Suppr超能文献

英国与男性发生性行为的男性:自我选择的互联网样本与全国概率样本的比较。

Men who have sex with men in Great Britain: comparison of a self-selected internet sample with a national probability sample.

作者信息

Evans Alison Ruth, Wiggins Richard D, Mercer Catherine H, Bolding Graham J, Elford Jonathan

机构信息

City University, School of Social Sciences and Institute of Health Sciences, London, UK.

出版信息

Sex Transm Infect. 2007 Jun;83(3):200-5; discussion 205. doi: 10.1136/sti.2006.023283.

Abstract

OBJECTIVES

To compare the characteristics of a self-selected, convenience sample of men who have sex with men (MSM) recruited through the internet with MSM drawn from a national probability survey in Great Britain.

METHODS

The internet sample (n = 2065) was recruited through two popular websites for homosexual men in Great Britain in May and June 2003. This sample was compared with MSM (n = 117) from the National Survey of Sexual Attitudes and Lifestyles (Natsal), a probability sample survey of adults resident in Great Britain conducted between May 1999 and February 2001.

RESULTS

No significant differences were observed between the samples on a range of sociodemographic and behavioural variables (p>0.05). However, men from the internet sample were younger (p<0.001) and more likely to be students (p = 0.001), but less likely to live in London (p = 0.001) or report good health (p = 0.014). Although both samples were equally likely to report testing for HIV, men from the internet sample were more likely to report a sexually transmitted infection in the past year (16.9% v 4.8%, adjusted odds ratio 4.14, 95% CI 1.76 to 9.74; p = 0.001), anal intercourse (76.9% v 63.3%; p = 0.001) and unprotected anal intercourse in the past 3 months (45% v 36.6%; p = 0.064).

CONCLUSIONS

The internet provides a means of recruiting a self-selected, convenience sample of MSM whose social and demographic characteristics are broadly similar to those of MSM drawn from a national probability survey. However, estimates of high-risk sexual behaviour based on internet convenience samples are likely to overestimate levels of sexual risk behaviour in the wider MSM population.

摘要

目的

比较通过互联网招募的男男性行为者(MSM)自选择便利样本与从英国全国概率调查中抽取的MSM的特征。

方法

互联网样本(n = 2065)于2003年5月和6月通过英国两个受欢迎的同性恋男性网站招募。将该样本与来自性态度和生活方式全国调查(Natsal)的MSM(n = 117)进行比较,Natsal是1999年5月至2001年2月对居住在英国的成年人进行的概率抽样调查。

结果

在一系列社会人口统计学和行为变量上,样本之间未观察到显著差异(p>0.05)。然而,互联网样本中的男性更年轻(p<0.001),更有可能是学生(p = 0.001),但居住在伦敦的可能性较小(p = 0.001)或报告健康状况良好的可能性较小(p = 0.014)。尽管两个样本报告进行HIV检测的可能性相同,但互联网样本中的男性在过去一年中报告性传播感染的可能性更高(16.9%对4.8%,调整后的优势比为4.14,95%置信区间为1.76至9.74;p = 0.001),过去3个月内进行肛交的可能性更高(76.9%对63.3%;p = 0.001)以及进行无保护肛交的可能性更高(45%对36.6%;p = 0.064)。

结论

互联网提供了一种招募自选择便利样本的MSM的方法,其社会和人口特征与从全国概率调查中抽取的MSM大致相似。然而,基于互联网便利样本对高风险性行为的估计可能会高估更广泛的MSM人群中的性风险行为水平。

相似文献

1
Men who have sex with men in Great Britain: comparison of a self-selected internet sample with a national probability sample.
Sex Transm Infect. 2007 Jun;83(3):200-5; discussion 205. doi: 10.1136/sti.2006.023283.
2
Men who have sex with men in Great Britain: comparing methods and estimates from probability and convenience sample surveys.
Sex Transm Infect. 2016 Sep;92(6):455-63. doi: 10.1136/sextrans-2015-052389. Epub 2016 Mar 10.
6
Web-based behavioral surveillance among men who have sex with men: a comparison of online and offline samples in London, UK.
J Acquir Immune Defic Syndr. 2004 Apr 1;35(4):421-6. doi: 10.1097/00126334-200404010-00012.
7
The Internet and HIV study: design and methods.
BMC Public Health. 2004 Sep 1;4:39. doi: 10.1186/1471-2458-4-39.
10

引用本文的文献

1
Latin American Internet Survey for Men who have Sex with Men (LAMIS-2018): Design, methods and implementation.
PLoS One. 2022 Nov 17;17(11):e0277518. doi: 10.1371/journal.pone.0277518. eCollection 2022.
3
Measures of the Degree of Departure from Ignorable Sample Selection.
J Surv Stat Methodol. 2020 Nov;8(5):932-964. doi: 10.1093/jssam/smz023. Epub 2019 Aug 29.
4
Indices of non-ignorable selection bias for proportions estimated from non-probability samples.
J R Stat Soc Ser C Appl Stat. 2019 Nov;68(5):1465-1483. doi: 10.1111/rssc.12371. Epub 2019 Aug 2.
5
PrEP Interest Among Men Who Have Sex with Men in the Netherlands: Covariates and Differences Across Samples.
Arch Sex Behav. 2020 Aug;49(6):2155-2164. doi: 10.1007/s10508-019-01620-x. Epub 2020 Mar 2.
7
Estimation of the Population Size of Men Who Have Sex With Men in Vietnam: Social App Multiplier Method.
JMIR Public Health Surveill. 2019 Apr 17;5(2):e12451. doi: 10.2196/12451.
9
Correlates of recent HIV infection among men who have sex with men recruited through the internet in Huzhou City, Eastern China.
J Int Med Res. 2018 Dec;46(12):5052-5061. doi: 10.1177/0300060518789813. Epub 2018 Aug 13.
10
Comparing substance use and mental health outcomes among sexual minority and heterosexual women in probability and non-probability samples.
Drug Alcohol Depend. 2018 Apr 1;185:285-292. doi: 10.1016/j.drugalcdep.2017.12.036. Epub 2018 Feb 21.

本文引用的文献

1
Increases in HIV-related sexual risk behavior among community samples of gay men in London and Glasgow: how do they compare?
J Acquir Immune Defic Syndr. 2006 Jun;42(2):238-41. doi: 10.1097/01.qai.0000214816.03411.c9.
2
Meta-analytic examination of online sex-seeking and sexual risk behavior among men who have sex with men.
Sex Transm Dis. 2006 Sep;33(9):576-84. doi: 10.1097/01.olq.0000204710.35332.c5.
3
Men who have sex with men: a comparison of a probability sample survey and a community based study.
Sex Transm Infect. 2006 Feb;82(1):86-7. doi: 10.1136/sti.2005.015248.
4
High-risk sexual behaviour among London gay men: no longer increasing.
AIDS. 2005 Dec 2;19(18):2171-4. doi: 10.1097/01.aids.0000194133.28135.03.
6
Gay men who look for sex on the Internet: is there more HIV/STI risk with online partners?
AIDS. 2005 Jun 10;19(9):961-8. doi: 10.1097/01.aids.0000171411.84231.f6.
8
9
Substance use and high-risk sex among men who have sex with men: a national online study in the USA.
AIDS Care. 2004 Nov;16(8):1036-47. doi: 10.1080/09540120412331292525.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验