Johns Hopkins University School of Medicine, Department of Pediatrics, Baltimore, MD, USA.
Ann Epidemiol. 2010 Jul;20(7):532-8. doi: 10.1016/j.annepidem.2010.03.016.
Sexually transmitted infection (STI) transmission models propose that incident STIs are related to exposure to infected sex partners. The objective of this study was to determine whether the prevalence of STIs among the available pool of sex partners in a neighborhood, measured indirectly, is an independent determinant of a current incident STI.
The target population comprised 58,299 English-speaking, sexually active 15- to 24-year-olds in 486 census block groups (CBGs) in Baltimore, MD. A sample of 65 CBGs was selected using a stratified, systematic, probability-proportional-to-size strategy and 13,873 households were randomly selected. From 2004 through 2007, research assistants administered an audio computer-assisted interview survey and collected biologic samples for gonorrhea and chlamydia testing.
The final sample size included 575 participants from 63 CBGs. Additional data provided gonorrhea prevalence from 2004 through 2005 per 15- to 49-year-old persons per 100,000 per CBG. After adjustment for individual-level STI risk factors in a multilevel probability model, adolescents and young adults living in high (vs. low) prevalence STI areas were 4.73 times (95% confidence interval [CI]: 3.65-6.15) more likely to have a current incident STI.
To inform prevention programs, future research should focus on identifying mechanisms through which context causes changes in local sexual networks and their STI prevalence.
性传播感染(STI)传播模型提出,新发 STI 与接触感染性伴侣有关。本研究的目的是确定间接测量的社区中现有性伴侣群体中的 STI 患病率是否是当前新发 STI 的独立决定因素。
目标人群包括马里兰州巴尔的摩市 486 个普查街区组(CBG)中 58299 名讲英语、活跃的 15-24 岁人群。采用分层、系统、按比例概率抽样策略选择了 65 个 CBG 样本,并随机选择了 13873 户家庭。在 2004 年至 2007 年期间,研究助理进行了音频计算机辅助访谈调查,并采集了淋病和衣原体检测的生物样本。
最终样本量包括来自 63 个 CBG 的 575 名参与者。额外的数据提供了 2004 年至 2005 年每 15-49 岁人群每 10 万居民每 CBG 的淋病患病率。在多水平概率模型中调整个体 STI 风险因素后,生活在高(低)流行 STI 地区的青少年和年轻人发生当前新发 STI 的可能性是 4.73 倍(95%置信区间:3.65-6.15)。
为了为预防计划提供信息,未来的研究应重点关注识别通过何种机制导致环境改变当地的性网络及其 STI 患病率。