Low Birth Weight Baby and Its Associated Factors among Rural Women in Bangladesh: A Decision Curve Analysis

M. G. Uddin, M. S. Islam, M. I. H. Methun
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Abstract

Background: Low birth weight is considered to be one of the main risk factors for infant mortality and morbidity. It is associated with a range of both short- and long-term consequences. Objectives: The study examined the factors contributing to low birth weight of the baby in Bangladesh. This study also attempted with the objective of ensuing a prediction of low birth weight. Methods: The study was a case-control quantitative survey. A three-stage cluster sample design was used to conduct the survey. A total of 674 (337 cases and 337 control) mothers/care givers of under 1 year children were selected from 2 districts of Bangladesh. Binary logistic regression and decision curve analysis were used to investigate the factors which attribute to low birth weight baby born. Results: The findings of the study revealed that mean birth weight was 2.1±0.4 kg among low birth weight children whereas it was 3.0±0.5 kg for normal birth weight children. The mean age of sampled mothers was 25.2±5.4 years. Every 2 in 3 mage got married before 18 years. The prevalence of low birth weight baby among the women with secondary or higher education was lower (47.4%) compared to the women no formal education (65.4%). Analysis revealed that several socio-demographic factors like parental education level, maternal age at first marriage, working status were significantly associated with low birth weight of the baby (p<0.05). Some biological and medical factors like multiple births, maturity of the birth, prenatal care and taking iron and folic acid during pregnancy were also significantly associated with low birth weight baby born. Finally, decision curve analysis technique predicted a net benefit of 0.3907 for the profitable model with highest number of factors. This result implies that the fitted model can predict 39% low birth weight based on independent factors. Conclusion: Prediction model indicates that parental and biological factors are caused for low birth weight baby born in rural areas. Maternal and child health program should focus behavioural change regarding create awareness of disadvantage of early marriage, intake IFA supplementation, at least 4 ANC visit to reduce low birth weight baby born. Bangladesh Med Res Counc Bull 2021; 47(1): 42-49
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孟加拉国农村妇女低出生体重儿及其相关因素:决策曲线分析
背景:低出生体重被认为是婴儿死亡和发病的主要危险因素之一。它与一系列短期和长期的后果有关。目的:本研究探讨了导致孟加拉国婴儿出生体重过低的因素。本研究还试图对低出生体重进行预测。方法:采用病例-对照定量调查法。采用三阶段整群样本设计进行调查。从孟加拉国的两个县共选择了674名1岁以下儿童的母亲/照料者(337例病例和337例对照)。采用二元logistic回归和决策曲线分析对新生儿低出生体重的影响因素进行分析。结果:低出生体重儿平均出生体重为2.1±0.4 kg,正常出生体重儿平均出生体重为3.0±0.5 kg。母亲的平均年龄为25.2±5.4岁。每3个法师中就有2个在18岁之前结婚。受过中等或高等教育的妇女的低出生体重儿患病率(47.4%)低于未受过正规教育的妇女(65.4%)。分析发现,父母受教育程度、母亲初婚年龄、工作状态等社会人口因素与婴儿低出生体重有显著相关(p<0.05)。一些生物和医学因素,如多胎、出生成熟度、产前护理和怀孕期间服用铁和叶酸,也与出生体重低的婴儿显著相关。最后,决策曲线分析技术预测因子数量最多的盈利模型的净效益为0.3907。这一结果表明,拟合的模型可以在独立因素的基础上预测39%的低出生体重。结论:预测模型表明,父母因素和生物学因素是农村低出生体重儿的主要原因。妇幼保健方案应注重行为改变,提高对早婚不利因素的认识,摄入IFA补充剂,至少4次产前检查以减少低出生体重婴儿的出生。孟加拉国地中海理事会2021年公报;(1): 47 42-49
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
48
期刊介绍: The official publication of the Bangladesh Medical Research Council.
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