Journal of Epidemiology (Jan 2022)

Study Design and Baseline Profiles of Participants in the Tianjin Birth Cohort (TJBC) in China

  • Shuo Wang,
  • Guohong Zhang,
  • Jing Wang,
  • Zhiqiang Ye,
  • Huikun Liu,
  • Lingyao Guan,
  • Yijuan Qiao,
  • Jiayu Chen,
  • Tao Zhang,
  • Qian Zhao,
  • Yu Zhang,
  • Bo Wang,
  • Ya Gao,
  • Puyi Qian,
  • Lingyan Feng,
  • Fang Chen,
  • Gongshu Liu

DOI
https://doi.org/10.2188/jea.JE20200238
Journal volume & issue
Vol. 32, no. 1
pp. 44 – 52

Abstract

Read online

Background: To investigate the causal link between early-life exposures and long-term health consequences, we established the Tianjin Birth Cohort (TJBC), a large-scale prospective cohort in northern China. Methods: TJBC aims to enroll 10,000 families with follow-ups from pregnancy until children’s six year-old. Pregnant women and their spouses were recruited through a three-tier antenatal healthcare system at early pregnancy, with follow-ups at mid-pregnancy, late pregnancy, delivery, 42 days after delivery, 6 months after delivery, and each year until 6 years old. Antenatal/neonatal examination, biological samples and questionnaires were collected. Results: From August 2017 to January 2019, a total of 3,924 pregnant women have already been enrolled, and 1,697 women have given birth. We observed the prevalence of gestational diabetes mellitus as 18.1%, anemia as 20.4%, and thyroid hypofunction as 2.0%. In singleton live births, 5.6% were preterm birth (PTB), 3.7% were low birth weight, and 7.3% were macrosomia. Based on current data, we also identified maternal/paternal factors which increased the risk of PTB, including paternal age (OR 1.07; 95% CI, 1.01–1.14 for each year increase), vaginal bleeding during pregnancy (OR 2.82; 95% CI, 1.54–5.17) and maternal early-pregnancy BMI (OR 1.08; 95% CI, 1.01–1.15 for each kg/m2 increase). Conclusion: TJBC has the strength of collecting comprehensive maternal, paternal, and childhood information. With a diverse range of biological samples, we are also engaging with emerging new technologies for multi-omics research. The study would provide new insight into the causal link between macro/micro-environmental exposures of early life and short/long-term health consequences.

Keywords