Staras Stephanie A S, Cook Robert L, Clark Duncan B
Department of Epidemiology and Health Policy Research, School of Medicine, University of Florida, Gainesville, Florida 32608, USA.
Sex Transm Dis. 2009 Apr;36(4):232-8. doi: 10.1097/OLQ.0b013e3181901e32.
Among adolescents and young adults, the extent that partner characteristics account for sexually transmitted diseases (STDs) in context of individual sexual activities and demographic characteristics is unclear.
Sexual partner characteristics, individual sexual activities, and STD diagnosis were assessed among 15 to 24-year-old STD clinic attendees from 1999 to 2002 (n = 412). We used exact logistic regression to calculate odds ratios (OR) for several sexual partner characteristics (age discordance, incarceration, STD diagnosis, other partners, alcohol problem, marijuana problem, and a calculated composite variable) adjusting for demographics and individual sexual activities, including condom use.
Sexual partner characteristics associated with STD diagnosis were >or=5 years age discordance [OR = 2.6 (95% confidence interval (CI) = 1.6, 4.5)] and STD in the past year [OR = 3.4 (95% CI = 2.0, 5.7)]. Even when considering individual sexual activities, composite partner risk was associated with STD diagnosis [intermediate to low OR = 2.1 (95% CI = 1.0, 4.2) and high to low OR = 3.4 (95% CI = 1.6, 7.0)]. Composite individual sexual activities was associated with STD diagnosis when considering demographics [intermediate to low OR = 1.8 (95% CI = 1.0, 3.2), high to low OR = 2.3 (95% CI = 1.2, 4.5)], but not when also considering partner characteristics [intermediate to low OR = 1.6 (95% CI = 0.9, 2.8), high to low OR = 1.8 (95% CI = 0.8, 3.9)].
Among this sample of 15 to 24-year-olds, sexual partner characteristics identified individuals at increased risk of prevalent STDs and were more predictive of STDs than an individual's sexual activities.
在青少年和青年中,性伴侣特征在个体性活动及人口统计学特征背景下对性传播疾病(STD)的影响程度尚不清楚。
对1999年至2002年期间年龄在15至24岁的性病门诊就诊者(n = 412)进行性伴侣特征、个体性活动及性病诊断评估。我们使用精确逻辑回归计算几种性伴侣特征(年龄差异、监禁史、性病诊断、其他伴侣、酒精问题、大麻问题以及一个计算得出的综合变量)的比值比(OR),并对人口统计学和个体性活动进行调整,包括避孕套使用情况。
与性病诊断相关的性伴侣特征为年龄差异≥5岁[OR = 2.6(95%置信区间(CI)= 1.6, 4.5)]以及过去一年患有性病[OR = 3.4(95% CI = 2.0, 5.7)]。即使考虑个体性活动,综合伴侣风险仍与性病诊断相关[中低风险OR = 2.1(95% CI = 1.0, 4.2),高至低风险OR = 3.4(95% CI = 1.6, 7.0)]。在考虑人口统计学因素时,综合性个体性活动与性病诊断相关[中低风险OR = 1.8(95% CI = 1.0, 3.2),高至低风险OR = 2.3(95% CI = 1.2, 4.5)],但在同时考虑伴侣特征时则不相关[中低风险OR = 1.6(95% CI = 0.9, 2.8),高至低风险OR = 1.8(95% CI = 0.8, 3.9)]。
在这个15至24岁的样本中,性伴侣特征可识别出患有常见性病风险增加的个体,并且比个体的性活动更能预测性病。