Chang Hui, Sun Wanting, Tian Yuanyuan, Wu Jing, Yue Yanru, Li Wenhua, Zhao Xin, Zhang Xiaoan, Jin Jian
Department of Clinical Research and Translational Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tianjian Laboratory of Advanced Biomedical Sciences, School of Life Sciences, Zhengzhou University, Zhengzhou, China.
Front Public Health. 2025 Jul 25;13:1616787. doi: 10.3389/fpubh.2025.1616787. eCollection 2025.
Despite extensive global evidence linking air pollution to adverse birth outcomes, a comprehensive synthesis of China-specific epidemiological insights-particularly across its regionally diverse pollution landscapes and susceptible populations-remains limited. This systematic review integrates evidence from Chinese epidemiological and retrospective studies (2011-2023) retrieved via PubMed, Web of Science, and CNKI, to address critical gaps in contextual understanding of how air pollution uniquely impacts birth outcomes in China. We identify robust associations between exposure to pollutant and risks of miscarriage, preterm birth, low birth weight, and birth defects in Chinese cohorts, while revealing understudied areas such as ozone, heavy metals, and gene-environment interactions. Crucially, our analysis demonstrates how regional policy intervention attenuated birth risks in high-exposure zones, offering actionable models for policymakers. To resolve mechanistic uncertainties, we propose integrating machine learning and multi-omics approaches in future research. This review provides the first China-focused roadmap for optimizing environmental regulations and prenatal protections, directly informing public health strategies tailored to its demographic and pollution realities.
尽管全球有大量证据表明空气污染与不良出生结局有关,但针对中国的具体流行病学见解进行全面综合分析(尤其是涵盖其地域差异显著的污染情况和易感人群)仍然有限。本系统综述整合了通过PubMed、Web of Science和中国知网检索到的中国流行病学和回顾性研究(2011 - 2023年)的证据,以填补在空气污染如何独特地影响中国出生结局的背景理解方面的关键空白。我们在中国队列中确定了污染物暴露与流产、早产、低出生体重和出生缺陷风险之间的有力关联,同时揭示了诸如臭氧、重金属以及基因 - 环境相互作用等研究不足的领域。至关重要的是,我们的分析展示了区域政策干预如何降低高暴露地区的出生风险,为政策制定者提供了可操作的模式。为解决机制上的不确定性,我们建议在未来研究中整合机器学习和多组学方法。本综述提供了首个以中国为重点的优化环境法规和产前保护的路线图,直接为根据其人口结构和污染现实量身定制的公共卫生策略提供信息。