Sexual Mixing Patterns of Patients Attending Sexually Transmitted Diseases Clinics

Background: Theoretical studies have highlighted the importance of patterns of choice of sex partner in the transmission and persistence of sexually transmitted diseases (STDs). Goal: To describe reported patterns of sexual mixing according to numbers of sex partners in STD clinics. Study Design: Patients attending public health clinics in Seattle, Washington were interviewed about their own and their partners' behaviors. Results: Throughout, patterns of sexual mixing were weakly assortative. Across activity groups, many respondents believed their partners had no other sexual contacts. Those with three or more partners frequently perceived their partners to have three or more partners as well. Conclusions: Assortatively mixing persons of high sexual activity makes the persistence of STDs within a population likely (i.e., they act as a “core group”). Additionally, because mixing is not highly assortative (like with like), a steady trickle of infection from members of the core group will pass to other segments of the population.

[1]  David R. Scott,et al.  Determinants of Genital Human Papillomavirus Infection in Low‐Risk Women in Portland, Oregon , 1993, Sexually transmitted diseases.

[2]  Estimation of a preference matrix for women's choice of male sexual partner according to rate of partner change, using partner notification data. , 1991, Mathematical biosciences.

[3]  Frederick Mosteller,et al.  Statistical Problems of the Kinsey Report , 1953 .

[4]  Kaye Wellings,et al.  Sexual lifestyles and HIV risk , 1992, Nature.

[5]  R. Rothenberg,et al.  Temporal and Social Aspects of Gonorrhea Transmission: the Force of Infectivity , 1988, Sexually transmitted diseases.

[6]  A. Nahmias,et al.  Sero-epidemiological and -sociological patterns of herpes simplex virus infection in the world. , 1990, Scandinavian journal of infectious diseases. Supplementum.

[7]  R M May,et al.  A preliminary study of the transmission dynamics of the human immunodeficiency virus (HIV), the causative agent of AIDS. , 1986, IMA journal of mathematics applied in medicine and biology.

[8]  Acsf investigators AIDS and sexual behaviour in France , 1992 .

[9]  R. May,et al.  Networks of sexual contacts: implications for the pattern of spread of HIV , 1989, AIDS.

[10]  M. Morris,et al.  Telling tails explain the discrepancy in sexual partner reports , 1993, Nature.

[11]  R. Rothenberg,et al.  The geography of gonorrhea. Empirical demonstration of core group transmission. , 1983, American journal of epidemiology.

[12]  Robert M. May,et al.  Epidemiological parameters of HI V transmission , 1988, Nature.

[13]  R. Anderson,et al.  Contact Tracing and the Estimation of Sexual Mixing Patterns: The Epidemiology of Gonococcal Infections , 1993, Sexually transmitted diseases.

[14]  Lisa Sattenspiel,et al.  Modeling and analyzing HIV transmission: the effect of contact patterns , 1988 .

[15]  R. Rothenberg,et al.  Gonorrhea as a Social Disease , 1985, Sexually transmitted diseases.

[16]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[17]  M. Morris,et al.  A log-linear modeling framework for selective mixing. , 1991, Mathematical biosciences.

[18]  R M May,et al.  Age-dependent choice of sexual partners and the transmission dynamics of HIV in Sub-Saharan Africa. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.