Center for Microbiology Research, Kenya Medical Research Institute, Kisumu, Kenya.
PLoS One. 2013;8(1):e54523. doi: 10.1371/journal.pone.0054523. Epub 2013 Jan 15.
Mobility has long been associated with high HIV prevalence. We sought to assess sex differences in the relationship between mobility and risk for HIV infection among married couples in the fishing communities.
We conducted 1090 gender-matched interviews and rapid HIV testing with 545 couples proportionally representing all the different sizes of the fish-landing beaches in Kisumu County. We contacted a random sample of fishermen as our index participants and asked them to enroll in the study together with their spouses. The consenting couples were separated into different private rooms for concurrent interviews and thereafter reunited for couple rapid HIV counselling and testing. In addition to socio-economic and behavioural data, we collected information on overnight travels and divided couples in 4 groups as follows both partners not mobile, both partners mobile, only woman mobile, and only man mobile. Other than descriptive statistics, we used X(2) and U tests to compare groups of variables and multivariate logistic regression to measure association between mobility and HIV infection.
We found significant differences in the number of trips women travelled in the preceding month (mean 4.6, SD 7.1) compared to men (mean 3.3, SD 4.9; p<0.01) and when the women did travel, they were more likely to spend more days away from home than their male partners (mean 5.2 [SD 7.2] versus 3.4 SD 5.6; p = 0.01). With an HIV prevalence of 22.7% in women compared to 20.9% among men, mobile women who had non-mobile spouses had 2.1 times the likelihood of HIV infection compared to individuals in couples where both partners were non-mobile.
The mobility of fishermen's spouses is associated with HIV infection that is not evident among fishermen themselves. Therefore, interventions in this community could be a combination of sex-specific programming that targets women and combined programming for couples.
长期以来,流动性一直与 HIV 高流行率有关。我们试图评估在基苏木县渔业社区的已婚夫妇中,流动性与 HIV 感染风险之间的性别差异。
我们对 545 对夫妇进行了 1090 次性别匹配的访谈和快速 HIV 检测,这些夫妇按比例代表基苏木县所有不同大小的鱼码头海滩。我们随机选择渔民作为我们的索引参与者,并要求他们与配偶一起参加研究。同意的夫妇被分成不同的私人房间进行同时访谈,然后重新团聚进行夫妇快速 HIV 咨询和检测。除了社会经济和行为数据外,我们还收集了关于夜间旅行的信息,并将夫妇分为 4 组:双方都不流动、双方都流动、只有女性流动、只有男性流动。除了描述性统计,我们还使用 X(2)和 U 检验来比较组间变量,并用多变量逻辑回归来衡量流动性与 HIV 感染之间的关联。
我们发现,与男性相比,女性在前一个月旅行的次数明显更多(平均值 4.6,标准差 7.1),而且当女性旅行时,她们离家的天数比男性伴侣更有可能更多(平均值 5.2 [标准差 7.2] 与 3.4 标准差 5.6;p = 0.01)。女性的 HIV 感染率为 22.7%,而男性为 20.9%,因此,与配偶都不流动的个体相比,流动的女性如果配偶不流动,其 HIV 感染的可能性是前者的 2.1 倍。
渔民配偶的流动性与 HIV 感染有关,而渔民本身的 HIV 感染并不明显。因此,该社区的干预措施可以是针对女性的性别特异性方案和针对夫妇的综合方案的结合。