Coldren Rodney L, Prosser Trish, Ogolla Fredrick, Ofula Victor O, Adungo Nicholas
United States Army Medical Research Unit--Kenya, Mbagathi Rd, Nairobi, Kenya.
Malar J. 2006 Nov 1;5:96. doi: 10.1186/1475-2875-5-96.
Malaria is one of the most serious health problems in Kenya. In 2004, the Kenya Medical Research Institute and the US Army Medical Research Unit--Kenya surveyed adults in Samburu, Malindi, and Busia districts to determine socioeconomic risk factors for infection.
Sociodemographic, health, and antimalarial data were collected along with blood for malaria testing. A smear was considered negative only if no Plasmodium falciparum parasites were observed in 100 high-powered fields. Univariate analysis was performed with Pearson's Chi-square test and univariate logistic regression. A multivariate logistic regression model was then created which included only variables found to be at least marginally significant in univariate analysis.
A total of 1,141 subjects were recruited: 238 from Samburu, 442 from Malindi, and 461 from Busia. Smear positivities for P. falciparum were 1.7% in Samburu, 7.2% in Malindi and 22.3% in Busia. Interdistrict differences were statistically significant (p < 0.001) in univariate analysis and in a multivariate logistic regression model which included district, literacy, occupation, and recent illness as independent variables. In the model, literacy and recent diarrhoeal illness were positively and at least marginally significantly associated with parasitaemia (p = 0.023 and p = 0.067, respectively). Neither age, sex, occupation, history of malaria in the previous three months, nor use of antimalarials in the previous four weeks were significantly associated with parasitaemia.
While district of residence was the variable most highly predictive for parasitaemia among Kenyan adults surveyed, both a recent history of diarrhoeal illness and literacy were at least marginally statistically significant predictors.
疟疾是肯尼亚最严重的健康问题之一。2004年,肯尼亚医学研究所和美国陆军医学研究单位——肯尼亚对桑布鲁、马林迪和布西亚地区的成年人进行了调查,以确定感染的社会经济风险因素。
收集社会人口统计学、健康和抗疟数据以及用于疟疾检测的血液样本。仅当在100个高倍视野中未观察到恶性疟原虫寄生虫时,涂片才被视为阴性。使用Pearson卡方检验和单因素逻辑回归进行单因素分析。然后创建了一个多因素逻辑回归模型,该模型仅包括在单因素分析中发现至少具有边际显著性的变量。
共招募了1141名受试者:238名来自桑布鲁,442名来自马林迪,461名来自布西亚。桑布鲁地区恶性疟原虫涂片阳性率为1.7%,马林迪为7.2%,布西亚为22.3%。在单因素分析和包括地区、识字率、职业和近期疾病作为自变量的多因素逻辑回归模型中,地区间差异具有统计学意义(p < 0.001)。在该模型中,识字率和近期腹泻病与寄生虫血症呈正相关且至少具有边际显著性(分别为p = 0.023和p = 0.067)。年龄、性别、职业、前三个月的疟疾病史以及前四周的抗疟药物使用均与寄生虫血症无显著关联。
虽然居住地区是所调查的肯尼亚成年人中寄生虫血症最具预测性的变量,但近期腹泻病史和识字率至少在统计学上具有边际显著性预测作用。