Aral S O, Hughes J P, Stoner B, Whittington W, Handsfield H H, Anderson R M, Holmes K K
Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Am J Public Health. 1999 Jun;89(6):825-33. doi: 10.2105/ajph.89.6.825.
This study sought to define, among sexually transmitted disease (STD) clinic attendees, (1) patterns of sex partner selection, (2) relative risks for gonococcal or chlamydial infection associated with each mixing pattern, and (3) selected links and potential and actual bridge populations.
Mixing matrices were computed based on characteristics of the study participants and their partners. Risk of infection was determined in study participants with various types of partners, and odds ratios were used to estimate relative risk of infection for discordant vs concordant partnerships.
Partnerships discordant in terms of race/ethnicity, age, education, and number of partners were associated with significant risk for gonorrhea and chlamydial infection. In low-prevalence subpopulations, within-subpopulation mixing was associated with chlamydial infection, and direct links with high-prevalence subpopulations were associated with gonorrhea.
Mixing patterns influence the risk of specific infections, and they should be included in risk assessments for individuals and in the design of screening, health education, and partner notification strategies for populations.
本研究旨在确定性传播疾病（STD）门诊就诊者中的（1）性伴侣选择模式，（2）与每种混合模式相关的淋病或衣原体感染的相对风险，以及（3）选定的联系人群和潜在及实际的桥梁人群。
根据研究参与者及其伴侣的特征计算混合矩阵。确定有不同类型伴侣的研究参与者的感染风险，并使用比值比来估计不一致与一致伴侣关系的相对感染风险。
在种族/民族、年龄、教育程度和伴侣数量方面不一致的伴侣关系与淋病和衣原体感染的显著风险相关。在低流行亚人群中，亚人群内部的混合与衣原体感染相关，与高流行亚人群的直接联系与淋病相关。
混合模式影响特定感染的风险，应将其纳入个体风险评估以及人群筛查、健康教育和性伴侣通知策略的设计中。
