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A prospective multicenter birth cohort in China: pregnancy health atlas
European Journal of Epidemiology ( IF 7.7 ) Pub Date : 2024-11-15 , DOI: 10.1007/s10654-024-01157-x
Si Zhou, Niya Zhou, Hanbo Zhang, Wenzhi Yang, Qingsong Liu, Lianshuai Zheng, Yuting Xiang, Dan Zheng, Yan Zhou, Siyi Wang, Danling Cheng, Jun He, Hong Wang, Wenbin Zhang, Liping Guan, Qiaoling Geng, Shihao Zhou, Hongbo Zhai, Hua Jin, Fei Hou, Shuzhen Wu, Jie Gao, Jing Yi, Luming Sun, Fengxiang Wei, Jianguo Zhang, Lei Yu, Xiao Yang, Leilei Wang, Lijian Zhao, Hongbo Qi

The China Prospective Multi-Center Birth Cohort Study was launched in 2022. In collaboration with medical centers in 12 cities, it aims to establish a high-quality, multidimensional cohort comprising 20,000 natural pregnancy and assisted reproductive families. As of June 26, 2024, 12,911 pregnant women have participated in this study, and 161,122 biological samples have been collected. These samples cover four critical periods (early pregnancy, mid-pregnancy, late pregnancy, and postpartum) and comprise 10 different types such as serum, plasma, and urine. The study has collected comprehensive information from early pregnancy to newborns. The participants have an average age of 29.76 years, an average height of 160.46 cm, an average pre-pregnancy BMI of 23.11, and an average BMI of 27.25 before delivery. The cohort includes individuals from 26 ethnic groups, with 25 minority groups comprising 5.03% of the population. Guizhou Province exhibits the highest percentage of ethnic minorities at 24.96% and Guangdong Province owns the highest proportion (12.22%) of women with two or more children. The prevalence of thalassemia in Guangdong Province is seven times higher than in other provinces. Among pregnant women over 35 years old, the prevalence of gestational diabetes mellitus is twice that of women under 35. Additionally, the prevalence of preeclampsia in women with assisted reproductive pregnancies is more than twice that of those with natural pregnancies. The study extensively collected diverse data and biological samples, making this cohort an ideal candidate for DOHaD field and multi-omics research.

更新日期:2024-11-15
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