Hossain Md Rasel, Begum Susmita, Neyma Mahmuda Al, Hossain Kabir, Faruk Mohammad Omar, Hossain Sorif, Afnan Humayra
Department of Statistics Noakhali Science and Technology University Noakhali Bangladesh.
Institute for Intelligent Systems Research adn Innovation Deakin University Waurn Ponds Australia.
Health Sci Rep. 2025 Aug 27;8(9):e71146. doi: 10.1002/hsr2.71146. eCollection 2025 Sep.
Low birth weight (LBW) is a critical indicator of infant survival and a reflection of significant public health challenges. This study aims to investigate the parental socioeconomic, demographic, and neonatal factors influencing LBW among newborns in Bangladesh.
Simple random sampling was used to gather data for the study, which included 597 recent births. The test was used to evaluate associations. Binary multivariate logistic regression was used to identify the risk factors for LBW, with a significance level set at a value of 0.05.
The results indicated that 27.5% ( = 164) of the infants had LBW. The binary logistic regression analysis showed, preterm birth was associated to a twofold increase in the odds of LBW (OR: 2.376, 95% CI: 1.566-3.606, < 0.05). Furthermore, maternal age had a significant impact on birth weight; mothers aged > 35 years had a 39.6% lower chance of having a LBW child than mothers < 21 (OR: 0.396, 95% CI: 0.252-0.624, < 0.05). The odds of giving birth to a low-weight baby were 39.1% lower for women who took certain medications during pregnancy than for those who did not (OR: 0.609, 95% CI: 0.373-0.995, < 0.05). LBW is 1.838 times more likely to occur in babies born to mothers who have mineral deficiencies (OR: 1.838, 95% CI: 1.200-2.816, < 0.05).
The risk of LBW is greatly increased by premature birth, younger maternal age, mineral deficiencies, and the absence of maternal medication use during pregnancy. Reducing the prevalence of LBW and enhancing neonatal health outcomes in Bangladesh requires addressing these factors.
低出生体重是婴儿生存的关键指标,反映了重大的公共卫生挑战。本研究旨在调查影响孟加拉国新生儿低出生体重的父母社会经济、人口统计学和新生儿因素。
采用简单随机抽样收集本研究的数据,其中包括597例近期分娩。采用 检验评估相关性。二元多因素逻辑回归用于确定低出生体重的危险因素,显著性水平设定为 值0.05。
结果表明,27.5%( = 164)的婴儿为低出生体重。二元逻辑回归分析显示,早产与低出生体重几率增加两倍相关(比值比:2.376,95%置信区间:1.566 - 3.606, < 0.05)。此外,母亲年龄对出生体重有显著影响;年龄大于35岁的母亲生下低出生体重婴儿的几率比年龄小于21岁的母亲低39.6%(比值比:0.396,95%置信区间:0.252 - 0.624, < 0.05)。孕期服用某些药物的女性生下低体重婴儿的几率比未服用者低39.1%(比值比:0.609,95%置信区间:0.373 - 0.995, < 0.05)。母亲有矿物质缺乏的婴儿发生低出生体重的可能性是其他婴儿的1.838倍(比值比:1.838,95%置信区间:1.200 - 2.816, < 0.05)。
早产、母亲年龄较小、矿物质缺乏以及孕期未使用母亲药物会大大增加低出生体重的风险。在孟加拉国,降低低出生体重的患病率并改善新生儿健康结局需要解决这些因素。