School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa.
Int J Environ Res Public Health. 2020 Nov 18;17(22):8538. doi: 10.3390/ijerph17228538.
Anemia is characterized as a condition where there is a deficient number of hematocrit, hemoglobin, or red cells in the human body. This condition affects most youngsters under five years old and pregnant women. The fundamental goal of this paper is to investigate anemia, recognize its determinants, and propose critical proposals to achieve 2030 Sustainable Development Goal with a focus on Senegal, Malawi, and Angola. This research utilized 2016 nationally representative information from Senegal, Malawi, and Angola, which involved collecting data on the demographic and health of the populaces. The Demographic and Health Survey information from Senegal, Malawi, and Angola was then merged to create a pooled sample. This statistical technique enables to generalize and compare the results. A generalized linear mixed model was utilized to decide the factors correlated with anemia among youngsters under five years in Senegal, Malawi, and Angola. The analysis was performed in SPSS and SAS software. A generalized linear mixed model results showed that, compared to youngsters aged less than 12 months, youngsters in the age interval 13-23, 24-35, 36-47, and 48-59 months are more likely to be affected by anemia (OR = 1.419, 2.282, 3.174 and 4.874 respectively). In this study, seven factors were included in the final model. However, only five were found to be significant in explaining anemia at the 5% level of significance. The generalized linear mixed model identified youngster's age, gender, mother's level of schooling, wealth status, and nutritional status as determinants of anemia among youngsters under five years in Senegal, Malawi, and Angola.
贫血是指人体中血细胞比容、血红蛋白或红细胞数量不足的一种状况。这种情况影响了大多数五岁以下的儿童和孕妇。本文的基本目标是研究贫血,识别其决定因素,并提出实现 2030 年可持续发展目标的关键建议,重点关注塞内加尔、马拉维和安哥拉。本研究利用了塞内加尔、马拉维和安哥拉 2016 年具有全国代表性的信息,涉及收集人口的人口和健康数据。然后,将塞内加尔、马拉维和安哥拉的人口与健康调查信息合并为一个汇总样本。这种统计技术可以实现概括和比较结果。利用广义线性混合模型来确定塞内加尔、马拉维和安哥拉五岁以下儿童贫血的相关因素。在 SPSS 和 SAS 软件中进行了分析。广义线性混合模型结果表明,与 12 个月以下的儿童相比,13-23 个月、24-35 个月、36-47 个月和 48-59 个月的儿童更容易贫血(OR=1.419、2.282、3.174 和 4.874 分别)。在这项研究中,最终模型中包含了七个因素。然而,只有五个因素在 5%的显著水平下被发现对解释贫血有意义。广义线性混合模型确定了儿童的年龄、性别、母亲的受教育程度、财富状况和营养状况是塞内加尔、马拉维和安哥拉五岁以下儿童贫血的决定因素。