东努沙登加拉兰巴塔地区疟疾的危险因素

W. Olin, R. Paun
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引用次数: 1

摘要

背景:东努沙登加拉省卫生办公室报告,2016年寄生虫年发病率(API)为每千人新增病例5.46例,分布在22个区。Lembata区是该省API最高的流行区。本研究旨在确定东努沙登加拉省Lembata区疟疾的危险因素。对象与方法:在东努沙登加拉省兰巴塔区进行病例对照研究。本研究选取了800名患者作为样本,包括400例实验室结果阳性的疟疾病例和400例实验室结果阴性的疟疾病例。因变量为疟疾发病率。自变量为教育、知识、态度、行为、住房和沼泽。疟疾病例资料来源于病历。其他数据采用问卷调查的方式收集。数据采用多元逻辑回归分析。结果:受教育程度越低,疟疾发病率越高(OR= 2.24;95% CI= 1.09 ~ 4.63;p= 0.029),知识贫乏(OR= 3.94;95% CI= 2.67 ~ 5.81;p<0.001)、消极态度(OR= 6.62;95% CI= 4.45 ~ 6.05;p= 0.042),不健康行为(OR= 3.97;95%CI= 2.63 ~ 5.43;p<0.001),住房条件差(OR= 3.53;95%CI= 2.30 ~ 5.43;p< 0.001),接近沼泽(OR= 2.80;95% CI= 1.33 ~ 3.28;p = 0.023)。结论:受教育程度低、知识贫乏、态度消极、行为不健康、居住条件差、靠近沼泽等因素导致疟疾发病率增加。
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Risk Factors of Malaria in Lembata District, East Nusa Tenggara
Background: Provincial Health Office of East Nusa Tenggara reported that the annual parasite incidence (API) in 2016 was 5.46 new cases per thousand populations, distributed in 22 districts. Lembata district is an endemic area with the highest API in the province. This study aimed to determine the risk factors of malaria in Lembata district, East Nusa Tenggara. Subjects and Method: A case control study was carried out in Lembata district, East Nusa Tenggara. A sample of 800 patients was selected for this study, consisting of 400 malaria cases with positive laboratory result and 400 with negative laboratory result. The dependent variable was malaria incidence. The independent variables were education, knowledge, attitude, behavior, housing, and swamp. Data of malaria case were obtained from the medical record. The other data were collected by questionnaire. The data were analyzed by a multiple logistic regression. Results: Malaria incidence increased with low education (OR= 2.24; 95% CI= 1.09 to 4.63; p= 0.029), poor knowledge (OR= 3.94; 95% CI= 2.67 to 5.81; p<0.001), negative attitude (OR= 6.62; 95% CI= 4.45 to 6.05; p= 0.042), unhealthy behavior (OR= 3.97; 95%CI= 2.63 to 5.43; p<0.001), poor housing (OR= 3.53; 95%CI= 2.30 to 5.43; p< 0.001), and close to swamp (OR= 2.80; 95% CI= 1.33 to 3.28; p= 0.023). Conclusion: Malaria incidence increases with low education, poor knowledge, negative attitude, unhealthy behavior, poor housing, and close to swamp.
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