Evidence map›Paper›PMID 41562038›Full record

ReviewEnvironment & health (Washington, D.C.)2026

The China Birth Cohort-Environmental and Genetic Factors (CBC-EG) Study: Design, Aims, Protocol, Findings, and Prospects.

Jiaqi Zhu, Juan Chen, Kai Zhao, Qi Wang, Lei Jin, Lijun Pei, Furong Deng, Liyun Wang, Huimeng Liu, Yu You and 11 more

Abstract readReview
In one paragraph

Review in Environment & health (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Jiaqi ZhuDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Juan ChenDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Kai ZhaoInstitute of Reproductive Health, Center for Reproductive Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Qi WangDepartment of Toxicology, School of Public Health, Peking University, Beijing 100191, China.
Lei JinInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100091, China.
Lijun PeiInstitute of Population Research and China Center on Population Health and Development, Peking University, Beijing 100871, China.
Furong DengDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.ORCID https://orcid.org/0000-0002-2801-4389
Liyun WangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Huimeng LiuDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Yu YouDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Yaxin WangDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Rongrong LiDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.
Linlin CuiKey Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250100, China.
Shigang ZhaoKey Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan 250100, China.
Hongsong YuDepartment of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi 563000, China.ORCID https://orcid.org/0000-0002-1209-2104
Xiao-Wen ZengGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0003-3918-1841
Yonghong TianDepartment of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 311100, China.ORCID https://orcid.org/0000-0001-6932-2620
Guang-Hui DongGuangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-2578-3369
Hui-Ping ZhangInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Shaowei WuDepartment of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an 710061, China.ORCID https://orcid.org/0000-0003-2680-6064
Xuejun ShangDepartment of Urology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early life, including the embryonic period, is particularly vulnerable to environmental exposures. Previous studies have largely focused on the relationship between individual environmental factors and population health. In reality, individuals are exposed to multiple environmental factors, which together form an "exposome" that reflects the environmental influences on human health. Exposome-based analyses utilizing biological samples have been conducted in various countries to assess the impacts of environmental endocrine disruptors and other pollutants on maternal and fetal health during pregnancy, particularly in developed countries. However, large-scale cohort studies that comprehensively cover major maternal and fetal diseases during pregnancy to explore the environmental and genetic interactions affecting maternal and fetal health are still lacking in China. Currently, environmental exposure assessment and biomarker measurement are particularly complex, given the challenges posed by handling mixed exposure effects and the hidden threats posed by emerging contaminants. The China Birth Cohort-Environmental Genetic Factors (CBC-EG) study was established as a large, multicenter cohort study spanning 14 cities across China. A total of 101,437 pregnant women were recruited between 2013 and 2022. The objectives of this cohort study include analyzing the effects of environmental exposure levels and behavioral factors, monitored through external exposure assessments, on embryonic development and pregnancy-related diseases. Additionally, the study aims to explore the impact of environmental pollutants, monitored through internal exposure assessments, on embryonic development and pregnancy outcomes. A key focus of this research is to investigate the potential threats posed by emerging contaminants to maternal and fetal health, as well as to uncover environmental and genetic interactions and identify susceptibility loci.

Indexed as

birthcohort profileenvironmentepidemiologygeneticpregnancy

Identifiers

PMID41562038
PMCPMC12813710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.