尼日利亚五岁以下儿童腹泻、急性呼吸道感染和发育迟缓合并症的地理统计模式

IF 1.4 3区 社会学 Q3 DEMOGRAPHY Mathematical Population Studies Pub Date : 2021-07-09 DOI:10.1080/08898480.2021.1942654
E. Gayawan, Olamide Seyi Orunmoluyi, O. Adegboye
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引用次数: 6

摘要

摘要2018年,尼日利亚五岁以下儿童腹泻患病率为13%,急性呼吸道感染患病率为3%,发育迟缓患病率为37%。共享成分模型强调了这些疾病合并症的地理差异。数据来自2018年尼日利亚人口与健康调查。尼日利亚北部的大多数州出现这三种疾病中任何一种合并症的风险都较高。与受过小学或以下教育的母亲相比,受过中学教育的母亲同时患两到三种以上疾病的可能性低1.4倍,受过高等教育的妇女低2.0倍。与同龄无子女女性相比,母亲在20-29岁时减少1.6倍,在30-39岁时减少1.9倍,在40-49岁时减少2.0倍。获得受保护的水源将风险降低了1.3倍。五岁以下的女孩同时患两到三种此类疾病的可能性是该年龄男孩的1.2倍。与未母乳喂养的儿童相比,母乳喂养儿童的这一因素是相同的。
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Geostatistical patterns of comorbidity of diarrhea, acute respiratory infection, and stunting among under-five children in Nigeria
ABSTRACT Among children under five in Nigeria, in the year 2018, the prevalence of diarrhea was 13%, that of acute respiratory infections 3%, and that of stunting 37%. A shared-component model highlights geographic variations in the comorbidities of these diseases. The data are from the 2018 Nigeria Demographic and Health Survey. The majority of states in northern Nigeria presented clusters of higher risk for comorbidities of any pair of the three diseases. Compared with mothers with primary education or less, mothers with secondary education were 1.4 times less likely to have two or three of these diseases at the same time, and women with tertiary education 2.0 times less. Compared to childless women of the same age, mothers were 1.6 times less when aged 20–29, 1.9 times less when aged 30–39, and 2.0 times less when aged 40–49. Access to a protected water source reduced the risk by a factor of 1.3. Girls under age five were 1.2 times less likely than boys of that age to have two or three of these diseases at the same time. This factor was the same for breastfed children compared to those who were not breastfed.
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来源期刊
Mathematical Population Studies
Mathematical Population Studies 数学-数学跨学科应用
CiteScore
3.20
自引率
11.10%
发文量
7
审稿时长
>12 weeks
期刊介绍: Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.
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