Atlas Logo
BABY1000
BABY1000 logo
BACK
Sample details

The BABY1000 birth cohort study aims primarily to identify modifiable risks prior to and during pregnancy that impact lifelong health, particularly intergenerational obesity. By extending from preconception or early pregnancy and including comprehensive data collection at multiple timepoints throughout the first 1000 days of life, BABY1000 informs potential intervention studies of environmental exposures (particularly very early in the perinatal period) and associated health outcomes. Women were enrolled when planning pregnancy or at 12 weeks’ gestation, with follow-up extending to the child’s second birthday. Participants were primarily recruited at existing preconception and antenatal clinics from the Royal Prince Alfred Hospital (RPAH) in Sydney, Australia. The mean age of BABY1000 mothers at baseline was 33.3 years.

Study design
Cohort - primary caregiver and child

Number of participants at first data collection

180 (mothers)

180 (children)

Age at first data collection

≥ 18 years (mothers)

Birth (children)

Participant year of birth

Varied (mothers)

2018 - 2020 (children)

Participant sex
All

Representative sample at baseline?
Birthing women at local, state, and national levels in terms of age, parity, country of birth, ethnicity, and BMI in Australia.

Sample features

Mother and child dyad
Mothers
Newborns, infants and babies
Dataset details

Country

Australia

Year of first data collection

2018

Primary Institutions

Royal Prince Alfred Hospital (RPAH)

University of Sydney (USYD)

Links

sydney.edu.au/charles-perkins-centre/our-research/nutrition/baby1000.html

birthcohorts.net/birthcohorts/birthcohort/

facebook.com/BABY1000study/

Funders

Private donations

Ongoing?
Yes

Data types collected

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

Engagement

  • Patients, service users, lived experience involvement
  • Participant or community advisory groups
  • Community engagement
  • Keywords

    Anthropometry
    Biological samples/biospecimens
    COVID-19
    Diet and nutrition
    Environmental factors
    Health behaviour
    Human development
    Infant biosamples
    Pregnancy outcomes
    Contact us

    |

    FAQS

    |

    Privacy

    |

    © 2024 Louise Arseneault

    Platform by Delosis