Statistical Modeling of Determinants of Anemia Prevalence among Children Aged 6-59 Months in Nigeria: A Cross-Sectional Study.

Statistical Modeling of Determinants of Anemia Prevalence among Children Aged 6-59 Months in Nigeria: A Cross-Sectional Study.
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DOI:
10.1155/2020/4891965
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发表时间:
2020
期刊:
影响因子:
2.9
通讯作者:
Akinyemi O
Akinyemi O
中科院分区:
其他
文献类型:
--
作者:
Ogunsakin RE;Babalola BT;Akinyemi O

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儿童贫血在发展中国家仍然是一项重大的公共卫生挑战,它对儿童的成长产生负面影响。因此,确定儿童贫血的决定因素至关重要,因为这将有助于制定适当的卫生政策,以实现联合国千年发展目标。本研究旨在评估和模拟尼日利亚6-59个月儿童贫血患病率的决定因素。为了达到研究目的,作者应用了单水平和多水平二元逻辑回归模型。为了衡量个人和家庭层面因素对6-59个月儿童贫血的相对影响,本研究采用二元logistic和多层logistic回归模型对尼日利亚人口与健康调查的数据进行了分析。采用Hosmer-Lemeshow拟合优度、方差膨胀因子和似然比检验评估模型的拟合性。研究发现,儿童贫血发生率约为67.01%,儿童性别、母亲受教育程度、宗教信仰、家庭财富状况、出生子女总数、子女年龄、居住地、地区等因素对贫血患病率有统计学意义。24 - 42月龄儿童贫血的校正优势比(aOR)为0.56 (95% CI = 0.50, 0.63), 43 - 59月龄儿童贫血的校正优势比为0.40 (95% CI = 0.36, 0.45)。此外,居住在尼日利亚某些地理政治区域的儿童与儿童贫血的增加有关。这项研究强调了尼日利亚儿童贫血的高患病率,并指出需要改善母亲的教育和区域差异。这项研究的结果可以帮助决策者和公共卫生机构制定针对这些地区的规划,作为解决尼日利亚民众中普遍存在的贫血问题的一项措施。
Childhood anemia remains a significant public health challenge in developing countries, and it has negative consequences on the growth of the children. Therefore, it is essential to identify the determinants of childhood anemia, as these will help in formulating appropriate health policies in order to meet the United Nations MDG goal. This study aims to assess and model the determinants of the prevalence of anemia among children aged 6–59 months in Nigeria. To accomplish the aims of the study, the authors applied single-level and multilevel binary logistic regression models. To measure the relative impact of individual and household-level factors for childhood anemia among children aged 6–59 months, this study undertakes data from Nigeria Demographic and Health Surveys with both binary logistic and multilevel logistic regression models. The fit of the model was assessed by Hosmer–Lemeshow goodness-of-fit, variance inflation factor, and likelihood ratio tests. The study established that about 67.01% of the children were anemic and identified sex of children, mother's education, religion, household wealth status, total children ever born, age of children, place of residence, and region to have a statistical significant effect on the prevalence of anemia. The adjusted odds ratio (aOR) for anemia was 0.56 (95% CI = 0.50, 0.63) in children aged from 24 to 42 months and 0.40 (95% CI = 0.36, 0.45) in children aged from 43 to 59 months. Also, children who reside in certain geographical-political zones of Nigeria are associated with increased childhood anemia. This study has highlighted the high prevalence of childhood anemia in Nigeria and indicated the need to improve mothers' education and regional variations. Findings from this study can help policymakers and public health institutions to map out programs targeting these regions as a measure of tackling the prevalence of anemia among the Nigerian populace.
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