Prevalence and determinants of macrosomia in low- and middle-income countries: a multilevel analysis of population survey data from 44 nations.

Oumer Abdulkadir Ebrahim, Kusse Urmale Mare, Kebede Gemeda Sabo, Abdulkerim Hassen Moloro, Begetayinoral Kussia Lahole, Setognal Birara Aychiluhm, Habtamu Solomon Demeke, Beriso Furo Wengoro
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Abstract

BACKGROUND: Although excessive birth weight is associated with short-term and long-term effects for both neonates and mothers, there is a gap in our understanding of its prevalence and contributing factors in low- and middle-income countries. Moreover, previous studies primarily focused on low birth weight and were limited to a specific geographic area. Therefore, this study aimed to estimate the prevalence of macrosomia and identify its determinants using data from 44 countries. METHODS: Data were obtained from demographic and health surveys conducted between 2015 and 2022 across 44 LMICs and a weighted total of 343,898 birth records was included in the analysis. Mixed-effect logistic regression models were fitted to identify determinants of excessive birth weight and the models were compared based on log-likelihood and deviance values. A p-value less than 0.05 and an adjusted odds ratio with the corresponding 95% confidence interval were used to identify determinants of macrosomia. RESULTS: The overall prevalence of excessive birth weight among neonates in LMCs was 7.1% [95% CI: 6.1%-8.1%], varying from 1.3% in India to 27% in Chad. The odds of excessive birth weight were higher in neonates born to mothers from households without health insurance [AOR (95% CI): 1.50 (1.36–1.65)], mothers with primary education [AOR (95% CI): 1.19 (1.09–1.31)], those born to multipara [AOR (95% CI): 1.13 (1.04–1.24), grand multipara [AOR (95% CI): 1.36 (1.20–1.54)], and overweight or obese mother [AOR (95% CI): 1.54 (1.44–1.66)]. Moreover, maternal age, number of antenatal care visits, sex of neonate, place of residence, and region were the other determinants of macrosomia. CONCLUSION: About 7% of neonates in low- and middle-income countries had excessive weight at birth, with a significant variation across the countries. Therefore, strengthening programs aimed at improving maternal literacy and promoting healthy weight management before and during pregnancy is crucial. Moreover, improving access to antenatal care and health insurance and developing programs that address the specific needs of at-risk populations, such as older, multiparous, and rural women could help reduce the incidence of macrosomia.

Abstract Image

低收入和中等收入国家巨大儿的患病率和决定因素:对44个国家人口调查数据的多层次分析。
背景:虽然出生体重过重对新生儿和母亲都有短期和长期影响,但我们对其在低收入和中等收入国家的患病率和影响因素的了解还存在差距。此外,以前的研究主要集中在低出生体重,并仅限于特定的地理区域。因此,本研究旨在利用来自44个国家的数据估计巨大儿的患病率并确定其决定因素。方法:从2015年至2022年在44个低收入国家进行的人口和健康调查中获得数据,加权总数为343,898份出生记录纳入分析。拟合混合效应逻辑回归模型以确定出生体重过重的决定因素,并根据对数似然值和偏差值对模型进行比较。使用小于0.05的p值和具有相应95%置信区间的校正优势比来确定巨大儿的决定因素。结果:低收入国家新生儿出生体重过重的总体患病率为7.1% [95% CI: 6.1%-8.1%],从印度的1.3%到乍得的27%不等。无医疗保险家庭的母亲所生的新生儿出生体重过重的几率较高[AOR (95% CI): 1.50(1.36 - 1.65)],受过初等教育的母亲[AOR (95% CI): 1.19(1.09-1.31)],多产妇[AOR (95% CI): 1.13(1.04-1.24),大多产妇[AOR (95% CI): 1.36(1.20-1.54)],超重或肥胖母亲[AOR (95% CI): 1.54(1.44-1.66)]。此外,产妇年龄、产前检查次数、新生儿性别、居住地和地区是巨大儿的其他决定因素。结论:低收入和中等收入国家约7%的新生儿在出生时体重过重,各国之间存在显著差异。因此,加强旨在提高孕产妇识字率和促进孕前和孕期健康体重管理的方案至关重要。此外,改善获得产前保健和医疗保险的机会,并制定针对高危人群(如老年人、多胞胎妇女和农村妇女)的具体需求的方案,有助于减少巨大儿的发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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