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Grulich AE de Visser RO Badcock PB Smith AM Heywood W Richters J et al
Homosexual experience and recent homosexual encounters: the Second Australian Study of Health and Relationships.
Vodstrcil LA Fairley CK Fehler G Leslie D Walker J Bradshaw CS et al
Trends in chlamydia and gonorrhea positivity among heterosexual men and men who have sex with men attending a large urban sexual health service in Australia, 2002–2009.
Beymer MR Weiss RE Bolan RK Rudy ET Bourque LB Rodriguez JP et al
Sex on demand: geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles County.
Cornelisse VJ Chow EP Chen MY Bradshaw CS Fairley CK
Summer heat: a cross-sectional analysis of seasonal differences in sexual behaviour and sexually transmissible diseases in Melbourne, Australia
Doherty IA Schoenbach VJ Adimora AA
Sexual mixing patterns and heterosexual HIV transmission among African Americans in the southeastern United States.
Chow EP Tomnay J Fehler G Whiley D Read TR Denham I et al
Substantial increases in chlamydia and gonorrhea positivity unexplained by changes in individual-level sexual behaviors among men who have sex with men in an Australian sexual health service from 2007 to 2013.
Bohl DD McFarland W Raymond HF
Improved measures of racial mixing among men who have sex with men using Newman’s assortativity coefficient.
Prah P Copas AJ Mercer CH Nardone A Johnson AM
Patterns of sexual mixing with respect to social, health and sexual characteristics among heterosexual couples in England: analyses of probability sample survey data.
Chow EP Dutt K Fehler G Denham I Chen MY Batrouney C et al
Duration of syphilis symptoms at presentations in men who have sex with men in Australia: are current public health campaigns effective?
Wilson DP
Modelling based on Australian HIV notifications data suggests homosexual age mixing is primarily assortative.
Chow EP Fairley CK
Assortative sexual mixing among heterosexual population in Australia: implications for herd protection in males from female human papillomavirus vaccination programme.
Young SK Lyles RH Kupper LL Keys JR Martin SL Costenbader EC
Assortativity coefficient-based estimation of population patterns of sexual mixing when cluster size is informative.
Newman ME
Mixing patterns in networks.
Chow EP Cornelisse VJ Read TR Hocking JS Walker S Chen MY et al
Risk practices in the era of smartphone apps for meeting partners: a cross-sectional study among men who have sex with men in Melbourne, Australia.
Badcock PB Smith AM Richters J Rissel C de Visser RO Simpson JM et al
Characteristics of heterosexual regular relationships among a representative sample of adults: the Second Australian Study of Health and Relationships.
Chow EP Fehler G Chen MY Bradshaw CS Denham I Law MG et al
Testing commercial sex workers for sexually transmitted infections in Victoria, Australia: an evaluation of the impact of reducing the frequency of testing.
Barlow D Daker-White G Band B
Assortative sexual mixing in a heterosexual clinic population–a limiting factor in HIV spread?
Background: Assortative mixing patterns have become a new and important focus in HIV/sexually transmissible infection (STI) research in recent years. There are very limited data on sexual mixing patterns, particularly in an Australian population. Methods: Malefemale and malemale partnerships attending the Melbourne Sexual Health Centre (MSHC) between 2011 and 2014 were included. Correlation of age between two individuals within a partnership was examined by using Spearmans rank correlation. The Newmans assortativity coefficient was used as an aggregate quantitative measurement of sexual mixing for number of partners and condom use. Results: 1165 malefemale and 610 malemale partnerships were included in the analysis. There was a strong positive correlation of age in both malefemale (rho=0.709 P<0.001) and malemale partnerships (rho=0.553 P<0.001). The assortative mixing pattern for number of partners was similar in malefemale (r=0.255 95% CI: 0.2210.289) and malemale partnerships (r=0.264 95% CI: 0.2180.309). There was a stronger assortative mixing pattern for condom use in malemale (r=0.517, 95% CI: 0.4650.569) compared with malefemale (r=0.382 95% CI: 0.3530.412) partnerships. Conclusion: Malefemale and malemale partnerships have a high assortativity mixing pattern for age, number of partners and condom use. The sexual mixing pattern is not purely assortative, and hence it may lead to increased HIV and STI transmission in certain risk groups.
Sexual Health – CSIRO Publishing
Published: Jul 29, 2016
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