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Born in Guangzhou Cohort Study (BIGCS)
Born in Guangzhou Cohort Study logo
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Sample details

BIGCS was established to investigate the short- and long-term effects of exposure in early life on health consequences in Guangzhou, China. The study recruited eligible pregnant women of Chinese nationality who lived in Guangzhou (usually around 16 weeks of gestation), their spouses and their children for the first prenatal examination at the two campuses of the Women and Children's Medical Center affiliated with Guangzhou Medical University. As of April 2016, over 17,000 women were enrolled in the study, with 4,080 partners and 17,214 pregnancies. The study plans to follow-up all cohort children until age 18 years.

Study design
Cohort - primary caregiver and child

Number of participants at first data collection

17,214 (pregnancies)

17,050 (mothers)

4,080 (partners)

Recruitment is ongoing

Age at first data collection

Varied (mothers)

Birth (babies)

Varied (partners)

Participant year of birth

Varied (mothers)

Varied (babies)

Varied (partners)

Participant sex
All

Representative sample at baseline?
No

Sample features

Mother and child dyad
Pregnant people
Dataset details

Country

China

Year of first data collection

2012

Primary Institutions

Guangzhou Medical University (广州医科大学, GZHMU)

Guangzhou Women and Children’s Medical Center (广州市妇女儿童医疗中心)(GWCMC)

University of Birmingham

Links

bigcs.com.cn/

classic.clinicaltrials.gov/ct2/show/NCT02526901

doi.org/10.1038/s41586-023-06988-4

Funders

Guangdong Provincial Department of Science and Technology

Guangzhou Science Technology and Innovation Commission

Health and Family Planning Commission of Guangzhou Municipality

National Natural Science Foundation of China (国家自然科学基金委员会, NSFC)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Interview – face-to-face
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Education data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Biological samples/biospecimens
    Diet and nutrition
    Education
    Human development
    Infancy and early childhood
    Mental health
    Motherhood
    Occupational exposure
    Physical activity and exercise
    Socioeconomics
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