Maternal Fetal Care Center, Division of Fetal Medicine and Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Women, Children, and Public Health Sciences, IRCCS Agostino Gemelli University Polyclinic Foundation, Catholic University of the Sacred Heart, Rome, Italy; Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Thomas Jefferson University Hospital, Philadelphia, PA.
Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy.
Am J Obstet Gynecol. 2024 Oct;231(4):395-407.e4. doi: 10.1016/j.ajog.2024.03.002. Epub 2024 Mar 7.
This study aimed to assess global trends in mean birthweights at term, as reported in peer-reviewed literature.
We electronically searched PubMed, Embase, and Web of Science up to September 2023, using combinations of the search terms: "birth weight"; "birth-weight"; "birthweight"; "trend". There were no restrictions based on language or geographic area.
We included all ecological and observational studies reporting mean birthweight at term as a continuous numerical variable over time.
We assessed the quality of included studies using the Dufault and Klar checklist modified by Betran et al. Univariate and multivariate linear models were used to examine the effects of time (years) and geographical origins. Subgroup analyses focused on national data sources and on data collected from 1950 onward.
Among 6447 reviewed articles, 29 met our criteria, reporting mean birthweight data from over 183 million infants worldwide. Most studies were hospital-based (48.3%), 44.8% used national data, and a minority used municipality, community, or regional data (6.9%). Geographically, North America (31.0%) had the highest representation, followed by Asia and Europe (27.6% each), and South America and Oceania (6.9% each). Our univariate linear regression model (Model 1) revealed a significant increase in mean birthweight at term over time (4.74 g/y; 95% confidence interval, 3.95-5.53; P<.001). Model 2, incorporating continental dummy variables into the first model, confirmed this trend (3.85 g/y; 95% confidence interval, 2.96-4.74; P<.001). Model 3, focusing on available national data, did not find a significant relationship. Model 4 narrowed its focus on records from 1950 onward, reporting a robust annual increase of 7.26 g/y (95% confidence interval, 6.19-8.33; P<.001). Model 5, adjusting for the number of participants included in each study, reported a conclusive mean term birthweight increase of 1.46 g/y (95% confidence interval, 0.74-2.18; P<.001).
This systematic review of 29 studies shows an increase in term birthweights over time, particularly when considering data since 1950. Limitations include study quality variations, data source diversity, and data sparsity, underscoring the need for future research to use precise gestational age distinctions and predetermined time frames to gain a deeper understanding of this trend and its implications for maternal and child health.
本研究旨在评估同行评议文献中报告的足月平均出生体重的全球趋势。
我们使用“birth weight”、“birth-weight”、“birthweight”和“trend”等术语,对 PubMed、Embase 和 Web of Science 进行了电子检索,检索截至 2023 年 9 月,未对检索范围进行基于语言或地理区域的限制。
我们纳入了所有报告随时间变化的足月平均出生体重作为连续数值变量的生态和观察性研究。
我们使用 Dufault 和 Klar 清单并结合 Betran 等人的修改版对纳入的研究进行了质量评估。使用单变量和多变量线性模型来检验时间(年)和地理起源的影响。亚组分析侧重于国家数据源和 1950 年后收集的数据。
在审查的 6447 篇文章中,有 29 篇符合我们的标准,报告了来自全球超过 1.83 亿婴儿的平均出生体重数据。大多数研究是基于医院的(48.3%),44.8%使用国家数据,只有少数(6.9%)使用市、社区或地区数据。从地理上看,北美(31.0%)的代表性最高,其次是亚洲和欧洲(各 27.6%),南美和大洋洲(各 6.9%)。我们的单变量线性回归模型(模型 1)显示,随时间的推移,足月平均出生体重呈显著增加(4.74 克/年;95%置信区间,3.95-5.53;P<.001)。模型 2,将大陆哑变量纳入第一个模型,证实了这一趋势(3.85 克/年;95%置信区间,2.96-4.74;P<.001)。模型 3,重点关注可用的国家数据,未发现显著关系。模型 4 将重点缩小到 1950 年以后的记录,报告了一个稳健的每年 7.26 克/年的增加(95%置信区间,6.19-8.33;P<.001)。模型 5,根据每个研究纳入的参与者数量进行调整,报告了足月出生体重的显著增加,为 1.46 克/年(95%置信区间,0.74-2.18;P<.001)。
这项对 29 项研究的系统综述表明,随时间的推移,足月出生体重呈上升趋势,特别是考虑到 1950 年以后的数据。局限性包括研究质量的差异、数据来源的多样性和数据的稀疏性,这突显了未来研究需要使用精确的孕龄区分和预定的时间框架,以更深入地了解这一趋势及其对母婴健康的影响。