2017年,埃塞俄比亚北部地区阿拉玛塔总医院接受ANC随访的孕妇营养不良及相关因素

Melese Linger Endalifer, Mesafint Tewabe, Achan Didimu Adar, Hilina Teshome Demeke, Neima Mohammed Hagos, Samuel Dagne
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引用次数: 12

摘要

背景:产妇营养问题仍然是埃塞俄比亚的公共卫生问题之一,它影响到所有育龄妇女,特别是孕妇,这可能导致婴儿出生体重低、早产,并增加怀孕风险问题。本研究的目的是评估孕妇营养不良的患病率及其相关因素。方法:对2017年4月1日至6月20日在埃塞俄比亚北部地区Alamata总医院接受ANC随访的321例孕妇进行机构横断面研究。研究对象的选择采用系统随机抽样技术,以每年的患者流量为基础。数据收集采用预测试、结构化、标准化和采访者管理的问卷,并通过孕妇的人体测量MUAC评估消瘦。采用描述性统计、双变量分析识别相关因素、多变量logistic回归分析控制潜在混杂因素的影响。多变量模型中p值< 0.05的变量被确定为营养不良的预测因子。结果:孕妇营养不良总体发生率为22.3%。多变量logistic分析显示,15-24岁年龄组(AOR: 0.19, 95% CI: 0.57, 0.638)、大学学历孕妇(AOR: 0.25, 95% CI: 0.079, 0.789)和孕期补充叶酸铁(AOR: 0.356, 95% CI: 0.140, 0.906)与营养不良呈负相关。而丈夫受过小学教育的孕妇(AOR: 17.461, 95% CI: 3.401, 89.634)孕期服用抗疟疾药物(AOR: 4.298, 95% CI: 1.314, 14.063)与营养不良呈正相关。结论:本研究显示,按照世界卫生组织的标准,营养不良发生率较高。因此,强烈建议针对文盲和年龄的孕妇进行营养干预。应进一步研究以探索其他决定变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Undernutrition and associated factors among pregnant women attending ANC follow up in Alamata general hospital, Northern Region, Ethiopia, 2017
Background: Maternal nutritional problems remain as one of the public health problems in Ethiopia and it affects all child bearing age group females’ especially pregnant women and this can cause low birth weight baby, preterm birth, and it increases pregnancy risk problems. The aim of this study was to assess the prevalence of under nutrition and associated factors among pregnant women. Method: An institution based cross sectional study was conducted on 321 pregnant women attend ANC follow up in Alamata General Hospital, Northern Region, Ethiopia from April 1st to June 20th 2017. Study subjects were selected using systematicandom sampling technique based on the annual patient flow.Data were collected by using a pre-tested, structured, and standardized and interviewer administered questionnaire and wasting was assessed by using anthropometric measurement MUAC of pregnant women. Descriptive statistics, bivariate analysis to identify associated factors and multivariable logistic regression analysis were employed to control the effect of potential confounders. Variables with p value < 0.05 in the multivariable model were identified as predictors of under nutrition. Result: The overall prevalence of under nutrition among pregnant women was 22.3%. Multivariable logistic analysis showed that age group of 15-24years old (AOR: 0.19, 95% CI: 0.57, 0.638), pregnant women with educational level of university (AOR: 0.25, 95% CI: 0.079, 0.789) and supplemented iron foliate during pregnancy (AOR: 0.356, 95% CI: 0.140, 0.906) were negatively associated with under nutrition. Whereas pregnant women with husbands of primary education (AOR: 17.461, 95% CI: 3.401, 89.634), took anti- malarial drug during pregnancy (AOR: 4.298, 95% CI: 1.314, 14.063) were positively associated with under nutrition. Conclusion: This study revealed that the prevalence of under nutrition was relatively high based on WHO standards. Therefore, nutrition intervention targeting illiterate and age of pregnant women is highly recommended. Further study should be under taken to explore other determinant variables.
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