乌干达东南部感染罗得西亚锥虫昏睡病的危险因素评估。病例对照研究。

M Okia, D B Mbulamberi, A De Muynck
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摘要

采用病例对照研究调查了乌干达东南部布索加疫区与感染罗得西亚锥虫昏睡病相关的主要危险因素。122例病例和244例匹配对照纳入研究。对每个病例选择两个年龄、性别和耐药性对照(1个匹配的近邻对照和1个村庄对照)。患者和对照组都回答了同样的调查问卷,调查问卷在实地研究开始前已经编制并进行了实地测试。采用1:2匹配病例对照设计的logistic回归模型对数据进行拟合。以下因素被发现具有显著性:病例比对照组在居住地外停留的时间更长,访问SS高危地区的次数比对照组多,在森林中收集柴火的次数比对照组多。一般而言,与对照相比,病例中在人蝇接触地点附近放牧的家畜较少,特别是在取水和柴火和洗澡点附近,以及在农场和花园附近。家族中有更多昏睡病的先例。一般来说,病例的信息网络不如对照组发达,在经济上属于一个权力较小的群体。根据这些结果,我们可以得出结论,发生布氏罗得西亚锥虫昏睡病的风险取决于多种经济、文化和人类行为因素。在规划和监测昏睡病控制规划时应考虑到这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk factors assessment for T. b. rhodesiense sleeping sickness acquisition in S.E. Uganda. A case-control study.

The major risk factors associated with acquisition of T. b. rhodesiense sleeping sickness in the Busoga focus, S.E. Uganda were investigated using a case-control study. 122 cases and 244 matched controls were used in the study. For each case two age-, sex- and resistance controls (1 matched nearest neighbour control and 1 village control) were selected. Patients and controls answered the same questionnaire which had been developed and field tested before the field study started. A logistic regression model for a 1:2 matched case control design was fit to the data. The following factors were found significant: cases spent more time outside their village of residence than controls and visited more SS high risk areas than controls, more cases than controls collected firewood in the forests. Generally, cases had less domestic animals grazing near the places of man-fly contact, especially near water and firewood collecting and bathing points, and near farms and gardens, than controls. Cases had more antecedents of sleeping sickness in the family. Generally cases had a less well developed information network than controls, and belonged economically to a less powerful group. Based on these results we may conclude that the risk to develop T.b. rhodesiense sleeping sickness depends upon a multitude of economical, cultural and human behaviour factors. These factors should be taken into account in the planning and monitoring of sleeping sickness control programmes.

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