Geberu Demiss Mulatu, Baffa Lemlem Daniel, Hagos Asebe, Tiruneh Misganaw Guadie, Teshale Getachew, Tafere Tesfahun Zemene, Demissie Kaleb Assegid, Jejaw Melak
Department of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
BMJ Open. 2025 Apr 21;15(4):e098090. doi: 10.1136/bmjopen-2024-098090.
This study aimed to assess the pooled prevalence and factors of low birth weight among newborns in the top 20 countries with the highest infant mortality rates.
We conducted a community-based cross-sectional analysis using data from Demography and Health Surveys across these countries. The final analysis included a weighted sample of 82 430 live births. We employed binary logistic regression to identify predictors of low birth weight, allowing for the interpretation of results as probabilities. This approach enhances the understanding of event likelihood, which is particularly valuable for policymakers. Statistical significance was determined at a 95% CI with p values <0.05.
The focus was on the top 20 countries that report the highest infant mortality.
Low birth weight (binary: Yes/No).
The pooled prevalence of low birth weight among newborns was found to be 13% (95% CI: 11% to 14%), showing notable variation across countries, ranging from 5% in Sierra Leone to 25% in Mauritania. Statistically significant factors included maternal age of 15-19 years (adjusted OR (AOR): 1.38; 95% CI: 1.19 to 1.61), lack of formal education among mothers (AOR: 1.36; 95% CI: 1.26 to 1.46), unemployed mothers (AOR: 1.54; 95% CI: 1.46 to 1.63), divorced mothers (AOR: 1.20; 95% CI: 1.10 to 1.36), absence of antenatal care (ANC) visits (AOR: 1.24; 95% CI: 1.10 to 1.39) and one to three ANC visits (AOR: 1.30; 95% CI: 1.22 to 1.38). Other significant factors included a parity of one to two children (AOR: 1.29; 95% CI: 1.21 to 1.39), twin births (AOR: 6.40; 95% CI: 5.68 to 7.26), and female newborns (AOR: 1.21; 95% CI: 1.15 to 1.28).
The findings indicate that more than 1 out of 10 newborns in these highest infant mortality countries are classified as low birth weight. To mitigate this issue, it is imperative to enhance access to quality healthcare with particular emphasis on ANC and to promote maternal education, especially for younger and less-educated mothers. Increasing the presence of skilled birth attendants and addressing socioeconomic factors, such as women's unemployment, is crucial. Targeted interventions should support divorced women and address risks associated with maternal age, terminated pregnancies and twin births. Additionally, country-specific strategies that focus on female infants can play a significant role in reducing the prevalence of low birth weight and improving neonatal health outcomes.
本研究旨在评估婴儿死亡率最高的20个国家中新生儿低体重的合并患病率及相关因素。
我们利用这些国家人口与健康调查的数据进行了基于社区的横断面分析。最终分析纳入了82430例活产的加权样本。我们采用二元逻辑回归来确定低体重的预测因素,以便将结果解释为概率。这种方法有助于增强对事件可能性的理解,对政策制定者尤为重要。在95%置信区间且p值<0.05时确定统计学显著性。
重点关注报告婴儿死亡率最高的20个国家。
低体重(二元变量:是/否)。
发现新生儿低体重的合并患病率为13%(95%置信区间:11%至14%),各国之间存在显著差异,从塞拉利昂的5%到毛里塔尼亚的25%不等。具有统计学显著性的因素包括母亲年龄为15 - 19岁(调整后的比值比(AOR):1.38;95%置信区间:1.19至1.61)、母亲未接受正规教育(AOR:1.36;95%置信区间:1.26至1.46)、母亲失业(AOR:1.54;95%置信区间:1.46至1.63)、离婚母亲(AOR:1.20;95%置信区间:1.10至1.36)、未进行产前检查(ANC)(AOR:1.24;95%置信区间:1.10至1.39)以及进行1至3次ANC检查(AOR:1.30;95%置信区间:1.22至1.38)。其他显著因素包括生育1至2个孩子(AOR:1.29;95%置信区间:1.21至1.39)、双胞胎分娩(AOR:6.40;95%置信区间:5.68至7.26)以及女婴(AOR:1.21;95%置信区间:1.15至1.28)。
研究结果表明,在这些婴儿死亡率最高的国家中,超过十分之一的新生儿被归类为低体重。为缓解这一问题,必须增加获得优质医疗保健的机会,尤其要重视产前检查,并促进母亲教育,特别是针对年轻和受教育程度较低的母亲。增加熟练助产人员的数量并解决社会经济因素,如妇女失业问题,至关重要。有针对性的干预措施应支持离婚妇女,并应对与母亲年龄(终止妊娠和双胞胎分娩)相关的风险。此外,关注女婴的国别战略在降低低体重患病率和改善新生儿健康结局方面可发挥重要作用。