Bawuah Alex, Ampaw Samuel, Nketiah-Amponsah Edward
Health Economics Research Unit, Aberystwyth Business School, Aberystwyth University, Aberystwyth, Ceredigion, WalesUnited Kingdom.
Global Poverty Research Lab, Kellogg School of Management, Northwestern University, Evanston, Illinois, United States of America.
PLoS One. 2025 Jul 22;20(7):e0328463. doi: 10.1371/journal.pone.0328463. eCollection 2025.
Several children from sub-Saharan Africa (SSA) are not weighed at birth. The lack of birthweight data is a significant challenge in monitoring the global prevalence of extreme birthweight, either low or high, and newborn health. This data guides resource allocation and the design of targeted health policies to address neonatal complications and mortalities. This paper explores the demand-side predictors of newborn weighing.
Data were obtained from the Demographic and Health Surveys (DHS) of 16 countries in SSA, conducted from 2014 to 2021. Multivariate logistic regression was used to achieve the study's objectives.
Approximately 59% of the study population were weighed at birth. This prevalence rate varied widely across the 16 countries, ranging from 23% in Chad to 94% in Gabon. The study documents a positive association between higher socioeconomic status and the probability of being weighed at birth. Specifically, older women and women with higher education and wealth were more likely to weigh their newborns at birth. Also, women who delivered at healthcare facilities and those who used antenatal care had a higher likelihood of weighing their children at birth. Urban residents were more likely to weigh their children at birth. On the contrary, the likelihood of weighing a child at birth decreases with parity.
The study highlights the need to target pregnant women of lower socioeconomic status for interventions aimed at averting severe morbidity and mortality occasioned by conditions of low birthweight.
撒哈拉以南非洲地区(SSA)的一些儿童出生时未进行称重。缺乏出生体重数据是监测全球极低或极高出生体重患病率以及新生儿健康状况的一项重大挑战。这些数据指导资源分配以及针对新生儿并发症和死亡率制定有针对性的卫生政策。本文探讨了新生儿称重的需求侧预测因素。
数据来自2014年至2021年在SSA的16个国家进行的人口与健康调查(DHS)。采用多变量逻辑回归来实现研究目标。
约59%的研究人群出生时进行了称重。这一患病率在16个国家中差异很大,从乍得的23%到加蓬的94%不等。该研究记录了较高的社会经济地位与出生时被称重的概率之间存在正相关。具体而言,年龄较大的女性以及受过高等教育和较富裕的女性更有可能在孩子出生时为其称重。此外,在医疗机构分娩的女性以及接受过产前护理的女性在孩子出生时称重的可能性更高。城市居民更有可能在孩子出生时为其称重。相反,随着生育次数增加,孩子出生时被称重的可能性降低。
该研究强调需要针对社会经济地位较低的孕妇进行干预,以避免因低出生体重状况导致的严重发病和死亡。