The Effect of HIV Related Risk Factors on HIV Status: A Case of Gamo-Gofa Free Standing Voluntary Counseling and Testing Center

Tesfahun Zewde Legisso, Markos Abiso Erango
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Abstract

HIV/AIDS is a major development concern in many countries and is destroying the lives and livelihoods of many people around the world. This study is aimed to assess the demographic and HIV related risk behavior factors that may affect HIV status of the visitors of VCT centers. A cross sectional study was conducted in Gamo-Gofa districts, Southern Nations Nationalities and Peoples Regional State of Ethiopia. A total of 4028 sample were selected using stratified random sampling technique. Data were collected with a designed questionnaire from 20 voluntary counseling and testing center of the districts. If the clients visit VCT center is HIV-infected, it is categorized as HIV positive and if the client test is indicated not HIV-infected, then the visitor categorized as HIV negative status. The Binary logistic regression model was used to analyze the data using the SPSS software. The results of the study revealed that the probability of an individual being HIV positive was 0.0286 and the predictor’s variables age, marriage status, education level, alcohol use, knowledge about HIV, monthly income, condom use and residence of the individual were significantly effect on being HIV-positive. Health professionals and responsible bodies should work on these significant variables to reduce the probability of being HIV positive.
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HIV相关危险因素对HIV感染状况的影响——以Gamo-Gofa独立自愿咨询检测中心为例
艾滋病毒/艾滋病是许多国家的一个主要发展问题,正在摧毁世界各地许多人的生活和生计。本研究的目的是评估可能影响VCT中心访客HIV感染状况的人口统计学和HIV相关危险行为因素。在埃塞俄比亚南部国家、民族和民族地区的加莫-戈法区进行了一项横断面研究。采用分层随机抽样方法,共抽取4028份样本。采用设计的问卷对20个区县志愿咨询检测中心进行数据收集。如果访问VCT中心的客户感染了艾滋病毒,则将其归类为艾滋病毒阳性,如果客户测试表明未感染艾滋病毒,则将来访者归类为艾滋病毒阴性状态。采用二进制logistic回归模型,采用SPSS软件对数据进行分析。研究结果表明,个体HIV阳性的概率为0.0286,个体的年龄、婚姻状况、受教育程度、饮酒情况、HIV知识、月收入、安全套使用情况和居住地对HIV阳性有显著影响。保健专业人员和负责机构应努力处理这些重要的变数,以减少艾滋病毒呈阳性的可能性。
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