A comparison of four sampling methods among men having sex with men in China: implications for HIV/STD surveillance and prevention.

A comparison of four sampling methods among men having sex with men in China: implications for HIV/STD surveillance and prevention.
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DOI:
10.1080/09540121.2011.565029
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发表时间:
2011-11
期刊:
影响因子:
1.7
通讯作者:
Stanton B
Stanton B
中科院分区:
医学4区
文献类型:
--
作者:
Guo Y;Li X;Fang X;Lin X;Song Y;Jiang S;Stanton B

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样本的代表性仍然是全球针对男男性行为者的有效艾滋病毒/性病监测和预防的挑战之一。虽然便利样本被广泛用于MSM的研究,以前的研究表明,这些样本可能不代表更广泛的MSM人群。这一问题在许多发展中国家变得更加严重,因为进行概率抽样所需的资源有限。我们研究了2009年在中国北京使用四种不同的便利抽样方法(同伴外展,非正式社交网络,互联网和场所为基础)招募的307名年轻流动MSM中的HIV和梅毒感染以及社会人口学和行为因素的变化。参与者完成了一项自我管理的调查,并提供了用于艾滋病毒/性病检测的血液样本。不同招募方式的4个MSM样本中,HIV感染率分别为5.1%、5.8%、7.8%、3.4%,梅毒感染率分别为21.8%、36.2%、11.8%、13.8%,安全套使用不一致率分别为57%、52%、58%、38%。在各种社会人口特征(例如,年龄、移民历史、教育、收入、就业地点)和风险行为(例如,第一次性行为的年龄、性伴侣的数量、商业性行为的参与和药物使用)。研究结果证实了获得具有代表性的MSM样本的挑战,并强调了使用多种抽样方法来接触来自不同背景和不同社会阶层的MSM的重要性,并在使用概率抽样方法不可行时提高MSM样本的代表性。
Sample representativeness remains one of the challenges in effective HIV/STD surveillance and prevention targeting MSM worldwide. Although convenience samples are widely used in studies of MSM, previous studies suggested that these samples might not be representative of the broader MSM population. This issue becomes even more critical in many developing countries where needed resources for conducting probability sampling are limited. We examined variations in HIV and Syphilis infections and sociodemographic and behavioral factors among 307 young migrant MSM recruited using four different convenience sampling methods (peer outreach, informal social network, Internet, and venue-based) in Beijing, China in 2009. The participants completed a self-administered survey and provided blood specimens for HIV/STD testing. Among the four MSM samples using different recruitment methods, rates of HIV infections were 5.1%, 5.8%, 7.8%, and 3.4%; rates of Syphilis infection were 21.8%, 36.2%, 11.8%, and 13.8%; rates of inconsistent condom use were 57%, 52%, 58%, and 38%. Significant differences were found in various sociodemographic characteristics (e.g., age, migration history, education, income, places of employment) and risk behaviors (e.g., age at first sex, number of sex partners, involvement in commercial sex, and substance use) among samples recruited by different sampling methods. The results confirmed the challenges of obtaining representative MSM samples and underscored the importance of using multiple sampling methods to reach MSM from diverse backgrounds and in different social segments and to improve the representativeness of the MSM samples when the use of probability sampling approach is not feasible.
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