Predictors of Low Birth Weight among Newborns Delivered At a Referral Hospital in Hadiya Zone, Southern Ethiopia

Awoke Girma Hailu, Abebe Alemu Anshebo, Hassen Mosa Halil, R. Abdo
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Abstract

Background & aim: In developing countries, such as Ethiopia, neonatal morbidity and mortality, which is usually associated with low birth weight, are still high. Therefore, the aim of this study was to determine the extent and predictors of low birth weight among newborns delivered at a referral hospital in Hadiya Zone, Southern Ethiopia. Methods: A hospital-based cross-sectional study was conducted from 1st to 28th April, 2019. A structured questionnaire and chart review were used to collect data. A systematic sampling technique was used to recruit 363 study participants. The relationship of independent variables with the dependent variable was determined using bivariate and multivariable logistic regression analyses. The odds ratios were calculated with their 95% confidence intervals, and statistical significance was accepted at a p -value of < 0.05. SPSS software (version 23) was used to enter and analyze the data. Results: The prevalence of low birth weight was found to be 12.7%. The predictors of low birth weight comprised of not receiving antenatal care visit (AOR =7.6; 95 % CI: 1.23-6.24), preterm delivery (AOR=4.99, 95% CI: 2.22-11.18), anemia (AOR =4.99; 95% CI: 2.22-11.18) and smoking of cigarette (AOR=5.85; 95% CI: 1.18-28.92). Conclusion: This study revealed that a significant proportion of newborns are delivered with low birth weight. Consumption of iron-rich foods and abstinence from smoking should be encouraged to help prevent low birth weight. Additionally, increasing the uptake of antenatal care visits and prompt diagnosis and treatment of obstetric complications such as preterm delivery are important.
埃塞俄比亚南部哈迪亚区一家转诊医院新生儿出生体重偏低的预测因素
背景与目的:在发展中国家,如埃塞俄比亚,新生儿发病率和死亡率仍然很高,这通常与低出生体重有关。因此,本研究的目的是确定在埃塞俄比亚南部哈迪亚区一家转诊医院分娩的新生儿中低出生体重的程度和预测因素。方法:于2019年4月1日至28日进行以医院为基础的横断面研究。采用结构化问卷调查和图表回顾法收集数据。采用系统抽样技术招募了363名研究参与者。采用双变量和多变量logistic回归分析确定自变量与因变量的关系。比值比以95%置信区间计算,p < 0.05为统计学显著性。采用SPSS软件(version 23)进行数据录入和分析。结果:低出生体重儿患病率为12.7%。未接受产前保健检查是低出生体重的预测因素(AOR =7.6;95% CI: 1.23-6.24)、早产(AOR=4.99, 95% CI: 2.22-11.18)、贫血(AOR=4.99;95% CI: 2.22-11.18)和吸烟(AOR=5.85;95% ci: 1.18-28.92)。结论:本研究揭示了新生儿低出生体重的显著比例。应该鼓励食用富含铁的食物和戒烟,以帮助预防低出生体重。此外,增加产前保健检查和及时诊断和治疗产科并发症(如早产)也很重要。
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