Youm Yoosik, Laumann Edward O
Department of Sociology, University of Illinois at Chicago, Illinois 60607, USA.
Sex Transm Dis. 2002 Nov;29(11):689-97. doi: 10.1097/00007435-200211000-00012.
Only a limited number of studies have examined the effects of social networks on sexually transmitted diseases (STDs), although the findings of such studies would be helpful in designing more effective prevention strategies.
This study attempts (1) to determine whether there are any social network effects on STD transmission after controlling for other risk factors and (2) to explore the possible mechanisms by which social networks exert their effects.
Logistic regressions examine the effects of friendship networks on STD transmission using data drawn from the Chicago Health and Social Life Survey (CHSLS). Additional logistic regressions probe the possible mechanisms (social control versus information and dyadic versus third party) that account for how the observed effects of networks might arise.
Among people who had fewer than 13 lifetime sex partners, those with no social friends were only 0.4 times as likely to be infected as those with one or more social friends. Among people who had 13 or more lifetime partners, those with many friends (5 or 6) but weak ties to them (talking less than once a day with them) were only 0.2 times as likely to be infected as those with either fewer friends or stronger ties to their friends. Additional regressions suggest that network effects resting on dyadic control prevail among those with fewer than 13 lifetime sex partners. In contrast, network effects resting on information exchange among third parties prevail among those with 13 or more lifetime partners.
尽管此类研究的结果有助于设计更有效的预防策略，但仅有有限数量的研究考察了社交网络对性传播疾病（STD）的影响。
本研究试图（1）在控制其他风险因素后，确定社交网络对性传播疾病传播是否存在任何影响，以及（2）探索社交网络发挥其影响的可能机制。
使用从芝加哥健康与社会生活调查（CHSLS）中获取的数据，通过逻辑回归分析友谊网络对性传播疾病传播的影响。额外的逻辑回归分析探究了可能的机制（社会控制与信息，二元关系与第三方关系），以解释观察到的网络影响是如何产生的。
在终生性伴侣少于13人的人群中，没有社交朋友的人感染的可能性仅为有一个或多个社交朋友的人的0.4倍。在终生性伴侣为13人或更多的人群中，有很多朋友（5个或6个）但与他们关系薄弱（每天交谈少于一次）的人感染的可能性仅为朋友较少或与朋友关系较强的人的0.2倍。额外的回归分析表明，在终生性伴侣少于13人的人群中，基于二元控制的网络影响占主导。相比之下，在终生性伴侣为13人或更多的人群中，基于第三方之间信息交流的网络影响占主导。
