few studies focused on heterosexual men. More attention should be given to the risk associated with sexual activities of heterosexual menbecause these males can eventually transmit the STIs from casual partners to their permanent partners. More importantly, the STIs including Chlamydia trachomatis (CT), Neisseria gonorrhea (NG), Syphilis, and Trichomoniasis have continuously and severely affected human’s morbidity as well as heterosexual men’s quality of life worldwide. In extreme cases, the STIs would result in female infertility, adverse birth outcomes (e.g. spontaneous abortion and stillbirth), and congenital infection 13 . Given the neglected risk of heterosexual men’s online sex-seeking behavior, we urgently need to comprehensively investigate the online sex-seeking behavior pattern and its related sexual behaviors that influence the acquisition and transmission of STIs infection for re-designing prevention strategies. We hereby conducted a cross-sectional study to explore the risk of STIs acquisition and transmission associated with online sex-seeking among heterosexual men in Guangdong, China. The specific objectives of this study include: 1) investigating online sex-seeking use among heterosexual men; 2) describing characteristics of specific sexual behavior among online sex-seeking users; and 3) identifying factors associated with online sex-seeking, condomless sex, and quick sex. Concerning China has the largest number of Internet users (approximately 0.83 billion users) among the world population in 2018, the site selection in this study is critical. 14 . Guangdong ranked 1st in the Internet development index among 31 Chinese cities. Meanwhile, Guangdong has the greatest amount of new infections in syphilis and NG in China in 2018, with 56180 and 31262 new reported cases 15 . A large number of Internet users and STIs cases in Guangdong can provides a unique opportunity to clarify the profiles of online- sex seeking use and its threat to the STIs epidemic. Methods Study design and setting We conducted this cross-sectional survey in Guangdong, China from March to Augustin 2018, which wasa sub-study of theGuangdong governmental sentinel surveillance programmes on STIs. The Guangdong governmental sentinel surveillance network was established in 2015 and comprised 10 cities (Zhuhai, Dongguan, Foshan, Jiangmen, Qingyuan, Shaoguan, Jieyang, Shantou, Maoming, Zhanjiang) with a high burden of STIs (see supplementary table S1).The 10 cities were located in the Pearl River Delta, East, West, and North of Guangdong, which can reflect economic and geographic diversity in Guangdong. Their locations are shown in supplementary figure S1. In the surveillance programme, 1-3 clinics at the prefecture-level city were selected according to the number of their outpatients. A minimum sample size of 200 to 250 wasrequired for each site. Participants Eligibility According to the sentinel surveillance protocol 16 , participants were sampled by the sequential sampling method. In detail, allmale visitors in clinics were recruited into surveillance excluding men who visited a clinic for reproductive health, dermatology disease, and other research programmes (e.g. voluntarycounseling and testing). The eligible subjects need to be men at least 18 years old who had sex lives and were willing to test for HIV, syphilis, CT, and NG.In our study, we further excluded men who hadsex with meninprevious years, and subjects without STIs test results,usinga smartphone, andusing online sex-seeking. The flowchart of the study population was shown in supplementary files (Figure S2). Survey The sentinel surveillance programme annually observes the prevalence of STIs including HIV, syphilis, CT, and NG among STIs clinic visitors. Information from surveillance includessocial-demographic, sexual behaviors, previous STIs diagnosis, and the questions about HIV-related knowledge (see supplementary Table S3). Urine was self-collected by each eligible participant for CT and NG testing, and blood was collected by professional physiciansat the clinics to test HIV and syphilis. More information on testing kits and lab testing methods can be found in Supplementary methods (Table S4). Local STIs clinic staff who assisted the survey were given intensive training. Interview settings had at least 1 private interview/counseling room and a waiting room. After providing verbal informed consent, those who met the eligibility criteria and agreed to participate in the study were referred to a separate,quiet room to complete a questionnaire. The questions that referred toonline sex-seeking use and its related sex activities were as follows: duration of using online sex-seeking venues, the number of partners, condom use, and the period from initial online connection to an in-person meeting. They were also asked whether they inquired about condom use and HIV status with their sex partner before meeting, via the internet. Data analysis Outcomes Participants were specifically asked whether they ever found sexual partners online. If participants reported any use of online venues to find sexual partners, they were classified as online sex-seeking users, while others were categorized as non-users. The online venues contained Weibo, Website, Blog, and Apps. Online partners only referred to female partners that our participants met online. Statistical analysis Data analyses were conducted in RX64 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria). We used the chi-square test to compare the difference between categorical factors.Fisher’s exact test was used as an alternative to the Chi-square test when one or more of the cell counts in a cross-table is less than 5. Univariate and multivariable logistic regression models were used to explore the factors associated with online sex-seeking use adjusting for age, residence, marital status, visiting clinic type, and the number of children. The potential factors associated with online sex-seeking and risky sex were included models as categorical variables. For the score of HIV-related knowledge (8 was the total score), we classified it into two categories (< 6, 6-8) and then included them in models. We also separately observed the effect of questions on right condom use and the number of sexual partners (see supplementary files Table S3). Subsequently, we performed a sub-analysis to identify the characteristic of users with condomless sex and quick sex. Condomless sex was defined as the sexual behavior that online sex-seekers did not use acondom during the last sexual intercourse with their online partners. Quick sex meant that users met their online partners in person and engaged in sex within1 week from the first online meeting. Results Social demographic, Behavior, and STIs We recruited a total of 2154 heterosexual men in this study, including 48.0% of which aged over 40 years. Approximately 36.6% and 22.1% of participants self-reported commercial sex and casual sex in the last 3 months, respectively. More than 74% of heterosexual men agreed that condom use can reduce the risk of HIV infection in sex. Additionally, nearly 9.2% of participants self-reported that they ever suffered STIs. Our lab test showed that the prevalence of HIV, syphilis, CT, and NG were 0.8%, 4.2%, 5.6%, and 4.4%, respectively. Use of online sex-seeking The prevalence of online sex-seeking was 8.8% (191/2154) self-reported by participants (Table 1). Compared with non-online sex-seeking users, the users were generally 1) younger, 2) with a higher prevalence of casual sex, and 3) with a larger proportion of self-reported medical history related to STIs and HIV infection. Besides, our lab test showed that users had a higher prevalence of HIV, syphilis, and CT (1.1%, 6.8%, and 7.3%, respectively). Sexual activities related to online sex-seeking Among the men who ever sought sex partners online, 63.0% of them had more than one-year’ experience in online sex-seeking (Table 2). During the study, 5.5% of users found partners online in the last 4 weeks and more than 66% of them had one more sexual partners in the last 4 weeks. Moreover, 40.7% of users met their last sexual partner in person within one week, and 31.4% had condomless sex. Besides, before the in-person meeting,19.9% of them negotiated about condom use, while 89.5% did not inquire about their partner’s HIV status. Factors associatedwith online sex-seeking use Our multivariable regression results (Table 3) showed that online sex-seeking use was positively associated with a) previous STIs diagnosis (adjusted Odds Ratio (a OR ) =3.0, 95%CI:2.0-4.6), and b) having casual partners in the last three months (a OR =3.3, 95%CI 2.4-4.6). Factors associated with the condomless and quick sex with online partners As presented in Table 4, having condomless sex with the most recent online partner in the last sex was negatively associated with the correct answers on the HIV-related knowledge: having only one partner can reduce the risk of getting HIV infection” (a OR =0.3, 95%CI: 0.1-0.8). The relationships between condomless sex and characteristics of online sex-seeking users were not significant, such as negotiating condom use with the last online partner before meeting in person (a OR =1.14, 95% CI :0.50- 2.59). In addition, Table 5 showed that quick sex was more likely occurred among users who a) had more than 6 months’ experience in using online sex-seeking tools, b) had no online partners in the last 4 weeks, c) used condoms during the last sex, and d) negotiated condom use and inquired HIV status of the last online partner before meeting in person. Compared with users who had sex after a one-week online connection with their partners, the quick sex subgroup has a larger proportion of new online sex-seekers ( P -value <0.001). Discussion Seeking sex through the internet platform has remarkably increased among men who have sex with men (MSMs) in China in recent years, while researches on the use of online sex-seeking venues among heterosexual men remain few. Our study provided compelling evidence that the internet platform has become an important tool to seek sex among heterosexual men, especially for those high-risk populations (e.g. men who had a previous STIs diagnosis and engaged in casual sex in the last three months).The use of online sex-seeking maybe facilitates STIs transmission due to the higher rate of having condomless sex (33.8%) and quick sex (39.6%) with online sex partners. To our knowledge, this survey is the first study focusing on online sex-seeking behaviors among heterosexual men in China. Compared with 45% of MSMs seeking sex-partners online and the 59% of them using gay-apps in previous national-wide surveys in China 1,10 , our data shows a lower prevalence (10%) of online sex-seeking among heterosexual men. This rate was also lower than the 14% of patients attending genitourinary medicine clinic in 2002 in United Kingdom 17 . Although online sex-seeking was not so popular in heterosexual men asin MSM, our findings suggested that the risk of spreading STIs in Chinese heterosexual men should be highlighted due to the higher rates (33.8%) of condomless sex (Chinese MSM: 25.4%) and the far lower rate of inquiring condom use (Chinese MSM: 32.3% )and HIV status (Chinese MSM: 33.3%) 1 . Our lab results also showed a higher positivity rate of STIs among users, which highlighted the necessity of paying attention to heterosexual men in future interventions on seeking sex online. Additionally, our findings on the difference in characteristics between online sex-seeking users and non-users implied that this sex-seeking tool was maybe more attractive for those risky populations. Compared to non-users of the online sex-seekingtool, the users were more likely to be young, never get married, and ever have STIs diagnosis. These features were consistent with findings among MSMs 1 and patients attending genitourinary medicine clinic 17 . The larger proportion of the high-risk population seeking sex online might be explained that young men generally learn how to use new social tools faster and this online sex-seeking tool provides these men an easier way to hide their STIs positive status. We also found that our surveyed users had used online sex-seeking tools for more than 1 year (63.5%) and still had contacted their online partners in the last 4 weeks, which suggested that these users persistently used this sex-seeking tool. The emerging evidence from behavioral health and chronic disease management show that the Internet is an effective platform to deliver health promotion activities 18 . In this survey, our results found men witha higher score of HIV-related knowledge were more likely to seek sex online (a OR =2.2, 95% CI :1.2-4.4), but men knowing the risk ofgetting STIs through multiple partnerships would avoid having condomless sex (a OR =0.3,95%CI:0.1-0.6). It suggests that knowledge is a key driver for having protected sex among online sex-seeking users, therefore, strengthening health education should be addressed in the intervention strategies. On the other hand, we did not observe an association between condomless sex and participants knowing the benefit of using condoms to prevent STIs infection. It implies that the awareness of risks may play a more important role in avoiding risky sex behaviors and this awareness should be enhanced in designing future health education materials for online sex-seeking users. Strengths and Limitations To our knowledge, our study is one of the very few researches focused on online sex-seeking and its threat to STIs transmission among heterosexual men in China. However, there were several limitations as follows. First, the datawas obtained from an organization whose primary mission is to monitor sexually transmitted infections, and there may be a substantial selection bias towards heterosexual men with risky sexual experiences. Because those experiences may have prompted the need and action for STIs’ screening services. Second, the use of online sex-seeking was self-reported, which could be influenced by recall bias, and underreport due to stigma, this might have led to an underestimation of the number of online sex-seeking users. Third, despite we observed a higher positivity rate of STIs among the online sex-seeking users, we still can’t identify the impact of online sex-seeking on the spread of STIs through this cross-sectional survey. A follow up of online sex-seeking users and case management are needed to clarify the threat of online sex-seeking for STIs transmitted in future surveillance. Implications for policy and Practice Despite the limitations and the low prevalence of online sex-seeking among heterosexual men, we found risky patterns for STIs spread among online sex-seeking users and the relation between users’ HIV-related knowledge and their motivation to avoid risky sexual. With the popularity of smart phones and online sex-seeking, its sequential high-risksexual behaviorsin men’s heterosexual sex present interesting challenges and opportunities for developing STIs prevention. We suggest that governmental programmes on STIs and HIV prevention should bring online sex-seeking use among heterosexual men and their related sexual behaviors into surveillance. In addition, prevention strategies should utilize these online platforms to effectively disseminate information on how to best prevent the contraction and spread of HIV and other STIs. Conclusion In China, online sex-seeking and its related risky sexual activities are not rare among heterosexual men. The high proportion of risky sexual behaviors among heterosexual men may facilitate STIs transmission among them. Future prevention strategies to reduce STI incidence should especially target heterosexual men engaging in online sex-seeking. Abbreviations STIs, sexually transmitted infections CT, Chlamydia trachomatis NG, Neisseria gonorrhea a OR , adjusted Odds Ratio MSMs, men who have sex with men Declarations Ethics approval and consent to participate This study received ethical approval from the Dermatology hospital of Southern Medical University(GDDHLS-20181207). Consent for publication Not applicable. Availability of data and material The datasets generated during the current study are not publicly available due to the clinical and confidential nature of the material but are available from the corresponding author on request. Competing interest The authors have declared that no competing interests exist. Funding Not applicable. Authors’ Contribution We gratefully acknowledged the contribution of all authors. C.L and C.W conceived of the study and supervised all aspects of its implementation. W.T, and D.H contributed to conceptualizing ideas and designing the study, P.Zprovided input regarding the analysis of the data, Y.W, M.X, B.Y, and H.Z interpreted findings and reviewed drafts of the manuscript. All authors read and approved the final manuscript. References Tang W, Best J, Zhang Y, et al. Gay mobile apps and the evolving virtual risk environment: a cross-sectional online survey among men who have sex with men in China. 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Tables Table 1 Demographics, behaviors, and physical condition of participants from STIs surveillance sites in Guangzhou, China, 2018 (N=2154) a Characteristics Total (N=2154) Online sex-seeking users (N=191) Non-users (N=1963) n % n % n % Demographic characteristics Age <20 56 2.6 6 3.14 50 2.55 20-29 569 26.42 69 36.13 500 25.47 30-39 496 23.03 75 39.27 421 21.45 40 and above 1033 47.96 41 21.47 992 50.53 Residence Guangdong 1892 87.84 173 90.58 1719 87.57 Other provinces 262 12.16 18 9.42 244 12.43 Marital Status Never married 501 23.26 63 32.98 438 22.31 Married or Cohabitation 1600 74.28 124 64.92 1476 75.19 Divorced or Widowed 53 2.46 4 2.09 49 2.5 Ethnicity Han 2134 99.07 189 98.95 1945 99.08 Minority 16 0.74 1 0.52 15 0.76 High-risk behaviors Engaged in commercial sex in the last 3 months Yes 789 36.63 69 36.13 720 36.68 No 1365 63.37 122 63.87 1243 63.32 The number of commercial partners in the last 3 months 1 442 56.02 29 42.03 406 56.39 >1 285 36.12 33 47.83 248 34.44 Missing data 73 9.25 7 10.14 66 9.17 Engaged in casual sex in the last 3 months Yes 478 22.19 89 46.6 389 19.82 No 1676 77.81 102 53.4 1574 80.18 Score of HIV-related Knowledge Score (Mean ± SD) 6.24 ±2.30 7.35 ±1.50 6.13 ±2.33 <6 660 30.64 19 9.95 641 32.65 6-8 1494 69.36 172 90.05 1322 67.35 Using condoms correctly can reduce the risk of HIV infection Yes 1709 79.34 183 95.81 1526 77.74 No 81 3.76 2 1.05 79 4.02 Unknown 364 16.9 6 3.14 358 18.24 Have sex with one partner can reduce the risk of HIV infection Yes 1595 74.05 168 87.96 1427 72.69 No 121 5.62 3 1.57 118 6.01 Unknown 438 20.33 20 10.47 418 21.29 Physical condition Self-reported history of STIs Yes 199 9.24 39 20.42 160 8.15 No 1955 90.76 152 79.58 1803 91.85 Testing result in this survey HIV Yes 11 0.51 2 1.05 9 0.46 No 2137 99.21 189 98.95 1948 99.24 Missing data 6 0.28 0 0 6 0.31 Syphilis Yes 89 4.13 13 6.81 76 3.87 No 2059 95.59 178 93.19 1881 95.82 Missing data 6 0.28 0 0 6 0.31 CT Yes 119 5.52 14 7.33 105 5.35 No 2008 93.22 175 91.62 1833 93.38 Missing data 27 1.25 2 1.05 25 1.27 NG Yes 90 4.18 6 3.14 84 4.28 No 2037 94.57 183 95.81 1854 94.45 Missing data 27 1.25 2 1.05 25 1.27 a STIs, sexually transmitted infections.HIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval. CT, Chlamydia trachomatis , NG, Neisseria gonorrhea Table 2. Information and behaviors of online sex-seeking heterosexual men in Guangdong, China (N=191) Variables n % Time since started to seek sex online 3 years 49 25.65 Missing data 10 5.24 Engaged in finding sexual partners online in the last 4 weeks Yes 106 55.5 No 81 42.41 Missing data 4 2.09 The number of sexual partners found online in the last 4 weeks 1 35 33.02 2 to 3 68 64.15 Above 4 3 2.83 Timing of finding the last partner online ≤1 week 84 43.98 2-4 weeks 51 26.7 > 4 weeks 52 27.23 Missing data 4 2.09 Time gap between meeting the most recent sex partner in person and meeting her online ≤1 day 32 16.75 2-7 days 46 24.08 1-2 weeks 58 30.37 > 2 weeks 52 27.23 Missing data 3 1.57 Used condoms during last sex with the last online partner Yes 128 67.02 No 60 31.41 Missing data 3 1.57 Negotiated about condom use in-person with the last online partner Yes 38 19.9 No 150 71.49 Missing data 3 1.32 Asked the last online partner’s HIV status before meeting in person? Yes 17 8.9 No 171 89.53 Missing data 3 1.57 a HIV, human immunodeficiency virus. Table 3. Factors correlated with online sex-seeking use for partner-seeking among heterosexual men in Guangdong, China, 2018 (N=191) a Variables Univariate analysis Multiple analysis b Crude OR 95%CI Adjusted OR 95%CI Engaged in commercial sex in the last 3 months No Ref. Ref. Yes 0.98 (0.72, 1.33) 1.02 (0.74, 1.41) Engaged in casual sex in the last 3 months No Ref. Ref. Yes 3.53*** (2.60, 4.79) 3.32*** (2.40, 4.60) Previous STIs diagnosis No Ref. Ref. Yes 2.89*** (1.96, 4.25) 3.00*** (1.97, 4.56) Score of HIV-related knowledge 6-8 Ref. Ref. <6 1.40 (0.49,378) 1.57 (0.52,4.56) Right condom use can reduce the risk to infect HIV No or Unknown Ref. Ref. Yes 6.55*** (3.21, 13.41) 5.21*** (2.52, 10.75) Having sex with one partner can reduce the risk to infect HIV No or Unknown Ref. Ref. Yes 2.74*** （1.75， 4.23） 2.28* (1.43,3.65) a STIs, sexually transmitted infections. HIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval. b Adjusted age, clinic type, marital status,having children. * P value < 0.05, ** P value < 0.01， *** P value < 0.001 Table 4. Factors correlated with condomless sex with the last partner among online sex-seeking users in Guangdong, China, 2018 (N=77) a Variable Univariate analysis Multiple analysis Crude OR 95%CI Adjust OR 95%CI Characteristics of online sex-seeking users Time since the start of seeking sex online 3 years 1.05 (0.38, 2.90) 1.04 (0.35, 3.05) Time-gap of finding the last partners online ≤1 week Ref. Ref. 2-4 weeks 1.40 (0.68, 2.87) 1.33 (0.63, 2.81) > 4 weeks 0.54 (0.24, 1.20) 0.51 (0.22, 1.18) Duration between meeting the last sexual partner online and meeting in person ≤1 day Ref. Ref. 2-7 days 1.02 (0.39, 2.67) 1.05 (0.39, 2.86) 1-2 weeks 1.86 (0.76, 4.57) 1.72 (0.68, 4.31) > 2 weeks 1.25 (0.49, 3.19) 1.28 (0.47, 3.49) Negotiated about condom use with the last online partner before meeting in person No Ref. Ref. Yes 1.14 (0.54,2.42) 1.14 (0.50, 2.59) Asked the last online partner’s HIV status before meeting in person Yes Ref. Ref. No 1.12 (0.48, 2.59) 1.04 (0.42, 2.56) HIV related knowledge Score of HIV related knowledge 6-8 Ref. Ref. <6 1.41 (0.49, 3.77) 1.58 (0.53, 4.53) Using condoms correctly can reduce the risk of HIV infection No or Unknown Ref. Ref. Yes 0.57 (0.13, 2.83) 0.55 (0.11. 2.75) Having sex with one partner can reduce the risk of HIV infection No or Unknown Ref. Ref. Yes 0.34* （ 0.14, 0.84) 0.30* (0.11, 0.81) a STIs, sexually transmitted infections.HIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval. b Adjusted age, clinic type, marital status，have babies * P value <0.05, ** P value <0.01， *** P value <0.001 Table 5. Sex patterns with the last online partners among heterosexual men who met last online partner within and over one week after meeting through the internet, 2018 Duration between first meeting online and in-person P value One week or less (N=78) More than one week (N=110) n % n % Time since to the start of seeking sex online < 6 months 18 23.08 9 8.18 3 years 11 14.10 38 34.55 Number of sex partners found online in the last 4 weeks 1 18 23.08 17 15.45 0.99 2 to 3 36 46.15 32 29.09 Above 4 2 2.56 2 1.82 Used condom with the last partner met online in the last sex Yes 57 73.08 71 64.55 0.28 No 21 26.92 39 35.45 Negotiated about condom use with the last online partner before meeting in person Yes 15 19.23 23 20.91 0.92 No 63 80.77 87 79.09 Asked the last online partner’s HIV status before meeting in person? Yes 7 8.97 10 9.09 0.98 No 71 91.03 100 90.91 Supplementary Files supplementaryfiles.docx Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 09 Feb, 2022 Reviewers invited by journal 26 Sep, 2021 Editor assigned by journal 18 Aug, 2021 Submission checks completed at journal 17 Aug, 2021 Editor invited by journal 17 Aug, 2021 First submitted to journal 01 Aug, 2021 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-774273","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":48509614,"identity":"c6a51811-c276-492e-9f82-4acc543024df","order_by":0,"name":"Changchang Li","email":"","orcid":"https://orcid.org/0000-0001-5066-6968","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Changchang","middleName":"","lastName":"Li","suffix":""},{"id":48509615,"identity":"c22275af-fa27-4d8b-956e-1f5216694e05","order_by":1,"name":"Weiming Tang","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Weiming","middleName":"","lastName":"Tang","suffix":""},{"id":48509616,"identity":"311b5217-ab41-4233-8671-1bba3f82f91d","order_by":2,"name":"Hung Chak Ho","email":"","orcid":"","institution":"The University of Hong Kong Department of Urban Planning and Design","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hung Chak","middleName":"","lastName":"Ho","suffix":""},{"id":48509617,"identity":"9a1fca96-f592-4345-b976-ff8dca50d768","order_by":3,"name":"Peizhen Zhao","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Peizhen","middleName":"","lastName":"Zhao","suffix":""},{"id":48509618,"identity":"514a2f27-f1cc-4929-b49b-a07780e83043","order_by":4,"name":"Lei Chen","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Chen","suffix":""},{"id":48509619,"identity":"19de6788-c5d3-4099-9ff6-aec68c5e280d","order_by":5,"name":"Yajie Wang","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Yajie","middleName":"","lastName":"Wang","suffix":""},{"id":48509620,"identity":"0605bf40-e3fe-45f2-98a2-e2b2d5db811d","order_by":6,"name":"Mingzhou Xiong","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mingzhou","middleName":"","lastName":"Xiong","suffix":""},{"id":48509621,"identity":"247a4296-45ce-4e0e-8aad-e9ee39da29b2","order_by":7,"name":"Bin Yang","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Bin","middleName":"","lastName":"Yang","suffix":""},{"id":48509622,"identity":"0357d8b2-7833-4eb4-b070-9f91e2cc63c5","order_by":8,"name":"Heping Zheng","email":"","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Heping","middleName":"","lastName":"Zheng","suffix":""},{"id":48509623,"identity":"9dc626eb-461d-4bae-89a5-a0abcfb3aadb","order_by":9,"name":"Cheng Wang","email":"data:image/png;base64,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","orcid":"","institution":"Dermatology Hospital of Southern Medical University: Guangdong Provincial Dermatology Hospital","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Cheng","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2021-08-02 01:06:43","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-774273/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-774273/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":13711979,"identity":"5114d85a-b0a6-41c3-a682-09530d657d1b","added_by":"auto","created_at":"2021-09-17 14:25:50","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":740285,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-774273/v1/022a3440-c6b3-4353-b70e-1939b00deb04.pdf"},{"id":12909559,"identity":"c9b07c27-4483-4bff-82da-5028958796e1","added_by":"auto","created_at":"2021-08-30 20:57:13","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":98574,"visible":true,"origin":"","legend":"","description":"","filename":"supplementaryfiles.docx","url":"https://assets-eu.researchsquare.com/files/rs-774273/v1/234b7896fb432b6a5e977dd6.docx"}],"financialInterests":"","formattedTitle":"\u003cp\u003eOnline Sex-Seeking Among Chinese Heterosexual Men Who Seek Care in Stis Clinics: A Cross-Sectional Study\u003c/p\u003e","fulltext":[{"header":"Background","content":"\u003cp\u003eThe use of the internet has dramatically changed people\u0026rsquo;s social behaviors in the 21st century. Specifically, the advantage of efficient communications through the internet has reinforced the behaviors of seeking casual partners through dating websites and apps as well as other social media\u003csup\u003e\u003cspan additionalcitationids=\"CR2 CR3 CR4 CR5\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e. While the Internet extended people\u0026rsquo;s social contact, previous studies indicated that the uses of such platforms may facilitate the spread of sexually transmitted infections (STIs) \u003csup\u003e1,6\u0026minus;10\u003c/sup\u003e. This risk of STIs transmission in online sex-seeking may be explained by the greater number of sexual partners and a higher likelihood of practicing unprotected intercourse among online sex partners.Therefore, understanding the profiles of online sex-seeking use and its related sexual activities is important for the development of prevention measures for STIs (e.g. HIV).\u003c/p\u003e \u003cp\u003eAlthough a large number of existing research have reported the use of online sex-seeking and characteristics of its sexual activities among men who have sex with men\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e,\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e,\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e, few studies focused on heterosexual men. More attention should be given to the risk associated with sexual activities of heterosexual menbecause these males can eventually transmit the STIs from casual partners to their permanent partners. More importantly, the STIs including Chlamydia trachomatis (CT), Neisseria gonorrhea (NG), Syphilis, and Trichomoniasis have continuously and severely affected human\u0026rsquo;s morbidity as well as heterosexual men\u0026rsquo;s quality of life worldwide. In extreme cases, the STIs would result in female infertility, adverse birth outcomes (e.g. spontaneous abortion and stillbirth), and congenital infection\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. Given the neglected risk of heterosexual men\u0026rsquo;s online sex-seeking behavior, we urgently need to comprehensively investigate the online sex-seeking behavior pattern and its related sexual behaviors that influence the acquisition and transmission of STIs infection for re-designing prevention strategies.\u003c/p\u003e \u003cp\u003eWe hereby conducted a cross-sectional study to explore the risk of STIs acquisition and transmission associated with online sex-seeking among heterosexual men in Guangdong, China. The specific objectives of this study include: 1) investigating online sex-seeking use among heterosexual men; 2) describing characteristics of specific sexual behavior among online sex-seeking users; and 3) identifying factors associated with online sex-seeking, condomless sex, and quick sex.\u003c/p\u003e \u003cp\u003eConcerning China has the largest number of Internet users (approximately 0.83\u0026nbsp;billion users) among the world population in 2018, the site selection in this study is critical.\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e. Guangdong ranked 1st in the Internet development index among 31 Chinese cities. Meanwhile, Guangdong has the greatest amount of new infections in syphilis and NG in China in 2018, with 56180 and 31262 new reported cases \u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. A large number of Internet users and STIs cases in Guangdong can provides a unique opportunity to clarify the profiles of online- sex seeking use and its threat to the STIs epidemic.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy design and setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe conducted this cross-sectional survey in Guangdong, China from March to Augustin 2018, which wasa sub-study of theGuangdong governmental sentinel surveillance programmes on STIs. The Guangdong governmental sentinel surveillance network was established in 2015 and comprised 10 cities (Zhuhai, Dongguan, Foshan, Jiangmen, Qingyuan, Shaoguan, Jieyang, Shantou, Maoming, Zhanjiang) with a high burden of STIs (see supplementary table S1).The 10 cities were located in the Pearl River Delta, East, West, and North of Guangdong, which can reflect economic and geographic diversity in Guangdong. Their locations are shown in supplementary figure S1. In the surveillance programme, 1-3 clinics at the prefecture-level city were selected according to the number of their outpatients. A minimum sample size of 200 to 250 wasrequired for each site.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eParticipants Eligibility\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAccording to the sentinel surveillance protocol\u003csup\u003e16\u003c/sup\u003e, participants were sampled by the sequential sampling method. In detail, allmale visitors in clinics were recruited into surveillance excluding men who visited a clinic for reproductive health, dermatology disease, and other research programmes (e.g. voluntarycounseling and testing). The eligible subjects need to be men at least 18 years old who had sex lives and were willing to test for HIV, syphilis, CT, and NG.In our study, we further excluded men who hadsex with meninprevious years, and subjects without STIs test results,usinga smartphone, andusing online sex-seeking. The flowchart of the study population was shown in supplementary files (Figure S2).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSurvey\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;sentinel\u0026nbsp;surveillance programme annually observes the prevalence of STIs including HIV, syphilis, CT, and NG among STIs clinic visitors. Information from surveillance includessocial-demographic, sexual behaviors, previous STIs diagnosis, and the questions about HIV-related knowledge (see supplementary Table S3).\u0026nbsp;Urine was self-collected by each eligible participant for CT\u0026nbsp;and\u0026nbsp;NG\u0026nbsp;testing, and blood was collected by professional physiciansat the clinics to test HIV and syphilis. More information on testing kits and lab\u0026nbsp;testing methods can be found in Supplementary methods (Table S4).\u003c/p\u003e\n\u003cp\u003eLocal STIs clinic staff who assisted the survey were given intensive training. Interview settings had at least 1 private interview/counseling room and a waiting room. After providing verbal informed consent, those who\u0026nbsp;met the eligibility criteria and agreed to participate in the study were referred to a separate,quiet room to complete a questionnaire.\u003c/p\u003e\n\u003cp\u003eThe questions that referred toonline sex-seeking use and its related sex activities were as follows: duration of using online sex-seeking venues, the number of partners, condom use, and the period from initial online connection to an in-person meeting. They were also asked whether they inquired about condom use and HIV status with their sex partner before meeting, via the internet.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOutcomes\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eParticipants were specifically asked whether they ever found sexual partners online. If participants reported any use of online venues to find sexual partners, they were classified as online sex-seeking users, while others were categorized as non-users. The online venues contained Weibo, Website, Blog, and Apps. Online partners only referred to female partners that our participants met online.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData analyses were conducted in RX64 3.4.2 (R Foundation for Statistical Computing, Vienna, Austria).\u0026nbsp;We used the chi-square test to compare the difference between categorical factors.Fisher\u0026rsquo;s exact test was used as an alternative to the Chi-square test when one or more of the cell counts in a cross-table is less than 5.\u003c/p\u003e\n\u003cp\u003eUnivariate and multivariable logistic regression models were used to\u0026nbsp;explore the factors associated with\u0026nbsp;online sex-seeking use adjusting for age, residence, marital status, visiting clinic type,\u0026nbsp;and the\u0026nbsp;number of children. The potential factors associated with online sex-seeking and risky sex were included models as categorical variables. For the score of HIV-related knowledge (8 was the total score), we classified it into two categories (\u0026lt; 6, 6-8) and then included them in models. We also separately observed the effect of questions on right condom use and the number of sexual partners (see supplementary files Table S3).\u003c/p\u003e\n\u003cp\u003eSubsequently, we performed a sub-analysis to identify the characteristic of users with condomless sex and quick sex. Condomless sex was defined as the sexual behavior that online sex-seekers did not use acondom during the last sexual intercourse with their online partners. Quick sex meant that users met their online partners in person and engaged in sex within1 week from the first online meeting.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003eSocial demographic,\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;Behavior, and STIs\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe recruited a total of 2154 heterosexual men in this study, including 48.0% of which aged over 40 years. Approximately 36.6% and 22.1% of participants self-reported commercial sex and casual sex in the last 3 months, respectively. More than 74% of heterosexual men agreed that condom use can reduce the risk of HIV infection in sex. Additionally, nearly 9.2% of participants self-reported that they ever suffered STIs. Our lab test showed that the prevalence of HIV, syphilis, CT, and NG were 0.8%, 4.2%, 5.6%, and 4.4%, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eUse of\u0026nbsp;online sex-seeking\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe prevalence of online sex-seeking was 8.8% (191/2154) self-reported by participants (Table 1). Compared with non-online sex-seeking users, the users were generally 1) younger, 2) with a higher prevalence of casual sex, and 3) with a larger proportion of self-reported medical history related to STIs and HIV infection. Besides, our lab test showed that users had a higher prevalence of HIV, syphilis, and CT\u0026nbsp;(1.1%, 6.8%, and 7.3%, respectively).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSexual activities related to\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eonline sex-seeking\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAmong the men who ever sought sex partners online, 63.0% of them had more than one-year\u0026rsquo; experience in online sex-seeking (Table 2). During the study, 5.5% of users found partners online in the last 4 weeks and more than 66% of them had one more sexual partners in the last 4 weeks. Moreover, 40.7% of users met their last sexual partner in person within one week, and 31.4% had condomless sex. Besides, before the in-person meeting,19.9% of them negotiated about condom use, while 89.5% did not inquire about their partner\u0026rsquo;s HIV status.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFactors associatedwith online sex-seeking use\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eOur multivariable regression results (Table 3) showed that online sex-seeking use was positively associated with a) previous STIs diagnosis (adjusted Odds Ratio (a\u003cem\u003eOR\u003c/em\u003e) =3.0, 95%CI:2.0-4.6), and b) having casual partners in the last three months (a\u003cem\u003eOR\u003c/em\u003e=3.3, 95%CI 2.4-4.6).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFactors associated with the condomless and quick sex with online partners\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAs presented in Table 4, having condomless sex with the most recent online partner in the last sex was negatively associated with the correct answers on the HIV-related knowledge: having only one partner can reduce the risk of getting HIV infection\u0026rdquo; (a\u003cem\u003eOR\u003c/em\u003e=0.3, 95%CI: 0.1-0.8). The relationships between condomless sex and characteristics of online sex-seeking users were not significant, such as negotiating condom use with the last online partner before meeting in person (a\u003cem\u003eOR\u003c/em\u003e=1.14, 95%\u003cem\u003eCI\u003c/em\u003e:0.50- 2.59). \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn addition, Table 5 showed that quick sex was more likely occurred among users who a) had more than 6 months\u0026rsquo; experience in using online sex-seeking tools, b) had no online partners in the last 4 weeks, c) used condoms during the last sex, and d) negotiated condom use and inquired HIV status of the last online partner before meeting in person. Compared with users who had sex after a one-week online connection with their partners, the quick sex subgroup has a larger proportion of new online sex-seekers (\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e-value \u0026lt;0.001).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eSeeking sex through the internet platform has remarkably increased among men who have sex with men (MSMs) in China in recent years, while researches on the use of online sex-seeking venues among heterosexual men remain few. Our study provided compelling evidence that the internet platform has become an important tool to seek sex among heterosexual men, especially for those high-risk populations (e.g. men who had a previous STIs diagnosis and engaged in casual sex in the last three months).The use of online sex-seeking maybe facilitates STIs transmission due to the higher rate of having condomless sex (33.8%) and quick sex (39.6%) with online sex partners.\u003c/p\u003e\n\u003cp\u003eTo our knowledge, this survey is the first study focusing on online sex-seeking behaviors among heterosexual men in China. Compared with 45% of MSMs seeking sex-partners online and the 59% of them using gay-apps in previous national-wide surveys in China\u003csup\u003e1,10\u003c/sup\u003e, our data shows a lower prevalence (10%) of online sex-seeking among heterosexual men. This rate was also lower than the 14% of patients attending genitourinary medicine clinic in 2002 in United Kingdom\u003csup\u003e17\u003c/sup\u003e. Although online sex-seeking was not so popular in heterosexual men asin MSM, our findings suggested that the risk of spreading STIs in Chinese heterosexual men should be highlighted due to the higher rates (33.8%) of condomless sex (Chinese MSM: 25.4%) and the far lower rate of inquiring condom use (Chinese MSM: 32.3% )and HIV status (Chinese MSM: 33.3%)\u003csup\u003e1\u003c/sup\u003e. Our lab results also showed a higher positivity rate of STIs among users, which highlighted the necessity of paying attention to heterosexual men in future interventions on seeking sex online.\u003c/p\u003e\n\u003cp\u003eAdditionally, our findings on the difference in characteristics between online sex-seeking users and non-users implied that this sex-seeking tool was maybe more attractive for those risky populations. Compared to non-users of the online sex-seekingtool, the users were more likely to be young, never get married, and ever have STIs diagnosis. These features were consistent with findings among MSMs \u003csup\u003e1\u003c/sup\u003e and patients attending genitourinary medicine clinic\u003csup\u003e17\u003c/sup\u003e. The larger proportion of the high-risk population seeking sex online might be explained that young men generally learn how to use new social tools faster and this online sex-seeking tool provides these men an easier way to hide their STIs positive status. We also found that our surveyed users had used online sex-seeking tools for more than 1 year (63.5%) and still had contacted their online partners in the last 4 weeks, which suggested that these users persistently used this sex-seeking tool.\u003c/p\u003e\n\u003cp\u003eThe emerging evidence from behavioral health and chronic disease management show that the Internet is an effective platform to deliver health promotion activities\u003csup\u003e18\u003c/sup\u003e. In this survey, our results found men witha higher score of HIV-related knowledge were more likely to seek sex online (a\u003cem\u003eOR\u003c/em\u003e=2.2, 95%\u003cem\u003eCI\u003c/em\u003e:1.2-4.4), but men knowing the risk ofgetting STIs through multiple partnerships would avoid having condomless sex (a\u003cem\u003eOR\u003c/em\u003e=0.3,95%CI:0.1-0.6). It suggests that knowledge is a key driver for having protected sex among online\u0026nbsp;sex-seeking users, therefore, strengthening health education should be addressed in the intervention strategies. On the other hand, we did not observe an association between condomless sex and participants knowing the benefit of using condoms to prevent STIs infection. It implies that the awareness of risks may play a more important role in avoiding risky sex behaviors and this awareness should be enhanced in designing future health education materials for online sex-seeking users. \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStrengths and Limitations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTo our knowledge, our study is one of the very few researches focused on online sex-seeking and its threat to STIs transmission among heterosexual men in China. However, there were several limitations as follows. First, the datawas obtained from an organization whose primary mission is to monitor sexually transmitted infections, and there may be a substantial selection bias towards heterosexual men with risky sexual experiences. Because those experiences may have prompted the need and action for STIs\u0026rsquo; screening services. Second, the use of online sex-seeking was self-reported, which could be influenced by recall bias, and underreport due to stigma, this might have led to an underestimation of the number of online sex-seeking users. Third, despite we observed a higher positivity rate of STIs among the online sex-seeking users, we still can\u0026rsquo;t identify the impact of online sex-seeking on the spread of STIs through this cross-sectional survey. A follow up of online sex-seeking users and case management are needed to clarify the threat of online sex-seeking for STIs transmitted in future surveillance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eImplications for policy and Practice\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDespite the limitations and the low prevalence of online sex-seeking among heterosexual men, we found risky patterns for STIs spread among online sex-seeking users and the relation between users\u0026rsquo; HIV-related knowledge and their motivation to avoid risky sexual. With the popularity of smart phones and online sex-seeking, its sequential high-risksexual behaviorsin men\u0026rsquo;s heterosexual sex present interesting challenges and opportunities for developing STIs prevention. We suggest that governmental programmes on STIs and HIV prevention should bring online sex-seeking use among heterosexual men and their related sexual behaviors into surveillance. In addition, prevention strategies should utilize these online platforms to effectively disseminate information on how to best prevent the contraction and spread of HIV and other STIs.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn China, online sex-seeking and its related risky sexual activities are not rare among heterosexual men. The high proportion of risky sexual behaviors among heterosexual men may facilitate STIs transmission among them. Future prevention strategies to reduce STI incidence should especially target heterosexual men engaging in online sex-seeking.\u003c/p\u003e "},{"header":"Abbreviations","content":"\u003cp\u003eSTIs, sexually transmitted infections\u003c/p\u003e \u003cp\u003eCT, Chlamydia trachomatis\u003c/p\u003e \u003cp\u003eNG, Neisseria gonorrhea\u003c/p\u003e \u003cp\u003ea\u003cem\u003eOR\u003c/em\u003e, adjusted Odds Ratio\u003c/p\u003e \u003cp\u003eMSMs, men who have sex with men\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study received ethical approval from the Dermatology hospital of Southern Medical University(GDDHLS-20181207).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated during the current study are not publicly available due to the clinical and confidential nature of the material but are available from the corresponding author on request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have declared that no competing interests exist.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe gratefully acknowledged the contribution of all authors. C.L and C.W conceived of the study and supervised all aspects of its implementation. W.T, and D.H contributed to conceptualizing ideas and designing the study, P.Zprovided input regarding the analysis of the data, Y.W, M.X, B.Y, and H.Z interpreted findings and reviewed drafts of the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eTang W, Best J, Zhang Y, et al. Gay mobile apps and the evolving virtual risk environment: a cross-sectional online survey among men who have sex with men in China. \u003cem\u003eSexually Transmitted Infections. \u003c/em\u003e2016,92(7):508-514.PMID: 27288414\u003c/li\u003e\n\u003cli\u003eBeymer MR, Weiss RE, Bolan RK, et al. 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\u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"27.122381477398015%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOnline sex-seeking users (N=191)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"22.93274531422271%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNon-users (N=1963)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.532544378698224%\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.45562130177515%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.047337278106507%\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.34319526627219%\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"15.532544378698224%\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.088757396449704%\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003eDemographic characteristics\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Age\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026lt;20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e2.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e2.55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e20-29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e569\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e26.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e36.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e500\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e25.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e30-39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e496\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e23.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e39.27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e421\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e21.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e40 and above\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1033\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e47.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e21.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e992\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e50.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Residence\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eGuangdong\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1892\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e87.84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e173\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e90.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1719\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e87.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eOther provinces\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e262\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e12.16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e9.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e244\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e12.43\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Marital Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026nbsp;Never married\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e501\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e23.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e32.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e438\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e22.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMarried or Cohabitation\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1600\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e74.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e124\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e64.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1476\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e75.19\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eDivorced or Widowed\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e2.46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Ethnicity\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026nbsp;Han\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e2134\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e99.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e98.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1945\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e99.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMinority\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e0.74\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e0.76\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003eHigh-risk behaviors\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Engaged in commercial sex in the last 3 months\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e789\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e36.63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e69\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e36.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e720\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e36.68\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1365\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e63.37\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e122\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e63.87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1243\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e63.32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; The number of commercial partners in the last 3 months\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e442\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e56.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e42.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e406\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e56.39\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026gt;1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e285\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e36.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e47.83\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e248\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e34.44\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e73\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e9.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e10.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e9.17\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Engaged in casual sex in the last 3 months\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e478\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e22.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e46.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e389\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e19.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1676\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e77.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e102\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e53.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1574\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e80.18\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003eScore of HIV-related Knowledge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.35832414553473%\"\u003e\n \u003cp\u003eScore (Mean \u0026plusmn; SD)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"24.586549062844544%\"\u003e\n \u003cp\u003e6.24 \u0026plusmn;2.30\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"27.122381477398015%\"\u003e\n \u003cp\u003e7.35 \u0026plusmn;1.50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" width=\"22.93274531422271%\"\u003e\n \u003cp\u003e6.13 \u0026plusmn;2.33\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026lt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e660\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e30.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e9.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e641\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e32.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e6-8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1494\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e69.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e172\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e90.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1322\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e67.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eUsing condoms correctly can reduce the risk of HIV infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1709\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e79.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e183\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e95.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1526\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e77.74\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e3.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e79\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e4.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e364\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e16.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e358\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e18.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003eHave sex with one partner can reduce the risk of HIV infection\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1595\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e74.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e168\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e87.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1427\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e72.69\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e121\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e5.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e6.01\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eUnknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e438\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e20.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e10.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e418\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e21.29\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePhysical condition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.686534216335541%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Self-reported history of STIs\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e199\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e9.24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e20.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e8.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e1955\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e90.76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e152\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e79.58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e1803\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e91.85\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; Testing result in this survey\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; HIV\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e0.46\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e2137\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e99.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e189\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e98.95\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e1948\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e99.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp;Syphilis\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e4.13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e13\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e6.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e76\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e3.87\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e2059\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e95.59\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e93.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e1881\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e95.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; CT\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e119\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e5.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e7.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e105\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e5.35\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e2008\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e93.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e175\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e91.62\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e1833\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e93.38\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp; NG\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e90\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e4.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e3.14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e4.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e2037\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e94.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e183\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e95.81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e1854\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e94.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"25.386313465783665%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.589403973509933%\"\u003e\n \u003cp\u003e27\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.024282560706402%\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.465783664459162%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"14.1280353200883%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.147902869757175%\"\u003e\n \u003cp\u003e25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.258278145695364%\"\u003e\n \u003cp\u003e1.27\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003csup\u003ea\u003c/sup\u003e\u003c/strong\u003eSTIs, sexually transmitted infections.HIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval. CT, Chlamydia trachomatis\u003cstrong\u003e,\u003c/strong\u003e NG, Neisseria gonorrhea\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. Information and behaviors of online sex-seeking heterosexual men in Guangdong, China (N=191)\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" width=\"67.01754385964912%\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.964912280701755%\"\u003e\n \u003cp\u003en\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.017543859649123%\"\u003e\n \u003cp\u003e%\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eTime since started to seek sex online\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003e\u0026lt; 6 months\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e10.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e6 months-1 year\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e21.47\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e1-3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e36.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e\u0026gt; 3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e25.65\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e5.24\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eEngaged in finding sexual partners online in the last 4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e55.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e81\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e42.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eThe number of sexual partners found online in the last 4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e33.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e2 to 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e64.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eAbove 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e2.83\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eTiming of finding the last partner online\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003e\u0026le;1 week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e84\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e43.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e2-4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e26.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e\u0026gt; 4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e27.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e2.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"5\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eTime gap between meeting the most recent sex partner in person and meeting her online\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003e\u0026le;1 day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e16.75\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e2-7 days\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e46\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e24.08\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e1-2 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e58\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e30.37\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003e\u0026gt; 2 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e27.23\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eUsed condoms during last sex with the last online partner\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e128\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e67.02\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e60\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e31.41\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eNegotiated about condom use in-person with the last online partner\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e19.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e\u003cstrong\u003e71.49\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e1.32\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"46.234676007005255%\"\u003e\n \u003cp\u003eAsked the last online partner\u0026rsquo;s HIV status before meeting in person?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.84063047285464%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.936952714535902%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.987740805604204%\"\u003e\n \u003cp\u003e8.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e171\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e89.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"38.762214983713356%\"\u003e\n \u003cp\u003eMissing data\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.64169381107492%\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"31.596091205211728%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" width=\"100%\"\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003e HIV, human immunodeficiency virus.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. Factors correlated with online sex-seeking use for partner-seeking among heterosexual men in Guangdong, China, 2018 (N=191)\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\" width=\"57.67138193688792%\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariables\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e \u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"20.02176278563656%\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"22.306855277475517%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMultiple analysis\u003csup\u003eb\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"21.025641025641026%\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrude OR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.41025641025641%\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.153846153846153%\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjusted OR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.41025641025641%\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003e\u003cstrong\u003eEngaged in commercial sex in the last 3 months\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(0.72, 1.33)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(0.74, 1.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003e\u003cstrong\u003eEngaged in casual sex in the last 3 months\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e3.53***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(2.60, 4.79)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e3.32***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(2.40, 4.60)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003e\u003cstrong\u003ePrevious STIs diagnosis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e2.89***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(1.96, 4.25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e3.00***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(1.97, 4.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003e\u003cstrong\u003eScore of HIV-related knowledge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003e6-8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003e\u0026lt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(0.49,378)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e1.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(0.52,4.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003eRight condom use can reduce the risk to infect HIV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003eNo or Unknown\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e6.55***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(3.21, 13.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e5.21***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(2.52, 10.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" width=\"41.67573449401523%\"\u003e\n \u003cp\u003eHaving sex with one partner can reduce the risk to infect HIV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.886833514689881%\"\u003e\n \u003cp\u003eNo or Unknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.922742110990207%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.099020674646354%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.207834602829163%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"27.238805970149254%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.298507462686567%\"\u003e\n \u003cp\u003e2.74***\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e（1.75，\u0026nbsp;4.23）\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.029850746268657%\"\u003e\n \u003cp\u003e2.28*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.21641791044776%\"\u003e\n \u003cp\u003e(1.43,3.65)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" width=\"100%\"\u003e\n \u003cp\u003e\u003csup\u003ea\u003c/sup\u003e STIs, sexually transmitted infections.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eHIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u003csup\u003eb\u003c/sup\u003e\u003c/strong\u003eAdjusted age, clinic type, marital status,having children.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" width=\"100%\"\u003e\n \u003cp\u003e*\u003cem\u003eP\u003c/em\u003e value \u0026lt; 0.05, **\u003cem\u003eP\u0026nbsp;\u003c/em\u003evalue \u0026lt; 0.01，\u0026nbsp;***\u003cem\u003eP\u0026nbsp;\u003c/em\u003evalue \u0026lt; 0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Factors correlated with condomless sex with the last partner among online sex-seeking users in Guangdong, China, 2018 (N=77)\u003csup\u003e\u0026nbsp;a\u003c/sup\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"2\" width=\"56.15711252653928%\"\u003e\n \u003cp\u003e\u003cstrong\u003eVariable\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"20.8067940552017%\"\u003e\n \u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"23.036093418259025%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMultiple analysis\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.82324455205811%\"\u003e\n \u003cp\u003e\u003cstrong\u003eCrude OR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.39225181598063%\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25.423728813559322%\"\u003e\n \u003cp\u003e\u003cstrong\u003eAdjust OR\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"27.360774818401936%\"\u003e\n \u003cp\u003e\u003cstrong\u003e95%CI\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" width=\"56.15711252653928%\"\u003e\n \u003cp\u003e\u003cstrong\u003eCharacteristics of online sex-seeking users\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eTime since the start of seeking sex online\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003e\u0026lt; 6 months\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e6 months-1 year\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e2.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.92, 7.38)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e2.39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.81, 7.01)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e1-3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e0.70\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.26, 1.91)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e0.61\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.22, 1.73)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e\u0026gt; 3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.38, 2.90)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.35, 3.05)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eTime-gap of finding the last partners online\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003e\u0026le;1 week\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e2-4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.40\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.68, 2.87)\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.63, 2.81)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e\u0026gt; 4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e0.54\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.24, 1.20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e0.51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.22, 1.18)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eDuration between meeting the last sexual partner online and meeting in person\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003e\u0026le;1 day\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e2-7 days\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.02\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.39, 2.67)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.39, 2.86)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e1-2 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.86\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.76, 4.57)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.72\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.68, 4.31)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e\u0026gt; 2 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.49, 3.19)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.47, 3.49)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eNegotiated about condom use with the last online partner before meeting in person\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.14\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e\u003cstrong\u003e(0.54,2.42)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.14\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e\u003cstrong\u003e(0.50, 2.59)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eAsked the last online partner\u0026rsquo;s HIV status before meeting in person\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.48, 2.59)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e1.04\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.42, 2.56)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"42.88747346072187%\"\u003e\n \u003cp\u003e\u003cstrong\u003eHIV related knowledge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003e\u003cstrong\u003eScore of HIV related knowledge\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003e6-8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003e\u0026lt;6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e1.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.49, 3.77)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e\u003cstrong\u003e1.58\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.53, 4.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eUsing condoms correctly can reduce the risk of HIV infection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003eNo or Unknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e0.57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e(0.13, 2.83)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e0.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e(0.11. 2.75)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"42.88747346072187%\"\u003e\n \u003cp\u003eHaving sex with one partner can reduce the risk of HIV infection\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.26963906581741%\"\u003e\n \u003cp\u003eNo or Unknown\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.129511677282379%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.571125265392782%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.146496815286625%\"\u003e\n \u003cp\u003eRef.\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.995753715498939%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"23.234200743494423%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.985130111524164%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.34*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.260223048327138%\"\u003e\n \u003cp\u003e\u003cstrong\u003e（\u003c/strong\u003e\u003cstrong\u003e0.14, 0.84)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.516728624535315%\"\u003e\n \u003cp\u003e\u003cstrong\u003e0.30*\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"21.00371747211896%\"\u003e\n \u003cp\u003e\u003cstrong\u003e(0.11, 0.81)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" width=\"100%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003csup\u003ea\u003c/sup\u003e\u003c/strong\u003e STIs, sexually transmitted infections.HIV, human immunodeficiency virus. OR, odds ratios. CI，confidence interval.\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u003csup\u003eb\u0026nbsp;\u003c/sup\u003e\u003c/strong\u003eAdjusted age, clinic type, marital status，have babies\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" width=\"100%\"\u003e\n \u003cp\u003e*\u003cem\u003eP\u003c/em\u003e value \u0026lt;0.05, **\u003cem\u003eP\u003c/em\u003e value \u0026lt;0.01，\u0026nbsp;***\u003cem\u003eP\u003c/em\u003e value \u0026lt;0.001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5. Sex patterns with the last online partners among heterosexual men who met last online partner within and over one week after meeting through the internet, 2018\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\" width=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" rowspan=\"3\" width=\"46.98275862068966%\"\u003e\n \u003cp\u003e \u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" width=\"44.827586206896555%\"\u003e\n \u003cp\u003e\u003cstrong\u003eDuration between first meeting online and in-person\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eP\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"2\" width=\"45.43269230769231%\"\u003e\n \u003cp\u003e\u003cstrong\u003eOne week or less (N=78)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"2\" width=\"54.56730769230769%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMore than one week (N=110)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.596153846153847%\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.83653846153846%\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"25%\"\u003e\n \u003cp\u003e\u003cstrong\u003en\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"29.567307692307693%\"\u003e\n \u003cp\u003e\u003cstrong\u003e%\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"4\" valign=\"top\" width=\"33.72844827586207%\"\u003e\n \u003cp\u003eTime since to the start of seeking sex online\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e\u0026lt; 6 months\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.129310344827585%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.237068965517242%\"\u003e\n \u003cp\u003e23.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.206896551724139%\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e8.18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"4\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026lt;0.001\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e6 months-1 year\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e29.49\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e15.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e1-3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e33.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e40.00\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e\u0026gt; 3 years\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e14.10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e34.55\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" valign=\"top\" width=\"33.72844827586207%\"\u003e\n \u003cp\u003eNumber of sex partners found online in the last 4 weeks\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.129310344827585%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.237068965517242%\"\u003e\n \u003cp\u003e23.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.206896551724139%\"\u003e\n \u003cp\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e15.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e0.99\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e2 to 3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e46.15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e32\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e29.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003eAbove 4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e2.56\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e1.82\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"33.72844827586207%\"\u003e\n \u003cp\u003eUsed condom with the last partner met online in the last sex\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.129310344827585%\"\u003e\n \u003cp\u003e57\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.237068965517242%\"\u003e\n \u003cp\u003e73.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.206896551724139%\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e64.55\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e26.92\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e39\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e35.45\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"33.72844827586207%\"\u003e\n \u003cp\u003eNegotiated about condom use with the last online partner before meeting in person\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.129310344827585%\"\u003e\n \u003cp\u003e15\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.237068965517242%\"\u003e\n \u003cp\u003e19.23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.206896551724139%\"\u003e\n \u003cp\u003e23\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e20.91\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e0.92\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e63\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e80.77\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e87\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e79.09\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" width=\"33.72844827586207%\"\u003e\n \u003cp\u003eAsked the last online partner\u0026rsquo;s HIV status before meeting in person?\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003eYes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.129310344827585%\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.237068965517242%\"\u003e\n \u003cp\u003e8.97\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.206896551724139%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.254310344827585%\"\u003e\n \u003cp\u003e9.09\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"2\" width=\"8.189655172413794%\"\u003e\n \u003cp\u003e0.98\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003eNo\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.43970315398887%\"\u003e\n \u003cp\u003e71\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.625231910946198%\"\u003e\n \u003cp\u003e91.03\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.29499072356215%\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"22.820037105751393%\"\u003e\n \u003cp\u003e90.91\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"archives-of-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aoph","sideBox":"Learn more about [Archives of Public Health](http://archpublichealth.biomedcentral.com/)","snPcode":"13690","submissionUrl":"https://submission.nature.com/new-submission/13690/3","title":"Archives of Public Health","twitterHandle":"@Archpubhealth","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Online sex-seeking, Sexual behavior, Heterosexual men, Sexually transmitted infection","lastPublishedDoi":"10.21203/rs.3.rs-774273/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-774273/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003eThe Internet has become an important virtual venue for men who have sex with men to seek sexual partners, with a high potential threat to spread sexually transmitted infections (STIs). However,the onlinesex-seeking use and its risk causing STIs spread remain unclear among heterosexual men.\u003cstrong\u003e \u003c/strong\u003eWe conducted a cross-sectional study to investigate the use of online sex-seeking venues and the related risky sex activities (e.g. condomless sex, quick sex) in STIs clinics in Guangdong, China. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eThese STIs clinics were involved in the Guangdong governmental sentinel network and we recruited heterosexual men (age \u0026gt;= 18) between March and August 2018. Multivariable logistic regression models were used to identify the factors associated with online sex-seeking use and risky sex activities with online sex partners. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003e191 of 2,154 participants (8.9%) ever sought sex online. Among users,16.8% met their partners in-person within 24 hours, 31.4% engaged in condomless sex with their last online partner. Online sex-seeking was positively associated with a) previous STIs diagnosis (a\u003cem\u003eOR\u003c/em\u003e=3.0, 95%CI:2.0-4.6), and b)having casual partners in the last three months (a\u003cem\u003eOR\u003c/em\u003e=3.3, 95%CI 2.4-4.6). Condomless sex with the last online partner was negatively associated with the correct answer of “having only one partner can reduce the risk to infect HIV” (a\u003cem\u003eOR\u003c/em\u003e=0.3, 95%\u003cem\u003eCI\u003c/em\u003e:0.1-0.8). \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003eIn China, online sex-seeking and its related risky sexual activities are not rare among heterosexual men. Future prevention strategies to reduce STIs incidence should especially target heterosexual men engaging in online sex-seeking.\u003c/p\u003e","manuscriptTitle":"Online Sex-Seeking Among Chinese Heterosexual Men Who Seek Care in Stis Clinics: A Cross-Sectional Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-08-30 20:57:12","doi":"10.21203/rs.3.rs-774273/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2022-02-09T21:24:53+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2021-09-26T16:17:24+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2021-08-18T07:00:30+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2021-08-17T23:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2021-08-17T23:00:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"Archives of Public Health","date":"2021-08-01T21:06:31+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"archives-of-public-health","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"aoph","sideBox":"Learn more about [Archives of Public Health](http://archpublichealth.biomedcentral.com/)","snPcode":"13690","submissionUrl":"https://submission.nature.com/new-submission/13690/3","title":"Archives of Public Health","twitterHandle":"@Archpubhealth","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"6963f0a5-9860-48e2-82e3-f0db9dd81b7b","owner":[],"postedDate":"August 30th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":6822338,"name":"Health Economics \u0026 Outcomes Research"},{"id":6822339,"name":"Health Policy"}],"tags":[],"updatedAt":"2022-05-22T23:50:54+00:00","versionOfRecord":[],"versionCreatedAt":"2021-08-30 20:57:12","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-774273","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-774273","identity":"rs-774273","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}