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.
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.
Authors: Lisa M Williamson; Julie P Dodds; Danielle E Mercey; Anne M Johnson; Graham J Hart Journal: J Acquir Immune Defic Syndr Date: 2006-06 Impact factor: 3.731
Authors: Paul Van de Ven; Limin Mao; Andrea Fogarty; Patrick Rawstorne; June Crawford; Garrett Prestage; Andrew Grulich; John Kaldor; Susan Kippax Journal: AIDS Date: 2005-01-28 Impact factor: 4.177
Authors: Rebecca R Andridge; Brady T West; Roderick J A Little; Philip S Boonstra; Fernanda Alvarado-Leiton Journal: J R Stat Soc Ser C Appl Stat Date: 2019-08-02 Impact factor: 1.864
Authors: Jonathan Elford; Eamonn McKeown; Rita Doerner; Simon Nelson; Nicola Low; Jane Anderson Journal: BMC Public Health Date: 2010-07-14 Impact factor: 3.295
Authors: Sheri A Lippman; André R S Périssé; Valdiléa G Veloso; Patrick S Sullivan; Susan Buchbinder; R Craig Sineath; Beatriz Grinsztejn Journal: Cad Saude Publica Date: 2014-04 Impact factor: 1.632
Authors: Laurie A Drabble; Karen F Trocki; Rachael A Korcha; Jamie L Klinger; Cindy B Veldhuis; Tonda L Hughes Journal: Drug Alcohol Depend Date: 2018-02-21 Impact factor: 4.492